Indian Grand Prix

19 Dec 25 19:07 UTC

Indian Grand Prix, India

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Overview Qualifying
View Championship Open in Simresults Download as JSON L/S = Overall Best Lap/Sector L/S = Driver's Best Lap/Sector
# Name Car Qualifying Time Average Lap Laps Ping
1 pjeretus Nissan GT-R GT3 01:54.287
Tyre: S 		01:54.874 6 laps / 4 cuts 38 - 57
2 theraxo BMW Z4 GT3 01:54.575
Tyre: S 		01:54.575 2 laps / 4 cuts 34 - 374
3 Potato Nissan GT-R GT3 01:54.892
Tyre: S 		01:55.248 6 laps / 2 cuts 30 - 7864
4 Lukeydude Ferrari 488 GT3 01:55.507
Tyre: S 		01:55.825 7 laps / 4 cuts 21 - 26
5 Philip Ferrari 488 GT3 01:56.675
Tyre: S 		01:57.452 5 laps / 10 cuts 22 - 4868
6 Luubi Porsche 911 GT3 R 2016 01:58.056
Tyre: M 		01:59.375 3 laps / 1 cuts 17 - 31
7 Laciz Audi R8 LMS 2016 02:00.982
Tyre: M 		02:09.337 7 laps / 7 cuts 35 - 37
8 Army goose Nissan GT-R GT3 02:01.923
Tyre: M 		02:03.020 6 laps / 8 cuts 23 - 30
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Laciz Collision with environment 13.3 X: 1.0 Y: 0.7 Z: -2.1 X: -138.1 Y: 9.7 Z: -276.2 18:49:47 (UTC)
2 Philip Potato Collision with car 149.5 X: -1.0 Y: -0.3 Z: 0.5 X: -595.7 Y: 4.3 Z: -367.1 18:51:21 (UTC)
3 Potato Philip Collision with car 149.5 X: 1.0 Y: -0.3 Z: 1.9 X: -595.7 Y: 4.3 Z: -367.1 18:51:21 (UTC)
4 Philip Collision with environment 55.5 X: 0.8 Y: 0.0 Z: 2.4 X: -498.2 Y: 2.3 Z: -253.2 18:56:47 (UTC)
5 pjeretus Collision with environment 49.7 X: 0.0 Y: -0.3 Z: 2.3 X: -634.4 Y: 2.7 Z: -225.6 19:00:26 (UTC)
6 Army goose Collision with environment 49.1 X: 0.7 Y: -0.3 Z: 2.2 X: 761.8 Y: 10.9 Z: 109.1 19:00:51 (UTC)
7 Potato Collision with environment 104.8 X: -0.2 Y: -0.3 Z: 2.2 X: -333.4 Y: 3.8 Z: 298.3 19:02:06 (UTC)
8 Lukeydude Collision with environment 66.3 X: 0.8 Y: -0.3 Z: 2.4 X: -178.0 Y: 6.9 Z: -273.1 19:03:24 (UTC)
9 theraxo Collision with environment 4.7 X: 1.0 Y: 0.2 Z: 1.5 X: 165.7 Y: 2.0 Z: 22.4 19:03:51 (UTC)
Car Env Rel
Indian Grand Prix Indian Grand Prix collisions

There were no penalties in this session.

1st pjeretus in Nissan GT-R GT3
Best: 01:54.287, Potential: 01:54.284
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre Road (°C) Ambient (°C) Wind Speed (m/s) Wind Direction (°)
1 02:06.643 01:04.844 00:32.409 00:29.390 1 S 20.0 15.0 24.0 29.0
2 01:54.468
C
00:53.232 00:32.296 00:28.940 1 S 20.0 15.0 24.0 29.0
3 01:55.461 00:53.244 00:33.038 00:29.179
S
0 S 20.0 15.0 24.0 29.0
4 01:55.357 00:53.433 00:33.034 00:28.890 1 S 22.0 17.0 17.0 -30.0
5 01:54.287
L
L
00:52.728
S
S
00:32.377
S
00:29.182 0 S 22.0 17.0 17.0 -30.0
6 01:54.717
C
00:52.590 00:32.751 00:29.376 1 S 22.0 17.0 17.0 -30.0
2nd theraxo in BMW Z4 GT3
Best: 01:54.575, Potential: 01:54.575
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre Road (°C) Ambient (°C) Wind Speed (m/s) Wind Direction (°)
1 04:38.806 03:33.875 00:34.407 00:30.524 4 S 20.0 15.0 24.0 29.0
2 01:54.575
L
00:53.560
S
00:31.522
S
S
00:29.493
S
0 S 20.0 15.0 24.0 29.0
3rd Potato in Nissan GT-R GT3
Best: 01:54.892, Potential: 01:54.675
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre Road (°C) Ambient (°C) Wind Speed (m/s) Wind Direction (°)
1 02:15.287 01:06.514 00:32.458 00:36.315 1 S 20.0 15.0 24.0 29.0
2 03:37.892 02:34.704 00:33.839 00:29.349 1 S 20.0 15.0 24.0 29.0
3 01:54.892
L
00:53.534 00:32.355 00:29.003
S
S
0 S 22.0 17.0 17.0 -30.0
4 01:54.917 00:53.349
S
00:32.323
S
00:29.245 0 S 22.0 17.0 17.0 -30.0
5 01:56.013 00:53.832 00:32.993 00:29.188 0 S 22.0 17.0 17.0 -30.0
6 01:55.172 00:53.482 00:32.485 00:29.205 0 S 22.0 17.0 17.0 -30.0
4th Lukeydude in Ferrari 488 GT3
Best: 01:55.507, Potential: 01:55.313
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre Road (°C) Ambient (°C) Wind Speed (m/s) Wind Direction (°)
1 02:16.230 01:12.716 00:33.827 00:29.687 1 S 20.0 15.0 24.0 29.0
2 01:56.675 00:54.477 00:32.791 00:29.407 0 S 20.0 15.0 24.0 29.0
3 02:01.152 00:57.764 00:33.939 00:29.449 2 S 20.0 15.0 24.0 29.0
4 01:55.573 00:53.676
S
00:32.638 00:29.259 0 S 22.0 17.0 17.0 -30.0
5 01:55.507
L
00:53.862 00:32.404
S
00:29.241 0 S 22.0 17.0 17.0 -30.0
6 02:15.887 01:13.517 00:32.905 00:29.465 1 S 22.0 17.0 17.0 -30.0
7 01:55.545 00:53.705 00:32.607 00:29.233
S
0 S 22.0 17.0 17.0 -30.0
5th Philip in Ferrari 488 GT3
Best: 01:56.675, Potential: 01:56.675
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre Road (°C) Ambient (°C) Wind Speed (m/s) Wind Direction (°)
1 02:09.068 01:05.717 00:33.539 00:29.812 4 S 20.0 15.0 24.0 29.0
2 05:48.622 04:43.584 00:35.293 00:29.745 4 S 22.0 17.0 17.0 -30.0
3 03:46.981 02:42.653 00:34.367 00:29.961 2 S 22.0 17.0 17.0 -30.0
4 01:58.230 00:54.671 00:33.571 00:29.988 0 S 22.0 17.0 17.0 -30.0
5 01:56.675
L
00:54.292
S
00:33.098
S
00:29.285
S
0 S 22.0 17.0 17.0 -30.0
6th Luubi in Porsche 911 GT3 R 2016
Best: 01:58.056, Potential: 01:58.056
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre Road (°C) Ambient (°C) Wind Speed (m/s) Wind Direction (°)
1 05:08.713 04:02.027 00:35.402 00:31.284 1 M 20.0 15.0 24.0 29.0
2 02:00.695 00:55.994 00:34.507 00:30.194 0 M 22.0 17.0 17.0 -30.0
3 01:58.056
L
00:54.367
S
00:33.664
S
00:30.025
S
0 M 22.0 17.0 17.0 -30.0
7th Laciz in Audi R8 LMS 2016
Best: 02:00.982, Potential: 02:00.351
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre Road (°C) Ambient (°C) Wind Speed (m/s) Wind Direction (°)
1 02:46.288 01:25.320 00:36.990 00:43.978 3 S 20.0 15.0 24.0 29.0
2 02:24.374 00:55.670 00:48.799 00:39.905 0 S 20.0 15.0 24.0 29.0
3 02:17.406 00:55.047 00:39.505 00:42.854 1 S 22.0 17.0 17.0 -30.0
4 02:39.367 00:57.402 00:37.111 01:04.854 1 S 22.0 17.0 17.0 -30.0
5 03:51.143 02:40.494 00:34.929 00:35.720 2 M 22.0 17.0 17.0 -30.0
6 02:02.655 00:55.141
S
00:36.319 00:31.195 0 M 22.0 17.0 17.0 -30.0
7 02:00.982
L
00:55.772 00:35.024
S
00:30.186
S
0 M 22.0 17.0 17.0 -30.0
8th Army goose in Nissan GT-R GT3
Best: 02:01.923, Potential: 02:01.658
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre Road (°C) Ambient (°C) Wind Speed (m/s) Wind Direction (°)
1 02:27.649 01:19.424 00:34.988 00:33.237 2 M 20.0 15.0 24.0 29.0
2 02:03.963 00:56.400 00:35.631 00:31.932 0 M 20.0 15.0 24.0 29.0
3 02:03.174 00:56.443 00:34.906
S
00:31.825
S
0 M 20.0 15.0 24.0 29.0
4 02:05.361 00:58.270 00:35.433 00:31.658 3 M 22.0 17.0 17.0 -30.0
5 02:01.923
L
00:54.927
S
00:35.108 00:31.888 0 M 22.0 17.0 17.0 -30.0
6 02:09.024 00:58.635 00:38.506 00:31.883 3 M 22.0 17.0 17.0 -30.0