SRV Silverstone - Layout GP (3xDRS)

12 Mar 22 00:31 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 Ping
1 BMS Racing STM Mercedes C63 2022 01:57.764
Tyre: M
01:58.408 9 laps / 3 cuts 16 - 111
2 Micro-Machines Sim Racing II STM Mercedes C63 2022 01:58.418
Tyre: M
01:58.980 10 laps / 4 cuts 4 - 81
3 BMS Racing STM Mercedes C63 2022 01:58.471
Tyre: M
01:58.471 4 laps / 3 cuts 11 - 268
4 CRM Motorsport STM BMW M4 2022 01:58.670
Tyre: M
02:00.278 12 laps / 4 cuts 13 - 93
5 CT Motorsport STM Mercedes C63 2022 01:59.408
Tyre: M
01:59.408 3 laps / 2 cuts 16 - 23
6 SRV Jägermeister eSport II STM Audi RS5 2022 01:59.767
Tyre: M
02:00.159 7 laps / 3 cuts 11 - 24
7 Horizont Personalmanagement Racing STM BMW M4 2022 02:05.221
Tyre: S
02:08.137 9 laps / 3 cuts 14 - 88
8 Bayern Racing STM Mercedes C63 2022 02:14.614
Tyre: S
02:17.028 5 laps / 1 cuts 8 - 38
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with car 15.6 X: -0.9 Y: -0.3 Z: 2.1 X: 289.2 Y: 3.1 Z: -36.1 19:34:14 (CET)
2 Collision with car 21.5 X: 0.9 Y: -0.4 Z: -1.9 X: 289.1 Y: 3.0 Z: -36.0 19:34:15 (CET)
3 Collision with environment 52.0 X: 0.9 Y: -0.4 Z: 2.2 X: 141.0 Y: 2.8 Z: -354.7 19:39:55 (CET)
4 Collision with environment 114.0 X: -0.7 Y: -0.4 Z: 2.3 X: -16.0 Y: -0.4 Z: 55.2 19:52:38 (CET)
5 Collision with environment 47.3 X: -0.9 Y: -0.3 Z: 2.2 X: -301.6 Y: -0.6 Z: -638.6 21:05:49 (CET)
6 Collision with environment 6.8 X: 0.9 Y: -0.4 Z: 2.2 X: -295.8 Y: -5.9 Z: 146.6 21:12:20 (CET)
Car Env Rel
SRV Silverstone - Layout GP (3xDRS) SRV Silverstone - Layout GP (3xDRS) collisions

There were no penalties in this session.

1st Fred Dohnke in STM Mercedes C63 2022
Best: 01:57.764, Potential: 01:57.364
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:28.432 00:58.526 00:55.801 00:34.105 1 M
2 01:58.796 00:32.410 00:52.879 00:33.507
S
0 M
3 01:57.934 00:32.006 00:52.209 00:33.719 0 M
4 03:38.462 02:10.915 00:53.617 00:33.930 1 M
5 01:59.370 00:32.978 00:52.290 00:34.102 0 M
6 01:58.665 00:32.309 00:52.380 00:33.976 0 M
7 03:24.587 01:56.117 00:54.504 00:33.966 1 M
8 01:57.921 00:32.015 00:51.908
S
S
00:33.998 0 M
9 01:57.764
L
L
00:31.949
S
00:52.146 00:33.669 0 M
2nd Jean Ora in STM Mercedes C63 2022
Best: 01:58.418, Potential: 01:58.044
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:35.750 01:07.073 00:54.558 00:34.119 1 S
2 01:58.897 00:32.263 00:52.771 00:33.863 0 S
3 02:04.066 00:32.383 00:53.581 00:38.102 1 S
4 03:06.265 01:37.062 00:55.160 00:34.043 1 M
5 01:59.076 00:32.208 00:52.852 00:34.016 0 M
6 01:59.425 00:32.197 00:53.194 00:34.034 0 M
7 01:59.309 00:32.198 00:53.348 00:33.763 0 M
8 02:02.191 00:31.939 00:54.158 00:36.094 1 M
9 01:58.756 00:32.577 00:52.681
S
00:33.498
S
S
0 M
10 01:58.418
L
00:31.865
S
00:52.952 00:33.601 0 M
3rd Andreas Braun in STM Mercedes C63 2022
Best: 01:58.471, Potential: 01:58.471
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:38.981 01:10.642 00:54.702 00:33.637 1 M
2 03:31.192 02:02.394 00:54.459 00:34.339 1 M
3 03:44.754 02:15.293 00:55.351 00:34.110 1 M
4 01:58.471
L
00:31.995
S
00:52.771
S
00:33.705
S
0 M
4th Uemit Zobu in STM BMW M4 2022
Best: 01:58.670, Potential: 01:58.360
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:45.477 01:15.494 00:55.216 00:34.767 3 M
2 08:08.663 06:38.745 00:55.696 00:34.222 1 M
3 01:59.702 00:32.250 00:53.482 00:33.970 0 M
4 01:58.884 00:31.989 00:52.812
S
00:34.083 0 M
5 01:59.155 00:31.882 00:52.906 00:34.367 0 M
6 01:58.670
L
00:31.703
S
S
00:52.957 00:34.010 0 M
7 01:59.167 00:31.862 00:53.200 00:34.105 0 M
8 01:59.859 00:32.010 00:53.887 00:33.962 0 M
9 02:06.378 00:39.096 00:53.437 00:33.845
S
0 M
10 02:00.015 00:32.233 00:53.680 00:34.102 0 M
11 02:00.613 00:31.900 00:53.820 00:34.893 0 M
12 02:00.345 00:32.154 00:53.469 00:34.722 0 M
5th Lars Borkowski in STM Mercedes C63 2022
Best: 01:59.408, Potential: 01:59.408
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:33.038 01:01.990 00:56.191 00:34.857 1 S
2 03:44.638 02:15.416 00:55.053 00:34.169 1 M
3 01:59.408
L
00:32.473
S
00:53.257
S
00:33.678
S
0 M
6th Michael Weimer in STM Audi RS5 2022
Best: 01:59.767, Potential: 01:59.579
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 06:33.368 04:51.705 01:07.022 00:34.641 1 M
2 02:00.855 00:32.704 00:53.950 00:34.201 0 M
3 01:59.961 00:32.292 00:53.567 00:34.102 0 M
4 02:56.498 01:27.880 00:54.698 00:33.920 1 M
5 02:00.054 00:32.312 00:53.326
S
00:34.416 0 M
6 01:59.767
L
00:32.274
S
00:53.514 00:33.979
S
0 M
7 03:12.578 01:44.873 00:53.766 00:33.939 1 M
7th Daniel Amann in STM BMW M4 2022
Best: 02:05.221, Potential: 02:05.221
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:46.214 02:56.667 01:10.195 00:39.352 1 S
2 03:21.171 01:41.932 01:00.917 00:38.322 1 S
3 02:11.764 00:35.640 00:59.926 00:36.198 0 S
4 02:10.091 00:35.947 00:57.132 00:37.012 0 S
5 02:09.184 00:35.975 00:56.907 00:36.302 0 S
6 02:24.528 00:33.999 01:12.908 00:37.621 1 S
7 02:06.549 00:34.028 00:56.530 00:35.991 0 S
8 02:06.018 00:34.001 00:56.088 00:35.929 0 S
9 02:05.221
L
00:33.929
S
00:55.706
S
00:35.586
S
0 S
8th Herbert Aeckerle in STM Mercedes C63 2022
Best: 02:14.614, Potential: 02:14.193
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:51.068 01:05.688 01:06.653 00:38.727 1 S
2 02:18.863 00:38.531 01:02.029 00:38.303 0 S
3 02:17.738 00:37.132
S
01:02.563 00:38.043 0 S
4 02:16.897 00:37.784 01:00.976 00:38.137 0 S
5 02:14.614
L
00:37.553 00:59.518
S
00:37.543
S
0 S