SRV Spa layout GP (3xDRS)

29 Jan 22 19:04 CET
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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
1 Uemit Zobu CRM Motorsport STM BMW M4 2022 02:14.452
Tyre: S 		02:22.062 9 laps / 4 cuts
2 Michael Weimer SRV Jägermeister eSport II STM Audi RS5 2022 02:16.874
Tyre: H 		02:17.897 7 laps / 2 cuts
3 Dieter Suessenguth Bayern Racing STM Mercedes C63 2022 02:21.252
Tyre: S 		02:25.360 15 laps / 8 cuts
4 Herbert Aeckerle Bayern Racing STM Mercedes C63 2022 02:24.588
Tyre: S 		02:29.877 17 laps / 7 cuts
5 Thomas Kneissler Horizont Personalmanagement Racing STM Audi RS5 2022 02:27.270
Tyre: S 		02:29.614 10 laps / 7 cuts
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Thomas Kneissler Collision with environment 20.4 X: 0.9 Y: -0.3 Z: -1.9 X: -360.6 Y: -19.5 Z: 846.7 16:00:37 (CET)
2 Thomas Kneissler Collision with environment 18.6 X: 0.9 Y: -0.3 Z: 2.2 X: -365.1 Y: -19.6 Z: 854.5 16:00:42 (CET)
3 Thomas Kneissler Collision with environment 10.9 X: 0.9 Y: -0.3 Z: 2.2 X: 581.0 Y: 73.0 Z: 823.1 16:04:52 (CET)
4 Thomas Kneissler Collision with environment 28.5 X: -0.9 Y: -0.3 Z: -2.0 X: 340.6 Y: 45.4 Z: 953.6 16:10:42 (CET)
5 Thomas Kneissler Collision with environment 28.9 X: -0.9 Y: -0.3 Z: -1.9 X: 341.3 Y: 45.4 Z: 953.1 16:21:57 (CET)
6 Thomas Kneissler Collision with environment 11.3 X: -1.0 Y: -0.3 Z: 1.8 X: 353.8 Y: 44.5 Z: 944.6 16:22:02 (CET)
7 Thomas Kneissler Collision with environment 2.0 X: -0.9 Y: -0.3 Z: 2.2 X: -124.7 Y: 15.1 Z: -469.9 16:23:37 (CET)
8 Thomas Kneissler Collision with environment 0.1 X: -0.9 Y: -0.3 Z: 2.2 X: -124.7 Y: 15.1 Z: -470.1 16:23:42 (CET)
9 Thomas Kneissler Collision with environment 5.8 X: -0.9 Y: -0.3 Z: 2.2 X: -124.5 Y: 15.2 Z: -474.4 16:23:52 (CET)
10 Michael Weimer Collision with environment 81.2 X: 0.7 Y: -0.3 Z: 2.3 X: 608.8 Y: 74.2 Z: 819.9 16:53:55 (CET)
11 Michael Weimer Collision with environment 25.5 X: -0.9 Y: -0.3 Z: 2.2 X: -384.9 Y: 22.8 Z: -885.9 16:54:15 (CET)
12 Dieter Suessenguth Collision with environment 55.5 X: 0.7 Y: -0.4 Z: 2.3 X: -208.5 Y: 16.8 Z: -545.4 17:16:49 (CET)
13 Dieter Suessenguth Collision with environment 71.7 X: -0.5 Y: -0.4 Z: 2.3 X: 323.8 Y: 46.8 Z: 964.9 17:56:29 (CET)
14 Dieter Suessenguth Collision with environment 41.5 X: 0.5 Y: -0.4 Z: 2.3 X: -212.9 Y: 17.0 Z: -552.5 18:02:20 (CET)
15 Uemit Zobu Collision with environment 5.2 X: 0.9 Y: -0.4 Z: 2.2 X: -133.1 Y: 15.2 Z: -487.4 18:02:27 (CET)
16 Dieter Suessenguth Uemit Zobu Collision with car 58.3 X: -0.5 Y: -0.4 Z: 1.4 X: -298.2 Y: 21.1 Z: -748.9 18:02:40 (CET)
17 Uemit Zobu Collision with environment 13.2 X: 0.8 Y: -0.3 Z: -2.4 X: -354.5 Y: 22.2 Z: -919.9 18:05:32 (CET)
Car Env Rel
SRV Spa layout GP (3xDRS) SRV Spa layout GP (3xDRS) collisions

There were no penalties in this session.

1st Uemit Zobu in STM BMW M4 2022
Best: 02:14.452, Potential: 02:14.412
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:50.197 03:10.077 01:03.342 00:36.778 1 S
2 02:16.027 00:39.642 01:00.183 00:36.202 0 S
3 02:14.452
L
L
00:39.308 00:59.698
S
S
00:35.446
S
S
0 S
4 02:15.087 00:39.268
S
S
01:00.251 00:35.568 0 S
5 02:26.056 00:49.419 01:00.309 00:36.328 0 S
6 02:15.226
C
00:39.335 00:59.806 00:36.085 1 S
7 02:38.689 00:39.498 01:01.019 00:58.172 0 S
8 02:24.640 00:39.605 01:01.587 00:43.448 1 S
9 02:38.271 01:00.431 01:02.028 00:35.812 1 H
2nd Michael Weimer in STM Audi RS5 2022
Best: 02:16.874, Potential: 02:16.874
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:05.505 01:23.696 01:05.044 00:36.765 1 H
2 02:18.069 00:40.022 01:01.493 00:36.554 0 H
3 02:17.938 00:39.779 01:01.615 00:36.544 0 H
4 05:09.219 03:29.395 01:02.680 00:37.144 1 H
5 02:18.680 00:39.887 01:01.745 00:37.048 0 H
6 02:17.927 00:40.034 01:01.304 00:36.589 0 H
7 02:16.874
L
00:39.693
S
01:01.024
S
00:36.157
S
0 H
3rd Dieter Suessenguth in STM Mercedes C63 2022
Best: 02:21.252, Potential: 02:20.138
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 13:57.627 12:14.941 01:04.512 00:38.174 1 S
2 05:39.345 03:55.403 01:05.404 00:38.538 1 S
3 05:12.048 03:28.273 01:05.794 00:37.981 1 S
4 02:23.045 00:41.085 01:03.981 00:37.979 0 S
5 02:22.648 00:41.209 01:02.986 00:38.453 0 S
6 02:21.252
L
00:40.987 01:03.212 00:37.053
S
0 S
7 02:21.642 00:40.671 01:03.638 00:37.333 0 S
8 02:21.488 00:40.563 01:03.580 00:37.345 0 S
9 02:21.303 00:40.251
S
01:03.692 00:37.360 0 S
10 10:47.406 09:04.774 01:05.434 00:37.198 1 S
11 02:46.148 01:04.853 01:02.834
S
00:38.461 0 S
12 02:21.149
C
00:40.736 01:03.199 00:37.214 1 S
13 04:34.084 02:50.094 01:06.095 00:37.895 1 S
14 05:59.061 04:16.573 01:05.623 00:36.865 1 S
15 02:21.727
C
00:40.981 01:03.212 00:37.534 1 S
4th Herbert Aeckerle in STM Mercedes C63 2022
Best: 02:24.588, Potential: 02:24.588
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:59.441 02:02.441 01:15.502 00:41.498 1 S
2 02:31.356 00:42.244 01:10.029 00:39.083 0 S
3 02:38.022 00:42.160 01:08.562 00:47.300 1 S
4 03:32.786 01:40.827 01:11.572 00:40.387 1 S
5 02:28.120 00:41.686 01:07.824 00:38.610 0 S
6 02:27.587 00:40.947 01:07.653 00:38.987 0 S
7 02:24.588
L
00:40.449
S
01:05.717
S
00:38.422
S
0 S
8 02:33.553 00:45.818 01:07.532 00:40.203 0 S
9 02:30.364 00:40.839 01:09.336 00:40.189 0 S
10 02:35.427 00:40.523 01:07.438 00:47.466 1 S
11 06:14.845 04:18.979 01:12.212 00:43.654 1 S
12 02:31.449 00:43.296 01:08.692 00:39.461 1 S
13 02:30.034 00:41.080 01:09.296 00:39.658 0 S
14 02:28.289 00:40.906 01:06.294 00:41.089 0 S
15 02:37.809 00:46.767 01:10.785 00:40.257 0 S
16 02:27.078 00:41.129 01:06.596 00:39.353 0 S
17 02:42.863 00:40.778 01:08.662 00:53.423 1 S
5th Thomas Kneissler in STM Audi RS5 2022
Best: 02:27.270, Potential: 02:26.261
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:09.449 02:05.565 01:13.948 00:49.936 1 S
2 02:37.817 00:42.393 01:14.317 00:41.107 1 S
3 02:27.270
L
00:42.671 01:06.178
S
00:38.421
S
0 S
4 03:08.549 00:40.464 01:47.306 00:40.779 1 S
5 02:27.931
C
00:40.628 01:09.233 00:38.070 1 S
6 02:33.181 00:41.752 01:11.465 00:39.964 0 S
7 03:38.377 01:52.731 01:07.625 00:38.021 1 S
8 02:28.393 00:41.662
S
01:07.739 00:38.992 0 S
9 02:34.122 00:42.670 01:13.562 00:37.890 1 S
10 03:15.867 00:43.110 01:20.567 01:12.190 1 S