Key schema

Fields of the tables modders edit most, generated from the database. Rows is how many rows hold the field out of the family's rows. exe is path when the dotted path appears in a game-DB reader, leaf when only its last part does, and hash when the full key hash is an immediate in the exe. The full list for every table is tools/gamedb/catalog/keys.tsv.gz.

Tracks

tracks.Track_N

43 rows, _instancecount_ 43.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
ERSSettings.deployFactor	Track multipliers for ERS deployment, harvesting and hotlap use: deploy factor (inferred)	float	multiplier	0.95..1.1	43/43	path	1 | 1.0 | 1.1
ERSSettings.harvestFactor	Track multipliers for ERS deployment, harvesting and hotlap use: harvest factor (inferred)	float	multiplier	0.501948..1	43/43	path	1 | 0.95 | 0.85
ERSSettings.hotlapFactor	Track multipliers for ERS deployment, harvesting and hotlap use: hotlap factor (inferred)	float	multiplier	1..1.3	43/43	path	1.0 | 1.1 | 1
MirrorSafetyCarOnGrid	Flag: mirror safety car on grid (inferred)	bool		False, True	43/43	leaf	False | True
PoleOnRight	Flag: pole on right (inferred)	bool		False, True	43/43	leaf	False | True
_CareerHubFirstVisit_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	43/43		1
_CareerHubLastVisit_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	43/43		1
_Daylight_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	43/43		1
_TrackCrowds_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	43/43		1
_TrackHighlights_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	43/43		1
_TrackStats_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	43/43		1
_TrackTextures_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	43/43		1
_TrackVideo_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	43/43		1
_Tyres_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	42/43		1
_Weather_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	43/43		1
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			43/43	leaf	melbourne | suzuka | shanghai
acronym_name	Acronym name (inferred)	string			43/43	leaf	lng_track_aus_tla | lng_track_jpn_tla | lng_track_chn_tla
aero_bias	Aero bias (inferred)	string			43/43	leaf	lng_aero_bias_melbourne | lng_aero_bias_suzuka | lng_aero_bias_shanghai
ai_track_config.crowded_rules.num_of_cars_behind	AI behaviour tuning for this track: formation lap, crowding, look-ahead, recovery, safety car, space lines, yielding: num of cars behind (inferred)	int	count	6..20	43/43	path	20 | 6 | 7
ai_track_config.crowded_rules.num_of_cars_infront	AI behaviour tuning for this track: formation lap, crowding, look-ahead, recovery, safety car, space lines, yielding: num of cars infront (inferred)	int	count	5..20	43/43	path	20 | 5 | 6
ai_track_config.crowded_rules.num_of_cars_near	AI behaviour tuning for this track: formation lap, crowding, look-ahead, recovery, safety car, space lines, yielding: num of cars near (inferred)	int	count	9..20	43/43	path	20 | 9 | 11
ai_track_config.crowded_rules.num_of_starting_laps	AI behaviour tuning for this track: formation lap, crowding, look-ahead, recovery, safety car, space lines, yielding: num of starting laps (inferred)	int	count	0	43/43	path	0
ai_track_config.crowded_rules.range_to_count_cars	AI behaviour tuning for this track: formation lap, crowding, look-ahead, recovery, safety car, space lines, yielding: range to count cars (inferred)	float		50..100	43/43	path	100 | 50
ai_track_config.formation_lap.formation_rev_distance	AI behaviour tuning for this track: formation lap, crowding, look-ahead, recovery, safety car, space lines, yielding: formation rev distance (inferred)	float		0..10	43/43	path	10 | 0
ai_track_config.formation_lap.formation_rev_start_dist_max	AI behaviour tuning for this track: formation lap, crowding, look-ahead, recovery, safety car, space lines, yielding: formation rev start dist max (inferred)	float		50	43/43	path	50
ai_track_config.formation_lap.formation_rev_start_dist_min	AI behaviour tuning for this track: formation lap, crowding, look-ahead, recovery, safety car, space lines, yielding: formation rev start dist min (inferred)	float		40	43/43	path	40
ai_track_config.look_ahead.merge_rate_step_max	AI behaviour tuning for this track: formation lap, crowding, look-ahead, recovery, safety car, space lines, yielding: merge rate step max (inferred)	float		30	43/43	path	30
ai_track_config.look_ahead.merge_rate_step_proportion	AI behaviour tuning for this track: formation lap, crowding, look-ahead, recovery, safety car, space lines, yielding: merge rate step proportion (inferred)	float		6	43/43	path	6
ai_track_config.look_ahead.radius_to_distance_graph	AI behaviour tuning for this track: formation lap, crowding, look-ahead, recovery, safety car, space lines, yielding: radius to distance graph (inferred)	curve			43/43	path	@v2@minx:0,maxx:500,miny:0,maxy:50,0:0.08,0:0.1…
ai_track_config.look_ahead.speed_to_distance_graph	AI behaviour tuning for this track: formation lap, crowding, look-ahead, recovery, safety car, space lines, yielding: speed to distance graph (inferred)	curve			43/43	path	@v2@minx:5,maxx:25,miny:15,maxy:60,0:0,0.333333…
ai_track_config.recovery.dist_from_racing_line_to_move_away	AI behaviour tuning for this track: formation lap, crowding, look-ahead, recovery, safety car, space lines, yielding: dist from racing line to move away (inferred)	float		2	43/43	path	2
ai_track_config.recovery.dist_from_racing_line_to_move_towards	AI behaviour tuning for this track: formation lap, crowding, look-ahead, recovery, safety car, space lines, yielding: dist from racing line to move towards (inferred)	float		12	43/43	path	12
ai_track_config.recovery.recovered_speed	AI behaviour tuning for this track: formation lap, crowding, look-ahead, recovery, safety car, space lines, yielding: recovered speed (inferred)	float		29.64	43/43	path	29.64
ai_track_config.recovery.recovery_target_distance	AI behaviour tuning for this track: formation lap, crowding, look-ahead, recovery, safety car, space lines, yielding: recovery target distance (inferred)	float		5..18	43/43	path	18 | 5
ai_track_config.safety_car.min_speed_for_build_gap_return_to_pits	AI behaviour tuning for this track: formation lap, crowding, look-ahead, recovery, safety car, space lines, yielding: min speed for build gap return to pits (inferred)	float		15	43/43	path	15
ai_track_config.safety_car.speed_limit_multi_for_build_gap_return_to_pits	AI behaviour tuning for this track: formation lap, crowding, look-ahead, recovery, safety car, space lines, yielding: speed limit multi for build gap return to pits (inferred)	curve			43/43	path	@v2@minx:0,maxx:200,miny:0,maxy:2,0:0.4,0:0.4,0…
ai_track_config.space_lines.generation_absolute_space_requirement	AI behaviour tuning for this track: formation lap, crowding, look-ahead, recovery, safety car, space lines, yielding: generation absolute space requirement (inferred)	float		2.2	43/43	path	2.2
ai_track_config.space_lines.generation_center_space_percentage	AI behaviour tuning for this track: formation lap, crowding, look-ahead, recovery, safety car, space lines, yielding: generation center space percentage (inferred)	float	%	0.35	43/43	path	0.35
ai_track_config.space_lines.generation_side_space_percentage	AI behaviour tuning for this track: formation lap, crowding, look-ahead, recovery, safety car, space lines, yielding: generation side space percentage (inferred)	float	%	0.15	43/43	path	0.15
ai_track_config.yield.no_need_to_slow_down_fraction	AI behaviour tuning for this track: formation lap, crowding, look-ahead, recovery, safety car, space lines, yielding: no need to slow down fraction (inferred)	float		0.5	43/43	path	0.5
ai_track_config.yield.pit_yield_speed	AI behaviour tuning for this track: formation lap, crowding, look-ahead, recovery, safety car, space lines, yielding: pit yield speed (inferred)	float		15	43/43	path	15
ai_track_config.yield.too_far_ahead_to_slow_down_fraction	AI behaviour tuning for this track: formation lap, crowding, look-ahead, recovery, safety car, space lines, yielding: too far ahead to slow down fraction (inferred)	float		1.5	43/43	path	1.5
ai_track_difficulties.f1_2023_pro_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		1
ai_track_difficulties.f1_2023_pro_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1
ai_track_difficulties.f1_2023_pro_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1_2023_pro_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	120.0
ai_track_difficulties.f1_2023_story_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.195,0.33,0.475,0.61,0.78,0.875,1,1,1,1 | 0.165,0.295,0.425,0.585,0.76,0.86,1,1,1,1 | 0.24,0.355,0.465,0.615,0.785,0.875,1,1,1,1
ai_track_difficulties.f1_2023_story_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.982456,0.964912,0.944862 | 1,1,1,1,1,1,1,0.982456,0.964912,0.947368 | 1,1,1,1,1,1,1,0.982456,0.962406,0.944862
ai_track_difficulties.f1_2023_story_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1_2023_story_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	87.4797,85.3414,83.1587,81.0504,78.9468,77.8517… | 100.274,97.8133,95.3492,92.904,90.3889,89.1933,… | 103.532,100.84,98.3651,95.7969,93.2721,92.0176,…
ai_track_difficulties.f1_2023_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.265,0.37,0.495,0.63,0.795,0.87,1,1,1,1 | 0.27,0.395,0.525,0.645,0.81,0.885,1,1,1,1 | 0.31,0.4,0.53,0.69,0.825,0.905,1,1,1,1
ai_track_difficulties.f1_2023_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.9799,0.952261,0.932161 | 1,1,1,1,1,1,1,0.977387,0.949749,0.932161 | 1,1,1,1,1,1,1,0.972362,0.947236,0.922111
ai_track_difficulties.f1_2023_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1_2023_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.0391,83.9256,81.8091,79.7428,77.6768,76.575,… | 98.5089,96.2515,93.7193,91.3378,88.9252,87.754,… | 102.801,100.412,97.7663,95.1995,92.7306,91.4188…
ai_track_difficulties.f1_2024_beta_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		1 | 0.115,0.215,0.35,0.51,0.71,0.845,1,1,1,1 | 0.2,0.305,0.42,0.57,0.765,0.87,1,1,1,1
ai_track_difficulties.f1_2024_beta_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1 | 1,1,1,1,1,1,1,0.975186,0.955335,0.935484 | 1,1,1,1,1,1,1,0.982456,0.967419,0.954887
ai_track_difficulties.f1_2024_beta_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1_2024_beta_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	120.0 | 96.9333,94.5382,92.1421,89.7421,87.3845,86.1658… | 85.7558,83.6481,81.5816,79.4284,77.347,76.2527,…
ai_track_difficulties.f1_2024_equal_performance_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.15,0.27,0.41,0.56,0.735,0.85,1,1,1,1 | 0.145,0.27,0.42,0.575,0.745,0.865,1,1,1,1 | 0.18,0.28,0.405,0.56,0.76,0.875,1,1,1,1
ai_track_difficulties.f1_2024_equal_performance_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.980149,0.957816,0.937965 | 1,1,1,1,1,1,1,0.980149,0.960298,0.935484 | 1,1,1,1,1,1,1,0.975186,0.952854,0.933002
ai_track_difficulties.f1_2024_equal_performance_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1_2024_equal_performance_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.485,84.3819,82.2412,80.1078,78.0127,76.924,7… | 98.8738,96.2903,93.9171,91.4882,89.0502,87.8839… | 103.012,100.49,97.9267,95.3426,92.775,91.5611,9…
ai_track_difficulties.f1_2024_story_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.495,0.57,0.665,0.765,0.865,0.925,1,1,1,1 | 1 | 0.535,0.62,0.695,0.79,0.89,0.94,1,1,1,1
ai_track_difficulties.f1_2024_story_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.978155,0.958738,0.93932 | 1 | 1,1,1,1,1,1,1,0.975728,0.949029,0.919903
ai_track_difficulties.f1_2024_story_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1_2024_story_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	90.0139,87.9465,85.7083,83.4921,81.2973,80.2004… | 120.0 | 108.019,105.327,102.761,100.084,97.4055,96.0935…
ai_track_difficulties.f1_2024_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.15,0.27,0.41,0.56,0.735,0.85,1,1,1,1 | 0.145,0.27,0.42,0.575,0.745,0.865,1,1,1,1 | 0.18,0.28,0.405,0.56,0.76,0.875,1,1,1,1
ai_track_difficulties.f1_2024_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.980149,0.957816,0.937965 | 1,1,1,1,1,1,1,0.980149,0.960298,0.935484 | 1,1,1,1,1,1,1,0.975186,0.952854,0.933002
ai_track_difficulties.f1_2024_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1_2024_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.485,84.3819,82.2412,80.1078,78.0127,76.924,7… | 98.8738,96.2903,93.9171,91.4882,89.0502,87.8839… | 103.012,100.49,97.9267,95.3426,92.775,91.5611,9…
ai_track_difficulties.f1_2024_world_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.205,0.32,0.45,0.59,0.755,0.86,1,1,1,1 | 0.15,0.28,0.42,0.565,0.76,0.855,1,1,1,1 | 0.195,0.295,0.42,0.57,0.755,0.865,1,1,1,1
ai_track_difficulties.f1_2024_world_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.977941,0.958333,0.941176 | 1,1,1,1,1,1,1,0.977941,0.955882,0.938725 | 1,1,1,1,1,1,1,0.973039,0.948529,0.926471
ai_track_difficulties.f1_2024_world_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1_2024_world_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	88.2727,85.9924,83.8538,81.6674,79.4794,78.4353… | 100.196,97.7403,95.2306,92.7738,90.2909,89.1484… | 104.308,101.595,99.1069,96.5251,93.973,92.6991,…
ai_track_difficulties.f1_2025_equal_performance_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.265,0.37,0.495,0.63,0.795,0.87,1,1,1,1 | 0.27,0.395,0.525,0.645,0.81,0.885,1,1,1,1 | 0.31,0.4,0.53,0.69,0.825,0.905,1,1,1,1
ai_track_difficulties.f1_2025_equal_performance_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.9799,0.952261,0.932161 | 1,1,1,1,1,1,1,0.977387,0.949749,0.932161 | 1,1,1,1,1,1,1,0.972362,0.947236,0.922111
ai_track_difficulties.f1_2025_equal_performance_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1_2025_equal_performance_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.0391,83.9256,81.8091,79.7428,77.6768,76.575,… | 98.5089,96.2515,93.7193,91.3378,88.9252,87.754,… | 102.801,100.412,97.7663,95.1995,92.7306,91.4188…
ai_track_difficulties.f1_2025_story_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.495,0.57,0.665,0.765,0.865,0.925,1,1,1,1 | 1 | 0.535,0.62,0.695,0.79,0.89,0.94,1,1,1,1
ai_track_difficulties.f1_2025_story_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.978155,0.958738,0.93932 | 1 | 1,1,1,1,1,1,1,0.975728,0.949029,0.919903
ai_track_difficulties.f1_2025_story_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1_2025_story_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	90.0139,87.9465,85.7083,83.4921,81.2973,80.2004… | 120.0 | 108.019,105.327,102.761,100.084,97.4055,96.0935…
ai_track_difficulties.f1_2025_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.41,0.455,0.575,0.655,0.805,0.895,1,1,1,1 | 0.385,0.475,0.575,0.7,0.81,0.885,1,1,1,1 | 0.425,0.5,0.6,0.695,0.815,0.885,1,1,1,1
ai_track_difficulties.f1_2025_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.98005,0.9601,0.937656 | 1,1,1,1,1,1,1,0.977556,0.957606,0.935162 | 1,1,1,1,1,1,1,0.975062,0.950125,0.925187
ai_track_difficulties.f1_2025_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1_2025_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	87.8335,85.6648,83.5564,81.3708,79.2115,78.1025… | 99.4633,96.9544,94.5337,92.1007,89.715,88.4486,… | 104.946,102.449,99.8036,97.2147,94.7665,93.4344…
ai_track_difficulties.f1_2025_world_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.385,0.465,0.585,0.695,0.815,0.875,1,1,1,1 | 0.37,0.465,0.575,0.69,0.82,0.895,1,1,1,1 | 0.415,0.515,0.605,0.71,0.83,0.89,1,1,1,1
ai_track_difficulties.f1_2025_world_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.980583,0.961165,0.941748 | 1,1,1,1,1,1,1,0.970874,0.93932,0.919903 | 1,1,1,1,1,1,1,0.975728,0.953883,0.932039
ai_track_difficulties.f1_2025_world_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1_2025_world_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	89.5121,87.2585,85.1023,82.8954,80.6323,79.6333… | 101.54,98.937,96.5783,94.0796,91.4993,90.1927,8… | 106.498,103.766,101.153,98.5452,95.9193,94.7118…
ai_track_difficulties.f1_2026_equal_performance_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.265,0.37,0.495,0.63,0.795,0.87,1,1,1,1 | 0.27,0.395,0.525,0.645,0.81,0.885,1,1,1,1 | 0.31,0.4,0.53,0.69,0.825,0.905,1,1,1,1
ai_track_difficulties.f1_2026_equal_performance_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.9799,0.952261,0.932161 | 1,1,1,1,1,1,1,0.977387,0.949749,0.932161 | 1,1,1,1,1,1,1,0.972362,0.947236,0.922111
ai_track_difficulties.f1_2026_equal_performance_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1_2026_equal_performance_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.0391,83.9256,81.8091,79.7428,77.6768,76.575,… | 98.5089,96.2515,93.7193,91.3378,88.9252,87.754,… | 102.801,100.412,97.7663,95.1995,92.7306,91.4188…
ai_track_difficulties.f1_2026_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.26,0.375,0.525,0.625,0.755,0.855,1,1,1,1 | 0.24,0.38,0.5,0.64,0.76,0.86,1,1,1,1 | 0.315,0.405,0.505,0.635,0.775,0.865,1,1,1,1
ai_track_difficulties.f1_2026_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.971503,0.955959,0.932642 | 1,1,1,1,1,1,1,0.971503,0.945596,0.927461 | 1,1,1,1,1,1,1,0.974093,0.950777,0.92487
ai_track_difficulties.f1_2026_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1_2026_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	90.0564,87.8324,85.0401,82.5752,80.1146,78.9383… | 101.972,98.9724,96.235,93.4465,90.7128,89.3942,… | 105.322,102.496,99.5523,96.637,93.7915,92.4022,…
ai_track_difficulties.f1_classic_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		1
ai_track_difficulties.f1_classic_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1
ai_track_difficulties.f1_classic_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1_classic_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	120.0
ai_track_difficulties.f1_safetycar_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		1
ai_track_difficulties.f1_safetycar_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1
ai_track_difficulties.f1_safetycar_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1_safetycar_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	120.0
ai_track_difficulties.f1cg_classics_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.265,0.37,0.495,0.63,0.795,0.87,1,1,1,1 | 0.27,0.395,0.525,0.645,0.81,0.885,1,1,1,1 | 0.31,0.4,0.53,0.69,0.825,0.905,1,1,1,1
ai_track_difficulties.f1cg_classics_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.9799,0.952261,0.932161 | 1,1,1,1,1,1,1,0.977387,0.949749,0.932161 | 1,1,1,1,1,1,1,0.972362,0.947236,0.922111
ai_track_difficulties.f1cg_classics_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1cg_classics_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.0391,83.9256,81.8091,79.7428,77.6768,76.575,… | 98.5089,96.2515,93.7193,91.3378,88.9252,87.754,… | 102.801,100.412,97.7663,95.1995,92.7306,91.4188…
ai_track_difficulties.f1cg_f1_2010_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.265,0.37,0.495,0.63,0.795,0.87,1,1,1,1 | 0.27,0.395,0.525,0.645,0.81,0.885,1,1,1,1 | 0.31,0.4,0.53,0.69,0.825,0.905,1,1,1,1
ai_track_difficulties.f1cg_f1_2010_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.9799,0.952261,0.932161 | 1,1,1,1,1,1,1,0.977387,0.949749,0.932161 | 1,1,1,1,1,1,1,0.972362,0.947236,0.922111
ai_track_difficulties.f1cg_f1_2010_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1cg_f1_2010_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.0391,83.9256,81.8091,79.7428,77.6768,76.575,… | 98.5089,96.2515,93.7193,91.3378,88.9252,87.754,… | 102.801,100.412,97.7663,95.1995,92.7306,91.4188…
ai_track_difficulties.f1cg_f1_2011_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.265,0.37,0.495,0.63,0.795,0.87,1,1,1,1 | 0.27,0.395,0.525,0.645,0.81,0.885,1,1,1,1 | 0.31,0.4,0.53,0.69,0.825,0.905,1,1,1,1
ai_track_difficulties.f1cg_f1_2011_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.9799,0.952261,0.932161 | 1,1,1,1,1,1,1,0.977387,0.949749,0.932161 | 1,1,1,1,1,1,1,0.972362,0.947236,0.922111
ai_track_difficulties.f1cg_f1_2011_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1cg_f1_2011_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.0391,83.9256,81.8091,79.7428,77.6768,76.575,… | 98.5089,96.2515,93.7193,91.3378,88.9252,87.754,… | 102.801,100.412,97.7663,95.1995,92.7306,91.4188…
ai_track_difficulties.f1cg_f1_2012_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.265,0.37,0.495,0.63,0.795,0.87,1,1,1,1 | 0.27,0.395,0.525,0.645,0.81,0.885,1,1,1,1 | 0.31,0.4,0.53,0.69,0.825,0.905,1,1,1,1
ai_track_difficulties.f1cg_f1_2012_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.9799,0.952261,0.932161 | 1,1,1,1,1,1,1,0.977387,0.949749,0.932161 | 1,1,1,1,1,1,1,0.972362,0.947236,0.922111
ai_track_difficulties.f1cg_f1_2012_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1cg_f1_2012_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.0391,83.9256,81.8091,79.7428,77.6768,76.575,… | 98.5089,96.2515,93.7193,91.3378,88.9252,87.754,… | 102.801,100.412,97.7663,95.1995,92.7306,91.4188…
ai_track_difficulties.f1cg_f1_2013_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.265,0.37,0.495,0.63,0.795,0.87,1,1,1,1 | 0.27,0.395,0.525,0.645,0.81,0.885,1,1,1,1 | 0.31,0.4,0.53,0.69,0.825,0.905,1,1,1,1
ai_track_difficulties.f1cg_f1_2013_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.9799,0.952261,0.932161 | 1,1,1,1,1,1,1,0.977387,0.949749,0.932161 | 1,1,1,1,1,1,1,0.972362,0.947236,0.922111
ai_track_difficulties.f1cg_f1_2013_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1cg_f1_2013_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.0391,83.9256,81.8091,79.7428,77.6768,76.575,… | 98.5089,96.2515,93.7193,91.3378,88.9252,87.754,… | 102.801,100.412,97.7663,95.1995,92.7306,91.4188…
ai_track_difficulties.f1cg_f1_2014_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.265,0.37,0.495,0.63,0.795,0.87,1,1,1,1 | 0.27,0.395,0.525,0.645,0.81,0.885,1,1,1,1 | 0.31,0.4,0.53,0.69,0.825,0.905,1,1,1,1
ai_track_difficulties.f1cg_f1_2014_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.9799,0.952261,0.932161 | 1,1,1,1,1,1,1,0.977387,0.949749,0.932161 | 1,1,1,1,1,1,1,0.972362,0.947236,0.922111
ai_track_difficulties.f1cg_f1_2014_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1cg_f1_2014_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.0391,83.9256,81.8091,79.7428,77.6768,76.575,… | 98.5089,96.2515,93.7193,91.3378,88.9252,87.754,… | 102.801,100.412,97.7663,95.1995,92.7306,91.4188…
ai_track_difficulties.f1cg_f1_2015_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.265,0.37,0.495,0.63,0.795,0.87,1,1,1,1 | 0.27,0.395,0.525,0.645,0.81,0.885,1,1,1,1 | 0.31,0.4,0.53,0.69,0.825,0.905,1,1,1,1
ai_track_difficulties.f1cg_f1_2015_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.9799,0.952261,0.932161 | 1,1,1,1,1,1,1,0.977387,0.949749,0.932161 | 1,1,1,1,1,1,1,0.972362,0.947236,0.922111
ai_track_difficulties.f1cg_f1_2015_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1cg_f1_2015_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.0391,83.9256,81.8091,79.7428,77.6768,76.575,… | 98.5089,96.2515,93.7193,91.3378,88.9252,87.754,… | 102.801,100.412,97.7663,95.1995,92.7306,91.4188…
ai_track_difficulties.f1cg_f1_2016_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.265,0.37,0.495,0.63,0.795,0.87,1,1,1,1 | 0.27,0.395,0.525,0.645,0.81,0.885,1,1,1,1 | 0.31,0.4,0.53,0.69,0.825,0.905,1,1,1,1
ai_track_difficulties.f1cg_f1_2016_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.9799,0.952261,0.932161 | 1,1,1,1,1,1,1,0.977387,0.949749,0.932161 | 1,1,1,1,1,1,1,0.972362,0.947236,0.922111
ai_track_difficulties.f1cg_f1_2016_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1cg_f1_2016_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.0391,83.9256,81.8091,79.7428,77.6768,76.575,… | 98.5089,96.2515,93.7193,91.3378,88.9252,87.754,… | 102.801,100.412,97.7663,95.1995,92.7306,91.4188…
ai_track_difficulties.f1cg_f1_2017_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.265,0.37,0.495,0.63,0.795,0.87,1,1,1,1 | 0.27,0.395,0.525,0.645,0.81,0.885,1,1,1,1 | 0.31,0.4,0.53,0.69,0.825,0.905,1,1,1,1
ai_track_difficulties.f1cg_f1_2017_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.9799,0.952261,0.932161 | 1,1,1,1,1,1,1,0.977387,0.949749,0.932161 | 1,1,1,1,1,1,1,0.972362,0.947236,0.922111
ai_track_difficulties.f1cg_f1_2017_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1cg_f1_2017_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.0391,83.9256,81.8091,79.7428,77.6768,76.575,… | 98.5089,96.2515,93.7193,91.3378,88.9252,87.754,… | 102.801,100.412,97.7663,95.1995,92.7306,91.4188…
ai_track_difficulties.f1cg_f1_2018_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.265,0.37,0.495,0.63,0.795,0.87,1,1,1,1 | 0.27,0.395,0.525,0.645,0.81,0.885,1,1,1,1 | 0.31,0.4,0.53,0.69,0.825,0.905,1,1,1,1
ai_track_difficulties.f1cg_f1_2018_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.9799,0.952261,0.932161 | 1,1,1,1,1,1,1,0.977387,0.949749,0.932161 | 1,1,1,1,1,1,1,0.972362,0.947236,0.922111
ai_track_difficulties.f1cg_f1_2018_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1cg_f1_2018_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.0391,83.9256,81.8091,79.7428,77.6768,76.575,… | 98.5089,96.2515,93.7193,91.3378,88.9252,87.754,… | 102.801,100.412,97.7663,95.1995,92.7306,91.4188…
ai_track_difficulties.f1cg_f1_2019_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.265,0.37,0.495,0.63,0.795,0.87,1,1,1,1 | 0.27,0.395,0.525,0.645,0.81,0.885,1,1,1,1 | 0.31,0.4,0.53,0.69,0.825,0.905,1,1,1,1
ai_track_difficulties.f1cg_f1_2019_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.9799,0.952261,0.932161 | 1,1,1,1,1,1,1,0.977387,0.949749,0.932161 | 1,1,1,1,1,1,1,0.972362,0.947236,0.922111
ai_track_difficulties.f1cg_f1_2019_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1cg_f1_2019_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.0391,83.9256,81.8091,79.7428,77.6768,76.575,… | 98.5089,96.2515,93.7193,91.3378,88.9252,87.754,… | 102.801,100.412,97.7663,95.1995,92.7306,91.4188…
ai_track_difficulties.f1cg_f1_2020_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.265,0.37,0.495,0.63,0.795,0.87,1,1,1,1 | 0.27,0.395,0.525,0.645,0.81,0.885,1,1,1,1 | 0.31,0.4,0.53,0.69,0.825,0.905,1,1,1,1
ai_track_difficulties.f1cg_f1_2020_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.9799,0.952261,0.932161 | 1,1,1,1,1,1,1,0.977387,0.949749,0.932161 | 1,1,1,1,1,1,1,0.972362,0.947236,0.922111
ai_track_difficulties.f1cg_f1_2020_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1cg_f1_2020_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.0391,83.9256,81.8091,79.7428,77.6768,76.575,… | 98.5089,96.2515,93.7193,91.3378,88.9252,87.754,… | 102.801,100.412,97.7663,95.1995,92.7306,91.4188…
ai_track_difficulties.f1cg_f1_2021_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.265,0.37,0.495,0.63,0.795,0.87,1,1,1,1 | 0.27,0.395,0.525,0.645,0.81,0.885,1,1,1,1 | 0.31,0.4,0.53,0.69,0.825,0.905,1,1,1,1
ai_track_difficulties.f1cg_f1_2021_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.9799,0.952261,0.932161 | 1,1,1,1,1,1,1,0.977387,0.949749,0.932161 | 1,1,1,1,1,1,1,0.972362,0.947236,0.922111
ai_track_difficulties.f1cg_f1_2021_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1cg_f1_2021_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.0391,83.9256,81.8091,79.7428,77.6768,76.575,… | 98.5089,96.2515,93.7193,91.3378,88.9252,87.754,… | 102.801,100.412,97.7663,95.1995,92.7306,91.4188…
ai_track_difficulties.f1cg_f1_2022_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.265,0.37,0.495,0.63,0.795,0.87,1,1,1,1 | 0.27,0.395,0.525,0.645,0.81,0.885,1,1,1,1 | 0.31,0.4,0.53,0.69,0.825,0.905,1,1,1,1
ai_track_difficulties.f1cg_f1_2022_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.9799,0.952261,0.932161 | 1,1,1,1,1,1,1,0.977387,0.949749,0.932161 | 1,1,1,1,1,1,1,0.972362,0.947236,0.922111
ai_track_difficulties.f1cg_f1_2022_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1cg_f1_2022_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.0391,83.9256,81.8091,79.7428,77.6768,76.575,… | 98.5089,96.2515,93.7193,91.3378,88.9252,87.754,… | 102.801,100.412,97.7663,95.1995,92.7306,91.4188…
ai_track_difficulties.f1cg_f1_2023_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.265,0.37,0.495,0.63,0.795,0.87,1,1,1,1 | 0.27,0.395,0.525,0.645,0.81,0.885,1,1,1,1 | 0.31,0.4,0.53,0.69,0.825,0.905,1,1,1,1
ai_track_difficulties.f1cg_f1_2023_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.9799,0.952261,0.932161 | 1,1,1,1,1,1,1,0.977387,0.949749,0.932161 | 1,1,1,1,1,1,1,0.972362,0.947236,0.922111
ai_track_difficulties.f1cg_f1_2023_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1cg_f1_2023_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.0391,83.9256,81.8091,79.7428,77.6768,76.575,… | 98.5089,96.2515,93.7193,91.3378,88.9252,87.754,… | 102.801,100.412,97.7663,95.1995,92.7306,91.4188…
ai_track_difficulties.f1cg_f1_2024_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.265,0.37,0.495,0.63,0.795,0.87,1,1,1,1 | 0.27,0.395,0.525,0.645,0.81,0.885,1,1,1,1 | 0.31,0.4,0.53,0.69,0.825,0.905,1,1,1,1
ai_track_difficulties.f1cg_f1_2024_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.9799,0.952261,0.932161 | 1,1,1,1,1,1,1,0.977387,0.949749,0.932161 | 1,1,1,1,1,1,1,0.972362,0.947236,0.922111
ai_track_difficulties.f1cg_f1_2024_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1cg_f1_2024_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.0391,83.9256,81.8091,79.7428,77.6768,76.575,… | 98.5089,96.2515,93.7193,91.3378,88.9252,87.754,… | 102.801,100.412,97.7663,95.1995,92.7306,91.4188…
ai_track_difficulties.f1cg_f2_2017_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.265,0.37,0.495,0.63,0.795,0.87,1,1,1,1 | 0.27,0.395,0.525,0.645,0.81,0.885,1,1,1,1 | 0.31,0.4,0.53,0.69,0.825,0.905,1,1,1,1
ai_track_difficulties.f1cg_f2_2017_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.9799,0.952261,0.932161 | 1,1,1,1,1,1,1,0.977387,0.949749,0.932161 | 1,1,1,1,1,1,1,0.972362,0.947236,0.922111
ai_track_difficulties.f1cg_f2_2017_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1cg_f2_2017_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.0391,83.9256,81.8091,79.7428,77.6768,76.575,… | 98.5089,96.2515,93.7193,91.3378,88.9252,87.754,… | 102.801,100.412,97.7663,95.1995,92.7306,91.4188…
ai_track_difficulties.f1cg_f2_2018_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.265,0.37,0.495,0.63,0.795,0.87,1,1,1,1 | 0.27,0.395,0.525,0.645,0.81,0.885,1,1,1,1 | 0.31,0.4,0.53,0.69,0.825,0.905,1,1,1,1
ai_track_difficulties.f1cg_f2_2018_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.9799,0.952261,0.932161 | 1,1,1,1,1,1,1,0.977387,0.949749,0.932161 | 1,1,1,1,1,1,1,0.972362,0.947236,0.922111
ai_track_difficulties.f1cg_f2_2018_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1cg_f2_2018_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.0391,83.9256,81.8091,79.7428,77.6768,76.575,… | 98.5089,96.2515,93.7193,91.3378,88.9252,87.754,… | 102.801,100.412,97.7663,95.1995,92.7306,91.4188…
ai_track_difficulties.f1cg_f2_2019_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.265,0.37,0.495,0.63,0.795,0.87,1,1,1,1 | 0.27,0.395,0.525,0.645,0.81,0.885,1,1,1,1 | 0.31,0.4,0.53,0.69,0.825,0.905,1,1,1,1
ai_track_difficulties.f1cg_f2_2019_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.9799,0.952261,0.932161 | 1,1,1,1,1,1,1,0.977387,0.949749,0.932161 | 1,1,1,1,1,1,1,0.972362,0.947236,0.922111
ai_track_difficulties.f1cg_f2_2019_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1cg_f2_2019_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.0391,83.9256,81.8091,79.7428,77.6768,76.575,… | 98.5089,96.2515,93.7193,91.3378,88.9252,87.754,… | 102.801,100.412,97.7663,95.1995,92.7306,91.4188…
ai_track_difficulties.f1cg_f2_2020_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.265,0.37,0.495,0.63,0.795,0.87,1,1,1,1 | 0.27,0.395,0.525,0.645,0.81,0.885,1,1,1,1 | 0.31,0.4,0.53,0.69,0.825,0.905,1,1,1,1
ai_track_difficulties.f1cg_f2_2020_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.9799,0.952261,0.932161 | 1,1,1,1,1,1,1,0.977387,0.949749,0.932161 | 1,1,1,1,1,1,1,0.972362,0.947236,0.922111
ai_track_difficulties.f1cg_f2_2020_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1cg_f2_2020_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.0391,83.9256,81.8091,79.7428,77.6768,76.575,… | 98.5089,96.2515,93.7193,91.3378,88.9252,87.754,… | 102.801,100.412,97.7663,95.1995,92.7306,91.4188…
ai_track_difficulties.f1cg_f2_2021_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.265,0.37,0.495,0.63,0.795,0.87,1,1,1,1 | 0.27,0.395,0.525,0.645,0.81,0.885,1,1,1,1 | 0.31,0.4,0.53,0.69,0.825,0.905,1,1,1,1
ai_track_difficulties.f1cg_f2_2021_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.9799,0.952261,0.932161 | 1,1,1,1,1,1,1,0.977387,0.949749,0.932161 | 1,1,1,1,1,1,1,0.972362,0.947236,0.922111
ai_track_difficulties.f1cg_f2_2021_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1cg_f2_2021_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.0391,83.9256,81.8091,79.7428,77.6768,76.575,… | 98.5089,96.2515,93.7193,91.3378,88.9252,87.754,… | 102.801,100.412,97.7663,95.1995,92.7306,91.4188…
ai_track_difficulties.f1cg_f2_2022_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.265,0.37,0.495,0.63,0.795,0.87,1,1,1,1 | 0.27,0.395,0.525,0.645,0.81,0.885,1,1,1,1 | 0.31,0.4,0.53,0.69,0.825,0.905,1,1,1,1
ai_track_difficulties.f1cg_f2_2022_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.9799,0.952261,0.932161 | 1,1,1,1,1,1,1,0.977387,0.949749,0.932161 | 1,1,1,1,1,1,1,0.972362,0.947236,0.922111
ai_track_difficulties.f1cg_f2_2022_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1cg_f2_2022_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.0391,83.9256,81.8091,79.7428,77.6768,76.575,… | 98.5089,96.2515,93.7193,91.3378,88.9252,87.754,… | 102.801,100.412,97.7663,95.1995,92.7306,91.4188…
ai_track_difficulties.f1cg_f2_2023_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.265,0.37,0.495,0.63,0.795,0.87,1,1,1,1 | 0.27,0.395,0.525,0.645,0.81,0.885,1,1,1,1 | 0.31,0.4,0.53,0.69,0.825,0.905,1,1,1,1
ai_track_difficulties.f1cg_f2_2023_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.9799,0.952261,0.932161 | 1,1,1,1,1,1,1,0.977387,0.949749,0.932161 | 1,1,1,1,1,1,1,0.972362,0.947236,0.922111
ai_track_difficulties.f1cg_f2_2023_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1cg_f2_2023_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.0391,83.9256,81.8091,79.7428,77.6768,76.575,… | 98.5089,96.2515,93.7193,91.3378,88.9252,87.754,… | 102.801,100.412,97.7663,95.1995,92.7306,91.4188…
ai_track_difficulties.f1cg_f2_2024_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.265,0.37,0.495,0.63,0.795,0.87,1,1,1,1 | 0.27,0.395,0.525,0.645,0.81,0.885,1,1,1,1 | 0.31,0.4,0.53,0.69,0.825,0.905,1,1,1,1
ai_track_difficulties.f1cg_f2_2024_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.9799,0.952261,0.932161 | 1,1,1,1,1,1,1,0.977387,0.949749,0.932161 | 1,1,1,1,1,1,1,0.972362,0.947236,0.922111
ai_track_difficulties.f1cg_f2_2024_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f1cg_f2_2024_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	86.0391,83.9256,81.8091,79.7428,77.6768,76.575,… | 98.5089,96.2515,93.7193,91.3378,88.9252,87.754,… | 102.801,100.412,97.7663,95.1995,92.7306,91.4188…
ai_track_difficulties.f2_2022_story_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.195,0.33,0.475,0.61,0.78,0.875,1,1,1,1 | 0.165,0.295,0.425,0.585,0.76,0.86,1,1,1,1 | 0.24,0.355,0.465,0.615,0.785,0.875,1,1,1,1
ai_track_difficulties.f2_2022_story_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.982456,0.964912,0.944862 | 1,1,1,1,1,1,1,0.982456,0.964912,0.947368 | 1,1,1,1,1,1,1,0.982456,0.962406,0.944862
ai_track_difficulties.f2_2022_story_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f2_2022_story_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	87.4797,85.3414,83.1587,81.0504,78.9468,77.8517… | 100.274,97.8133,95.3492,92.904,90.3889,89.1933,… | 103.532,100.84,98.3651,95.7969,93.2721,92.0176,…
ai_track_difficulties.f2_2022_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.315,0.435,0.55,0.685,0.85,0.93,1,1,1,1 | 0.32,0.44,0.555,0.69,0.83,0.905,1,1,1,1 | 0.345,0.46,0.57,0.69,0.825,0.91,1,1,1,1
ai_track_difficulties.f2_2022_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.987277,0.969466,0.951654 | 1,1,1,1,1,1,1,0.987277,0.97201,0.954198 | 1,1,1,1,1,1,1,0.984733,0.961832,0.94402
ai_track_difficulties.f2_2022_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f2_2022_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	98.7034,96.3045,93.8663,91.4107,89.0026,87.8977… | 113.221,110.351,107.733,104.911,102.097,100.674… | 116.1,113.124,110.434,107.562,104.677,103.233,1…
ai_track_difficulties.f2_2023_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.2,0.32,0.445,0.58,0.745,0.85,1,1,1,1 | 0.175,0.26,0.41,0.565,0.735,0.86,1,1,1,1 | 0.17,0.285,0.415,0.55,0.72,0.825,1,1,1,1
ai_track_difficulties.f2_2023_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.978947,0.955263,0.931579 | 1,1,1,1,1,1,1,0.978947,0.955263,0.936842 | 1,1,1,1,1,1,1,0.976316,0.95,0.923684
ai_track_difficulties.f2_2023_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f2_2023_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	99.6209,97.1954,94.6672,92.2961,89.8575,88.5987… | 114.228,111.567,108.768,106.062,103.169,101.733… | 116.68,113.747,110.937,107.981,105.197,103.748,…
ai_track_difficulties.f2_2024_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.335,0.465,0.555,0.685,0.8,0.88,1,1,1,1 | 0.295,0.435,0.515,0.63,0.805,0.88,1,1,1,1 | 0.355,0.44,0.535,0.655,0.785,0.88,1,1,1,1
ai_track_difficulties.f2_2024_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.97449,0.94898,0.920918 | 1,1,1,1,1,1,1,0.969388,0.941327,0.908163 | 1,1,1,1,1,1,1,0.97449,0.943878,0.913265
ai_track_difficulties.f2_2024_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f2_2024_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	98.6903,96.3747,93.7817,91.2757,88.9763,87.8153… | 111.496,108.619,106.058,103.301,100.492,99.1304… | 115.715,112.617,109.909,107.107,104.176,102.81,…
ai_track_difficulties.f2_2025_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.235,0.375,0.485,0.615,0.78,0.87,1,1,1,1 | 0.22,0.325,0.435,0.57,0.74,0.845,1,1,1,1 | 0.295,0.37,0.495,0.625,0.775,0.88,1,1,1,1
ai_track_difficulties.f2_2025_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.977041,0.954082,0.92602 | 1,1,1,1,1,1,1,0.97449,0.94898,0.918367 | 1,1,1,1,1,1,1,0.971939,0.946429,0.913265
ai_track_difficulties.f2_2025_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f2_2025_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	98.6728,96.2594,93.865,91.3755,88.9568,87.7449,… | 111.457,108.792,106.04,103.279,100.579,99.1663,… | 115.324,112.526,109.823,106.822,104.154,102.659…
ai_track_difficulties.f2_2026_vehicle_package.difficulty_ratio	AI difficulty calibration per vehicle package for this track: difficulty ratio (proven)	t8	multiplier		43/43		0.235,0.375,0.485,0.615,0.78,0.87,1,1,1,1 | 0.22,0.325,0.435,0.57,0.74,0.845,1,1,1,1 | 0.295,0.37,0.495,0.625,0.775,0.88,1,1,1,1
ai_track_difficulties.f2_2026_vehicle_package.mass_ratio	AI difficulty calibration per vehicle package for this track: mass ratio (proven)	t8	multiplier		43/43		1,1,1,1,1,1,1,0.977041,0.954082,0.92602 | 1,1,1,1,1,1,1,0.97449,0.94898,0.918367 | 1,1,1,1,1,1,1,0.971939,0.946429,0.913265
ai_track_difficulties.f2_2026_vehicle_package.max_dificulty_no_balast_slider_position	AI difficulty calibration per vehicle package for this track: max dificulty no balast slider position (proven)	int		100	43/43	leaf	100
ai_track_difficulties.f2_2026_vehicle_package.time	Reference lap time the AI difficulty scale is calibrated to (inferred)	t8	s		43/43	leaf	98.6728,96.2594,93.865,91.3755,88.9568,87.7449,… | 111.457,108.792,106.04,103.279,100.579,99.1663,… | 115.324,112.526,109.823,106.822,104.154,102.659…
allow_day_start	Flag: allow day start (inferred)	bool		True	43/43	leaf	True
allow_night_start	Whether sessions can start at night (inferred)	bool		False, True	43/43	leaf	False | True
barometricReferencePressure	Barometric reference pressure (inferred)	float		0.775..1.003	43/43	leaf	1 | 0.996 | 0.993
baseTrack	Track this layout is based on (reverse and variant layouts) (inferred)	id			43/43	leaf	| silverstone | austria
career_time.practice_2	Career time practice (inferred)	int		1	43/43	path	1
circuit	Circuit (inferred)	string			43/43	leaf	lng_track_aus_subtitle | lng_track_jpn_subtitle | lng_track_chn_subtitle
city_name	City name (inferred)	string			43/43	leaf	lng_track_aus_city_name | lng_track_jpn_city_name | lng_track_chn_city_name
city_name_short	City name short (inferred)	string			43/43	leaf	lng_track_aus_city_name | lng_track_jpn_city_name | lng_track_chn_city_name
continent	Label of a row in tracks.attributes.Continent_N (inferred)	id			43/43	leaf	AsiaAndOceania | Americas | Europe
country_name	Country name (inferred)	string			43/43	leaf	lng_track_aus_title | lng_track_jpn_title | lng_track_chn_title
direction	Direction (inferred)	enum		lng_direction_ccw, lng_direction_cw	43/43	leaf	lng_direction_cw | lng_direction_ccw
downForceLevel	Down force level (inferred)	enum		high, low, medium, very_high, very_low	43/43	leaf	medium | low | very_high
fileName	Track folder name under environment_package/tracks (inferred)	string			43/43	leaf	melbourne | suzuka | shanghai
fuel_burn_per_lap	Fuel burn per lap (inferred)	float		0.68..2.25	43/43	leaf	1.74 | 1.86 | 1.82
gp_long_name	Gp long name (inferred)	string			43/43	leaf	lng_track_aus_gp_title | lng_track_jpn_gp_title | lng_track_chn_gp_title
gp_long_name_multiline	Gp long name multiline (inferred)	string			43/43	leaf	lng_track_aus_gp_title_multiline | lng_track_jpn_gp_title_multiline | lng_track_chn_gp_title_multiline
gp_long_name_multiline_previous	Gp long name multiline previous (inferred)	string			43/43	leaf	lng_track_aus_gp_title_multiline_previous | lng_track_jpn_gp_title_multiline_previous |
gp_short_name	Gp short name (inferred)	string			43/43	leaf	lng_track_aus_gp_title_short | lng_track_jpn_gp_title_short | lng_track_chn_gp_title_short
has_radiance_bake	Flag: has radiance bake (inferred)	bool		False, True	43/43	leaf	False | True
instanceName	Track id used as the label in every per-track table (bahrain, monza) (proven)	string			43/43	leaf	melbourne | suzuka | shanghai
is_short_version	Flag: is short version (inferred)	bool		False, True	43/43	leaf	False | True
latitude	Latitude of the circuit (inferred)	float	degrees	-37.8443..52.3711	43/43	leaf	-37.84435 | 34.84558 | 31.3395
lb_min_time	Lb min time (inferred)	float		25..96.92	43/43	leaf	72.511 | 83.446 | 85.853
league_description	League description (inferred)	string			43/43	leaf	lng_calendar_league_event_desc_aus | lng_calendar_league_event_desc_jpn | lng_calendar_league_event_desc_chn
length_metres	Lap length (inferred)	int	m	0..7004	43/43	leaf	5278 | 5807 | 5451
longitude	Longitude of the circuit (inferred)	float	degrees	-115.169..144.969	43/43	leaf	144.9686 | 136.539 | 121.2217
nationality	Label of a row in entrants.nationality.nationality_N (inferred)	string			43/43	leaf	australia | japan | china
numberOfCorners	Number of corners shown in track info (inferred)	int	corners	8..27	43/43	leaf	16 | 18 | 15
performance_type	Label of a row in tracks.attributes.PerformanceType_N (inferred)	id			43/43	leaf	HighTopSpeed | Balanced | HighDownforce
pitMirrored	Flag: pit mirrored (inferred)	bool		False, True	43/43	leaf	False | True
proportion_around_track_considered_race_start	Proportion around track considered race start (inferred)	float		0.05	43/43	leaf	0.05
reverse_track_trophy_name	Reverse track trophy name (inferred)	string			43/43	leaf	| lng_track_gbr_title | lng_track_aut_title
short_version_title	Short version title (inferred)	string			43/43	leaf	| lng_track_usa_title | lng_track_jpn_title
statId	Numeric id of the row, unique in its table (proven)	int		0..42	43/43	leaf	0 | 13 | 2
title	Title (inferred)	string			43/43	leaf	lng_track_aus_title | lng_track_jpn_title | lng_track_chn_title
trackMirrored	Flag: track mirrored (inferred)	bool		False, True	43/43	leaf	False | True
track_resource	Label of the tracks.track_resource row whose asset groups the track loads (proven)	id			43/43	leaf	2019 | reverse_track
track_strategy.prefer_less_stops	Default race strategy data for the track: prefer less stops (inferred)	bool		False, True	43/43	path	False | True
track_strategy.release_queue_end_of_session_max_seperation_time	Default race strategy data for the track: release queue end of session max seperation time (inferred)	float		4	43/43	path	4
track_strategy.release_queue_end_of_session_min_seperation_time	Default race strategy data for the track: release queue end of session min seperation time (inferred)	float		2	43/43	path	2
track_strategy.release_queue_max_seperation_time	Default race strategy data for the track: release queue max seperation time (inferred)	float		16	43/43	path	16
track_strategy.release_queue_min_seperation_time	Default race strategy data for the track: release queue min seperation time (inferred)	float		6	43/43	path	6
track_strategy.usable_free_runs	Default race strategy data for the track: usable free runs (inferred)	list			43/43	path	installation_lap,installation_lap_2,sprint_shoo…
track_strategy.usable_track_capacity_graphs	Default race strategy data for the track: usable track capacity graphs (inferred)	list			43/43	path	default_cap,quiet_start | default_cap,higher_cap
trophyType	Trophy type (inferred)	string			43/43	leaf	trophy_open_c | trophy_open_a | trophy_closed_a
tyre_wear	Label of a row in tracks.attributes.TyreWear_N (inferred)	id			43/43	leaf	Medium | Low | High
weather_strategy.lap_time_scalar_max_clamp	Weather strategy lap time scalar max clamp (inferred)	float		0	43/43	path	0
weather_strategy.lap_time_scalar_min_clamp	Weather strategy lap time scalar min clamp (inferred)	float		0	43/43	path	0
weather_strategy.num_look_ahead_laps	Weather strategy num look ahead laps (inferred)	float	count	1	43/43	path	1
weather_strategy.wetness_trend_threshold	Weather strategy wetness trend threshold (inferred)	float		0.01	43/43	path	0.01
weekend_year	Weekend year (inferred)	int		2016..2020	43/43	leaf	2017 | 2016 | 2020
will_not_be_added_post_launch	Flag: will not be added post launch (inferred)	bool		False	43/43	leaf	False

tracks.Track_N.CareerHubFirstVisit_N

43 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			43/43	leaf	career_hub_first_visit
timeofday	Time of day for the career hub scene; a missing key crashes at startup (proven)	t7	HH,MM		43/43	leaf	7,20 | 7,00 | 8,00

tracks.Track_N.CareerHubLastVisit_N

43 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			43/43	leaf	career_hub_last_visit
timeofday	Time of day for the career hub scene; a missing key crashes at startup (proven)	t7	HH,MM		43/43	leaf	18,0 | 17,10 | 18,30

tracks.Track_N.Daylight_N

43 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			43/43	leaf	daylight
end	Time daylight ends; a missing key crashes at startup (proven)	t7	HH,MM		43/43	leaf	17,30 | 16,45 | 17,50
start	Time daylight starts; a missing key crashes at startup (proven)	t7	HH,MM		43/43	leaf	06,45 | 06,25 | 06,15

tracks.Track_N.TrackCrowds_N

43 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			43/43	leaf	crowds
coloursToUse	Colours to use (inferred)	int		1..3	43/43	leaf	2 | 3 | 1
crowdColour1	Crowd colour1 (inferred)	t11	ARGB	-15319387..-30961	43/43	leaf	-409082 | -2105377 | -518634
crowdColour2	Crowd colour2 (inferred)	t11	ARGB	-16777216..-30961	43/43	leaf	-16777056 | -2616270 | -1462265
crowdColour3	Crowd colour3 (inferred)	t11	ARGB	-16777216..-30961	43/43	leaf	| -16777216 | -4052680
crowdColourBias	Crowd colour bias (inferred)	float		0..0.8	43/43	leaf	0.25 | 0.5 | 0.167
defaultAssetGroup	Default asset group (inferred)	enum		asset_groups/crowd_…, asset_groups/crowd_…, asset_groups/crowd_…	43/43	leaf	asset_groups/crowd_package/hot/config/config.as… | asset_groups/crowd_package/mild/config/config.a… | asset_groups/crowd_package/middle_eastern/confi…

tracks.Track_N.TrackHighlights_N

43 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_TrackHighlight_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1..2	43/43		2 | 1
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			43/43	leaf	track_highlights
fake	Fake (inferred)	int		0	43/43		0

tracks.Track_N.TrackHighlights_N.TrackHighlight_N

46 rows, _instancecount_ 1-2.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			46/46	leaf	lake | clark_chicane | 130r
ui_broadcast_icon	Ui broadcast icon (inferred)	string			46/46	leaf	#overrides.broadcast_ui_generic.icons.track_hig…
ui_title	Ui title (inferred)	string			46/46	leaf	Albert Park Lake | Clark Chicane | lng_track_highlight_04

tracks.Track_N.TrackStats_N

43 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_SingleTrackStat_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	6	43/43		6
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			43/43	leaf	stats

tracks.Track_N.TrackStats_N.SingleTrackStat_N

258 rows, _instancecount_ 6.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			258/258	leaf	DifficultyNew | NumLaps | Corners
display_name	Localisation key of the name shown in menus (inferred)	string			258/258	leaf	lng_stat_difficulty_new | lng_stat_num_laps | lng_stat_corners
texture	Texture (inferred)	string			258/258	leaf	overrides.icons.stats.recommended_diff | overrides.icons.stats.laps_completed | overrides.icons.stats.perfect_corner
value	Value (inferred)	string			258/258	leaf	lng_stat_aus_difficulty | lng_stat_aus_num_laps | lng_stat_aus_corners

tracks.Track_N.TrackTextures_N

43 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_TrackTexture_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	8	43/43		8
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			43/43	leaf	textures
fake	Fake (inferred)	int		0	43/43		0

tracks.Track_N.TrackTextures_N.TrackTexture_N

344 rows, _instancecount_ 8.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			344/344	leaf	flag_circle | broadcast_ui_track | tracks_bg
value	Value (inferred)	string			344/344	leaf	overrides.tracks.flags_circle.melbourne | overrides.broadcast_ui_generic.track.melbourne | overrides.fe_world.tracks.melbourne

tracks.Track_N.TrackVideo_N

43 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			43/43	leaf	broadcast_video
value	Value (inferred)	string			43/43	leaf	track_map/melbourne.bk2 | track_map/suzuka.bk2 | track_map/shanghai.bk2

tracks.Track_N.Tyres_N

42 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			42/42	leaf	tyres
_track_grip_modifiers_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	1/42		1
tyre_grip_modifier	Tyre grip modifier (inferred)	float	multiplier	0.9474..1	42/42	leaf	0.975 | 0.981 | 0.963
tyre_wear_ui_str	Tyre wear ui str (inferred)	enum		lng_medium	42/42	leaf	lng_medium

tracks.Track_N.Tyres_N.track_grip_modifiers_N

1 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			1/1	leaf	track_grip_modifiers
f1_2023_story_vehicle_package.tyre_grip_modifier	F1 2023 story vehicle package tyre grip modifier (inferred)	float	multiplier	0.988	1/1	leaf	0.988
f1_2023_vehicle_package.tyre_grip_modifier	F1 2023 vehicle package tyre grip modifier (inferred)	float	multiplier	0.988	1/1	leaf	0.988
f1_2024_equal_performance_vehicle_package.tyre_grip_modifier	F1 2024 equal performance vehicle package tyre grip modifier (inferred)	float	multiplier	0.988	1/1	leaf	0.988
f1_2024_story_vehicle_package.tyre_grip_modifier	F1 2024 story vehicle package tyre grip modifier (inferred)	float	multiplier	0.988	1/1	leaf	0.988
f1_2024_vehicle_package.tyre_grip_modifier	F1 2024 vehicle package tyre grip modifier (inferred)	float	multiplier	0.988	1/1	leaf	0.988
f1_2024_world_vehicle_package.tyre_grip_modifier	F1 2024 world vehicle package tyre grip modifier (inferred)	float	multiplier	0.988	1/1	leaf	0.988
f1_2025_story_vehicle_package.tyre_grip_modifier	F1 2025 story vehicle package tyre grip modifier (inferred)	float	multiplier	0.988	1/1	leaf	0.988
f1_safetycar_package.tyre_grip_modifier	F1 safetycar package tyre grip modifier (inferred)	float	multiplier	0.988	1/1	leaf	0.988
f2_2022_story_vehicle_package.tyre_grip_modifier	F2 2022 story vehicle package tyre grip modifier (inferred)	float	multiplier	0.988	1/1	leaf	0.988
f2_2022_vehicle_package.tyre_grip_modifier	F2 2022 vehicle package tyre grip modifier (inferred)	float	multiplier	0.988	1/1	leaf	0.988
f2_2023_vehicle_package.tyre_grip_modifier	F2 2023 vehicle package tyre grip modifier (inferred)	float	multiplier	0.988	1/1	leaf	0.988
f2_2024_vehicle_package.tyre_grip_modifier	F2 2024 vehicle package tyre grip modifier (inferred)	float	multiplier	0.988	1/1	leaf	0.988
f2_2025_vehicle_package.tyre_grip_modifier	F2 2025 vehicle package tyre grip modifier (inferred)	float	multiplier	0.988	1/1	leaf	0.988
f2_2026_vehicle_package.tyre_grip_modifier	F2 2026 vehicle package tyre grip modifier (inferred)	float	multiplier	0.988	1/1	leaf	0.988

tracks.Track_N.Weather_N

43 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			43/43	leaf	weather
clear	Clear (inferred)	float		0.17..0.86	43/43	leaf	0.33 | 0.25 | 0.27
cloudy	Cloudy (inferred)	float		0.1..0.43	43/43	leaf	0.38 | 0.4 | 0.29
heavy_rain	Heavy rain (inferred)	float		0..0.09	43/43	leaf	0.04 | 0 | 0.08
light_rain	Light rain (inferred)	float		0..0.11	43/43	leaf	0.08 | 0.07 | 0.09
overcast	Overcast (inferred)	float		0.02..0.31	43/43	leaf	0.17 | 0.24 | 0.31
states	States (inferred)	int		2..6	43/43	leaf	3 | 5 | 2
temperature_max	Temperature max (inferred)	int		19..33	43/43	leaf	23 | 19 | 32
temperature_min	Temperature min (inferred)	int		10..25	43/43	leaf	15 | 12 | 14

tracks.attributes.Continent_N

3 rows, _instancecount_ 3.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			3/3	leaf	Europe | Americas | AsiaAndOceania
name	Name (inferred)	string			3/3	leaf	lng_europe | lng_americas | lng_asia_oceania

tracks.attributes.PerformanceType_N

3 rows, _instancecount_ 3.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			3/3	leaf	HighDownforce | Balanced | HighTopSpeed
name	Name (inferred)	string			3/3	leaf	lng_performance_high_downforce | lng_performance_balanced | lng_performance_top_speed

tracks.attributes.TyreWear_N

3 rows, _instancecount_ 3.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			3/3	leaf	Low | Medium | High
name	Name (inferred)	string			3/3	leaf	lng_tyre_wear_low | lng_tyre_wear_medium | lng_tyre_wear_high

tracks.ibl_probes.IblProbes_N

1 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			1/1	leaf	F1/F2
game_setup_modes	Labels of rows in game_setup.game_setup_modes.game_setup_mode_N (inferred)	list			1/1	leaf	f1,classic,f1_26,f1_generic_26,f2,f1_generic,f1…

tracks.track_resource.TrackResource_N

4 rows, _instancecount_ 4.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			4/4	leaf	2019 | ai_test_track | dummy
aoBakeAssetGroup	Asset-group path template; [FILENAME] is replaced with the track's file name: ao bake asset group (proven)	string			4/4	leaf	asset_groups/environment_package/tracks/[FILENA… |
crowdEri	Resource id template of an archive entry (proven)	string			4/4	leaf	eaid://environment_package/tracks/[FILENAME]/cr… | | eaid://environment_package/tracks/[BASETRACK]/c…
ddgiAssetGroup	Asset-group path template; [FILENAME] is replaced with the track's file name: ddgi asset group (proven)	string			4/4	leaf	asset_groups/environment_package/tracks/[FILENA… | | asset_groups/[FOLDER][FILENAME]/probes/config.d…
iblAssetGroupsRoot	Asset-group path template; [FILENAME] is replaced with the track's file name: ibl asset groups root (proven)	string			4/4	leaf	asset_groups/environment_package/tracks/[FILENA… | | asset_groups/[FOLDER][FILENAME]/probes/
iblKey	Ibl key (inferred)	string			4/4	leaf	key_2019.assetgroup | | key.assetgroup
iblProbes	List of ibl probes (inferred)	list			4/4	leaf	F1/F2 |
iblRoot	Ibl root (inferred)	string			4/4	leaf	environment_package/tracks/[FILENAME]/probes | | [FOLDER][FILENAME]/probes
iblSuffix	Ibl suffix (inferred)	string			4/4	leaf	_2019 |
lightListAssetGroup	Asset-group path template; [FILENAME] is replaced with the track's file name: light list asset group (proven)	string			4/4	leaf	asset_groups/environment_package/tracks/[FILENA… |
loadAIData	Flag: load AI data (inferred)	bool		False, True	4/4	leaf	True | False
radianceBakeAssetGroup	Asset-group path template; [FILENAME] is replaced with the track's file name: radiance bake asset group (proven)	string			4/4	leaf	asset_groups/environment_package/tracks/[FILENA… |
trackMapAssetGroup	Asset-group path template; [FILENAME] is replaced with the track's file name: track map asset group (proven)	string			4/4	leaf	asset_groups/ui_package/textures/track_maps/[FI… |
worldAssetGroup	Asset-group path template; [FILENAME] is replaced with the track's file name: world asset group (proven)	string			4/4	leaf	asset_groups/environment_package/tracks/[FILENA… | asset_groups/environment_package/test_tracks/[F… | asset_groups/[FOLDER][FILENAME]/wep/[FILENAME].…
worldEri	Resource id template of an archive entry (proven)	string			4/4	leaf	eaid://environment_package/tracks/[FILENAME]/we… | eaid://environment_package/test_tracks/[FILENAM… | eaid://[FOLDER][FILENAME]/wep/[FILENAME].wep

Track data sets

track_data.game_setup.TrackDataSet_N

20 rows, _instancecount_ 20.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_TrackData_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	4..31	20/20		31 | 21 | 4
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			20/20	leaf	f1 | f2 | classic
game_setup_modes	Game setup modes the dataset applies to (inferred)	list			20/20	leaf	| classic | f1,f1_generic,f1_world,f1_elimination
is_invalid	Flag: is invalid (inferred)	bool		False, True	20/20	leaf	True | False
parent_data_set	Dataset to read when this one has no TrackData rows (proven)	id			20/20	leaf	short | f1 |
seasons	Seasons the dataset applies to (inferred)	list			20/20	leaf	| season_2023,season_2024,season_2025 | season_2023
stat_id	Numeric id of the row, unique in its table; the game keys runtime maps on it (proven)	int		0..16	20/20	leaf	0 | 1 | 2
weekend_formats	Labels of rows in game_setup.game_setup_modes.game_setup_mode_N.weekend_options_N.weekend_structure_N (inferred)	list			20/20	leaf	| default,sprint | default

track_data.game_setup.TrackDataSet_N.TrackData_N

552 rows, _instancecount_ 4-31.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_MandatoryPitstopsOverride_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	1/552		1
_TrackAudioData_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	62/552		1
_TrackAuthenticWeekendData_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	74/552		1
_TrackFuelSettings_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	411/552		1
_TrackGeneralData_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	411/552		1
_TrackNameData_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	118/552		1
_TrackPitData_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	66/552		1
_TrackSafetyCarData_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	170/552		1
_TrackStats_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	66/552		1
_TrackTextures_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	124/552		1
_TyreData_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	528/552		1
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			552/552	leaf	bahrain | jeddah | melbourne
track	Track id of this row (a tracks.Track_N instanceName) (proven)	id			552/552	leaf	bahrain | jeddah | melbourne

track_data.game_setup.TrackDataSet_N.TrackData_N.MandatoryPitstopsOverride_N

1 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			1/1	leaf	MandatoryPitstopsOverride
required_pitstops	Required pitstops (inferred)	int		2	1/1	leaf	2
session	Session (inferred)	id			1/1	leaf	race_2

track_data.game_setup.TrackDataSet_N.TrackData_N.TrackAudioData_N

62 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_TrackAudioCommentatorOverride_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	31/62		1
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			62/62	leaf	TrackAudioData

track_data.game_setup.TrackDataSet_N.TrackData_N.TrackAudioData_N.TrackAudioCommentatorOverride_N

31 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			31/31	leaf	TrackAudioCommentatorOverride
fallback_override_commentator_name	Fallback override commentator name (inferred)	string			31/31	leaf	commentator2
mapped_folder_name	Mapped folder name (inferred)	string			31/31	leaf	commentator2
override_commentator_name	Override commentator name (inferred)	string			31/31	leaf	commentator2 | commentator2_alt1

track_data.game_setup.TrackDataSet_N.TrackData_N.TrackAuthenticWeekendData_N

74 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			74/74	leaf	TrackAuthenticWeekendData
weekend_format	Label of a row in entrants.nationality.nationality_N (inferred)	id			74/74	leaf	default | sprint

track_data.game_setup.TrackDataSet_N.TrackData_N.TrackFuelSettings_N

411 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
Qualifying.full	Qualifying full (inferred)	float		3..15.4	411/411	path	6.5 | 7 | 6.1
Qualifying.one_shot	Qualifying one shot (inferred)	float		2..15.4	411/411	path	6.5 | 7 | 6.1
Qualifying.short	Qualifying short (inferred)	float		3..15.4	411/411	path	6.5 | 7 | 6.1
_RaceFuelSettings_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1..2	411/411		1 | 2
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			411/411	leaf	TrackFuelSettings

track_data.game_setup.TrackDataSet_N.TrackData_N.TrackFuelSettings_N.RaceFuelSettings_N

762 rows, _instancecount_ 1-2.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			762/762	leaf	Race1 | Race2 | RaceFuelSettings
laps_1	Laps (inferred)	float		2..5.9	762/762	leaf	3.000000 | 3 | 4
laps_10	Laps (inferred)	float		0..32.3	762/762	leaf	30.4 | 29 | 31.6
laps_15	Laps (inferred)	float		0..32.3	762/762	leaf	30.4 | 29 | 31.6
laps_2	Laps (inferred)	float		2..9	762/762	leaf	5.2 | 6 | 5.15
laps_20	Laps (inferred)	float		0..42	762/762	leaf	30.4 | 29 | 31.6
laps_3	Laps (inferred)	float		4..16.2	762/762	leaf	10.2 | 11 | 9.7
laps_5	Laps (inferred)	float		6.1..22.3	762/762	leaf	13.9 | 15 | 13.2
laps_9	Laps (inferred)	float		9..32.7	762/762	leaf	30.3 | 31 | 30.6
percent_100	Percent (inferred)	float		24.6..110	762/762	leaf	110 | 95.4 | 106.1
percent_25	Percent (inferred)	float		8.6..32.7	762/762	leaf	30.3 | 31 | 30.6
percent_35	Percent (inferred)	float		0..43.3	762/762	leaf	41.3 | 41 | 39.3
percent_50	Percent (inferred)	float		13.6..59.1	762/762	leaf	57.8 | 55 | 56.1

track_data.game_setup.TrackDataSet_N.TrackData_N.TrackGeneralData_N

411 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			411/411	leaf	TrackGeneralData
fuel_burn_per_lap	Fuel burn per lap (inferred)	float		0.84..3.35	411/411	leaf	1.83 | 2 | 1.74
number_of_laps	Number of laps (inferred)	t7	count		411/411	leaf	57, 57, 57 | 50,50,50 | 58, 58, 58
practiceCrowdPercentage	Practice crowd percentage (inferred)	float	%	0.454..0.6	411/411	leaf	0.600000 | 0.454000 | 0.6
qualifyingCrowdPercentage	Qualifying crowd percentage (inferred)	float	%	0.6..0.8	411/411	leaf	0.800000 | 0.600000 | 0.8
raceCrowdPercentage	Race crowd percentage (inferred)	float	%	1	411/411	leaf	1.0
trophyType	Trophy type (inferred)	string			411/411	leaf	trophy_closed_a | trophy_open_e | trophy_open_c
use_split_qualifying	Flag: use split qualifying (inferred)	bool		False, True	411/411	leaf	False | True
weekend_day	Weekend day (inferred)	int		1..30	411/411	leaf	2 | 9 | 24
weekend_month	Weekend month (inferred)	int		2..12	411/411	leaf	3 | 4 | 5
weekend_year	Weekend year (inferred)	int		2015..2026	411/411	leaf	2024 | 2015 | 2026

track_data.game_setup.TrackDataSet_N.TrackData_N.TrackNameData_N

118 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			118/118	leaf	TrackNameData
acronym_name	Acronym name (inferred)	string			118/118	leaf	lng_track_bhr_tla | lng_track_sau_tla | lng_track_aus_tla
circuit	Circuit (inferred)	string			118/118	leaf	lng_track_bhr_subtitle | lng_track_sau_subtitle | lng_track_aus_subtitle
city_name	City name (inferred)	string			118/118	leaf	lng_track_bhr_city_name | lng_track_sau_city_name | lng_track_aus_city_name
city_name_short	City name short (inferred)	string			118/118	leaf	lng_track_bhr_city_name | lng_track_sau_city_name | lng_track_aus_city_name
country_name	Country name (inferred)	string			118/118	leaf	lng_track_bhr_title | lng_track_sau_title | lng_track_aus_title
file_name	Label of a row in tracks.Track_N (inferred)	string			118/118	leaf	bahrain | jeddah | melbourne
gp_long_name	Gp long name (inferred)	string			118/118	leaf	lng_track_bhr_gp_title | lng_track_sau_gp_title | lng_track_aus_gp_title
gp_long_name_multiline	Gp long name multiline (inferred)	string			118/118	leaf	lng_track_bhr_gp_title_multiline | lng_track_sau_gp_title_multiline | lng_track_aus_gp_title_multiline
gp_long_name_multiline_previous	Gp long name multiline previous (inferred)	string			118/118	leaf	lng_track_bhr_gp_title_multiline_previous | lng_track_sau_gp_title_multiline_previous | lng_track_aus_gp_title_multiline_previous
gp_short_name	Gp short name (inferred)	string			118/118	leaf	lng_track_bhr_gp_title_short | lng_track_sau_gp_title_short | lng_track_aus_gp_title_short
reverse_track_trophy_name	Reverse track trophy name (inferred)	string			118/118	leaf	| lng_track_gbr_title | lng_track_aut_title
title	Title (inferred)	string			118/118	leaf	lng_track_bhr_title | lng_track_sau_title | lng_track_aus_title

track_data.game_setup.TrackDataSet_N.TrackData_N.TrackPitData_N

66 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			66/66	leaf	TrackPitData
pitSpeedLimit	Pit speed limit (inferred)	float		60..80	66/66	leaf	80.0 | 80 | 60
pitStopTime_Dry	Pit stop time dry (inferred)	float		19.3..39	66/66	leaf	25 | 25.5 | 28
pitStopTime_Wet	Pit stop time wet (inferred)	float		20..44	66/66	leaf	30 | 30.5 | 28

track_data.game_setup.TrackDataSet_N.TrackData_N.TrackSafetyCarData_N

170 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			170/170	leaf	TrackSafetyCarData
safety_car_vehicle	Label of a row in entrants.vehicles.vehicle_N (inferred)	id			170/170	leaf	safety_car_aml | safety_car_mercedes

track_data.game_setup.TrackDataSet_N.TrackData_N.TrackStats_N

66 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_SingleTrackStat_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	2	66/66		2
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			66/66	leaf	TrackStats

track_data.game_setup.TrackDataSet_N.TrackData_N.TrackStats_N.SingleTrackStat_N

132 rows, _instancecount_ 2.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			132/132	leaf	LapRecord | LapRecordHolder
display_name	Localisation key of the name shown in menus (inferred)	string			132/132	leaf	lng_stat_lap_record | lng_stat_lap_record_holder
texture	Texture (inferred)	string			132/132	leaf	overrides.icons.stats.objectives_exceeded | overrides.icons.stats.lap_record_holder
value	Value (inferred)	string			132/132	leaf	lng_stat_bhr_lap_record | lng_track_bhr_lap_record_holder | lng_stat_sau_lap_record

track_data.game_setup.TrackDataSet_N.TrackData_N.TrackTextures_N

124 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			124/124	leaf	TrackTextures
broadcast_ui_track	Broadcast ui track (inferred)	string			124/124	leaf	overrides.broadcast_ui_generic.track.bahrain | overrides.broadcast_ui_generic.track.jeddah | overrides.broadcast_ui_generic.track.melbourne
flag_circle	Flag circle (inferred)	string			124/124	leaf	overrides.tracks.flags_circle.bahrain | overrides.tracks.flags_circle.jeddah | overrides.tracks.flags_circle.melbourne
flag_rectangle	Flag rectangle (inferred)	string	degrees		124/124	leaf	overrides.tracks.flags_rectangle.bahrain | overrides.tracks.flags_rectangle.jeddah | overrides.tracks.flags_rectangle.melbourne
flag_rectangle_small	Flag rectangle small (inferred)	string			124/124	leaf	overrides.tracks.flags_rectangle_small.bahrain | overrides.tracks.flags_rectangle_small.jeddah | overrides.tracks.flags_rectangle_small.melbourne
tracks_bg	Tracks bg (inferred)	string			124/124	leaf	overrides.fe_world.tracks.bahrain | overrides.fe_world.tracks.jeddah | overrides.fe_world.tracks.melbourne
tracks_bg_large	Tracks bg large (inferred)	string			124/124	leaf	overrides.fe_world.tracks_bg.bahrain | overrides.fe_world.tracks_bg.jeddah | overrides.fe_world.tracks_bg.melbourne
tracks_spline	Tracks spline (inferred)	string			124/124	leaf	overrides.fe_world.tracks_spline.bahrain | overrides.fe_world.tracks_spline.jeddah | overrides.fe_world.tracks_spline.melbourne
tracks_spline_large	Tracks spline large (inferred)	string			124/124	leaf	overrides.fe_world.tracks_spline_large.bahrain | overrides.fe_world.tracks_spline_large.jeddah | overrides.fe_world.tracks_spline_large.melbourne

track_data.game_setup.TrackDataSet_N.TrackData_N.TyreData_N

528 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_MandatoryPitstopsOverride_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	3/528		1
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			528/528	leaf	TyreData
balanced_preset	Label of a row in tyres.allocation_tyre_presets.TyresPerSessionPreset_N (inferred)	id			528/528	leaf	balanced | balanced_monaco |
chance_of_using_harder_preset	Chance of using harder preset (inferred)	float		5..72	528/528	leaf	35.000000 | 30.000000 | 20.000000
chance_of_using_softer_preset	Chance of using softer preset (inferred)	float		5..60	528/528	leaf	35.000000 | 25.000000 | 40.000000
compound_harder	Label of a row in tyres.visual_compounds.VisualCompound_N (inferred)	id			528/528	leaf	Medium | Soft | SuperSoft
compound_medium	Label of a row in tyres.visual_compounds.VisualCompound_N (inferred)	id			528/528	leaf	Soft | SuperSoft | UltraSoft
compound_softer	Label of a row in tyres.physical_compounds.PhysicalCompound_N (inferred)	id			528/528	leaf	SuperSoft | UltraSoft | HyperSoft
enforce_pitstops_in_wet_weather	Flag: enforce pitstops in wet weather (inferred)	bool		False, True	528/528	leaf	False | True
harder_preset	Label of a row in tyres.allocation_tyre_presets.TyresPerSessionPreset_N (inferred)	id			528/528	leaf	harder | harder_monaco |
mandatory_tyres	Label of a row in tyres.mandatory_tyre_presets.TyresPerSessionPreset_N (inferred)	id			528/528	leaf	TyresPerSessionPreset | | TyresPerSessionSprintPreset
number_of_intermediate_tyres	Number of intermediate tyres (inferred)	int	count	4	528/528	leaf	4
number_of_wet_tyres	Number of wet tyres (inferred)	int	count	3..4	528/528	leaf	3 | 4
softer_preset	Label of a row in tyres.allocation_tyre_presets.TyresPerSessionPreset_N (inferred)	id			528/528	leaf	softer | softer_monaco |

track_data.game_setup.TrackDataSet_N.TrackData_N.TyreData_N.MandatoryPitstopsOverride_N

3 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			3/3	leaf	MandatoryPitstopsOverride
required_pitstops	Required pitstops (inferred)	int		2	3/3	leaf	2
session	Session (inferred)	id			3/3	leaf	race | race_2

track_data.restricted_tracks.restricted_tracks_N

1 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			1/1	leaf	26_tracks
game_setup_modes	List of game setup modes (inferred)	list			1/1	leaf	f2
is_invalid	Flag: is invalid (inferred)	bool		False	1/1	leaf	False
seasons	Labels of rows in game_setup.seasons.season_N (inferred)	list			1/1	leaf	season_2023,season_2024,season_2025
tracks	List of tracks (inferred)	list			1/1	leaf	madrid
weekend_formats	Labels of rows in game_setup.game_setup_modes.game_setup_mode_N.weekend_options_N.weekend_structure_N (inferred)	list			1/1	leaf	default,sprint

track_data.sorted_track_order.sorted_track_order_N

2 rows, _instancecount_ 2.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_TrackRef_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	38	2/2		38
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			2/2	leaf	default_sorted_track_order | default_sorted_track_order_dlc

track_data.sorted_track_order.sorted_track_order_N.TrackRef_N

76 rows, _instancecount_ 38.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			76/76	leaf	melbourne | texas_nat | suzuka_east
track	Label of a row in tracks.Track_N (inferred)	id			76/76	leaf	melbourne | texas_nat | suzuka_east

track_data.track_layers.TrackLayer_N

11 rows, _instancecount_ 11.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			11/11	leaf	f1 | f2 | myteam
game_setup_modes	Labels of rows in game_setup.game_setup_modes.game_setup_mode_N (inferred)	list			11/11	leaf	f1 | f2 |
is_invalid	Flag: is invalid (inferred)	bool		False	11/11	leaf	False
seasons	Labels of rows in game_setup.seasons.season_N (inferred)	list			11/11	leaf	season_2023,season_2024,season_2025 | season_2024,season_2025 | season_2023,season_2024,season_2025,season_2026
statId	Numeric id of the row, unique in its table (proven)	int		0..13	11/11	leaf	0 | 1 | 2
weekend_formats	Labels of rows in game_setup.game_setup_modes.game_setup_mode_N.weekend_options_N.weekend_structure_N (inferred)	list			11/11	leaf	default,sprint
worldAssetGroup	World asset-group path template; [FILENAME] is the track's file name (proven)	string			11/11	leaf	asset_groups/environment_package/tracks/[FILENA…
worldEri	World resource id template (proven)	string			11/11	leaf	eaid://environment_package/tracks/[FILENAME]/we…

Entrants

entrants.animation.driver_animation_scene_setups.driver_animation_scene_setup_N

7 rows, _instancecount_ 7.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			7/7	leaf	fe | incar | cinematic
body_logos_scene_name	Body logos scene name (inferred)	string			7/7	leaf	driver_body_logos | incar_driver_body_logos |
body_scene_name	Body scene name (inferred)	string			7/7	leaf	fe_driver_body | [PREFIX]_incar_driver_body_[STEERINGANIM] | [PREFIX]_cinematic_driver_body
bottom_scene_name	Bottom scene name (inferred)	string			7/7	leaf	| fe_driver_bottom
eyewear_scene_name	Eyewear scene name (inferred)	string			7/7	leaf	| fe_driver_eyewear
feet_scene_name	Feet scene name (inferred)	string			7/7	leaf	driver_feet | incar_driver_feet
glove_logos_scene_name	Glove logos scene name (inferred)	string			7/7	leaf	driver_glove_logos | incar_driver_glove_logos |
gloves_scene_name	Gloves scene name (inferred)	string			7/7	leaf	driver_gloves | incar_driver_gloves |
head_scene_name	Head scene name (inferred)	string			7/7	leaf	fe_driver_head | incar_driver_head | [PREFIX]_cinematic_driver_head
headphone_scene_name	Headphone scene name (inferred)	string			7/7	leaf	| fe_driver_headphones
helmet_scene_name	Helmet scene name (inferred)	string			7/7	leaf	driver_helmet | incar_driver_helmet |
requires_vehicle	Flag: requires vehicle (inferred)	bool		False, True	7/7	leaf	False | True
stat_id	Numeric id of the row, unique in its table; the game keys runtime maps on it (proven)	int		0..6	7/7	leaf	0 | 1 | 2
top_scene_name	Top scene name (inferred)	string			7/7	leaf	| fe_driver_top
use_female_head_on_male_rig	Flag: use female head on male rig (inferred)	bool		False, True	7/7	leaf	True | False

entrants.animation.driver_animation_sets.driver_animation_set_N

15 rows, _instancecount_ 15.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			15/15	leaf	f1_generic | custom_drivers | f1_myteam
cinematics_asset_group	Cinematics asset group (inferred)	string			15/15	leaf	[ANIMATION_PACKAGE]/scenes/cinematics/2025 | | [ANIMATION_PACKAGE]/scenes/cinematics/2022
crew_podium_material	Crew podium material (inferred)	string			15/15	leaf	default | | f2
frontend_asset_group	Frontend asset group (inferred)	string			15/15	leaf	[ANIMATION_PACKAGE]/scenes/frontend/drivers/fro…
in_car_asset_group	In car asset group (inferred)	string			15/15	leaf	[ANIMATION_PACKAGE]/scenes/incardriver/2025/inc… | | [ANIMATION_PACKAGE]/scenes/incardriver/2022/inc…
lead_engineer_asset_group	Lead engineer asset group (inferred)	string			15/15	leaf	asset_groups/[ANIMATION_PACKAGE]/scenes/careerh…
scene_prefix	Label of a row in track_data.game_setup.TrackDataSet_N (inferred)	string			15/15	leaf	f1 | custom | f2
show_team_logo	Flag: show team logo (inferred)	bool		False, True	15/15	leaf	False | True
stat_id	Numeric id of the row, unique in its table; the game keys runtime maps on it (proven)	int		3..24	15/15	leaf	3 | 4 | 6
team_livery_format	Team livery format (inferred)	string			15/15	leaf	[LIVERY] | default | [YEAR]-[LIVERY]
year_prefix	Year prefix (inferred)	string			15/15	leaf	2022 | invalid_year | 2024

entrants.animation.driver_body_types.driver_body_type_N

2 rows, _instancecount_ 2.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			2/2	leaf	generic_male | generic_female
body_model	Body model (inferred)	string			2/2	leaf	eaid://[CHARACTER_PACKAGE]/condition_scene/idf/…
casual_body_model	Casual body model (inferred)	string			2/2	leaf	eaid://[CHARACTER_PACKAGE]/body_template/male/i… | eaid://[CHARACTER_PACKAGE]/body_template/female…
first_person_body_model	First person body model (inferred)	string			2/2	leaf	eaid://[CHARACTER_PACKAGE]/body_template/male/i… | eaid://[CHARACTER_PACKAGE]/body_template/female…
gender_path_value	Gender path value (inferred)	string			2/2	leaf	male | female
glove_model	Glove model (inferred)	string			2/2	leaf	eaid://[CHARACTER_PACKAGE]/condition_scene/idf/…
scale_factor	Scale factor (inferred)	float	multiplier	0.9925..1	2/2	leaf	1 | 0.9925
stat_id	Numeric id of the row, unique in its table; the game keys runtime maps on it (proven)	int		0..1	2/2	leaf	0 | 1

entrants.animation.driver_heads.asset_group_path_formats.asset_group_path_format_N

4 rows, _instancecount_ 4.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			4/4	leaf	driver_head_format | face_morph_format | driver_head_format_female_male_rig
format	Format (inferred)	string			4/4	leaf	asset_groups/[ANIMATION_PACKAGE]/scenes/cinemat…

entrants.animation.driver_heads.driver_head_N

208 rows, _instancecount_ 208.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			208/208	leaf	michael_schumacher | jarno_opmeer | david_tonizza
asset_group_path_format	Label of a row in entrants.animation.driver_heads.asset_group_path_formats.asset_group_path_format_N (inferred)	id			208/208	leaf	driver_head_format
asset_group_path_format_female_on_male_rig	Label of a row in entrants.animation.driver_heads.asset_group_path_formats.asset_group_path_format_N (inferred)	id			208/208	leaf	driver_head_format_female_male_rig
available_for_customisation	Flag: available for customisation (inferred)	bool		False, True	208/208	leaf	True | False
body_type	Label of a row in entrants.animation.driver_body_types.driver_body_type_N (inferred)	id			208/208	leaf	generic_male | generic_female
esports_name	Esports name (inferred)	string			208/208	leaf	lng_real_driver_michael_schumacher | lng_real_driver_jarno_opmeer | lng_real_driver_david_tonizza
face_morph_asset_group_path_format	Label of a row in entrants.animation.driver_heads.asset_group_path_formats.asset_group_path_format_N (inferred)	id			208/208	leaf	face_morph_format
face_morph_asset_group_path_format_female_on_male_rig	Label of a row in entrants.animation.driver_heads.asset_group_path_formats.asset_group_path_format_N (inferred)	id			208/208	leaf	face_morph_format_female_male_rig
has_morph_data	Flag: has morph data (inferred)	bool		False, True	208/208	leaf	True | False
model_path	Model path (inferred)	string			208/208	leaf	eaid://[CHARACTER_PACKAGE]/heads/male_driver/mi… | eaid://[CHARACTER_PACKAGE]/heads/male_esports/j… | eaid://[CHARACTER_PACKAGE]/heads/male_esports/d…
model_path_female_rig	Model path female rig (inferred)	string			208/208	leaf	| eaid://[CHARACTER_PACKAGE]/heads/female_driver/… | eaid://[CHARACTER_PACKAGE]/heads/female_f1/call…
stat_id	Numeric id of the row, unique in its table; the game keys runtime maps on it (proven)	int		45..264	208/208	leaf	113 | 133 | 114

entrants.audio_names.audio_name_N

475 rows, _instancecount_ 475.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			475/475	leaf	DefaultName | Name01 | Name02
audio_id	Audio id (inferred)	int		1..727	475/475	leaf	200 | 201 | 202
gender	Gender (inferred)	enum		, Female, Male	475/475	leaf	| Male | Female
language_string	Language string (inferred)	string			475/475	leaf	lng_none | lng_customdriver_name_01 | lng_customdriver_name_02
preview_message	Preview message (inferred)	string			475/475	leaf	| CustomNamePreview01 | CustomNamePreview02
selection_type	Selection type (inferred)	enum		custom_high_priority, custom_standard, reserved	475/475	leaf	custom_high_priority | custom_standard | reserved
stat_id	Numeric id of the row, unique in its table; the game keys runtime maps on it (proven)	int		0..476	475/475	leaf	0 | 1 | 2

entrants.badges.badge_N

25 rows, _instancecount_ 25.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			25/25	leaf	default_badge | badge | arron_barnes
background_colour	Colour as a signed 32-bit ARGB integer (inferred)	t11	ARGB	-16777216..-1	25/25	leaf	-16777216 | -855310 | -1
badge_background	Label of a row in customisation.custom_player_badges.backgrounds.BadgeBackground_N (inferred)	id			25/25	leaf	BadgeBackground19 | BadgeBackground01 | BadgeBackground02
badge_emblem	Label of a row in unlockable_content.unlockable_items.unlockable_item_list_N.folder_N.unlockable_badge_emblem_N (inferred)	id			25/25	leaf	BadgeEmblem01 | BadgeEmblem02 | BadgeEmblem03
stat_id	Numeric id of the row, unique in its table; the game keys runtime maps on it (proven)	int		0..24	25/25	leaf	0 | 1 | 2

entrants.characters.character_N

105 rows, _instancecount_ 105.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			105/105	leaf	emma_jenkins | carl | marc_priestley
first_name	First name (inferred)	string			105/105	leaf	lng_emma | lng_carl_name | lng_jeff_name
full_name	Full name (inferred)	string			105/105	leaf	lng_emma_name | lng_carl_name | lng_jeff_name
head	Label of a row in entrants.animation.driver_heads.driver_head_N (inferred)	id			105/105	leaf	| devon_butler | casper_akkerman
job_role	Job role (inferred)	string			105/105	leaf	lng_emma_job | lng_rnd_head_job | lng_race_engineer
last_name	Last name (inferred)	string			105/105	leaf	lng_jenkins | lng_dash | lng_wolff
stat_id	Numeric id of the row, unique in its table; the game keys runtime maps on it (proven)	int		0..104	105/105	leaf	0 | 1 | 2

entrants.driver_customisations.folder_N

2 rows, _instancecount_ 2.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			2/2	leaf	ai_driver_customisations | official_driver_customisations
_preloaded_driver_customisation_properties_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	28..211	2/2		28 | 211

entrants.driver_customisations.folder_N.preloaded_driver_customisation_properties_N

239 rows, _instancecount_ 28-211.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			239/239	leaf	official_driver_customisation_for_driver_pool | arron_barnes | martin_giles
available	Availability flag; every team and vehicle row ships False and the game sets it at startup (proven)	bool		False	239/239	leaf	False
badge	Badge (inferred)	id			239/239	leaf	Basic Badge | Badge Slashes | Badge Vines
car_livery	Label of a row in unlockable_content.unlockable_items.unlockable_item_list_N.folder_N.unlockable_livery_N (inferred)	id			239/239		livery_titlesponsor_livery23 | livery_titlesponsor_livery15 | livery_titlesponsor_livery10
gloves	Label of a row in customisation.custom_avatar.suits.Suit_N (inferred)	id			239/239	leaf	unassigned_livery18 | titlesponsor_livery15 | titlesponsor_livery10
helmet	Label of a row in customisation.custom_avatar.helmets.Helmet_N (inferred)	id			239/239	leaf	unassigned_livery18 | tier01_livery52 | tier02_livery01
linked_driver_stat_id	Label of a row in entrants.drivers.driver_N (inferred)	id			239/239	leaf	| jenson_button | david_coulthard
podium_emote	Label of a row in customisation.custom_avatar.podium_emotes.PodiumEmote_N (inferred)	id			239/239	leaf	Default | Emote01 | Emote02
pose	Label of a row in customisation.custom_avatar.poses.Pose_N (inferred)	id			239/239	leaf	Pose01 | Pose03 | Pose04
stat_id	Numeric id of the row, unique in its table; the game keys runtime maps on it (proven)	int		3..365	239/239	leaf	200 | 201 | 202
suit	Label of a row in customisation.custom_avatar.suits.Suit_N (inferred)	id			239/239	leaf	unassigned_livery18 | titlesponsor_livery15 | titlesponsor_livery10
victory_vo	Victory vo (inferred)	id			239/239	leaf

entrants.drivers.driver_N

197 rows, _instancecount_ 197.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			197/197	leaf	default_driver | carlos_sainz-jr | daniil_kvyat
audio_name	Label of a row in entrants.drivers.driver_N (inferred)	id			197/197	leaf	DefaultName | carlos_sainz_jr | daniil_kvyat
available	Availability flag; every team and vehicle row ships False and the game sets it at startup (proven)	bool		False, True	197/197	leaf	True | False
car_number	Car number (inferred)	int		2..99	197/197	leaf	99 | 55 | 26
chance_to_use_number_1	Chance to use number (inferred)	float		0..100	197/197	leaf	50.0 | 100 | 0
driver_characteristics.preferred_tracks	Labels of rows in tracks.Track_N (inferred)	list			197/197	path	| catalunya | sochi
driver_strategy.fastest_strategy_base_selection_chance	Driver strategy fastest strategy base selection chance (inferred)	float		0.15..0.85	197/197	path	0.3 | 0.4 | 0.8
driver_strategy.fuel_load_max_modifier	Driver strategy fuel load max modifier (inferred)	float	multiplier	0..0.05	197/197	path	0.05 | 0.0279 | 0.01985
driver_strategy.fuel_load_min_modifier	Driver strategy fuel load min modifier (inferred)	float	multiplier	0	197/197	path	0
driver_strategy.safety_car_pit_max_laps_early	Driver strategy safety car pit max laps early (inferred)	int		5	197/197	path	5
driver_strategy.safety_car_pit_min_lap	Driver strategy safety car pit min lap (inferred)	int		1	197/197	path	1
driver_strategy.safety_car_pit_wear_max	Driver strategy safety car pit wear max (inferred)	float		0.2..0.5	197/197	path	0.25 | 0.4 | 0.5
driver_strategy.safety_car_pit_wear_min	Driver strategy safety car pit wear min (inferred)	float		0.1..0.35	197/197	path	0.25 | 0.15 | 0.35
driver_strategy.slowest_strategy_selection_time_limit	Driver strategy slowest strategy selection time limit (inferred)	float		9..16	197/197	path	10 | 13 | 15
driver_strategy.weather_change_max_time_percentage	Driver strategy weather change max time percentage (inferred)	float	%	0.1..1	197/197	path	1 | 0.8 | 0.6
driver_strategy.weather_change_min_time_percentage	Driver strategy weather change min time percentage (inferred)	float	%	-0.25..0.6	197/197	path	-0.25 | 0.2 | 0
expression_label	Label of a row in entrants.drivers.driver_N (inferred)	id			197/197	leaf	| carlos_sainz-jr | daniel_ricciardo
f1_seasons_completed	F1 seasons completed (inferred)	int		0..22	197/197	leaf	0 | 11 | 4
first_name	First name (inferred)	string			197/197	leaf	default | lng_carlos | lng_daniil
full_name	Full name (inferred)	string			197/197	leaf	| lng_carlos_sainz | lng_daniil_kvyat
garage_slot_preference	Garage slot preference (inferred)	int		0..1	197/197	leaf	0 | 1
head	Label of a row in entrants.animation.driver_heads.driver_head_N (inferred)	id			197/197	leaf	female_ls779 | carlos_sainz-jr | daniil_kvyat
initials	Initials (inferred)	string			197/197	leaf	DEF | SAI | KVY
is_name_reversed	Flag: is name reversed (inferred)	bool		False, True	197/197	leaf	False | True
is_using_number_1_in_first_season	Flag: is using number 1 in first season (inferred)	bool		False	197/197	leaf	False
last_name	Last name (inferred)	string			197/197	leaf	default | lng_sainz | lng_kvyat
last_name_standard	Last name standard (inferred)	string			197/197	leaf	| lng_magnussen_standard | lng_stroll_standard
nationality	Label of a row in entrants.nationality.nationality_N (inferred)	id			197/197	leaf	default | spain | australia
stat_id	Numeric id of the row, unique in its table; the game keys runtime maps on it (proven)	int		0..254	197/197	leaf	254 | 0 | 1

entrants.drivers.seasonal_infos.seasonal_info_N

2 rows, _instancecount_ 2.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			2/2	leaf	max_verstappen | lando_norris
game_setup_modes	Labels of rows in game_setup.game_setup_modes.game_setup_mode_N (inferred)	list			2/2	leaf	f1 | f1_26
is_invalid	Flag: is invalid (inferred)	bool		False	2/2	leaf	False
is_using_number_1_in_first_season	Flag: is using number 1 in first season (inferred)	bool		True	2/2	leaf	True
preferred_car_number	Preferred car number (inferred)	int		3..255	2/2	leaf	3 | 255
seasons	Labels of rows in game_setup.seasons.season_N (inferred)	list			2/2	leaf	season_2023,season_2024,season_2025 | season_2026
stat_id	Numeric id of the row, unique in its table; the game keys runtime maps on it (proven)	int		9..54	2/2	leaf	9 | 54
weekend_formats	Labels of rows in entrants.nationality.nationality_N (inferred)	list			2/2	leaf	default

entrants.engines.Engine_N

26 rows, _instancecount_ 26.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			26/26	leaf	Renault | Ferrari | Mercedes
nationality	Label of a row in entrants.nationality.nationality_N (inferred)	id			26/26	leaf	france | italy | germany
revDialAnimEnd	Rev dial anim end (inferred)	float		0..10000	26/26	leaf	0.0 | 10000 | 9000
revDialEnd	Rev dial end (inferred)	float		0..8500	26/26	leaf	0.0 | 7600 | 8500
revDialStart	Rev dial start (inferred)	float		0	26/26	leaf	0.0
revFlashSpeed	Rev flash speed (inferred)	float		0.1	26/26	leaf	0.1
revLightWarning	Rev light warning (inferred)	float		6500..17800	26/26	leaf	12000 | 12000.0 | 8700
revLightsEnd	Rev lights end (inferred)	float		7000..18000	26/26	leaf	12200 | 8650 | 17800
revLightsPurpleStart	Rev lights purple start (inferred)	float		6500..17400	26/26	leaf	11400 | 8400 | 17400
revLightsRedStart	Rev lights red start (inferred)	float		6000..17000	26/26	leaf	10500 | 8000 | 17000
revLightsStart	Rev lights start (inferred)	float		5500..16600	26/26	leaf	9800 | 6800 | 16600
stat_id	Numeric id of the row, unique in its table; the game keys runtime maps on it (proven)	int		0..33	26/26	leaf	0 | 1 | 2
supplier	Supplier (inferred)	string			26/26	leaf	lng_engine_supplier_renault | lng_engine_supplier_ferrari | lng_engine_supplier_mercedes

entrants.entrant_lists.entrant_list_N

68 rows, _instancecount_ 68.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_entrant_instancecount_	Number of entrants on the grid; the parser reads only this many (proven)	int	entrants	1..50	64/68		1 | 20 | 22
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			68/68	leaf	classic | f1_generic | f1_world
_vehicle_package_override_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	1/68		1
available	Availability flag; every team and vehicle row ships False and the game sets it at startup (proven)	bool		False	68/68	leaf	False
display_name	Localisation key of the name shown in menus (inferred)	string			68/68	leaf	lng_classic_class_mixed | lng_customisation | lng_f1_world
entrant_list_references	Other lists whose entrants are read first and included (proven)	list			68/68	leaf	| f1_2024,f1_career_2024_driver_pool,f1_career_20… | f1_2025
fixed_garage_assignments	Standings list that fixes the garage order (inferred)	id			68/68	leaf	| f2_teams_2023 | f1_teams_2023
leaderboard	Label of a row in track_data.game_setup.TrackDataSet_N (inferred)	id			68/68	leaf	classic | f1 |
previous_season_driver_standings	Previous season driver standings (inferred)	id			68/68	leaf	| f2_drivers_2023 | f1_drivers_2023
previous_season_team_standings	Team standings used for garage order (PreviousSeasonTeamStandings) (inferred)	id			68/68	leaf	| f2_teams_2023 | f1_teams_2023
restrict_custom_driver_numbers	Flag: restrict custom driver numbers (inferred)	bool		False, True	68/68	leaf	False | True
season	Season the grid belongs to (inferred)	id			68/68	leaf	| season_2025 | season_2023
stat_id	Numeric id of the row, unique in its table; the game keys runtime maps on it (proven)	int		1..104	68/68	leaf	1 | 13 | 30
ui_path	Ui path (inferred)	string			68/68	leaf	classic | f1_generic | f2_2023

entrants.entrant_lists.entrant_list_N.entrant_N

1190 rows, _instancecount_ 1-50.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			1190/1190	leaf	c_classic_car | generic_driver_01 | generic_driver_02
badge_customisation	Label of a row in entrants.drivers.driver_N (inferred)	id			1190/1190	leaf	| arron_barnes | martin_giles
car_number	Race number (inferred)	int		1..255	1190/1190	leaf	255 | 1 | 2
driver	Label of the entrant's driver (proven)	id			1190/1190	leaf	| dennis_hauger | jehan_daruvala
driver_customisation	Driver appearance preset (inferred)	id			1190/1190	leaf	| 2023-f2-mpmotorsport_dennis_hauger | 2023-f2-mpmotorsport_jehan_daruvala
entrant_reference	Reference id of the entrant (list-driver) (inferred)	id			1190/1190	leaf	| arron_barnes | martin_giles
team	Label of the entrant's row in entrants.teams; resolved without a found check (proven)	id			1190/1190	leaf	c_classic_car | f1_generic | mpmotorsport_23
team_position	Seat in the team (1 or 2, 0 or 1 on some lists, -1 for custom-team seats) (inferred)	int		-1..9	1190/1190	leaf	-1 | 0 | 1
vehicle	Label of the entrant's row in entrants.vehicles (proven)	id			1190/1190	leaf	c_classic_car | fom_car_2025 | world_car_2025
vehicle_customisation	Livery preset of the car (empty on real-team entrants) (inferred)	id			1190/1190	leaf	| konnersport_vehicle_customisation | arron_barnes

entrants.entrant_lists.entrant_list_N.vehicle_package_override_N

1 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			1/1	leaf	vehicle_package_override
override_vehicle_package	Override vehicle package (inferred)	id			1/1	leaf	f1_2024_beta
target_vehicle_package	Target vehicle package (inferred)	id			1/1	leaf	f1_2024

entrants.entrant_lists.entrants.entrant_N

167 rows, _instancecount_ 167.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			167/167	leaf	max_verstappen | sergio_perez | oscar_piastri
badge_customisation	Label of a row in entrants.drivers.driver_N (inferred)	id			167/167	leaf	| arron_barnes | martin_giles
car_number	Car number (inferred)	int		0..255	167/167	leaf	33 | 11 | 81
driver	Label of a row in entrants.drivers.driver_N (inferred)	id			167/167	leaf	max_verstappen | sergio_perez | oscar_piastri
driver_customisation	Label of a row in entrants.driver_customisations.folder_N.preloaded_driver_customisation_properties_N (inferred)	id			167/167	leaf	2025-redbull_max_verstappen | 2026-cadillac_sergio_perez | 2025-mclaren_oscar_piastri
entrant_reference	Entrant reference (inferred)	id			167/167	leaf
team	Label of a row in entrants.teams.team_N (inferred)	id			167/167	leaf	| williams | tororosso
team_position	Team position (inferred)	int		-1	167/167	leaf	-1
vehicle	Label of a row in entrants.vehicles.vehicle_N (inferred)	id			167/167	leaf	| williams_2024_story | toro_rosso_2024_story
vehicle_customisation	Label of a row in entrants.drivers.driver_N (inferred)	id			167/167	leaf	| arron_barnes | martin_giles

entrants.entrant_setup_modes.entrant_setup_mode_N

11 rows, _instancecount_ 11.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			11/11	leaf	f1 | classic | f2
ai.driver.networkReplicated	Flag: ai driver network replicated (inferred)	bool		False, True	11/11	leaf	False | True
ai.driver.preloaded	Flag: ai driver preloaded (inferred)	bool		True	11/11	leaf	True
ai.driver.userDefined	Flag: ai driver user defined (inferred)	bool		False	11/11	leaf	False
ai.team.networkReplicated	Flag: ai team network replicated (inferred)	bool		False	11/11	leaf	False
ai.team.preloaded	Flag: ai team preloaded (inferred)	bool		True	11/11	leaf	True
ai.team.userDefined	Flag: ai team user defined (inferred)	bool		False	11/11	leaf	False
ai.vehicle.networkReplicated	Flag: ai vehicle network replicated (inferred)	bool		False	11/11	leaf	False
ai.vehicle.preloaded	Flag: ai vehicle preloaded (inferred)	bool		True	11/11	leaf	True
ai.vehicle.userDefined	Flag: ai vehicle user defined (inferred)	bool		False	11/11	leaf	False
available	Availability flag; every team and vehicle row ships False and the game sets it at startup (proven)	bool		False	11/11	leaf	False
display_name	Localisation key of the name shown in menus (inferred)	string			11/11	leaf	lng_modern | lng_classic | lng_f2
entrant_lists	Entrant lists the mode draws from (proven)	list			11/11	leaf	f1_2024_story_prologue,f1_2024_story,f1_2025_st… | classic | f2_2025,f2_2024,career_f2_2024_for_f1_2025,care…
max_entrants	Most cars the selector fields; values below 1 mean no limit (proven)	int	cars	5..24	11/11	leaf	20 | 22 | 5
max_teams	Most teams kept after selection (-1 = no limit) (proven)	int	teams	-1	11/11	leaf	-1
player.driver.networkReplicated	Flag: player driver network replicated (inferred)	bool		False, True	11/11	leaf	True | False
player.driver.preloaded	Flag: player driver preloaded (inferred)	bool		False, True	11/11	leaf	True | False
player.driver.userDefined	Flag: player driver user defined (inferred)	bool		False, True	11/11	leaf	False | True
player.team.networkReplicated	Flag: player team network replicated (inferred)	bool		False	11/11	leaf	False
player.team.preloaded	Flag: player team preloaded (inferred)	bool		True	11/11	leaf	True
player.team.userDefined	Flag: player team user defined (inferred)	bool		False, True	11/11	leaf	False | True
player.vehicle.networkReplicated	Flag: player vehicle network replicated (inferred)	bool		False	11/11	leaf	False
player.vehicle.preloaded	Flag: player vehicle preloaded (inferred)	bool		True	11/11	leaf	True
player.vehicle.userDefined	Flag: player vehicle user defined (inferred)	bool		False, True	11/11	leaf	False | True
remove_replaced_entrants	Flag: remove replaced entrants (inferred)	bool		True	11/11	leaf	True
reuse_entrants	When False the limit is also capped at the number of candidates (proven)	bool		False, True	11/11	leaf	False | True
second_player.driver.networkReplicated	Flag: second player driver network replicated (inferred)	bool		False, True	11/11	leaf	True | False
second_player.driver.preloaded	Flag: second player driver preloaded (inferred)	bool		False, True	11/11	leaf	True | False
second_player.driver.userDefined	Flag: second player driver user defined (inferred)	bool		False, True	11/11	leaf	False | True
second_player.team.networkReplicated	Flag: second player team network replicated (inferred)	bool		False	11/11	leaf	False
second_player.team.preloaded	Flag: second player team preloaded (inferred)	bool		True	11/11	leaf	True
second_player.team.userDefined	Flag: second player team user defined (inferred)	bool		False, True	11/11	leaf	False | True
second_player.vehicle.networkReplicated	Flag: second player vehicle network replicated (inferred)	bool		False	11/11	leaf	False
second_player.vehicle.preloaded	Flag: second player vehicle preloaded (inferred)	bool		True	11/11	leaf	True
second_player.vehicle.userDefined	Flag: second player vehicle user defined (inferred)	bool		False, True	11/11	leaf	False | True
selectable_entrant_lists	Lists the player can pick; the first one is the Grand Prix candidate pool (proven)	list			11/11	leaf	f1_2025 | classic | f2_2026,f2_2025,f2_2024
selection_domain	Label of a row in entrants.selection_domains.selection_domain_N (inferred)	id			11/11	leaf	| fictional_drivers | fom_car
selection_order	Label of a row in entrants.selection_orders.selection_order_N (inferred)	id			11/11	leaf	modern | classic | multiclass
stat_id	Numeric id of the row, unique in its table; the game keys runtime maps on it (proven)	int		0..12	11/11	leaf	0 | 1 | 2

entrants.entrant_specialisation.specialisation_sets.specialisation_set_N

6 rows, _instancecount_ 6.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			6/6	leaf	classics_2019 | f1_2023 | f1_2024_beta
_specialisation_team_reference_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	11..12	4/6		11 | 12
game_setup_modes	Labels of rows in game_setup.game_setup_modes.game_setup_mode_N (inferred)	list			6/6	leaf	classic | f1,f1_generic,f1_elimination,f1_tr | f1
is_invalid	Flag: is invalid (inferred)	bool		False	6/6	leaf	False
seasons	Labels of rows in game_setup.seasons.season_N (inferred)	list			6/6	leaf	season_2024,season_2025 | season_2023 | season_2024
weekend_formats	Labels of rows in game_setup.game_setup_modes.game_setup_mode_N.weekend_options_N.weekend_structure_N (inferred)	list			6/6	leaf	default,sprint

entrants.entrant_specialisation.specialisation_sets.specialisation_set_N.specialisation_team_reference_N

45 rows, _instancecount_ 11-12.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_driver_reference_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	2..4	45/45		2 | 4 | 3
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			45/45	leaf	ferrari | forceindia | haas
team	Label of a row in entrants.teams.team_N (inferred)	id			45/45	leaf	ferrari | forceindia | haas

entrants.entrant_specialisation.specialisation_sets.specialisation_set_N.specialisation_team_reference_N.driver_reference_N

93 rows, _instancecount_ 2-4.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_garage_specialisation_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	91/93		1
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			93/93	leaf	charles_leclerc | carlos_sainz-jr | lance_stroll
driver	Label of a row in entrants.drivers.driver_N (inferred)	id			93/93	leaf	charles_leclerc | carlos_sainz-jr | lance_stroll
driver_customisation	Driver customisation (inferred)	id			93/93	leaf

entrants.entrant_specialisation.specialisation_sets.specialisation_set_N.specialisation_team_reference_N.driver_reference_N.garage_specialisation_N

91 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			91/91	leaf	garage_specialisation
material	Material (inferred)	string			91/91	leaf	eaid://environment_package/core_assets/objects/…

entrants.entrant_specialisation.specialisation_sets_N

6 rows, _instancecount_ 6.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			6/6	leaf	2022 | 2023 | 2023_beta
sets	Labels of rows in entrants.entrant_specialisation.specialisation_sets.specialisation_set_N (inferred)	list			6/6	leaf	classics_2019 | classics_2019,f1_2023 | f1_2024_beta

entrants.expression_label.expression_label_N

41 rows, _instancecount_ 41.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			41/41	leaf	default | mercedes | redbull
label_material	Label material (inferred)	string			41/41	leaf	default_label | label_mercedes |
stat_id	Numeric id of the row, unique in its table; the game keys runtime maps on it (proven)	int		0..40	41/41	leaf	0 | 1 | 2

entrants.formula_classes.formula_class_N

6 rows, _instancecount_ 6.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			6/6	leaf	f1 | f2 | f3
available	Availability flag; every team and vehicle row ships False and the game sets it at startup (proven)	bool		False	6/6	leaf	False
display_name	Localisation key of the name shown in menus (inferred)	string			6/6	leaf	lng_formula_class_f1_title | lng_formula_class_f2_title | lng_formula_class_f3_title
stat_id	Numeric id of the row, unique in its table; the game keys runtime maps on it (proven)	int		0..5	6/6	leaf	0 | 1 | 2

entrants.nationality.nationality_N

90 rows, _instancecount_ 90.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			90/90	leaf	default | usa | algeria
flag_material	Flag material (inferred)	string			90/90	leaf	flag_other | flag_usa | flag_algerian
iso_code	Iso code (inferred)	string			90/90	leaf	XX | US | DZ
language_string	Language string (inferred)	string			90/90	leaf	lng_nationality_other | lng_nationality_usa | lng_nationality_algerian
stat_id	Numeric id of the row, unique in its table; the game keys runtime maps on it (proven)	int		0..90	90/90	leaf	0 | 1 | 88

entrants.selection_domains.selection_domain_N

5 rows, _instancecount_ 5.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			5/5	leaf	fictional_drivers | fom_car | f1_world
available	Availability flag; every team and vehicle row ships False and the game sets it at startup (proven)	bool		False	5/5	leaf	False
display_name	Localisation key of the name shown in menus (inferred)	string			5/5	leaf	lng_classic | lng_fom_car | lng_f1_world
stat_id	Numeric id of the row, unique in its table; the game keys runtime maps on it (proven)	int		1..5	5/5	leaf	1 | 2 | 3

entrants.selection_domains.selection_domain_N.drivers.driver_reference_N

135 rows, _instancecount_ 27.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			135/135	leaf	arron_barnes | martin_giles | alex_murray
driver	Label of a row in entrants.drivers.driver_N (inferred)	id			135/135	leaf	arron_barnes | martin_giles | alex_murray
driver_customisation	Driver customisation (inferred)	id			135/135	leaf	| santiago_moreno

entrants.selection_orders.selection_order_N

4 rows, _instancecount_ 4.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			4/4	leaf	modern | classic | deluxe_edition
driver	Driver (inferred)	int		0..1	4/4	leaf	1 | 0
team	Team (inferred)	int		-1	4/4	leaf	-1
team_and_vehicle	Team and vehicle (inferred)	int		-1..0	4/4	leaf	0 | -1

entrants.standings.standings_N

20 rows, _instancecount_ 20.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_driver_reference_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	20..22	8/20		22 | 20
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			20/20	leaf	f1_teams_2023_story | f1_teams_2024_story | f2_teams_2023
_team_reference_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	10..11	12/20		11 | 10

entrants.standings.standings_N.driver_reference_N

174 rows, _instancecount_ 20-22.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			174/174	leaf	theo_pourchaire | jehan_daruvala | ralph_boschung
driver	Label of a row in entrants.drivers.driver_N (inferred)	id			174/174	leaf	theo_pourchaire | jehan_daruvala | ralph_boschung
driver_customisation	Driver customisation (inferred)	id			174/174	leaf

entrants.standings.standings_N.team_reference_N

129 rows, _instancecount_ 10-11.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			129/129	leaf	redbull | mercedes | ferrari
team	Label of a row in entrants.teams.team_N (inferred)	id			129/129	leaf	redbull_24 | mercedes_24 | ferrari_24

entrants.team_customisation.team_customisation_for_year_N

4 rows, _instancecount_ 4.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			4/4	leaf	2024 | 2023 | 2025
_team_customisation_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	12..36	4/4		24 | 12 | 36
f1_season	Label of a row in game_setup.seasons.season_N (inferred)	id			4/4	leaf	season_2024 | season_2023 | season_2025

entrants.team_customisation.team_customisation_for_year_N.team_customisation_N

95 rows, _instancecount_ 12-36.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			95/95	leaf	2024-default_team_customisation | 2024-ferrari | 2024-williams
gloves	Label of a row in customisation.custom_avatar.suits.Suit_N (inferred)	id			95/95	leaf	unassigned_livery18 | 2024-ferrari | 2024-williams
isDefaultForYear	Flag: is default for year (inferred)	bool		False, true	95/95	leaf	true | False
is_default_for_team	Flag: is default for team (inferred)	bool		False	95/95	leaf	False
linked_team	Label of a row in entrants.teams.team_N (inferred)	id			95/95	leaf	| ferrari_24 | williams_24
official_driver_customisations	Labels of rows in customisation.custom_avatar.suits.Suit_N (inferred)	list			95/95	leaf	| 2024-ferrari_charles_leclerc,2024-ferrari_carlo… | 2024-williams_logan_sargeant,2024-williams_alex…
stat_id	Numeric id of the row, unique in its table; the game keys runtime maps on it (proven)	int		45..151	95/95	leaf	45 | 56 | 65
suit	Label of a row in customisation.custom_avatar.suits.Suit_N (inferred)	id			95/95	leaf	unassigned_livery18 | 2024-ferrari | 2024-williams

entrants.teams.team_N

358 rows, _instancecount_ 358.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			358/358	leaf	mercedes | ferrari | redbull
_story_info_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	300/358		1
animation_set	Label of a row in entrants.entrant_lists.entrant_list_N (inferred)	id			358/358	leaf	f1_2025 | | f1_myteam
audio_id	Team id used by commentary and radio audio (inferred)	int		0..37	358/358	leaf	4 | 1 | 0
available	Availability flag; every team and vehicle row ships False and the game sets it at startup (proven)	bool		False	358/358	leaf	False
display_name	Localisation key of the name shown in menus (inferred)	string			358/358	leaf	lng_team_mer_title | lng_team_fer_title | lng_team_rbr_title
display_name_code	Three-letter team code (timing tower, results) (inferred)	string			358/358	leaf	MER | FER | RBR
display_name_short	Localisation key of the short name (inferred)	string			358/358	leaf	lng_team_mer_title_short | lng_team_fer_title_short | lng_team_rbr_title_short
display_name_super_short	Localisation key of the shortest name (inferred)	string			358/358	leaf	lng_team_mer_title_super_short | lng_team_fer_title_super_short | lng_team_rbr_title_super_short
expression_label	Label of a row in entrants.teams.team_N (inferred)	id			358/358	leaf	mercedes | ferrari | redbull
livery_name	Team livery and kit name (inferred)	string			358/358	leaf	mercedes | ferrari | redbull
nationality	Label of a row in entrants.nationality.nationality_N (inferred)	id			358/358	leaf	britain | italy | usa
prestige	Team prestige rating (-1 = none) (inferred)	int		-1..20	358/358	leaf	-1 | 18 | 8
primary_colour	Colour as a signed 32-bit ARGB integer (inferred)	t11	ARGB	-16776961..-1	358/358	leaf	-13249833 | -2023665 | -13943202
secondary_colour	Colour as a signed 32-bit ARGB integer (inferred)	t11	ARGB	-16776961..-1	358/358	leaf	-1447447 | -5056 | -840671
show_custom_badge_in_UI	Flag: show custom badge in UI (inferred)	bool		False, True	358/358	leaf	False | True
show_team_badge	Flag: show team badge (inferred)	bool		False, True	358/358	leaf	False | True
stat_id	Numeric id of the row, unique in its table; the game keys runtime maps on it (proven)	int		0..499	358/358	leaf+hash	0 | 1 | 2
team_base	Team base (inferred)	string			358/358	leaf	lng_mercedes_base | lng_ferrari_base | lng_red_bull_base
team_boss	Team principal (a character label) (inferred)	id			358/358	leaf	toto_wollf | frederic_vasseur | christian_horner
team_colour_valid	Flag: team colour valid (inferred)	bool		False, True	358/358	leaf	True | False
team_wear_primary_colour	Colour as a signed 32-bit ARGB integer (inferred)	t11	ARGB	-16776961..-1	358/358	leaf	-13249833 | -2023665 | -13943202
team_wear_secondary_colour	Colour as a signed 32-bit ARGB integer (inferred)	t11	ARGB	-16776961..-1	358/358	leaf	-1447447 | -5056 | -840671
team_wear_tertiary_colour	Colour as a signed 32-bit ARGB integer (inferred)	t11	ARGB	-16776961..-1	358/358	leaf	-14474461 | -13750738 | -141056
tertiary_colour	Colour as a signed 32-bit ARGB integer (inferred)	t11	ARGB	-16776961..-1	358/358	leaf	-14474461 | -13750738 | -141056
timing_tower_texture_path	Timing tower team texture name (inferred)	string			358/358	leaf	mercedes | ferrari | red_bull
ui_team_colour	Colour as a signed 32-bit ARGB integer (inferred)	t11	ARGB	-16776961..-1	358/358	leaf	-16723266 | -2359296 | -14276470

entrants.teams.team_N.story_info_N

300 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			300/300	leaf	story_info
description	Description (inferred)	string			300/300	leaf	lng_team_mer_desc | lng_team_fer_desc | lng_team_rbr_desc
hashtag	Hashtag (inferred)	string			300/300	leaf	lng_team_mer_hashtag | lng_team_fer_hashtag | lng_team_rbr_hashtag

entrants.teams.team_select_environment_colour_overrides.team_environment_colour_override_N

1 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			1/1	leaf	f1_custom_team
primary_colour	Colour as a signed 32-bit ARGB integer (inferred)	t11	ARGB	-16166048	1/1	leaf	-16166048
secondary_colour	Colour as a signed 32-bit ARGB integer (inferred)	t11	ARGB	-5890530	1/1	leaf	-5890530
team	Team (inferred)	id			1/1	leaf	f1_custom_team
tertiary_colour	Colour as a signed 32-bit ARGB integer (inferred)	t11	ARGB	-1	1/1	leaf	-1

entrants.ui.asset_templates.tyre_compounds.icon_strings.ui_texture_path_N

2 rows, _instancecount_ 2.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			2/2	leaf	osd | text_box
name	Label of a row in entrants.ui.asset_templates.tyre_compounds.icon_strings.ui_texture_path_N (inferred)	string			2/2	leaf	osd | text_box
path	Path (inferred)	string			2/2	leaf	{s:icons_within_strings}[COMPOUND]{/s}

entrants.ui.asset_templates.tyre_compounds.textures.ui_texture_path_N

5 rows, _instancecount_ 5.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			5/5	leaf	small | compound_icon | tyre_icon
name	Label of a row in entrants.ui.asset_templates.tyre_compounds.textures.ui_texture_path_N (inferred)	string			5/5	leaf	small | compound_icon | tyre_icon
path	Path (inferred)	string			5/5	leaf	#overrides.tyre_allocation.key_icons.[COMPOUND] | #overrides.tyre_allocation.compound_icons.[COMP… | #overrides.tyre_allocation.tyre_icons.[COMPOUND]

entrants.vehicles.vehicle_N

413 rows, _instancecount_ 413.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			413/413	leaf	safety_car_mercedes | c_classic_car | fom_car
ai_vehicle_config.allow_to_pass.allow_to_pass_gap	How the AI lets faster cars by (gaps, slow-down distances): allow to pass gap (inferred)	float		2	413/413	path	2
ai_vehicle_config.allow_to_pass.dist_for_max_slow_down_before_pull_out	How the AI lets faster cars by (gaps, slow-down distances): dist for max slow down before pull out (inferred)	float		100	413/413	path	100
ai_vehicle_config.allow_to_pass.dist_for_min_slow_down_before_pull_out	How the AI lets faster cars by (gaps, slow-down distances): dist for min slow down before pull out (inferred)	float		17.5	413/413	path	17.5
ai_vehicle_config.allow_to_pass.dist_needed_after_racing_line_yield	How the AI lets faster cars by (gaps, slow-down distances): dist needed after racing line yield (inferred)	float		100	413/413	path	100
ai_vehicle_config.allow_to_pass.high_urgently_speed_factor	How the AI lets faster cars by (gaps, slow-down distances): high urgently speed factor (inferred)	float	multiplier	0.4	413/413	path	0.4
ai_vehicle_config.allow_to_pass.high_urgently_speed_modifier	How the AI lets faster cars by (gaps, slow-down distances): high urgently speed modifier (inferred)	float	multiplier	-1	413/413	path	-1
ai_vehicle_config.allow_to_pass.low_urgently_speed_factor	How the AI lets faster cars by (gaps, slow-down distances): low urgently speed factor (inferred)	float	multiplier	1.05	413/413	path	1.05
ai_vehicle_config.allow_to_pass.low_urgently_speed_modifier	How the AI lets faster cars by (gaps, slow-down distances): low urgently speed modifier (inferred)	float	multiplier	5	413/413	path	5
ai_vehicle_config.allow_to_pass.max_look_ahead_dist	How the AI lets faster cars by (gaps, slow-down distances): max look ahead dist (inferred)	float		200	413/413	path	200
ai_vehicle_config.allow_to_pass.min_look_ahead_dist	How the AI lets faster cars by (gaps, slow-down distances): min look ahead dist (inferred)	float		50	413/413	path	50
ai_vehicle_config.allow_to_pass.pull_out_time_to_braking_zone	How the AI lets faster cars by (gaps, slow-down distances): pull out time to braking zone (inferred)	float		1	413/413	path	1
ai_vehicle_config.allow_to_pass.time_behind_end	How the AI lets faster cars by (gaps, slow-down distances): time behind end (inferred)	float		1	413/413	path	1.0
ai_vehicle_config.allow_to_pass.time_behind_start	How the AI lets faster cars by (gaps, slow-down distances): time behind start (inferred)	curve			413/413	path	@v2@minx:0,maxx:15,miny:0,maxy:1,0:0.05,0:0.1,0…
ai_vehicle_config.allow_to_pass.yield_dist_to_corner_mult	How the AI lets faster cars by (gaps, slow-down distances): yield dist to corner mult (inferred)	float	multiplier	0.5	413/413	path	0.5
ai_vehicle_config.allow_to_pass.yield_pullout_dist	How the AI lets faster cars by (gaps, slow-down distances): yield pullout dist (inferred)	float		100	413/413	path	100
ai_vehicle_config.allow_to_pass.yield_target_lengths	How the AI lets faster cars by (gaps, slow-down distances): yield target lengths (inferred)	float		5	413/413	path	5
ai_vehicle_config.blocking.block_pulled_out_factor	How the AI defends its position: block pulled out factor (inferred)	float	multiplier	0.33	413/413	path	0.33
ai_vehicle_config.blocking.need_to_leave_space_offset	How the AI defends its position: need to leave space offset (inferred)	float		2	413/413	path	2
ai_vehicle_config.blocking.radius_for_sharp_corner_blocking	How the AI defends its position: radius for sharp corner blocking (inferred)	float		105	413/413	path	105
ai_vehicle_config.blocking.safe_blocking_distance	How the AI defends its position: safe blocking distance (inferred)	float		1.75	413/413	path	1.75
ai_vehicle_config.blocking.safe_blocking_distance_at_race_start	How the AI defends its position: safe blocking distance at race start (inferred)	float		1.5	413/413	path	1.5
ai_vehicle_config.buffer_space_settings.follow_buffer_max_distance	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: follow buffer max distance (proven)	float		10	413/413	path	10
ai_vehicle_config.buffer_space_settings.follow_buffer_min_distance	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: follow buffer min distance (proven)	float		0.5	413/413	path	0.5
ai_vehicle_config.buffer_space_settings.follow_buffer_speed_percentage	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: follow buffer speed percentage (proven)	float	%	0.05	413/413	path	0.05
ai_vehicle_config.buffer_space_settings.track_edge_buffer	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: track edge buffer (proven)	curve			413/413	path	@v2@minx:0,maxx:500,miny:0,maxy:1,0:0.55,0:0.45…
ai_vehicle_config.buffer_space_settings.vehicle_buffer	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: vehicle buffer (proven)	curve			413/413	path	@v2@minx:50,maxx:500,miny:0,maxy:1,0:0.35,0:0.3…
ai_vehicle_config.celebration.lead_time_needed	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: lead time needed (proven)	float		1.2	413/413	path	1.2
ai_vehicle_config.celebration.speed_limit	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: speed limit (proven)	float		25	413/413	path	25
ai_vehicle_config.celebration.speed_limit_fade_out_time	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: speed limit fade out time (proven)	float		50	413/413	path	50
ai_vehicle_config.damage_settings.aero_brake_distance_increase_factor	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: aero brake distance increase factor (proven)	float	multiplier	0.1	413/413	path	0.1
ai_vehicle_config.damage_settings.aero_radius_modifier	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: aero radius modifier (proven)	float	multiplier	0.04	413/413	path	0.04
ai_vehicle_config.damage_settings.aero_speed_reduction_factor	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: aero speed reduction factor (proven)	float	multiplier	0.12	413/413	path	0.12
ai_vehicle_config.damage_settings.burst_brake_distance_increase_factor	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: burst brake distance increase factor (proven)	float	multiplier	0.25	413/413	path	0.25
ai_vehicle_config.damage_settings.burst_radius_modifier	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: burst radius modifier (proven)	float	multiplier	0.3	413/413	path	0.3
ai_vehicle_config.damage_settings.burst_speed_reduction_factor	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: burst speed reduction factor (proven)	float	multiplier	0.325	413/413	path	0.325
ai_vehicle_config.doughnut.dot_to_steering	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: dot to steering (proven)	curve			413/413	path	@v2@minx:-1,maxx:1,miny:-1,maxy:1,0:1,0.4480207…
ai_vehicle_config.doughnut.dot_to_throttle	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: dot to throttle (proven)	curve			413/413	path	@v2@minx:-1,maxx:1,miny:0,maxy:1,0:1,0.2763852:…
ai_vehicle_config.doughnut.grip_fl	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: grip fl (proven)	float		0.7	413/413	path	0.7
ai_vehicle_config.doughnut.grip_fr	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: grip fr (proven)	float		0.7	413/413	path	0.7
ai_vehicle_config.doughnut.grip_rl	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: grip rl (proven)	float		0.7	413/413	path	0.7
ai_vehicle_config.doughnut.grip_rr	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: grip rr (proven)	float		0.7	413/413	path	0.7
ai_vehicle_config.doughnut.lateral_grip_multiplier_fl	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: lateral grip multiplier fl (proven)	float		0.8	413/413	path	0.8
ai_vehicle_config.doughnut.lateral_grip_multiplier_fr	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: lateral grip multiplier fr (proven)	float		1	413/413	path	1
ai_vehicle_config.doughnut.lateral_grip_multiplier_rl	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: lateral grip multiplier rl (proven)	float		0.75	413/413	path	0.75
ai_vehicle_config.doughnut.lateral_grip_multiplier_rr	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: lateral grip multiplier rr (proven)	float		0.75	413/413	path	0.75
ai_vehicle_config.downforce_loss.aero_reduction_scalar	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: aero reduction scalar (proven)	curve	multiplier		413/413	path	@v2@minx:0,maxx:1,miny:0,maxy:1,0:0,0:0,0.1:0.0…
ai_vehicle_config.downforce_loss.speed_removal_percentage	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: speed removal percentage (proven)	curve	%		413/413	path	@v2@minx:0,maxx:110,miny:0,maxy:1,0:0,0:0,0.181…
ai_vehicle_config.drafting.drafting_a_human.draft_approach_speed_needed	How the AI uses the slipstream: draft approach speed needed (inferred)	float		-3.25	413/413	path	-3.25
ai_vehicle_config.drafting.drafting_a_human.draft_end_time	How the AI uses the slipstream: draft end time (inferred)	float		0.56	413/413	path	0.56
ai_vehicle_config.drafting.drafting_a_human.draft_max_correction	How the AI uses the slipstream: draft max correction (inferred)	float		0.095	413/413	path	0.095
ai_vehicle_config.drafting.drafting_a_human.draft_offset_mult	How the AI uses the slipstream: draft offset mult (inferred)	float	multiplier	0.5	413/413	path	0.5
ai_vehicle_config.drafting.drafting_a_human.draft_potential_speed_gain_needed	How the AI uses the slipstream: draft potential speed gain needed (inferred)	float		5	413/413	path	5
ai_vehicle_config.drafting.drafting_a_human.draft_start_time	How the AI uses the slipstream: draft start time (inferred)	float		0.51	413/413	path	0.51
ai_vehicle_config.drafting.drafting_a_human.drafting_a_drafter_start_time	How the AI uses the slipstream: drafting a drafter start time (inferred)	float		-1	413/413	path	-1
ai_vehicle_config.drafting.drafting_an_ai.draft_approach_speed_needed	How the AI uses the slipstream: draft approach speed needed (inferred)	float		-0.8	413/413	path	-0.8
ai_vehicle_config.drafting.drafting_an_ai.draft_end_time	How the AI uses the slipstream: draft end time (inferred)	float		0.46	413/413	path	0.46
ai_vehicle_config.drafting.drafting_an_ai.draft_max_correction	How the AI uses the slipstream: draft max correction (inferred)	float		0.075	413/413	path	0.075
ai_vehicle_config.drafting.drafting_an_ai.draft_offset_mult	How the AI uses the slipstream: draft offset mult (inferred)	float	multiplier	0.5	413/413	path	0.5
ai_vehicle_config.drafting.drafting_an_ai.draft_potential_speed_gain_needed	How the AI uses the slipstream: draft potential speed gain needed (inferred)	float		5	413/413	path	5
ai_vehicle_config.drafting.drafting_an_ai.draft_start_time	How the AI uses the slipstream: draft start time (inferred)	float		0.36	413/413	path	0.36
ai_vehicle_config.drafting.drafting_an_ai.drafting_a_drafter_start_time	How the AI uses the slipstream: drafting a drafter start time (inferred)	float		0.2	413/413	path	0.2
ai_vehicle_config.drafting.time_to_braking_zone_to_start_drafting	How the AI uses the slipstream: time to braking zone to start drafting (inferred)	float		3.5	413/413	path	3.5
ai_vehicle_config.drafting.time_to_braking_zone_to_stop_drafting	How the AI uses the slipstream: time to braking zone to stop drafting (inferred)	float		2.5	413/413	path	2.5
ai_vehicle_config.drafting.time_to_move	How the AI uses the slipstream: time to move (inferred)	float		1.15	413/413	path	1.15
ai_vehicle_config.ers_use.push_on_in_or_out_lap_battery_level	How the AI deploys ERS: push on in or out lap battery level (inferred)	float		0.47..0.5	413/413	path	0.47 | 0.5
ai_vehicle_config.ers_use.push_to_build_gap_battery_level	How the AI deploys ERS: push to build gap battery level (inferred)	float		0.47..0.75	413/413	path	0.7 | 0.47 | 0.75
ai_vehicle_config.ers_use.push_to_build_gap_time_to_car_ahead	How the AI deploys ERS: push to build gap time to car ahead (inferred)	float		1..2	413/413	path	2 | 1
ai_vehicle_config.ers_use.push_to_build_gap_time_to_car_behind	How the AI deploys ERS: push to build gap time to car behind (inferred)	float		1..2	413/413	path	2 | 1
ai_vehicle_config.ers_use.push_to_close_gap_battery_level	How the AI deploys ERS: push to close gap battery level (inferred)	float		0.5..0.67	413/413	path	0.6 | 0.67 | 0.5
ai_vehicle_config.ers_use.push_to_close_gap_time_to_car_ahead	How the AI deploys ERS: push to close gap time to car ahead (inferred)	float		0.6..0.9	413/413	path	0.6 | 0.9 | 0.8
ai_vehicle_config.ers_use.push_to_defend_battery_level	How the AI deploys ERS: push to defend battery level (inferred)	float		0.75..1	413/413	path	1 | 0.75
ai_vehicle_config.ers_use.push_to_defend_speed_differential	How the AI deploys ERS: push to defend speed differential (inferred)	float		2..5	413/413	path	2 | 5
ai_vehicle_config.ers_use.push_to_overtake_battery_level	How the AI deploys ERS: push to overtake battery level (inferred)	float		0.25	413/413	path	0.25
ai_vehicle_config.ers_use.push_to_overtake_distance_to_corner	How the AI deploys ERS: push to overtake distance to corner (inferred)	float		100..300	413/413	path	300 | 100
ai_vehicle_config.ers_use.push_to_overtake_intercept_time_defecit	How the AI deploys ERS: push to overtake intercept time defecit (inferred)	float		2..10	413/413	path	8 | 2 | 10
ai_vehicle_config.ers_use.push_to_overtake_speed_differential	How the AI deploys ERS: push to overtake speed differential (inferred)	float		6	413/413	path	6
ai_vehicle_config.ers_use.switch_from_medium_to_none_in_race_battery_level	How the AI deploys ERS: switch from medium to none in race battery level (inferred)	float		0.01..0.1	413/413	path	0.1 | 0.01
ai_vehicle_config.ers_use.switch_from_none_to_medium_in_race_battery_level	How the AI deploys ERS: switch from none to medium in race battery level (inferred)	float		0.2..0.45	413/413	path	0.45 | 0.2
ai_vehicle_config.ers_use.xmode_enabled.push_to_build_gap_battery_level	How the AI deploys ERS: push to build gap battery level (inferred)	float		0.7	413/413	path	0.7
ai_vehicle_config.ers_use.xmode_enabled.push_to_close_gap_battery_level	How the AI deploys ERS: push to close gap battery level (inferred)	float		0.6	413/413	path	0.6
ai_vehicle_config.ers_use.xmode_enabled.push_to_defend_battery_level	How the AI deploys ERS: push to defend battery level (inferred)	float		1	413/413	path	1
ai_vehicle_config.ers_use.xmode_enabled.push_to_overtake_battery_level	How the AI deploys ERS: push to overtake battery level (inferred)	float		0.15	413/413	path	0.15
ai_vehicle_config.ers_use.xmode_enabled.switch_from_medium_to_none_in_race_battery_level	How the AI deploys ERS: switch from medium to none in race battery level (inferred)	float		0.1	413/413	path	0.1
ai_vehicle_config.ers_use.xmode_enabled.switch_from_none_to_medium_in_race_battery_level	How the AI deploys ERS: switch from none to medium in race battery level (inferred)	float		0.45	413/413	path	0.45
ai_vehicle_config.ers_use.xmode_passive.push_to_build_gap_battery_level	How the AI deploys ERS: push to build gap battery level (inferred)	float		0.8	413/413	path	0.8
ai_vehicle_config.ers_use.xmode_passive.push_to_close_gap_battery_level	How the AI deploys ERS: push to close gap battery level (inferred)	float		1	413/413	path	1
ai_vehicle_config.ers_use.xmode_passive.push_to_defend_battery_level	How the AI deploys ERS: push to defend battery level (inferred)	float		1	413/413	path	1
ai_vehicle_config.ers_use.xmode_passive.push_to_overtake_battery_level	How the AI deploys ERS: push to overtake battery level (inferred)	float		0.3	413/413	path	0.3
ai_vehicle_config.ers_use.xmode_passive.switch_from_medium_to_none_in_race_battery_level	How the AI deploys ERS: switch from medium to none in race battery level (inferred)	float		0.1	413/413	path	0.1
ai_vehicle_config.ers_use.xmode_passive.switch_from_none_to_medium_in_race_battery_level	How the AI deploys ERS: switch from none to medium in race battery level (inferred)	float		0.45	413/413	path	0.45
ai_vehicle_config.exit_fallibility.max_throttle_error_by_grip_dry	How often and how far the AI runs wide or slides on corner exit: max throttle error by grip dry (inferred)	curve			413/413	path	@v2@minx:0,maxx:1,miny:0,maxy:1,0:1,0:1,0.4:1,0…
ai_vehicle_config.exit_fallibility.max_throttle_error_by_grip_wet	How often and how far the AI runs wide or slides on corner exit: max throttle error by grip wet (inferred)	curve			413/413	path	@v2@minx:0,maxx:1,miny:0,maxy:1,0:0.67,0:0.67,0…
ai_vehicle_config.exit_fallibility.max_throttle_error_by_mass	How often and how far the AI runs wide or slides on corner exit: max throttle error by mass (inferred)	curve			413/413	path	@v2@minx:0,maxx:1,miny:0,maxy:1,0:1,0:1,1:1,1:1
ai_vehicle_config.exit_fallibility.max_yaw_angle_deg	How often and how far the AI runs wide or slides on corner exit: max yaw angle deg (inferred)	float	degrees	23	413/413	path	23
ai_vehicle_config.formation_lap.parking_speed_limit	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: parking speed limit (proven)	curve			413/413	path	@v2@minx:0,maxx:100,miny:0,maxy:25,0:0.144,0.03…
ai_vehicle_config.gearbox_controller.aggressive_downshift_grip_to_slip_angle_for_dry_tyres	AI steering, pedal and gearbox controller settings: aggressive downshift grip to slip angle for dry tyres (inferred)	curve			413/413	path	@v2@minx:0,maxx:1,miny:0,maxy:1,0:0.025,0:0.025…
ai_vehicle_config.gearbox_controller.aggressive_downshift_grip_to_slip_angle_for_wet_tyres	AI steering, pedal and gearbox controller settings: aggressive downshift grip to slip angle for wet tyres (inferred)	curve			413/413	path	@v2@minx:0,maxx:1,miny:0,maxy:1,0:0.025,0:0.025…
ai_vehicle_config.gearbox_controller.normal_downshift_grip_to_slip_angle_for_dry_tyres	AI steering, pedal and gearbox controller settings: normal downshift grip to slip angle for dry tyres (inferred)	curve			413/413	path	@v2@minx:0,maxx:1,miny:0,maxy:1,0:0.2,0:0.2,0.3…
ai_vehicle_config.gearbox_controller.normal_downshift_grip_to_slip_angle_for_wet_tyres	AI steering, pedal and gearbox controller settings: normal downshift grip to slip angle for wet tyres (inferred)	curve			413/413	path	@v2@minx:0,maxx:1,miny:0,maxy:1,0:0.2,0:0.2,0.3…
ai_vehicle_config.gearbox_controller.use_physics_auto_gearbox_downshift_speed	AI steering, pedal and gearbox controller settings: use physics auto gearbox downshift speed (inferred)	bool		False	413/413	path	False
ai_vehicle_config.lost_control.angle	How the AI loses and recovers control: angle (inferred)	float	degrees	0.4	413/413	path	0.4
ai_vehicle_config.lost_control.over_rotation_to_spin_time	How the AI loses and recovers control: over rotation to spin time (inferred)	float		0.15	413/413	path	0.15
ai_vehicle_config.lost_control.recovery_time	How the AI loses and recovers control: recovery time (inferred)	float		2	413/413	path	2
ai_vehicle_config.lost_control.spin_angle_continue_ratio	How the AI loses and recovers control: spin angle continue ratio (inferred)	float	multiplier	1.05	413/413	path	1.05
ai_vehicle_config.lost_control.spin_angle_intiate_ratio	How the AI loses and recovers control: spin angle intiate ratio (inferred)	float	multiplier	1.25	413/413	path	1.25
ai_vehicle_config.lost_control.spin_cancel_time	How the AI loses and recovers control: spin cancel time (inferred)	float		0.2	413/413	path	0.2
ai_vehicle_config.lost_control.spin_continue_angle	How the AI loses and recovers control: spin continue angle (inferred)	float	degrees	0.2	413/413	path	0.2
ai_vehicle_config.lost_control.spin_initiate_angle	How the AI loses and recovers control: spin initiate angle (inferred)	float	degrees	0.3	413/413	path	0.3
ai_vehicle_config.lost_control.spun_angle_to_max_steering_angle_ratio	How the AI loses and recovers control: spun angle to max steering angle ratio (inferred)	float	multiplier	3	413/413	path	3
ai_vehicle_config.lost_control.unspun_angle_to_max_steering_angle_ratio	How the AI loses and recovers control: unspun angle to max steering angle ratio (inferred)	float	multiplier	2	413/413	path	2
ai_vehicle_config.merge_rates.corner_radius_merge_rage_graph	How the AI merges back onto the racing line: corner radius merge rage graph (inferred)	curve			413/413	path	@v2@minx:150,maxx:300,miny:0,maxy:10,0:0.5,0:0.…
ai_vehicle_config.merge_rates.near_corner_merge_rate_graph	How the AI merges back onto the racing line: near corner merge rate graph (inferred)	curve			413/413	path	@v2@minx:0,maxx:300,miny:0,maxy:10,0:0.4,0:0.35…
ai_vehicle_config.merge_rates.steering_heat_map.blocking_ending_merge_rate	How the AI merges back onto the racing line: blocking ending merge rate (inferred)	curve			413/413	path	@v2@minx:0,maxx:1,miny:0,maxy:10,0:0.175,0:0.17…
ai_vehicle_config.merge_rates.steering_heat_map.blocking_starting_merge_rate	How the AI merges back onto the racing line: blocking starting merge rate (inferred)	curve			413/413	path	@v2@minx:0,maxx:1,miny:0,maxy:10,0:0.1,0:0.1,0.…
ai_vehicle_config.merge_rates.steering_heat_map.celebration_merge_rate	How the AI merges back onto the racing line: celebration merge rate (inferred)	float		4	413/413	path	4
ai_vehicle_config.merge_rates.steering_heat_map.max_merge_rate	How the AI merges back onto the racing line: max merge rate (inferred)	float		5	413/413	path	5
ai_vehicle_config.merge_rates.steering_heat_map.max_merge_rate_for_Side_Swipe	How the AI merges back onto the racing line: max merge rate for side swipe (inferred)	float		3	413/413	path	3
ai_vehicle_config.merge_rates.steering_heat_map.max_merge_rate_for_drafting_ai	How the AI merges back onto the racing line: max merge rate for drafting ai (inferred)	float		3	413/413	path	3
ai_vehicle_config.merge_rates.steering_heat_map.max_merge_rate_for_drafting_human	How the AI merges back onto the racing line: max merge rate for drafting human (inferred)	float		6	413/413	path	6
ai_vehicle_config.merge_rates.steering_heat_map.space_seeking_merge_rate	How the AI merges back onto the racing line: space seeking merge rate (inferred)	float		4	413/413	path	4
ai_vehicle_config.merge_rates.track_edge_proximity_merge_rate_graph	How the AI merges back onto the racing line: track edge proximity merge rate graph (inferred)	curve			413/413	path	@v2@minx:1,maxx:3,miny:0,maxy:10,0:0.5,0:0.5,1:…
ai_vehicle_config.merge_rates.vehicle_heat_map.blocking_ending_merge_rate	How the AI merges back onto the racing line: blocking ending merge rate (inferred)	curve			413/413	path	@v2@minx:0,maxx:1,miny:0,maxy:10,0:0.15,0:0.15,…
ai_vehicle_config.merge_rates.vehicle_heat_map.blocking_starting_merge_rate	How the AI merges back onto the racing line: blocking starting merge rate (inferred)	curve			413/413	path	@v2@minx:0,maxx:1,miny:0,maxy:10,0:0.1,0:0.1,0.…
ai_vehicle_config.merge_rates.vehicle_heat_map.celebration_merge_rate	How the AI merges back onto the racing line: celebration merge rate (inferred)	float		6	413/413	path	6
ai_vehicle_config.merge_rates.vehicle_heat_map.max_merge_rate	How the AI merges back onto the racing line: max merge rate (inferred)	float		5	413/413	path	5
ai_vehicle_config.merge_rates.vehicle_heat_map.max_merge_rate_for_Side_Swipe	How the AI merges back onto the racing line: max merge rate for side swipe (inferred)	float		1.5	413/413	path	1.5
ai_vehicle_config.merge_rates.vehicle_heat_map.max_merge_rate_for_drafting_ai	How the AI merges back onto the racing line: max merge rate for drafting ai (inferred)	float		1.5	413/413	path	1.5
ai_vehicle_config.merge_rates.vehicle_heat_map.max_merge_rate_for_drafting_human	How the AI merges back onto the racing line: max merge rate for drafting human (inferred)	float		2	413/413	path	2
ai_vehicle_config.merge_rates.vehicle_heat_map.space_seeking_merge_rate	How the AI merges back onto the racing line: space seeking merge rate (inferred)	float		4	413/413	path	4
ai_vehicle_config.merge_to_racing_line.end_offset	How the AI merges back onto the racing line: end offset (inferred)	float		0.2	413/413	path	0.2
ai_vehicle_config.merge_to_racing_line.inside_start_offset	How the AI merges back onto the racing line: inside start offset (inferred)	curve			413/413	path	@v2@minx:5,maxx:400,miny:0,maxy:2,0:0.5,0:0.475…
ai_vehicle_config.merge_to_racing_line.max_merge_dist	How the AI merges back onto the racing line: max merge dist (inferred)	float		150	413/413	path	150
ai_vehicle_config.merge_to_racing_line.merge_dist_mult	How the AI merges back onto the racing line: merge dist mult (inferred)	float	multiplier	1	413/413	path	1
ai_vehicle_config.merge_to_racing_line.min_merge_dist	How the AI merges back onto the racing line: min merge dist (inferred)	float		33	413/413	path	33
ai_vehicle_config.merge_to_racing_line.outside_start_offset	How the AI merges back onto the racing line: outside start offset (inferred)	curve			413/413	path	@v2@minx:5,maxx:400,miny:0,maxy:2,0:0.375,0:0.3…
ai_vehicle_config.merge_to_racing_line.rate_of_merge_in_cornor	How the AI merges back onto the racing line: rate of merge in cornor (inferred)	curve			413/413	path	@v2@minx:0,maxx:999,miny:0,maxy:1,0:1,0.0200200…
ai_vehicle_config.merge_to_racing_line.safty_car_pull_out_merge_dist	How the AI merges back onto the racing line: safty car pull out merge dist (inferred)	float		200	413/413	path	200
ai_vehicle_config.merge_to_racing_line.safty_car_pull_out_time	How the AI merges back onto the racing line: safty car pull out time (inferred)	float		15	413/413	path	15
ai_vehicle_config.overtake.dist_from_pit_fork_to_stay_on_correct_side	AI overtaking behaviour: dist from pit fork to stay on correct side (inferred)	float		300	413/413	path	300
ai_vehicle_config.overtake.divebomb_turned_in_radius	AI overtaking behaviour: divebomb turned in radius (inferred)	float		300	413/413	path	300
ai_vehicle_config.overtake.side_switch_time_requirement_graph	AI overtaking behaviour: side switch time requirement graph (inferred)	curve			413/413	path	@v2@minx:0,maxx:2,miny:0,maxy:1,0:0,0:0,0.15:0,…
ai_vehicle_config.overtake.speed_difference_buffer	AI overtaking behaviour: speed difference buffer (inferred)	curve			413/413	path	@v2@minx:0,maxx:50,miny:0,maxy:1,0:0,0:0,0.4518…
ai_vehicle_config.pedal_controller.lateral_traction_slip_angle_cut_in_proportion	AI steering, pedal and gearbox controller settings: lateral traction slip angle cut in proportion (inferred)	float		0.5	413/413	path	0.5
ai_vehicle_config.pedal_controller.lift_and_coast_thottle	AI steering, pedal and gearbox controller settings: lift and coast thottle (inferred)	curve			413/413	path	@v2@minx:0,maxx:100,miny:0,maxy:1,0:0.76,0:0.76…
ai_vehicle_config.pedal_controller.max_throttle_when_cruising	AI steering, pedal and gearbox controller settings: max throttle when cruising (inferred)	float		0.4	413/413	path	0.4
ai_vehicle_config.pedal_controller.spin_out_ramp_up_time	AI steering, pedal and gearbox controller settings: spin out ramp up time (inferred)	float		3.5	413/413	path	3.5
ai_vehicle_config.pedal_controller.track_speed_error_brake_scalar	AI steering, pedal and gearbox controller settings: track speed error brake scalar (inferred)	float	multiplier	0.2	413/413	path	0.2
ai_vehicle_config.physics_settings.turning_circle_speed_scalar	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: turning circle speed scalar (proven)	curve	multiplier		413/413	path	@v2@minx:0,maxx:100,miny:0,maxy:1,0:1,0:1,0.150…
ai_vehicle_config.race_start.first_gear_short_shift_scalar	AI launch behaviour at the race start: first gear short shift scalar (inferred)	curve	multiplier		413/413	path	@v2@minx:0,maxx:1,miny:0,maxy:1,0:0.1,0:0.5,0.0…
ai_vehicle_config.race_start.max_rpm	AI launch behaviour at the race start: max rpm (inferred)	float		13500..17200	413/413	path	17200 | 13500
ai_vehicle_config.race_start.min_rpm	AI launch behaviour at the race start: min rpm (inferred)	float		3800..8200	413/413	path	3800 | 8200
ai_vehicle_config.race_start.poor_traction_max_speed	AI launch behaviour at the race start: poor traction max speed (inferred)	float		92	413/413	path	92
ai_vehicle_config.race_start.race_start_time	AI launch behaviour at the race start: race start time (inferred)	float		4	413/413	path	4
ai_vehicle_config.race_start.random_to_traction_scalar_mod	AI launch behaviour at the race start: random to traction scalar mod (inferred)	curve			413/413	path	@v2@minx:0,maxx:1,miny:0,maxy:2,0:0,0:0.01,0.00…
ai_vehicle_config.race_start.random_to_traction_scalar_mod_wet	AI launch behaviour at the race start: random to traction scalar mod wet (inferred)	curve			413/413	path	@v2@minx:0,maxx:1,miny:0,maxy:3,0:0,0:0.1,0.02:…
ai_vehicle_config.race_start.rev_time_max	AI launch behaviour at the race start: rev time max (inferred)	float		3.7	413/413	path	3.7
ai_vehicle_config.race_start.rev_time_min	AI launch behaviour at the race start: rev time min (inferred)	float		0.2	413/413	path	0.2
ai_vehicle_config.race_start.second_gear_short_shift_scalar	AI launch behaviour at the race start: second gear short shift scalar (inferred)	curve	multiplier		413/413	path	@v2@minx:0,maxx:1,miny:0,maxy:1,0:0,0:0.6,0.01:…
ai_vehicle_config.retire.dist_to_finish_aligning_to_grid	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: dist to finish aligning to grid (proven)	float		50	413/413	path	50
ai_vehicle_config.retire.dist_to_start_aligning_to_grid	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: dist to start aligning to grid (proven)	float		200	413/413	path	200
ai_vehicle_config.retire.time_before_looking_for_retirement_gate	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: time before looking for retirement gate (proven)	float		5	413/413	path	5
ai_vehicle_config.speed_limit_settings.out_lap_distance_to_build_one_second_gap	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: out lap distance to build one second gap (proven)	float		1500	413/413	path	1500
ai_vehicle_config.speed_limit_settings.post_race_speed_limit	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: post race speed limit (proven)	float		111.76	413/413	path	111.76
ai_vehicle_config.speed_limit_settings.pre_retirement_speed_limit	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: pre retirement speed limit (proven)	float		30	413/413	path	30
ai_vehicle_config.speed_limit_settings.puncture_speed_limit	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: puncture speed limit (proven)	float		40	413/413	path	40
ai_vehicle_config.spinning_out.angle_to_track_to_mark_as_finished	AI spin behaviour: angle to track to mark as finished (inferred)	float		70	413/413	path	70
ai_vehicle_config.spinning_out.low_speed_to_mark_as_finished	AI spin behaviour: low speed to mark as finished (inferred)	float		10	413/413	path	10
ai_vehicle_config.spinning_out.recovery_speed	AI spin behaviour: recovery speed (inferred)	float		5	413/413	path	5
ai_vehicle_config.spinning_out.slide_angle_component	AI spin behaviour: slide angle component (inferred)	float		0.05	413/413	path	0.05
ai_vehicle_config.spinning_out.stopped_spinning_speed	AI spin behaviour: stopped spinning speed (inferred)	float		0.6	413/413	path	0.6
ai_vehicle_config.steering_controller.peak_slip_cut_in_angle	AI steering, pedal and gearbox controller settings: peak slip cut in angle (inferred)	float	degrees	3	413/413	path	3
ai_vehicle_config.steering_controller.peak_slip_cut_in_proportion	AI steering, pedal and gearbox controller settings: peak slip cut in proportion (inferred)	float		0.7	413/413	path	0.7
ai_vehicle_config.steering_controller.peak_slip_mulitplier_vehicle_alongside	AI steering, pedal and gearbox controller settings: peak slip mulitplier vehicle alongside (inferred)	float		1.5	413/413	path	1.5
ai_vehicle_config.steering_controller.peak_slip_multiplier_clear_either_side	AI steering, pedal and gearbox controller settings: peak slip multiplier clear either side (inferred)	float		1.2	413/413	path	1.2
ai_vehicle_config.steering_controller.peak_slip_smoothing_half_life	AI steering, pedal and gearbox controller settings: peak slip smoothing half life (inferred)	float		0.3	413/413	path	0.3
ai_vehicle_config.steering_controller.time_to_half_rotate_steering_wheel	AI steering, pedal and gearbox controller settings: time to half rotate steering wheel (inferred)	float		0.125	413/413	path	0.125
ai_vehicle_config.steering_pid_settings.derivative_gain	AI steering and throttle PID controller gains: derivative gain (inferred)	float		-0.5	413/413	path	-0.5
ai_vehicle_config.steering_pid_settings.derivative_limit	AI steering and throttle PID controller gains: derivative limit (inferred)	float		1	413/413	path	1
ai_vehicle_config.steering_pid_settings.input_smoothing_half_life	AI steering and throttle PID controller gains: input smoothing half life (inferred)	float		0.3	413/413	path	0.3
ai_vehicle_config.steering_pid_settings.integral_gain	AI steering and throttle PID controller gains: integral gain (inferred)	float		-1	413/413	path	-1
ai_vehicle_config.steering_pid_settings.integral_limit	AI steering and throttle PID controller gains: integral limit (inferred)	float		1	413/413	path	1
ai_vehicle_config.steering_pid_settings.output_smoothing_half_life	AI steering and throttle PID controller gains: output smoothing half life (inferred)	float		0.3	413/413	path	0.3
ai_vehicle_config.steering_pid_settings.proportional_gain	AI steering and throttle PID controller gains: proportional gain (inferred)	float		-2	413/413	path	-2
ai_vehicle_config.steering_pid_settings.proportional_limit	AI steering and throttle PID controller gains: proportional limit (inferred)	float		1	413/413	path	1
ai_vehicle_config.steering_pid_settings.result_limit	AI steering and throttle PID controller gains: result limit (inferred)	float		100	413/413	path	100
ai_vehicle_config.swerve.max_num_swerves	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: max num swerves (proven)	int		6	413/413	path	6
ai_vehicle_config.swerve.max_time_between_swerves	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: max time between swerves (proven)	float		8	413/413	path	8
ai_vehicle_config.swerve.min_num_swerves	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: min num swerves (proven)	int		4	413/413	path	4
ai_vehicle_config.swerve.min_time_between_swerves	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: min time between swerves (proven)	float		3	413/413	path	3
ai_vehicle_config.swerve.swerve_length	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: swerve length (proven)	float		2	413/413	path	2
ai_vehicle_config.swerve.swerve_speed_cap_dry	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: swerve speed cap dry (proven)	float		160	413/413	path	160
ai_vehicle_config.swerve.swerve_speed_cap_wet	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: swerve speed cap wet (proven)	float		0	413/413	path	0.0
ai_vehicle_config.swerve.swerve_width	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: swerve width (proven)	float		0.6	413/413	path	0.6
ai_vehicle_config.throttle_pid_settings.derivative_gain	AI steering and throttle PID controller gains: derivative gain (inferred)	float		0	413/413	path	0.0
ai_vehicle_config.throttle_pid_settings.derivative_limit	AI steering and throttle PID controller gains: derivative limit (inferred)	float		0	413/413	path	0.0
ai_vehicle_config.throttle_pid_settings.integral_gain	AI steering and throttle PID controller gains: integral gain (inferred)	float		1	413/413	path	1
ai_vehicle_config.throttle_pid_settings.integral_limit	AI steering and throttle PID controller gains: integral limit (inferred)	float		1	413/413	path	1
ai_vehicle_config.throttle_pid_settings.proportional_gain	AI steering and throttle PID controller gains: proportional gain (inferred)	float		3	413/413	path	3
ai_vehicle_config.throttle_pid_settings.proportional_limit	AI steering and throttle PID controller gains: proportional limit (inferred)	float		0.3334	413/413	path	0.3334
ai_vehicle_config.throttle_pid_settings.result_limit	AI steering and throttle PID controller gains: result limit (inferred)	float		1	413/413	path	1
ai_vehicle_config.traction_control.grip_atc_strength	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: grip atc strength (proven)	curve			413/413	path	@v2@minx:0,maxx:1,miny:0,maxy:1,0:1,0:1,0.1:1,0… | @v2@minx:0,maxx:1,miny:0,maxy:1,0:0.84,0:0.84,0… | @v2@minx:0,maxx:1,miny:0,maxy:1,0:0.53,0:0.53,0…
ai_vehicle_config.traction_control.peak_slip_factor	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: peak slip factor (proven)	curve	multiplier		413/413	path	@v2@minx:0,maxx:1000,miny:0,maxy:3,0:0.2666667,… | @v2@minx:0,maxx:1000,miny:0,maxy:3,0:0.25,0:0.2…
ai_vehicle_config.traction_control.radius_atc_strength_scalar	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: radius atc strength scalar (proven)	curve	multiplier		413/413	path	@v2@minx:0,maxx:1000,miny:0,maxy:1,0:1,0:1,0.35…
ai_vehicle_config.traction_control.throttle_fallibility_scalar	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: throttle fallibility scalar (proven)	curve	multiplier		413/413	path	@v2@minx:0,maxx:1,miny:0,maxy:1,0:1,0:1,0.15527…
ai_vehicle_config.trailbraking.braking_effectiveness_start_radius	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: braking effectiveness start radius (proven)	float		500	413/413	path	500
ai_vehicle_config.trailbraking.gradient_braking_modifier_dry	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: gradient braking modifier dry (proven)	curve			413/413	path	@v2@minx:-20,maxx:20,miny:0,maxy:2,0:0.655,0:0.… | @v2@minx:-20,maxx:20,miny:0,maxy:2,0:0.575,0:0.…
ai_vehicle_config.trailbraking.gradient_braking_modifier_wet	AI driving behaviour for this car; 202 of the 218 keys are read at startup and a missing one crashes: gradient braking modifier wet (proven)	curve			413/413	path	@v2@minx:-20,maxx:20,miny:0,maxy:2,0:0.7,0:0.7,… | @v2@minx:-20,maxx:20,miny:0,maxy:2,0:0.705,0:0.… | @v2@minx:-20,maxx:20,miny:0,maxy:2,0:0.575,0:0.…
ai_vehicle_config.under_safety_car.delta_pace_high_speed_point	AI behaviour under the safety car: delta pace high speed point (inferred)	float		5.5	413/413	path	5.5
ai_vehicle_config.under_safety_car.delta_pace_low_speed_point	AI behaviour under the safety car: delta pace low speed point (inferred)	float		0	413/413	path	0.0
ai_vehicle_config.under_safety_car.delta_pace_time_adjustment	AI behaviour under the safety car: delta pace time adjustment (inferred)	float		0.5	413/413	path	0.5
ai_vehicle_config.under_safety_car.large_follow_gap	AI behaviour under the safety car: large follow gap (inferred)	curve			413/413	path	@v2@minx:0,maxx:100,miny:0,maxy:30,0:0.1666667,…
ai_vehicle_config.under_safety_car.small_follow_gap	AI behaviour under the safety car: small follow gap (inferred)	curve			413/413	path	@v2@minx:0,maxx:100,miny:0,maxy:30,0:0.08333334…
ai_vehicle_config.yielding.closing_too_fast_to_yield_speed	AI yielding to cars on a different strategy or lap: closing too fast to yield speed (inferred)	float		11.176	413/413	path	11.1760
ai_vehicle_config.yielding.distance_to_force_side	AI yielding to cars on a different strategy or lap: distance to force side (inferred)	float		400	413/413	path	400
ai_vehicle_config.yielding.distance_to_pick_side	AI yielding to cars on a different strategy or lap: distance to pick side (inferred)	float		750	413/413	path	750
ai_vehicle_config.yielding.pit_slow_down_distance	AI yielding to cars on a different strategy or lap: pit slow down distance (inferred)	float		300	413/413	path	300.0000
ai_vehicle_config.yielding.pit_start_yield_speed	AI yielding to cars on a different strategy or lap: pit start yield speed (inferred)	float		111.76	413/413	path	111.76
ai_vehicle_config.yielding.pit_yield_speed	AI yielding to cars on a different strategy or lap: pit yield speed (inferred)	float		20.1168	413/413	path	20.1168
animation_set	Label of a row in entrants.entrant_lists.entrant_list_N (inferred)	id			413/413	leaf	| f2_2025 | f2_2026
asset_filename	Car model and livery folder name (inferred)	string			413/413	leaf	safety_car | c_classic_car | fom_car
available	Availability flag; every team and vehicle row ships False and the game sets it at startup (proven)	bool		False	413/413	leaf	False
can_use_hero_shots	Flag: can use hero shots (inferred)	bool		False, True	413/413	leaf	False | True
chassis_name	Chassis name (inferred)	string			413/413	leaf	| lng_forceindia_chassis | lng_haas_chassis
dial_max	Dial max (inferred)	float		0	413/413	leaf	0.0
dial_min	Dial min (inferred)	float		0	413/413	leaf	0
display_description	Localisation key of the description text (inferred)	string			413/413	leaf	lng_vehicle_f1_2019_safety_car_desc | lng_vehicle_classic_car_desc | lng_vehicle_f1_2019_generic_car_desc
display_name	Localisation key of the name shown in menus (inferred)	string			413/413	leaf	lng_vehicle_f1_2019_safety_car | lng_classic_car_name | lng_fom_test
drs_capable	Whether the car has DRS (inferred)	bool		False, True	413/413	leaf	False | True
engine	Engine supplier (inferred)	id			413/413	leaf	Mercedes | classic_car | Ferrari
engine_name_override	Engine name override (inferred)	string			413/413	leaf	| lng_engine_supplier_mercedes | lng_engine_mercedes_amg
equal_performance_vehicle	Car used instead in equal-performance mode (inferred)	id			413/413	leaf	| fom_car | fom_car_2024
garage_offset_X	Position offset of the car in the garage: garage offset X (inferred)	float	m	-0.162..0.115	413/413	leaf	0.009000003 | 0.014 | -0.07699999
garage_offset_Y	Position offset of the car in the garage: garage offset Y (inferred)	float	m	-0.033..0.162	413/413	leaf	0.08000004 | -0.001999974 | 0.05800003
hud_dial	Hud dial (inferred)	enum		26, f2, modern	413/413	leaf	modern | f2 | 26
lcd_digit_name	Lcd digit name (inferred)	string			413/413	leaf
lcd_template_name	Lcd template name (inferred)	string			413/413	leaf
performance_class	Car class used by the Grand Prix candidate filter (0 = current F1) (proven)	int		0..3	413/413	leaf	0 | 1 | 3
performance_tier	Performance tier (inferred)	int		0..2	413/413	leaf	0 | 2 | 1
pitstop_tyre_set	Pitstop tyre set (inferred)	enum		F1, F2, cls2	413/413	leaf	F1 | cls2 | F2
safety_car_type	Flag: safety car type (inferred)	bool		False, True	413/413	leaf	True | False
stat_id	Numeric id of the row, unique in its table; the game keys runtime maps on it (proven)	int		9..508	413/413	leaf	24 | 32 | 9
steering_animation_name	Driver steering animation set (inferred)	string			413/413	leaf	| c_classic_car | fom
tyre_wear_scale	Tyre wear multiplier of the car (inferred)	float	multiplier	0.94..1.3	413/413	leaf	1.0 | 1.3 | 1.02
vehicle_lock	Vehicle lock (inferred)	id			413/413	leaf
vehicle_package	Vehicle package (car generation) of the car (inferred)	id			413/413	leaf	f1_safety_car | f1_classic | f1_2024

entrants.vehicles.vehicle_customisations.vehicle_customisation_N

69 rows, _instancecount_ 69.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			69/69	leaf	test_customisation | arron_barnes | martin_giles
customisation_vehicle	Label of a row in options_system.restrictions.restrictions_folder_N.restrictions_N (inferred)	id			69/69	leaf	2025 | 2026
decal_placement_file	Label of a row in customisation.decal_customisation_system.decal_placement_files.DecalPlacementFile_N (inferred)	id			69/69	leaf	| seren | kompass
default_livery	Label of a row in customisation.custom_liveries.liveries.Livery_N (inferred)	id			69/69	leaf	livery_titlesponsor_livery32 | livery_titlesponsor_livery15 | livery_titlesponsor_livery10
driver_number_back	Label of a row in customisation.custom_driver_numbers.driver_numbers.DriverNumber_N (inferred)	id			69/69	leaf	DriverNumber10 | | DriverNumber00
driver_number_back_colour_1	Driver number back colour (inferred)	t11	ARGB	-16777216..-1	69/69	leaf	| -16777216 | -1
driver_number_back_colour_2	Driver number back colour (inferred)	t11	ARGB	-16777216..-1	69/69	leaf	| -16777216 | -1
driver_number_back_colour_3	Driver number back colour (inferred)	t11	ARGB	-765615..-1	69/69	leaf	| -1 | -765615
driver_number_front	Label of a row in customisation.custom_driver_numbers.driver_numbers.DriverNumber_N (inferred)	id			69/69	leaf	DriverNumber10 | | DriverNumber00
driver_number_front_colour_1	Driver number front colour (inferred)	t11	ARGB	-16777216..-1	69/69	leaf	| -1 | -16777216
driver_number_front_colour_2	Driver number front colour (inferred)	t11	ARGB	-16777216..-1	69/69	leaf	| -1 | -16777216
driver_number_front_colour_3	Driver number front colour (inferred)	t11	ARGB	-4943353..-1	69/69	leaf	| -1 | -765615
livery_colour_1	Livery colour (inferred)	t11	ARGB	-16777216..-1	69/69	leaf	-7405377 | -855310 | -1
livery_colour_2	Livery colour (inferred)	t11	ARGB	-16777216..-1	69/69	leaf	-6686465 | -51401 | -12994664
livery_colour_3	Livery colour (inferred)	t11	ARGB	-16777216..-1	69/69	leaf	-1 | -12648335 | -5723992
livery_finish_1	Label of a row in customisation.custom_paint_finishes.paint_finish_N (inferred)	id			69/69	leaf	gloss | satin | metallic
livery_finish_2	Label of a row in customisation.custom_paint_finishes.paint_finish_N (inferred)	id			69/69	leaf	gloss | metallic | satin
livery_finish_3	Label of a row in customisation.custom_paint_finishes.paint_finish_N (inferred)	id			69/69	leaf	gloss | metallic | satin
stat_id	Numeric id of the row, unique in its table; the game keys runtime maps on it (proven)	int		0..68	69/69	leaf	0 | 1 | 2

entrants.vehicles.vehicle_packages.vehicle_package_N

43 rows, _instancecount_ 43.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			43/43	leaf	f1_classic | f1_safety_car | f1_2024_beta
ai_package_folder	Label of a row in car_setup.presets.vehicle_package_setups_N (inferred)	string			43/43	leaf	f1_classic_vehicle_package | f1_safetycar_package | f1_2024_beta_vehicle_package
ai_vehicle_package_config.driver_parameter_maps.alongside_awareness.characteristic	Ai vehicle package config driver parameter maps alongside awareness characteristic (inferred)	enum		control	43/43	leaf	control
ai_vehicle_package_config.driver_parameter_maps.alongside_awareness.high_difficulty_high_characteristic_mapping	Ai vehicle package config driver parameter maps alongside awareness high difficulty high characteristic mapping (inferred)	float		1	43/43	leaf	1
ai_vehicle_package_config.driver_parameter_maps.alongside_awareness.high_difficulty_low_characteristic_mapping	Ai vehicle package config driver parameter maps alongside awareness high difficulty low characteristic mapping (inferred)	float		1	43/43	leaf	1
ai_vehicle_package_config.driver_parameter_maps.alongside_awareness.low_difficulty_high_characteristic_mapping	Ai vehicle package config driver parameter maps alongside awareness low difficulty high characteristic mapping (inferred)	float		1	43/43	leaf	1
ai_vehicle_package_config.driver_parameter_maps.alongside_awareness.low_difficulty_low_characteristic_mapping	Ai vehicle package config driver parameter maps alongside awareness low difficulty low characteristic mapping (inferred)	float		1	43/43	leaf	1
ai_vehicle_package_config.driver_parameter_maps.alongside_space_factor.characteristic	Ai vehicle package config driver parameter maps alongside space factor characteristic (inferred)	enum		aggression	43/43	leaf	aggression
ai_vehicle_package_config.driver_parameter_maps.alongside_space_factor.high_difficulty_high_characteristic_mapping	Ai vehicle package config driver parameter maps alongside space factor high difficulty high characteristic mapping (inferred)	float		1	43/43	leaf	1
ai_vehicle_package_config.driver_parameter_maps.alongside_space_factor.high_difficulty_low_characteristic_mapping	Ai vehicle package config driver parameter maps alongside space factor high difficulty low characteristic mapping (inferred)	float		1.15	43/43	leaf	1.15
ai_vehicle_package_config.driver_parameter_maps.alongside_space_factor.low_difficulty_high_characteristic_mapping	Ai vehicle package config driver parameter maps alongside space factor low difficulty high characteristic mapping (inferred)	float		1.25	43/43	leaf	1.25
ai_vehicle_package_config.driver_parameter_maps.alongside_space_factor.low_difficulty_low_characteristic_mapping	Ai vehicle package config driver parameter maps alongside space factor low difficulty low characteristic mapping (inferred)	float		1.5	43/43	leaf	1.5
ai_vehicle_package_config.driver_parameter_maps.brake_off_time.characteristic	Ai vehicle package config driver parameter maps brake off time characteristic (inferred)	enum		control	43/43	leaf	control
ai_vehicle_package_config.driver_parameter_maps.brake_off_time.high_difficulty_high_characteristic_mapping	Ai vehicle package config driver parameter maps brake off time high difficulty high characteristic mapping (inferred)	float		0	43/43	leaf	0
ai_vehicle_package_config.driver_parameter_maps.brake_off_time.high_difficulty_low_characteristic_mapping	Ai vehicle package config driver parameter maps brake off time high difficulty low characteristic mapping (inferred)	float		0	43/43	leaf	0
ai_vehicle_package_config.driver_parameter_maps.brake_off_time.low_difficulty_high_characteristic_mapping	Ai vehicle package config driver parameter maps brake off time low difficulty high characteristic mapping (inferred)	float		0	43/43	leaf	0
ai_vehicle_package_config.driver_parameter_maps.brake_off_time.low_difficulty_low_characteristic_mapping	Ai vehicle package config driver parameter maps brake off time low difficulty low characteristic mapping (inferred)	float		0	43/43	leaf	0
ai_vehicle_package_config.driver_parameter_maps.braking_distance_factor.characteristic	Ai vehicle package config driver parameter maps braking distance factor characteristic (inferred)	enum		speed_in	43/43	leaf	speed_in
ai_vehicle_package_config.driver_parameter_maps.braking_distance_factor.high_difficulty_high_characteristic_mapping	Ai vehicle package config driver parameter maps braking distance factor high difficulty high characteristic mapping (inferred)	float		1	43/43	leaf	1
ai_vehicle_package_config.driver_parameter_maps.braking_distance_factor.high_difficulty_low_characteristic_mapping	Ai vehicle package config driver parameter maps braking distance factor high difficulty low characteristic mapping (inferred)	float		1.15..1.25	43/43	leaf	1.15 | 1.25
ai_vehicle_package_config.driver_parameter_maps.braking_distance_factor.low_difficulty_high_characteristic_mapping	Ai vehicle package config driver parameter maps braking distance factor low difficulty high characteristic mapping (inferred)	float		2.632..3.72	43/43	leaf	2.632 | 3.72
ai_vehicle_package_config.driver_parameter_maps.braking_distance_factor.low_difficulty_low_characteristic_mapping	Ai vehicle package config driver parameter maps braking distance factor low difficulty low characteristic mapping (inferred)	float		2.74..3.9	43/43	leaf	2.74 | 3.9
ai_vehicle_package_config.driver_parameter_maps.corner_curvature_factor.characteristic	Ai vehicle package config driver parameter maps corner curvature factor characteristic (inferred)	enum		speed_out	43/43	leaf	speed_out
ai_vehicle_package_config.driver_parameter_maps.corner_curvature_factor.high_difficulty_high_characteristic_mapping	Ai vehicle package config driver parameter maps corner curvature factor high difficulty high characteristic mapping (inferred)	float		1	43/43	leaf	1
ai_vehicle_package_config.driver_parameter_maps.corner_curvature_factor.high_difficulty_low_characteristic_mapping	Ai vehicle package config driver parameter maps corner curvature factor high difficulty low characteristic mapping (inferred)	float		0.92	43/43	leaf	0.92
ai_vehicle_package_config.driver_parameter_maps.corner_curvature_factor.low_difficulty_high_characteristic_mapping	Ai vehicle package config driver parameter maps corner curvature factor low difficulty high characteristic mapping (inferred)	float		0.644	43/43	leaf	0.644
ai_vehicle_package_config.driver_parameter_maps.corner_curvature_factor.low_difficulty_low_characteristic_mapping	Ai vehicle package config driver parameter maps corner curvature factor low difficulty low characteristic mapping (inferred)	float		0.5888	43/43	leaf	0.5888
ai_vehicle_package_config.driver_parameter_maps.follow_speed_factor.characteristic	Ai vehicle package config driver parameter maps follow speed factor characteristic (inferred)	enum		aggression	43/43	leaf	aggression
ai_vehicle_package_config.driver_parameter_maps.follow_speed_factor.high_difficulty_high_characteristic_mapping	Ai vehicle package config driver parameter maps follow speed factor high difficulty high characteristic mapping (inferred)	float		1	43/43	leaf	1
ai_vehicle_package_config.driver_parameter_maps.follow_speed_factor.high_difficulty_low_characteristic_mapping	Ai vehicle package config driver parameter maps follow speed factor high difficulty low characteristic mapping (inferred)	float		1.05	43/43	leaf	1.05
ai_vehicle_package_config.driver_parameter_maps.follow_speed_factor.low_difficulty_high_characteristic_mapping	Ai vehicle package config driver parameter maps follow speed factor low difficulty high characteristic mapping (inferred)	float		1.3	43/43	leaf	1.3
ai_vehicle_package_config.driver_parameter_maps.follow_speed_factor.low_difficulty_low_characteristic_mapping	Ai vehicle package config driver parameter maps follow speed factor low difficulty low characteristic mapping (inferred)	float		1.4	43/43	leaf	1.4
ai_vehicle_package_config.driver_parameter_maps.slide_confidence.characteristic	Ai vehicle package config driver parameter maps slide confidence characteristic (inferred)	enum		control	43/43	leaf	control
ai_vehicle_package_config.driver_parameter_maps.slide_confidence.high_difficulty_high_characteristic_mapping	Ai vehicle package config driver parameter maps slide confidence high difficulty high characteristic mapping (inferred)	float		1	43/43	leaf	1
ai_vehicle_package_config.driver_parameter_maps.slide_confidence.high_difficulty_low_characteristic_mapping	Ai vehicle package config driver parameter maps slide confidence high difficulty low characteristic mapping (inferred)	float		1	43/43	leaf	1
ai_vehicle_package_config.driver_parameter_maps.slide_confidence.low_difficulty_high_characteristic_mapping	Ai vehicle package config driver parameter maps slide confidence low difficulty high characteristic mapping (inferred)	float		1	43/43	leaf	1
ai_vehicle_package_config.driver_parameter_maps.slide_confidence.low_difficulty_low_characteristic_mapping	Ai vehicle package config driver parameter maps slide confidence low difficulty low characteristic mapping (inferred)	float		1	43/43	leaf	1
ai_vehicle_package_config.driver_parameter_maps.throttle_confidence.characteristic	Ai vehicle package config driver parameter maps throttle confidence characteristic (inferred)	enum		control	43/43	leaf	control
ai_vehicle_package_config.driver_parameter_maps.throttle_confidence.high_difficulty_high_characteristic_mapping	Ai vehicle package config driver parameter maps throttle confidence high difficulty high characteristic mapping (inferred)	float		1	43/43	leaf	1
ai_vehicle_package_config.driver_parameter_maps.throttle_confidence.high_difficulty_low_characteristic_mapping	Ai vehicle package config driver parameter maps throttle confidence high difficulty low characteristic mapping (inferred)	float		0.96..1	43/43	leaf	0.96 | 1
ai_vehicle_package_config.driver_parameter_maps.throttle_confidence.low_difficulty_high_characteristic_mapping	Ai vehicle package config driver parameter maps throttle confidence low difficulty high characteristic mapping (inferred)	float		0.86..1	43/43	leaf	0.86 | 1
ai_vehicle_package_config.driver_parameter_maps.throttle_confidence.low_difficulty_low_characteristic_mapping	Ai vehicle package config driver parameter maps throttle confidence low difficulty low characteristic mapping (inferred)	float		0.78..1	43/43	leaf	0.78 | 1
ai_vehicle_package_config.driver_parameter_maps.throttle_exit_fallibility.characteristic	Ai vehicle package config driver parameter maps throttle exit fallibility characteristic (inferred)	enum		control	43/43	leaf	control
ai_vehicle_package_config.driver_parameter_maps.throttle_exit_fallibility.high_difficulty_high_characteristic_mapping	Ai vehicle package config driver parameter maps throttle exit fallibility high difficulty high characteristic mapping (inferred)	float		0.75	43/43	leaf	0.75
ai_vehicle_package_config.driver_parameter_maps.throttle_exit_fallibility.high_difficulty_low_characteristic_mapping	Ai vehicle package config driver parameter maps throttle exit fallibility high difficulty low characteristic mapping (inferred)	float		1	43/43	leaf	1
ai_vehicle_package_config.driver_parameter_maps.throttle_exit_fallibility.low_difficulty_high_characteristic_mapping	Ai vehicle package config driver parameter maps throttle exit fallibility low difficulty high characteristic mapping (inferred)	float		0.75	43/43	leaf	0.75
ai_vehicle_package_config.driver_parameter_maps.throttle_exit_fallibility.low_difficulty_low_characteristic_mapping	Ai vehicle package config driver parameter maps throttle exit fallibility low difficulty low characteristic mapping (inferred)	float		1	43/43	leaf	1
ai_vehicle_package_config.driver_parameter_maps.throttle_on_time.characteristic	Ai vehicle package config driver parameter maps throttle on time characteristic (inferred)	enum		control	43/43	leaf	control
ai_vehicle_package_config.driver_parameter_maps.throttle_on_time.high_difficulty_high_characteristic_mapping	Ai vehicle package config driver parameter maps throttle on time high difficulty high characteristic mapping (inferred)	float		0	43/43	leaf	0
ai_vehicle_package_config.driver_parameter_maps.throttle_on_time.high_difficulty_low_characteristic_mapping	Ai vehicle package config driver parameter maps throttle on time high difficulty low characteristic mapping (inferred)	float		0.12..0.6	43/43	leaf	0.2 | 0.12 | 0.6
ai_vehicle_package_config.driver_parameter_maps.throttle_on_time.low_difficulty_high_characteristic_mapping	Ai vehicle package config driver parameter maps throttle on time low difficulty high characteristic mapping (inferred)	float		3.62..6.033	43/43	leaf	6.033 | 3.62
ai_vehicle_package_config.driver_parameter_maps.throttle_on_time.low_difficulty_low_characteristic_mapping	Ai vehicle package config driver parameter maps throttle on time low difficulty low characteristic mapping (inferred)	float		3.96..6.6	43/43	leaf	6.6 | 3.96
ai_vehicle_package_config.driver_parameter_maps.wet_weather_ability.characteristic	Ai vehicle package config driver parameter maps wet weather ability characteristic (inferred)	enum		control	43/43	leaf	control
ai_vehicle_package_config.driver_parameter_maps.wet_weather_ability.high_difficulty_high_characteristic_mapping	Ai vehicle package config driver parameter maps wet weather ability high difficulty high characteristic mapping (inferred)	float		1	43/43	leaf	1
ai_vehicle_package_config.driver_parameter_maps.wet_weather_ability.high_difficulty_low_characteristic_mapping	Ai vehicle package config driver parameter maps wet weather ability high difficulty low characteristic mapping (inferred)	float		1	43/43	leaf	1
ai_vehicle_package_config.driver_parameter_maps.wet_weather_ability.low_difficulty_high_characteristic_mapping	Ai vehicle package config driver parameter maps wet weather ability low difficulty high characteristic mapping (inferred)	float		1	43/43	leaf	1
ai_vehicle_package_config.driver_parameter_maps.wet_weather_ability.low_difficulty_low_characteristic_mapping	Ai vehicle package config driver parameter maps wet weather ability low difficulty low characteristic mapping (inferred)	float		1	43/43	leaf	1
available	Availability flag; every team and vehicle row ships False and the game sets it at startup (proven)	bool		False	43/43	leaf	False
blob_shadow_decal	Blob shadow decal (inferred)	string			43/43	leaf	eaid://f1_classic_vehicle_package/shared/ao/mat… | eaid://f1_safetycar_package/shared/ao/materials… | eaid://f1_2024_beta_vehicle_package/shared/ao/m…
crew_livery_asset_group	Crew livery asset group (inferred)	string			43/43	leaf	[ANIMATION_PACKAGE]/scenes/garagecrew/1980/crew… | | [ANIMATION_PACKAGE]/scenes/garagecrew/2024/crew…
driver_animation_set	Label of a row in entrants.entrant_lists.entrant_list_N (inferred)	id			43/43	leaf	| f1_2024 | f1_2023
garage_asset_group	Garage asset group (inferred)	string			43/43	leaf	[ANIMATION_PACKAGE]/scenes/garagecrew/1980/gara… | | [ANIMATION_PACKAGE]/scenes/garagecrew/2024/gara…
has_cockpit_halo	Flag: has cockpit halo (inferred)	bool		False, True	43/43	leaf	False | True
is_26_aero_regulations	Flag: is 26 aero regulations (inferred)	bool		False, True	43/43	leaf	False | True
is_equal_performance_vehicle_package	Flag: is equal performance vehicle package (inferred)	bool		False, True	43/43	leaf	False | True
is_story_vehicle_package	Flag: is story vehicle package (inferred)	bool		False, True	43/43	leaf	False | True
pit_stop_asset_group	Pit stop asset group (inferred)	string			43/43	leaf	[ANIMATION_PACKAGE]/scenes/pitstops/1980/pitstop | | [ANIMATION_PACKAGE]/scenes/pitstops/f1/pitstop_…
pit_wall_asset_group	Pit wall asset group (inferred)	string			43/43	leaf	| [ANIMATION_PACKAGE]/scenes/pitwall/f1/pitwall_24 | [ANIMATION_PACKAGE]/scenes/pitwall/f1/pitwall_23
resource_path	Resource path (inferred)	string			43/43	leaf	f1_classic_vehicle_package/teams/[FILENAME]/wep… | f1_safetycar_package/[FILENAME]/wep/[FILENAME] | f1_2024_beta_vehicle_package/teams/[FILENAME]/w…
resource_path_specialisation	Resource path specialisation (inferred)	string			43/43	leaf	| f2_2023_vehicle_package/teams/[SPECIALISATION]/… | f2_2024_vehicle_package/teams/[SPECIALISATION]/…
stat_id	Numeric id of the row, unique in its table; the game keys runtime maps on it (proven)	int		2..58	43/43	leaf	2 | 3 | 6
tyre_compounds_asset_group	Tyre compounds asset group (inferred)	string			43/43	leaf	f1_classic_vehicle_package/tyrecompounds/tyreco… | f1_safetycar_package/tyrecompounds/tyrecompounds | f1_2024_beta_vehicle_package/tyrecompounds/tyre…

entrants.vehicles.vehicle_specialisations.decal_nodes.vehicle_decal_node_group_N

1 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			1/1	leaf	f2_car
nodes	List of nodes (inferred)	list			1/1	leaf	driver_a_decal,driver_b_decal,driver_name_a_dec…
stat_id	Numeric id of the row, unique in its table; the game keys runtime maps on it (proven)	int		0	1/1	leaf	0

entrants.vehicles.vehicle_specialisations.vehicle_specialisation_group_N

4 rows, _instancecount_ 4.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			4/4	leaf	f2_2023 | f2_2024 | f2_2025
_vehicle_specialisation_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	44	4/4		44

entrants.vehicles.vehicle_specialisations.vehicle_specialisation_group_N.vehicle_specialisation_N

176 rows, _instancecount_ 44.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			176/176	leaf	frederik_vesti | oliver_bearman | jack_doohan
decal_group	Decal group (inferred)	id			176/176	leaf	f2_car
decal_nodes	List of decal nodes (inferred)	list			176/176	leaf	driver_a_decal,driver_name_a_decal | driver_b_decal,driver_name_b_decal | driver_a_decal
driver	Label of a row in entrants.drivers.driver_N (inferred)	id			176/176	leaf	frederik_vesti | oliver_bearman | jack_doohan
file_name	File name (inferred)	string			176/176	leaf	prema | virtuosiracing | carlin
livery	Label of a row in unlockable_content.unlockable_items.unlockable_item_list_N.folder_N.unlockable_livery_N (inferred)	id			176/176	leaf	Livery01
stat_id	Numeric id of the row, unique in its table; the game keys runtime maps on it (proven)	int		0..175	176/176	leaf	132 | 133 | 134
team	Label of a row in entrants.teams.team_N (inferred)	id			176/176	leaf	prema_23 | virtuosi_23 | carlin_23
team_position	Team position (inferred)	int		0..1	176/176	leaf	0 | 1
vehicle	Label of a row in entrants.vehicles.vehicle_N (inferred)	id			176/176	leaf	f2_car_23 | f2_car_24 | f2_car_25
vehicle_package_override	Label of a row in entrants.entrant_lists.entrant_list_N (inferred)	id			176/176	leaf	f2_2023 | f2_2024 | f2_2025

Content sets

content_sets.content_set_N

16 rows, _instancecount_ 16.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_available_attributes_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	3/16		1
_available_entrant_lists_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	5/16		1
_available_f1_world_goal_vendors_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	3/16		1
_available_formula_classes_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	2/16		1
_available_game_modes_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	9/16		1
_available_game_setup_modes_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	7/16		1
_available_languages_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	2/16		1
_available_meta_modes_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	6/16		1
_available_mods_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	3/16		1
_available_speech_languages_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	3/16		1
_available_themes_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	3/16		1
_available_tracks_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	12/16		1
_department_event_overrides_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	3/16		1
_driver_animation_set_override_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	1/16		1
_entrant_list_override_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1..2	3/16		2 | 1
_entrant_specialisation_sets_override_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	4/16		1
_equal_performance_vehicle_package_override_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	3/16		1
_facilities_override_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	3/16		1
_feature_list_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	10/16		1
_frontend_scene_group_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	7/16		1
_game_setup_mode_override_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	1/16		1
_ignore_audio_engine_bundles_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	1/16		1
_initial_tracks_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	5/16		1
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			16/16	leaf	2024 | 2024_beta | 2025_with_2024_vehicle_package_override
_official_entrant_list_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	3..6	3/16		3 | 6
_option_exclusion_tags_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	10/16		1
_option_restrictions_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	8/16		1
_placeholder_tracks_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	3/16		1
_random_livery_design_list_override_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	1/16		1
_service_labels_override_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	3/16		1
_sorted_track_order_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1..2	3/16		1 | 2
_track_layer_override_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	2/16		1
_tutorial_system_overrides_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	7/16		1
_tutorials_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	7/16		1
_unlockable_item_list_override_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	6/16		1
_vehicle_package_override_instancecount_	Row count of a nested table: the game reads rows 0 to count-1 and ignores the rest (proven)	int	rows	1	4/16		1
base_content_set	Label of a row in content_sets.content_set_N (inferred)	id			16/16	leaf	| 2024 | 2025

content_sets.content_set_N.available_attributes_N

3 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			3/3	leaf	available_attributes
attributes	Labels of rows in attributes.Attributes_N (inferred)	list			3/3	leaf	F1World,DriverCareer | F1World,StoryMode,DriverCareer,MyTeam

content_sets.content_set_N.available_entrant_lists_N

5 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			5/5	leaf	available_entrant_lists
entrant_lists	Labels of rows in entrants.entrant_lists.entrant_list_N (inferred)	list			5/5	leaf	f1_generic,f1_custom_team,f1_world,f1_2024_beta… | f1_generic,f1_custom_team,f1_2024_story_prologu… | f1_generic,f1_beta

content_sets.content_set_N.available_f1_world_goal_vendors_N

3 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			3/3	leaf	available_f1_world_goal_vendors
vendors	Labels of rows in f1_world.vendors.vendor_definitions.VendorDefinition_N (inferred)	list			3/3	leaf	DevelopmentDirector,CompetitionAnalyst,EventsMa…

content_sets.content_set_N.available_formula_classes_N

2 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			2/2	leaf	available_formula_classes
formula_class	Labels of rows in entrants.formula_classes.formula_class_N (inferred)	list			2/2	leaf	f1,f2,f3,f1_reserve_drivers,f1_sim_racers

content_sets.content_set_N.available_game_modes_N

9 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			9/9	leaf	available_game_modes
game_mode_championships	Labels of rows in game_modes.ModeChampionship_N (inferred)	list			9/9	leaf	online_custom,grand_prix_23,driver_career_24,ca… | online_custom,dev | online_custom,story_mode,grand_prix_23,my_team_…
game_mode_time_trials	Labels of rows in options_system.context.tag_folder_N.game_mode_tag_N (inferred)	list			9/9	leaf	time_trial | | solo_testing
game_modes	List of game modes (inferred)	list			9/9	leaf	benchmark,ModeChampionship | benchmark | benchmark,ModeTimeTrial

content_sets.content_set_N.available_game_setup_modes_N

7 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			7/7	leaf	available_game_setup_modes
setup_modes	Labels of rows in game_setup.game_setup_modes.game_setup_mode_N (inferred)	list			7/7	leaf	f1,f1_generic,f1_esports,f2,f1_world,f1_elimina… | f1,f1_beta | f1,f2,f1_generic,f1_esports,f1_world,f1_elimina…

content_sets.content_set_N.available_languages_N

2 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			2/2	leaf	available_languages

content_sets.content_set_N.available_meta_modes_N

6 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			6/6	leaf	available_meta_modes
meta_modes	Labels of rows in meta_modes.MetaMode_N (inferred)	list			6/6	leaf	F1World_24 | F1World_25 | F1World_25,F1Pro

content_sets.content_set_N.available_mods_N

3 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			3/3	leaf	available_mods
mods	Labels of rows in attributes.Attributes_N (inferred)	list			3/3	leaf	F1World,DriverCareer | F1World,DriverCareer,MyTeam

content_sets.content_set_N.available_speech_languages_N

3 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			3/3	leaf	available_speech_languages

content_sets.content_set_N.available_themes_N

3 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			3/3	leaf	available_themes
themes	Labels of rows in theming.theme_N (inferred)	list			3/3	leaf	| 2025,2025_season_2_a,2025_season_6_b,2025_seaso…

content_sets.content_set_N.available_tracks_N

12 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			12/12	leaf	available_tracks
tracks	Comma list of playable track ids in the content set (proven)	list			12/12	leaf	bahrain,jeddah,austria,hungaroring,spa_francorc… | bahrain,texas,brazil | melbourne,suzuka,austria,silverstone,spa_franco…

content_sets.content_set_N.department_event_overrides_N

3 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			3/3	leaf	department_event_overrides
department_events	Labels of rows in career.department_events.DepartmentEvents_N (inferred)	list			3/3	leaf	2021,2022_Common,2022_MyTeam,2022_Driver | 2021,2022_Common,2022_MyTeam,2022_Driver,2023_S…
target	Label of a row in career.department_events.DepartmentEventsSelection_N (inferred)	id			3/3	leaf	current_department_events_selection

content_sets.content_set_N.driver_animation_set_override_N

1 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			1/1	leaf	driver_animation_set_override
override	Override (inferred)	id			1/1	leaf	f1_beta
target	Target (inferred)	id			1/1	leaf	f1_2024

content_sets.content_set_N.entrant_list_override_N

4 rows, _instancecount_ 1-2.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			4/4	leaf	entrant_list_override
override_entrant_list	Label of a row in entrants.entrant_lists.entrant_list_N (inferred)	id			4/4	leaf	f1_2024_beta | f1_beta | f1_2025
target_entrant_list	Label of a row in entrants.entrant_lists.entrant_list_N (inferred)	id			4/4	leaf	f1_2024 | f1_custom_team | f1_generic

content_sets.content_set_N.entrant_specialisation_sets_override_N

4 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			4/4	leaf	entrant_specialisation_override | entrant_specialisation_sets_override
sets	Label of a row in entrants.entrant_specialisation.specialisation_sets_N (inferred)	id			4/4	leaf	2024 | 2023_beta | 2025

content_sets.content_set_N.equal_performance_vehicle_package_override_N

3 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			3/3	leaf	equal_performance_vehicle_package_override
override_vehicle_package	Label of a row in entrants.entrant_lists.entrant_list_N (inferred)	id			3/3	leaf	f1_2024_equal_performance | f1_2025_equal_performance
target_vehicle_package	Label of a row in entrants.entrant_lists.entrant_list_N (inferred)	id			3/3	leaf	f1_2024 | f1_2025

content_sets.content_set_N.facilities_override_N

3 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			3/3	leaf	facilities_override
facilities	Labels of rows in facilities.facilities.Facilities_N (inferred)	list			3/3	leaf	base,2022
target	Target (inferred)	id			3/3	leaf	current_facilities_selection

content_sets.content_set_N.feature_list_N

10 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			10/10	leaf	feature_list
f1cg	Flag: f1cg (inferred)	bool		False	10/10	leaf	False
iconic_drivers	Flag: iconic drivers (inferred)	bool		False, True	10/10	leaf	True | False
invitationals	Flag: invitationals (inferred)	bool		False	10/10	leaf	False
ir	Flag: ir (inferred)	bool		False	10/10	leaf	False
story_mode	Flag: story mode (inferred)	bool		False, True	10/10	leaf	False | True

content_sets.content_set_N.frontend_scene_group_N

7 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			7/7	leaf	frontend_scene_group
camera_scene_assets	Labels of rows in frontend_scene.scenes.camera_scenes.Camera_scene_N (inferred)	list			7/7	leaf	frontend_cameras,customisation_cameras,f1_world… | frontend_cameras,customisation_cameras,story_mo…
current_group	Label of a row in content_sets.content_set_N (inferred)	id			7/7	leaf	2024 | 2024_beta | 2025
target	Target (inferred)	id			7/7	leaf	camera_scene_selection

content_sets.content_set_N.game_setup_mode_override_N

1 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			1/1	leaf	game_setup_mode_override
override_game_setup_mode	Override game setup mode (inferred)	id			1/1	leaf	f1_esports
target_game_setup_mode	Target game setup mode (inferred)	id			1/1	leaf	f1

content_sets.content_set_N.ignore_audio_engine_bundles_N

1 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			1/1	leaf	ignore_audio_engine_bundles
ignore_bundle_settings	Labels of rows in audio.audio_bundle_settings.audio_bundle_settings_N (inferred)	list			1/1	leaf	mercedes_2024,honda_2024,ferrari_2024,renault_2…

content_sets.content_set_N.initial_tracks_N

5 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			5/5	leaf	initial_tracks
tracks	Comma list of tracks unlocked at the start (inferred)	list			5/5	leaf	melbourne | hungaroring | suzuka

content_sets.content_set_N.official_entrant_list_N

12 rows, _instancecount_ 3-6.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			12/12	leaf	f1_official_career_entrant_list | f2_official_career_entrant_list | icons_entrant_list
entrant_list	Label of a row in entrants.entrant_lists.entrant_list_N (inferred)	id			12/12	leaf	f1_2024 | career_f2_2023_for_f1_2024 | f1_career_2024_driver_pool
name	Name (inferred)	string			12/12	leaf	F1CAREER | F2CAREER | ICONS

content_sets.content_set_N.option_exclusion_tags_N

10 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			10/10	leaf	option_exclusion_tags | tag_restrictions
exclusion_tag	Labels of rows in options_system.context.tag_folder_N.general_tag_N (inferred)	list			10/10	leaf	hide_for_product_non_pro | hide_for_beta,hide_for_product_non_pro | hide_for_product_pro

content_sets.content_set_N.option_restrictions_N

8 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			8/8	leaf	option_restrictions
restriction	Labels of rows in options_system.restrictions.restrictions_folder_N.restrictions_N (inferred)	list			8/8	leaf	2024 | beta | 2025

content_sets.content_set_N.placeholder_tracks_N

3 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			3/3	leaf	placeholder_tracks
tracks	List of tracks (inferred)	list			3/3	leaf

content_sets.content_set_N.random_livery_design_list_override_N

1 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			1/1	leaf	random_livery_design_list_override
random_livery_design_list_override	Random livery design list override (inferred)	id			1/1	leaf	beta

content_sets.content_set_N.service_labels_override_N

3 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			3/3	leaf	service_labels_override
service_label_overrides	Service label overrides (inferred)	id			3/3	leaf	service_labels_group_2023

content_sets.content_set_N.sorted_track_order_N

4 rows, _instancecount_ 1-2.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			4/4	leaf	sorted_track_order | sorted_track_order_dlc
track_order	Label of a row in track_data.sorted_track_order.sorted_track_order_N (inferred)	id			4/4	leaf	default_sorted_track_order | default_sorted_track_order_dlc

content_sets.content_set_N.track_layer_override_N

2 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			2/2	leaf	track_layer_override
override	Label of a row in entrants.entrant_lists.entrant_list_N (inferred)	id			2/2	leaf	classic
target	Label of a row in track_data.game_setup.TrackDataSet_N (inferred)	id			2/2	leaf	f1

content_sets.content_set_N.tutorial_system_overrides_N

7 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			7/7	leaf	tutorial_system_overrides | tutorial
enabled	Flag: enabled (inferred)	bool		False, True	7/7	leaf	True | False

content_sets.content_set_N.tutorials_N

7 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			7/7	leaf	tutorials
enabled_tutorials	Labels of rows in tutorials.tutorial_N (inferred)	list			7/7	leaf	track_acclimatisation,tyre_selection,practice_s… |

content_sets.content_set_N.unlockable_item_list_override_N

6 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			6/6	leaf	unlockable_item_list_override | unlockkable_item_list_override
override_item_list	Label of a row in options_system.restrictions.restrictions_folder_N.restrictions_N (inferred)	id			6/6	leaf	2024 | beta | 2025

content_sets.content_set_N.vehicle_package_override_N

4 rows, _instancecount_ 1.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			4/4	leaf	vehicle_package_override
override_vehicle_package	Label of a row in entrants.vehicles.vehicle_packages.vehicle_package_N (inferred)	id			4/4	leaf	f1_2024_beta | f1_2024 | f1_2023_pro
target_vehicle_package	Label of a row in entrants.entrant_lists.entrant_list_N (inferred)	id			4/4	leaf	f1_2024 | f1_2025

Pit lane

pit_lane.pit_times.team_pit_times_N

10 rows, _instancecount_ 10.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			10/10	leaf	mercedes | ferrari | redbull
max_pit_time	Max pit time (inferred)	float		2.5..3	10/10	leaf	2.8 | 2.55 | 2.5
max_pit_time_fully_upgraded	Max pit time fully upgraded (inferred)	float		1.9..2.25	10/10	leaf	2.15 | 1.95 | 1.9
min_pit_time	Min pit time (inferred)	float		2.25..2.65	10/10	leaf	2.55 | 2.4 | 2.35
min_pit_time_fully_upgraded	Min pit time fully upgraded (inferred)	float		1.82..2.1	10/10	leaf	1.95 | 1.9 | 1.82
team	Label of a row in entrants.teams.team_N (inferred)	id			10/10	leaf	mercedes | ferrari | redbull

pit_lane.spline_generation.track_spline_generation_N

45 rows, _instancecount_ 45.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			45/45	leaf	abu_dhabi | austria | bahrain
box_entry_distance_multiplier	Box entry distance multiplier (inferred)	float	multiplier	2.15..5.3	45/45	leaf	3.12 | 3.7 | 3.19
box_entry_normal_interpolatation_first	Box entry normal interpolatation first (inferred)	float		0.145..0.811	45/45	leaf	0.618 | 0.666 | 0.71
box_entry_normal_interpolatation_second	Box entry normal interpolatation second (inferred)	float		0.07..0.814	45/45	leaf	0.319 | 0.237 | 0.3464
box_entry_normal_interpolatation_third	Box entry normal interpolatation third (inferred)	float		0..0.4	45/45	leaf	0.07300001 | 0 | 0.126
box_entry_normal_multiplier	Box entry normal multiplier (inferred)	float	multiplier	5..20	45/45	leaf	12.94 | 20 | 10.78
box_entry_pull_through_proportion_first	Box entry pull through proportion first (inferred)	float		0.091..0.479	45/45	leaf	0.11 | 0.448 | 0.155
box_entry_pull_through_proportion_second	Box entry pull through proportion second (inferred)	float		0.148..0.423	45/45	leaf	0.36 | 0.23 | 0.401
box_exit_max_box_id_that_can_pull_through	Box exit max box id that can pull through (inferred)	int		9..10	45/45	leaf	10 | 9
box_exit_normal_hold_line_distance_multiplier	Box exit normal hold line distance multiplier (inferred)	float	multiplier	1.29..5.46	45/45	leaf	1.7 | 1.9 | 2.18
box_exit_normal_intermediate_spline_knot_proportion	Box exit normal intermediate spline knot proportion (inferred)	float		0.136..0.331	45/45	leaf	0.202 | 0.215 | 0.196
box_exit_normal_max_hold_distance	Box exit normal max hold distance (inferred)	float		16.1..69.7	45/45	leaf	40.0 | 18.6 | 39.1
box_exit_pull_through_hold_line_distance_multiplier	Box exit pull through hold line distance multiplier (inferred)	float	multiplier	2.24..5.55	45/45	leaf	3.63 | 4 | 4.35
box_exit_pull_through_intermediate_spline_knot_proportion	Box exit pull through intermediate spline knot proportion (inferred)	float		0.129..0.312	45/45	leaf	0.2 | 0.129 | 0.211
box_exit_pull_through_max_hold_distance	Box exit pull through max hold distance (inferred)	float		20..50.8	45/45	leaf	40 | 37.2 | 50.8
garage_order_reversed	Flag: garage order reversed (inferred)	bool		False, True	45/45	leaf	False | True
queue_distance	Queue distance (inferred)	float		7.518..8.96	45/45	leaf	8.96 | 7.518

pit_lane.track_slide_settings_N

43 rows, _instancecount_ 43.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			43/43	leaf	austria | baku | catalunya
begin_slide	Begin slide (inferred)	float		0.75	43/43	leaf	0.75
chance	Chance (inferred)	float		0	43/43	leaf	0.0
end_slide	End slide (inferred)	float		1.4	43/43	leaf	1.4
max_degrees	Max degrees (inferred)	float	degrees	0..10	43/43	leaf	10 | 0
min_degrees	Min degrees (inferred)	float	degrees	0..0.01	43/43	leaf	0.01 | 0
peak_slide	Peak slide (inferred)	float		0.92	43/43	leaf	0.92

Canned events

canned_events.Per-race DNFs.Per-race DNF_N

44 rows, _instancecount_ 44.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
Accidents.SideSwipe.max_grip_threshold	Accidents side swipe max grip threshold (inferred)	float		0.99	44/44	leaf	0.99
Accidents.SideSwipe.maximum	Accidents side swipe maximum (inferred)	int		0	44/44	leaf	0
Accidents.SideSwipe.min_grip_threshold	Accidents side swipe min grip threshold (inferred)	float		0.81	44/44	leaf	0.81
Accidents.SideSwipe.minimum	Accidents side swipe minimum (inferred)	int		0	44/44	leaf	0
Accidents.SpinOut.max_grip_threshold	Accidents spin out max grip threshold (inferred)	float		0.99	44/44	leaf	0.99
Accidents.SpinOut.maximum	Accidents spin out maximum (inferred)	int		6..7	44/44	leaf	6 | 7
Accidents.SpinOut.min_grip_threshold	Accidents spin out min grip threshold (inferred)	float		0.81	44/44	leaf	0.81
Accidents.SpinOut.minimum	Accidents spin out minimum (inferred)	int		0..1	44/44	leaf	1 | 0
Failures.maximum	Failures maximum (inferred)	int		3	44/44	path	3
Failures.minimum	Failures minimum (inferred)	int		0..2	44/44	path	1 | 0 | 2
Faults.DRS.generationChance	Faults DRS generation chance (inferred)	float		1	44/44	leaf	1
Faults.DRS.maximum	Faults DRS maximum (inferred)	int		0	44/44	leaf	0
Faults.DRS.maximumDuration	Faults DRS maximum duration (inferred)	float	s	3	44/44	leaf	3
Faults.DRS.minimum	Faults DRS minimum (inferred)	int		0	44/44	leaf	0
Faults.DRS.minimumDuration	Faults DRS minimum duration (inferred)	float	s	1	44/44	leaf	1
Faults.ERS.generationChance	Faults ERS generation chance (inferred)	float		1	44/44	leaf	1
Faults.ERS.maximum	Faults ERS maximum (inferred)	int		0	44/44	leaf	0
Faults.ERS.maximumDuration	Faults ERS maximum duration (inferred)	float	s	3	44/44	leaf	3
Faults.ERS.minimum	Faults ERS minimum (inferred)	int		0	44/44	leaf	0
Faults.ERS.minimumDuration	Faults ERS minimum duration (inferred)	float	s	1	44/44	leaf	1
Faults.Engine.generationChance	Faults engine generation chance (inferred)	float		1	44/44	leaf	1
Faults.Engine.maximum	Faults engine maximum (inferred)	int		0..3	44/44	leaf	3 | 0
Faults.Engine.maximumDuration	Faults engine maximum duration (inferred)	float	s	8..10.5	44/44	leaf	10.5 | 8
Faults.Engine.minimum	Faults engine minimum (inferred)	int		0..1	44/44	leaf	0 | 1
Faults.Engine.minimumDuration	Faults engine minimum duration (inferred)	float	s	1.8	44/44	leaf	1.8
Faults.GearJammed.generationChance	Faults gear jammed generation chance (inferred)	float		1	44/44	leaf	1
Faults.GearJammed.maximum	Faults gear jammed maximum (inferred)	int		0	44/44	leaf	0
Faults.GearJammed.maximumDuration	Faults gear jammed maximum duration (inferred)	float	s	3	44/44	leaf	3
Faults.GearJammed.minimum	Faults gear jammed minimum (inferred)	int		0	44/44	leaf	0
Faults.GearJammed.minimumDuration	Faults gear jammed minimum duration (inferred)	float	s	1	44/44	leaf	1
Faults.Gearbox.generationChance	Faults gearbox generation chance (inferred)	float		1	44/44	leaf	1
Faults.Gearbox.maximum	Faults gearbox maximum (inferred)	int		0	44/44	leaf	0
Faults.Gearbox.maximumDuration	Faults gearbox maximum duration (inferred)	float	s	3	44/44	leaf	3
Faults.Gearbox.minimum	Faults gearbox minimum (inferred)	int		0	44/44	leaf	0
Faults.Gearbox.minimumDuration	Faults gearbox minimum duration (inferred)	float	s	1	44/44	leaf	1
Faults.MissingGear.generationChance	Faults missing gear generation chance (inferred)	float		1	44/44	leaf	1
Faults.MissingGear.maximum	Faults missing gear maximum (inferred)	int		0	44/44	leaf	0
Faults.MissingGear.maximumDuration	Faults missing gear maximum duration (inferred)	float	s	3	44/44	leaf	3
Faults.MissingGear.minimum	Faults missing gear minimum (inferred)	int		0	44/44	leaf	0
Faults.MissingGear.minimumDuration	Faults missing gear minimum duration (inferred)	float	s	1	44/44	leaf	1
Faults.Tyre.generationChance	Faults tyre generation chance (inferred)	float		0..1	44/44	leaf	0.1 | 0 | 0.33
Faults.Tyre.maximum	Faults tyre maximum (inferred)	int		0..3	44/44	leaf	1 | 0 | 3
Faults.Tyre.maximumDuration	Faults tyre maximum duration (inferred)	float	s	3	44/44	leaf	3
Faults.Tyre.minimum	Faults tyre minimum (inferred)	int		0..1	44/44	leaf	1 | 0
Faults.Tyre.minimumDuration	Faults tyre minimum duration (inferred)	float	s	3	44/44	leaf	3
LockUps.Dry.MaxDuration	Lock ups dry max duration (inferred)	float	s	1.3	44/44	leaf	1.3
LockUps.Dry.MinDuration	Lock ups dry min duration (inferred)	float	s	0.5	44/44	leaf	0.5
LockUps.Dry.Pressure.Chance	Lock ups dry pressure chance (inferred)	float		0.001..0.005	44/44	leaf	0.001 | 0.0015 | 0.005
LockUps.Dry.Pressure.Distance	Lock ups dry pressure distance (inferred)	float		16	44/44	leaf	16
LockUps.Dry.Pressure.FirstLapChance	Lock ups dry pressure first lap chance (inferred)	float		0.001	44/44	leaf	0.001
LockUps.Dry.Random.PracticeChance	Lock ups dry random practice chance (inferred)	float		0.001..0.002	44/44	leaf	0.002 | 0.001 | 0.0015
LockUps.Dry.Random.QualifyingChance	Lock ups dry random qualifying chance (inferred)	float		0.0005..0.001	44/44	leaf	0.001 | 0.0005 | 0.0006
LockUps.Dry.Random.RaceChance	Lock ups dry random race chance (inferred)	float		0..0.035	44/44	leaf	0.01 | 0.0 | 0.005
LockUps.Intermediate.MaxDuration	Lock ups intermediate max duration (inferred)	float	s	1.3	44/44	leaf	1.3
LockUps.Intermediate.MinDuration	Lock ups intermediate min duration (inferred)	float	s	0.5	44/44	leaf	0.5
LockUps.Intermediate.Pressure.Chance	Lock ups intermediate pressure chance (inferred)	float		0..0.007	44/44	leaf	0.0015 | 0.002 | 0.007
LockUps.Intermediate.Pressure.Distance	Lock ups intermediate pressure distance (inferred)	float		16	44/44	leaf	16
LockUps.Intermediate.Pressure.FirstLapChance	Lock ups intermediate pressure first lap chance (inferred)	float		0.001	44/44	leaf	0.001
LockUps.Intermediate.Random.PracticeChance	Lock ups intermediate random practice chance (inferred)	float		0.0012..0.004	44/44	leaf	0.002 | 0.0012 | 0.0026
LockUps.Intermediate.Random.QualifyingChance	Lock ups intermediate random qualifying chance (inferred)	float		0.0007..0.0025	44/44	leaf	0.001 | 0.0007 | 0.0012
LockUps.Intermediate.Random.RaceChance	Lock ups intermediate random race chance (inferred)	float		0..0.045	44/44	leaf	0.01 | 0.0 | 0.005
LockUps.Wet.MaxDuration	Lock ups wet max duration (inferred)	float	s	1.3	44/44	leaf	1.3
LockUps.Wet.MinDuration	Lock ups wet min duration (inferred)	float	s	0.5	44/44	leaf	0.5
LockUps.Wet.Pressure.Chance	Lock ups wet pressure chance (inferred)	float		0.0015..0.0075	44/44	leaf	0.002 | 0.0025 | 0.0075
LockUps.Wet.Pressure.Distance	Lock ups wet pressure distance (inferred)	float		16	44/44	leaf	16
LockUps.Wet.Pressure.FirstLapChance	Lock ups wet pressure first lap chance (inferred)	float		0.001	44/44	leaf	0.001
LockUps.Wet.Random.PracticeChance	Lock ups wet random practice chance (inferred)	float		0.0013..0.005	44/44	leaf	0.002 | 0.0013 | 0.0028
LockUps.Wet.Random.QualifyingChance	Lock ups wet random qualifying chance (inferred)	float		0.0008..0.003	44/44	leaf	0.001 | 0.0008 | 0.0014
LockUps.Wet.Random.RaceChance	Lock ups wet random race chance (inferred)	float		0..0.045	44/44	leaf	0.01 | 0.0 | 0.005
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			44/44	leaf	melbourne | sepang | shanghai
can_lock_up_in_pits	Flag: can lock up in pits (inferred)	bool		False, True	44/44	leaf	True | False

canned_events.player_data.fault_data.attributes.FaultChanceAttribute_N

4 rows, _instancecount_ 4.

Field	Meaning	Type	Unit	Range	Rows	exe	Example
_metadata_	Row label: the name other rows and the game use to find this row, unique in its table (proven)	string			4/4	leaf	Gearbox | DRS | ERSInacessibleModes
attribute	Label of a row in attributes.Attributes_N.attribute_definitions.AttributeDefinition_N (inferred)	id			4/4	leaf	FaultChanceGearbox | FaultChanceDRS | FaultChanceERSInacessibleModes
faultType	Fault type (inferred)	enum		DRS, ERSInaccessibleModes, EngineLeanFuel, Gearbox	4/4	leaf	Gearbox | DRS | ERSInaccessibleModes