SRV Melbourne 2022 - Layout GP (3xDRS)

28 Jun 22 19:03 CEST
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Overview Practice
Open in Simresults Download as JSON L/S = Overall Best Lap/Sector L/S = Driver's Best Lap/Sector
# Name Team Car Best Practice Lap Average Lap Laps Ping
1 Stiftung Plankentest II STM BMW M4 2022 01:40.282
Tyre: S
01:55.590 23 laps / 1 cuts 4 - 10
2 SRV Jägermeister eSport II STM Audi RS5 2022 01:40.977
Tyre: S
01:42.298 24 laps / 4 cuts 17 - 63
3 BMS Racing STM Mercedes AMG C63 2022 01:42.173
Tyre: S
01:56.445 17 laps / 5 cuts 18 - 28
4 Micro-Machines Sim Racing I STM Mercedes AMG C63 2022 01:42.758
Tyre: S
01:42.930 4 laps / 1 cuts 8 - 21
5 Micro-Machines Sim Racing II STM Mercedes AMG C63 2022 01:43.053
Tyre: S
02:08.425 20 laps / 3 cuts 5 - 80
6 Horizont Personalmanagement Racing STM Audi RS5 2022 01:43.169
Tyre: S
01:52.140 11 laps / 1 cuts 21 - 28
7 SRV Jägermeister eSport I STM Audi RS5 2022 01:43.852
Tyre: S
02:10.691 4 laps / 1 cuts 21 - 24
8 SRV Jägermeister eSport II STM Audi RS5 2022 01:44.227
Tyre: H
02:07.022 15 laps / 1 cuts 14 - 19
9 Horizont Personalmanagement Racing STM BMW M4 2022 01:44.876
Tyre: S
02:00.424 10 laps / 1 cuts 12 - 18
10 MOR eSports STM BMW M4 2022 01:45.062
Tyre: S
01:47.612 12 laps / 4 cuts 14 - 74
11 Bayern Racing STM Mercedes AMG C63 2022 01:47.982
Tyre: S
01:52.548 28 laps / 4 cuts 8 - 191
12 HW Performance STM Mercedes AMG C63 2022 01:49.355
Tyre: H
01:49.355 3 laps / 2 cuts 21 - 26
13 Safety-Car SRV Audi R8 LMS SAFETY CAR 01:55.563
Tyre: S
02:42.797 4 laps / 2 cuts 12 - 16
14 CRM Motorsport STM BMW M4 2022 277:46:39.999
Tyre: ?
00:00.000 1 laps / 1 cuts 14 - 20
15 Stiftung Plankentest I STM Audi RS5 2022 277:46:39.999
Tyre: ?
00:00.000 1 laps / 1 cuts 13 - 21
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 23.6 X: -0.9 Y: -0.4 Z: -1.9 X: -525.7 Y: 3.5 Z: -717.9 16:17:06 (CEST)
2 Collision with environment 19.2 X: 0.9 Y: -0.3 Z: 1.9 X: -556.2 Y: 4.2 Z: -719.0 16:20:46 (CEST)
3 Collision with environment 8.5 X: 0.9 Y: -0.4 Z: 2.2 X: -17.2 Y: 3.2 Z: 540.9 17:29:32 (CEST)
4 Collision with environment 23.8 X: -0.8 Y: -0.4 Z: 2.3 X: 0.6 Y: 3.3 Z: -775.7 17:36:22 (CEST)
5 Collision with environment 1.8 X: -0.9 Y: -0.4 Z: 2.2 X: 5.7 Y: 3.3 Z: -771.3 17:36:27 (CEST)
6 Collision with environment 93.7 X: 0.6 Y: -0.3 Z: 2.3 X: -606.1 Y: 3.2 Z: -547.7 17:43:52 (CEST)
7 Collision with environment 20.1 X: -1.0 Y: -0.3 Z: 1.8 X: 203.0 Y: 3.4 Z: 195.4 17:47:12 (CEST)
8 Collision with environment 40.9 X: -0.8 Y: -0.4 Z: 2.2 X: -647.1 Y: 2.8 Z: -415.1 17:48:22 (CEST)
9 Collision with environment 34.7 X: -0.9 Y: -0.4 Z: 2.2 X: -349.6 Y: 2.7 Z: 114.3 18:00:57 (CEST)
10 Collision with environment 94.2 X: 1.0 Y: -0.3 Z: 2.2 X: -159.7 Y: 2.9 Z: -859.3 18:16:28 (CEST)
11 Collision with environment 65.9 X: 0.6 Y: -0.3 Z: 2.4 X: -70.7 Y: 3.5 Z: -824.3 18:21:53 (CEST)
12 Collision with environment 62.4 X: 0.7 Y: -0.4 Z: 2.3 X: -606.6 Y: 3.2 Z: -556.4 18:23:51 (CEST)
13 Collision with environment 17.4 X: -0.8 Y: -0.3 Z: -2.3 X: -610.1 Y: 3.8 Z: -658.8 18:24:01 (CEST)
14 Collision with environment 21.0 X: -1.0 Y: -0.4 Z: 1.8 X: -413.7 Y: 3.0 Z: 2.1 18:28:21 (CEST)
15 Collision with environment 42.0 X: -0.9 Y: -0.4 Z: 2.2 X: -531.7 Y: 3.1 Z: -110.1 18:28:26 (CEST)
16 Collision with environment 0.1 X: -1.0 Y: -0.4 Z: 1.8 X: -549.8 Y: 3.0 Z: -130.0 18:28:31 (CEST)
17 Collision with environment 52.1 X: -0.8 Y: -0.4 Z: 2.1 X: -639.5 Y: 2.8 Z: -417.6 18:36:14 (CEST)
18 Collision with environment 59.4 X: 0.8 Y: -0.0 Z: -2.4 X: 667.0 Y: 3.6 Z: 805.3 18:41:45 (CEST)
19 Collision with environment 28.6 X: 0.9 Y: -0.3 Z: 2.2 X: 713.4 Y: 4.3 Z: 841.7 18:42:31 (CEST)
20 Collision with environment 21.2 X: 0.9 Y: -0.4 Z: 2.2 X: -605.3 Y: 3.1 Z: -532.6 18:42:40 (CEST)
21 Collision with environment 45.9 X: -0.7 Y: -0.3 Z: 2.3 X: -661.0 Y: 3.0 Z: -410.2 18:43:33 (CEST)
22 Collision with environment 71.3 X: -0.5 Y: -0.2 Z: 2.3 X: -644.4 Y: 3.0 Z: -416.0 18:46:22 (CEST)
23 Collision with environment 106.4 X: 0.6 Y: -0.3 Z: 2.3 X: -442.9 Y: 2.8 Z: 0.7 18:46:57 (CEST)
24 Collision with environment 97.4 X: -0.4 Y: -0.2 Z: 2.2 X: 11.2 Y: 3.5 Z: -174.6 18:46:59 (CEST)
25 Collision with environment 34.9 X: -0.8 Y: -0.0 Z: -2.4 X: 9.8 Y: 3.6 Z: -124.9 18:47:04 (CEST)
26 Collision with environment 28.3 X: -0.9 Y: -0.3 Z: 1.8 X: -248.3 Y: 2.7 Z: -862.9 18:48:26 (CEST)
27 Collision with environment 72.1 X: 0.9 Y: -0.3 Z: 2.1 X: -169.1 Y: 3.0 Z: -875.6 18:48:31 (CEST)
28 Collision with car 95.7 X: 0.7 Y: -0.2 Z: 2.3 X: 737.5 Y: 3.7 Z: 758.0 18:52:12 (CEST)
29 Collision with environment 99.0 X: -0.1 Y: -0.3 Z: 2.3 X: 749.5 Y: 4.2 Z: 787.9 18:52:12 (CEST)
30 Collision with car 93.8 X: -0.3 Y: -0.3 Z: -2.4 X: 736.9 Y: 3.7 Z: 758.0 18:52:14 (CEST)
31 Collision with environment 99.9 X: -0.3 Y: -0.2 Z: -2.4 X: 751.2 Y: 4.0 Z: 854.3 18:52:14 (CEST)
32 Collision with car 79.0 X: 0.7 Y: -0.3 Z: 2.3 X: -239.6 Y: 1.8 Z: 333.0 18:52:36 (CEST)
33 Collision with car 77.7 X: 0.7 Y: -0.3 Z: -2.3 X: -239.6 Y: 1.8 Z: 333.0 18:52:39 (CEST)
34 Collision with environment 17.8 X: 0.7 Y: -0.4 Z: 2.3 X: -279.1 Y: 1.6 Z: 286.7 18:52:39 (CEST)
35 Collision with environment 66.4 X: 0.7 Y: 0.1 Z: -2.1 X: -326.0 Y: 2.2 Z: 267.1 18:52:41 (CEST)
36 Collision with environment 29.1 X: -0.8 Y: -0.3 Z: -2.4 X: -376.4 Y: 2.4 Z: 218.9 18:52:44 (CEST)
37 Collision with environment 16.6 X: -0.9 Y: -0.3 Z: 2.2 X: 164.0 Y: 2.4 Z: 716.4 18:54:33 (CEST)
38 Collision with environment 36.6 X: -0.9 Y: -0.4 Z: 2.2 X: -178.9 Y: 3.1 Z: -827.1 18:55:01 (CEST)
39 Collision with environment 3.3 X: -0.8 Y: -0.3 Z: -2.4 X: -173.2 Y: 3.2 Z: -824.7 18:55:06 (CEST)
40 Collision with environment 4.3 X: -1.0 Y: -0.3 Z: 1.8 X: -247.6 Y: 2.8 Z: -862.9 18:55:36 (CEST)
41 Collision with environment 140.0 X: -0.5 Y: -0.3 Z: 2.2 X: -457.9 Y: 3.0 Z: -35.8 18:56:14 (CEST)
42 Collision with car 36.8 X: 0.8 Y: -0.3 Z: -2.4 X: -396.5 Y: 2.9 Z: 26.8 18:56:42 (CEST)
43 Collision with car 34.9 X: 0.0 Y: -0.2 Z: 2.3 X: -396.6 Y: 2.9 Z: 26.7 18:56:44 (CEST)
44 Collision with car 14.7 X: 0.8 Y: -0.3 Z: -2.3 X: -397.8 Y: 2.8 Z: 25.2 18:56:46 (CEST)
45 Collision with environment 46.5 X: 0.5 Y: 0.1 Z: 2.2 X: -604.9 Y: 3.4 Z: -519.5 18:57:12 (CEST)
46 Collision with environment 18.8 X: 0.9 Y: -0.4 Z: 2.2 X: -720.8 Y: 3.8 Z: -450.7 18:59:45 (CEST)
47 Collision with environment 20.6 X: -1.0 Y: -0.4 Z: 1.8 X: -248.3 Y: 2.7 Z: -862.9 19:00:16 (CEST)
48 Collision with environment 23.3 X: 0.9 Y: -0.3 Z: -1.9 X: -456.1 Y: 2.8 Z: -12.1 19:00:18 (CEST)
49 Collision with environment 68.4 X: 0.8 Y: -0.2 Z: 2.1 X: -130.5 Y: 2.9 Z: -835.8 19:00:44 (CEST)
Car Env Rel
SRV Melbourne 2022 - Layout GP (3xDRS) SRV Melbourne 2022 - Layout GP (3xDRS) collisions

There were no penalties in this session.

1st Pascal Hein in STM BMW M4 2022
Best: 01:40.282, Potential: 01:40.242
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 09:21.466 08:14.497 00:23.098 00:43.871 1 S
2 01:41.701 00:35.911 00:22.477 00:43.313 0 S
3 01:43.038 00:35.898 00:23.872 00:43.268 0 S
4 01:41.709 00:35.900 00:22.451 00:43.358 0 S
5 01:41.358 00:35.783 00:22.393 00:43.182 0 S
6 03:26.478 01:30.499 00:40.613 01:15.366 0 S
7 03:46.224 01:45.894 00:44.198 01:16.132 0 S
8 01:45.155 00:39.419 00:22.424 00:43.312 0 S
9 01:41.702 00:35.989 00:22.545 00:43.168 0 S
10 01:41.838 00:35.849 00:22.545 00:43.444 0 S
11 01:41.605 00:35.855 00:22.460 00:43.290 0 S
12 01:41.742 00:35.875 00:22.442 00:43.425 0 S
13 01:41.686 00:35.927 00:22.456 00:43.303 0 S
14 01:41.656 00:35.920 00:22.451 00:43.285 0 S
15 01:41.940 00:36.105 00:22.535 00:43.300 0 S
16 01:42.411 00:36.548 00:22.473 00:43.390 0 S
17 04:28.856 03:20.915 00:23.477 00:44.464 0 S
18 01:41.432 00:35.845 00:22.230
S
S
00:43.357 0 S
19 03:55.010 02:45.760 00:23.665 00:45.585 0 S
20 01:40.631 00:35.530 00:22.284 00:42.817 0 S
21 02:28.912 01:20.377 00:23.918 00:44.617 0 S
22 01:40.302 00:35.366 00:22.262 00:42.674
S
S
0 S
23 01:40.282
L
L
00:35.338
S
S
00:22.244 00:42.700 0 S
2nd Stefan Herler in STM Audi RS5 2022
Best: 01:40.977, Potential: 01:40.828
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:23.250 01:16.649 00:22.982 00:43.619 1 S
2 01:41.466 00:35.874 00:22.311 00:43.281 0 S
3 01:41.223 00:35.747 00:22.284
S
00:43.192 0 S
4 01:41.812 00:35.882 00:22.357 00:43.573 0 S
5 01:41.553 00:35.821 00:22.460 00:43.272 0 S
6 01:42.131 00:36.198 00:22.382 00:43.551 0 S
7 01:42.751 00:36.070 00:22.405 00:44.276 0 S
8 01:42.047 00:36.055 00:22.469 00:43.523 0 S
9 01:42.436 00:36.362 00:22.482 00:43.592 0 S
10 01:41.985
C
00:35.974 00:22.487 00:43.524 1 S
11 01:42.447 00:36.170 00:22.564 00:43.713 0 S
12 01:43.058 00:36.134 00:22.523 00:44.401 0 S
13 01:42.391 00:36.183 00:22.558 00:43.650 0 S
14 02:00.183 00:36.375 00:22.535 01:01.273 1 H
15 01:50.537 00:43.334 00:22.942 00:44.261 1 H
16 01:43.021 00:36.578 00:22.505 00:43.938 0 H
17 01:42.633 00:36.303 00:22.463 00:43.867 0 H
18 01:42.933 00:36.243 00:22.545 00:44.145 0 H
19 01:43.000 00:36.360 00:22.517 00:44.123 0 H
20 01:42.677 00:36.365 00:22.563 00:43.749 0 H
21 01:42.823 00:36.326 00:22.555 00:43.942 0 H
22 02:24.370 01:17.617 00:22.945 00:43.808 0 S
23 04:00.067 02:53.377 00:23.090 00:43.600 0 S
24 01:40.977
L
00:35.524
S
00:22.433 00:43.020
S
0 S
3rd Fred Dohnke in STM Mercedes AMG C63 2022
Best: 01:42.173, Potential: 01:42.151
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:31.074 02:21.404 00:23.400 00:46.270 1 S
2 01:44.318 00:37.016 00:22.698 00:44.604 0 S
3 01:43.583 00:36.484 00:22.577 00:44.522 0 S
4 01:55.234 00:36.911 00:33.507 00:44.816 0 S
5 01:45.067
C
00:36.509 00:23.954 00:44.604 1 S
6 04:02.555 02:54.471 00:23.570 00:44.514 0 S
7 02:48.851 01:40.766 00:23.238 00:44.847 0 S
8 01:46.603 00:36.398 00:22.608 00:47.597 0 S
9 01:46.462 00:38.674 00:23.099 00:44.689 0 S
10 11:03.832 09:54.793 00:24.278 00:44.761 0 S
11 02:16.000 01:08.721 00:23.075 00:44.204 0 S
12 01:43.771 00:37.216 00:22.505 00:44.050 0 S
13 01:42.173
L
00:36.249
S
00:22.391
S
00:43.533 0 S
14 25:41.057 24:30.713 00:25.403 00:44.941 1 S
15 01:42.022
C
00:36.390 00:22.427 00:43.205 1 S
16 01:57.456 00:36.280 00:37.665 00:43.511
S
0 S
17 01:44.670
C
00:38.447 00:22.730 00:43.493 1 S
4th Philipp Krauslach in STM Mercedes AMG C63 2022
Best: 01:42.758, Potential: 01:42.758
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:27.182 01:17.487 00:23.867 00:45.828 1 S
2 01:43.102 00:36.781 00:22.446 00:43.875 0 S
3 01:42.758
L
00:36.735
S
00:22.324
S
00:43.699
S
0 S
4 05:39.888 04:31.681 00:23.531 00:44.676 0 S
5th Jean Ora in STM Mercedes AMG C63 2022
Best: 01:43.053, Potential: 01:42.913
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:45.682 04:36.305 00:24.098 00:45.279 1 S
2 01:44.500 00:37.279 00:22.820 00:44.401 0 S
3 01:43.442 00:36.671 00:22.501 00:44.270 0 S
4 01:43.556
C
00:37.060 00:22.432 00:44.064 1 S
5 01:43.188 00:36.385 00:22.428
S
00:44.375 0 S
6 04:52.567 03:44.532 00:23.129 00:44.906 0 S
7 01:46.493
C
00:36.627 00:23.129 00:46.737 1 S
8 04:41.648 03:32.951 00:23.828 00:44.869 0 H
9 01:45.113 00:36.916 00:22.793 00:45.404 0 H
10 12:20.464 11:12.469 00:23.584 00:44.411 0 S
11 03:01.526 01:53.171 00:23.702 00:44.653 0 S
12 01:44.016 00:36.457 00:23.139 00:44.420 0 S
13 19:37.987 18:29.844 00:23.561 00:44.582 0 S
14 03:00.356 01:50.962 00:24.102 00:45.292 0 S
15 01:43.053
L
00:36.376
S
00:22.568 00:44.109
S
0 S
16 01:44.440 00:36.575 00:23.193 00:44.672 0 S
17 01:44.041 00:36.474 00:22.954 00:44.613 0 S
18 01:44.883 00:36.820 00:22.793 00:45.270 0 S
19 01:49.106 00:40.320 00:23.341 00:45.445 0 S
20 01:48.641 00:39.706 00:23.508 00:45.427 0 S
6th Thomas Kneissler in STM Audi RS5 2022
Best: 01:43.169, Potential: 01:42.988
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:49.215 01:37.836 00:24.732 00:46.647 1 S
2 01:46.155 00:38.200 00:22.954 00:45.001 0 S
3 01:46.208 00:37.161 00:23.044 00:46.003 0 S
4 02:53.216 01:38.220 00:28.961 00:46.035 0 S
5 01:44.524 00:37.411 00:22.757 00:44.356 0 S
6 01:44.234 00:37.212 00:22.697
S
00:44.325 0 S
7 01:44.551 00:37.118 00:22.807 00:44.626 0 S
8 01:43.919 00:36.919 00:22.806 00:44.194 0 S
9 03:54.705 02:46.134 00:23.809 00:44.762 0 S
10 01:43.292 00:36.508 00:22.748 00:44.036
S
0 S
11 01:43.169
L
00:36.255
S
00:22.783 00:44.131 0 S
7th Steffen Maschke in STM Audi RS5 2022
Best: 01:43.852, Potential: 01:43.820
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:10.933 04:01.539 00:23.584 00:45.810 1 S
2 01:45.256 00:37.486 00:22.752
S
00:45.018 0 S
3 01:43.852
L
00:36.478
S
00:22.784 00:44.590
S
0 S
4 03:02.966 01:50.876 00:23.711 00:48.379 0 S
8th Michael Weimer in STM Audi RS5 2022
Best: 01:44.227, Potential: 01:44.048
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:05.364 02:55.164 00:23.305 00:46.895 1 H
2 01:47.082 00:38.218 00:23.108 00:45.756 0 H
3 01:45.097 00:37.296 00:22.697 00:45.104 0 H
4 01:44.981 00:37.112 00:22.946 00:44.923 0 H
5 01:45.316 00:37.294 00:22.847 00:45.175 0 H
6 08:20.540 07:11.925 00:23.111 00:45.504 0 H
7 01:44.227
L
00:36.777
S
00:22.779 00:44.671
S
0 H
8 01:44.869 00:36.991 00:22.801 00:45.077 0 H
9 03:12.705 02:00.556 00:23.728 00:48.421 0 H
10 01:45.745 00:37.286 00:22.892 00:45.567 0 H
11 03:35.232 02:24.617 00:23.841 00:46.774 0 H
12 01:45.610 00:37.930 00:22.905 00:44.775 0 H
13 01:44.594 00:37.112 00:22.600
S
00:44.882 0 H
14 03:10.452 02:00.341 00:23.355 00:46.756 0 H
15 01:45.381 00:37.169 00:22.861 00:45.351 0 H
9th Daniel Amann in STM BMW M4 2022
Best: 01:44.876, Potential: 01:44.652
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:25.869 01:10.881 00:27.279 00:47.709 1 S
2 01:46.758 00:38.375 00:22.653
S
00:45.730 0 S
3 02:49.357 01:38.154 00:24.160 00:47.043 0 S
4 01:48.410 00:38.791 00:23.049 00:46.570 0 S
5 01:45.699 00:37.181 00:23.108 00:45.410 0 S
6 01:44.876
L
00:36.917 00:22.806 00:45.153
S
0 S
7 02:31.598 01:20.840 00:24.206 00:46.552 0 S
8 01:47.913 00:37.348 00:22.950 00:47.615 0 S
9 01:48.783 00:36.846
S
00:22.976 00:48.961 0 S
10 04:50.772 03:40.009 00:24.430 00:46.333 0 S
10th Lars Maisack in STM BMW M4 2022
Best: 01:45.062, Potential: 01:45.062
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 08:41.276 07:30.564 00:24.259 00:46.453 1 S
2 01:48.178 00:39.382 00:23.126 00:45.670 0 S
3 01:46.156 00:37.531 00:23.288 00:45.337 0 S
4 01:45.062
L
00:37.090
S
00:22.846
S
00:45.126
S
0 S
5 01:47.427 00:38.626 00:23.058 00:45.743 0 S
6 01:46.816
C
00:38.177 00:23.045 00:45.594 1 S
7 01:47.744 00:39.295 00:22.959 00:45.490 0 S
8 01:50.837 00:37.758 00:23.049 00:50.030 0 S
9 02:08.900 00:39.081 00:23.093 01:06.726 1 H
10 01:55.949 00:45.101 00:24.287 00:46.561 1 H
11 01:47.507 00:38.288 00:23.175 00:46.044 0 H
12 01:47.985 00:38.298 00:23.148 00:46.539 0 H
11th Herbert Aeckerle in STM Mercedes AMG C63 2022
Best: 01:47.982, Potential: 01:47.110
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:13.998 01:02.070 00:24.768 00:47.160 1 S
2 01:47.982
L
00:38.515 00:23.323 00:46.144
S
0 S
3 01:48.899 00:39.145 00:23.431 00:46.323 0 S
4 01:48.696 00:38.685 00:23.426 00:46.585 0 S
5 01:50.250 00:38.920 00:23.368 00:47.962 0 S
6 01:51.636 00:40.418 00:23.387 00:47.831 0 S
7 01:51.428 00:40.652 00:23.743 00:47.033 0 S
8 02:00.531 00:41.735 00:23.545 00:55.251 0 S
9 02:25.187 00:39.064 00:24.439 01:21.684 1 H
10 02:04.293 00:51.411 00:25.136 00:47.746 1 H
11 01:52.540 00:40.031 00:24.044 00:48.465 0 H
12 01:51.988 00:39.457 00:24.147 00:48.384 0 H
13 02:38.905 01:24.093 00:24.713 00:50.099 1 S
14 01:50.471 00:38.994 00:23.156
S
00:48.321 0 S
15 01:51.189 00:38.356 00:24.633 00:48.200 0 S
16 04:48.085 03:33.853 00:26.131 00:48.101 0 S
17 01:49.410 00:37.810
S
00:23.936 00:47.664 0 S
18 01:58.467 00:42.092 00:24.638 00:51.737 0 S
19 02:00.514 00:39.415 00:24.898 00:56.201 0 S
20 01:55.849 00:40.803 00:26.347 00:48.699 0 S
21 04:12.271 02:59.920 00:25.430 00:46.921 0 S
22 01:52.001 00:40.222 00:23.796 00:47.983 0 S
23 01:56.719 00:38.829 00:29.551 00:48.339 0 S
24 01:49.761 00:37.815 00:23.787 00:48.159 0 S
25 01:50.258 00:39.037 00:23.976 00:47.245 0 S
26 01:51.216 00:38.946 00:24.308 00:47.962 0 S
27 05:39.822 04:25.599 00:24.749 00:49.474 0 S
28 01:53.719 00:39.609 00:26.230 00:47.880 0 S
12th Dirk Wiedemann in STM Mercedes AMG C63 2022
Best: 01:49.355, Potential: 01:49.355
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:30.945 04:16.681 00:24.975 00:49.289 1 H
2 01:51.523 00:39.834 00:24.898 00:46.791 1 H
3 01:49.355
L
00:39.209
S
00:23.598
S
00:46.548
S
0 H
13th Ralph Wentland in SRV Audi R8 LMS SAFETY CAR
Best: 01:55.563, Potential: 01:55.312
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:00.248 01:43.145 00:26.114 00:50.989 1 S
2 01:55.563
L
00:41.299
S
00:24.790 00:49.474
S
0 S
3 03:30.032 02:15.976 00:24.539
S
00:49.517 0 S
4 01:54.802
C
00:40.323 00:24.543 00:49.936 1 S
14th Uemit Zobu in STM BMW M4 2022
Best: 277:46:39.999, Potential: 00:00.000
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:34.287 02:22.057 00:25.596 00:46.634 1 S
15th Tim Quoos in STM Audi RS5 2022
Best: 277:46:39.999, Potential: 00:00.000
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:27.050 02:18.848 00:22.833 00:45.369 1 S