SRV Misano - Layout GP (3xDRS)

29 May 22 19:21 CEST
Back to Results
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 SRV Jägermeister eSport II STM Audi RS5 2022 01:32.710
Tyre: M
01:33.827 17 laps / 9 cuts 8 - 21
2 CT Motorsport STM Mercedes AMG C63 2022 01:33.766
Tyre: M
01:35.125 14 laps / 3 cuts 20 - 27
3 MOR eSports STM BMW M4 2022 01:35.226
Tyre: S
01:40.646 44 laps / 6 cuts 12 - 55
4 Bayern Racing STM Mercedes AMG C63 2022 01:38.848
Tyre: M
01:50.008 12 laps / 1 cuts 9 - 47
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 21.9 X: 0.9 Y: -0.3 Z: -1.9 X: -270.7 Y: 2.0 Z: 259.3 14:39:46 (CEST)
2 Collision with environment 5.6 X: -0.7 Y: -0.4 Z: 2.3 X: -144.7 Y: 2.9 Z: 330.6 17:53:01 (CEST)
3 Collision with environment 31.0 X: 0.9 Y: -0.4 Z: 2.2 X: 212.4 Y: -4.6 Z: -240.6 18:23:01 (CEST)
4 Collision with environment 27.9 X: -0.8 Y: -0.1 Z: 2.2 X: -350.0 Y: 3.5 Z: 356.2 18:36:30 (CEST)
5 Collision with environment 7.7 X: 0.9 Y: -0.3 Z: -1.9 X: -12.0 Y: -3.7 Z: -170.6 18:38:20 (CEST)
6 Collision with environment 22.1 X: -0.9 Y: -0.4 Z: 2.2 X: 80.5 Y: -1.6 Z: 17.0 18:48:37 (CEST)
7 Collision with car 35.6 X: -0.6 Y: -0.3 Z: 2.3 X: -76.3 Y: 1.4 Z: 233.1 19:00:37 (CEST)
8 Collision with car 37.8 X: -0.1 Y: -0.3 Z: -2.4 X: -76.2 Y: 1.4 Z: 233.0 19:00:38 (CEST)
Car Env Rel
SRV Misano - Layout GP (3xDRS) SRV Misano - Layout GP (3xDRS) collisions

There were no penalties in this session.

1st Michael Weimer in STM Audi RS5 2022
Best: 01:32.710, Potential: 01:32.634
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:43.161 01:29.199 00:40.427 00:33.535 1 M
2 02:02.156 00:48.923 00:39.105 00:34.128 1 M
3 07:46.958 06:28.911 00:43.775 00:34.272 1 M
4 03:03.146 01:49.229 00:39.223 00:34.694 1 M
5 14:02.204 12:48.805 00:39.748 00:33.651 1 M
6 01:34.170 00:24.149 00:37.081 00:32.940 0 M
7 05:14.954 03:57.100 00:43.862 00:33.992 1 M
8 01:34.520 00:24.383 00:37.108 00:33.029 0 M
9 01:33.580 00:23.979 00:36.756 00:32.845 0 M
10 01:33.210 00:23.932 00:36.752 00:32.526 0 M
11 01:32.870 00:23.818 00:36.580 00:32.472
S
S
0 M
12 09:25.212 08:12.896 00:39.096 00:33.220 1 M
13 01:33.730
C
00:23.787 00:36.936 00:33.007 1 M
14 01:33.106 00:23.847 00:36.702 00:32.557 0 M
15 01:32.710
L
L
00:23.792
S
00:36.370
S
S
00:32.548 0 M
16 02:43.886 01:30.086 00:39.393 00:34.407 1 M
17 01:36.456 00:24.545 00:37.760 00:34.151 0 M
2nd Lars Borkowski in STM Mercedes AMG C63 2022
Best: 01:33.766, Potential: 01:33.451
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:22.066 01:05.089 00:41.544 00:35.433 1 M
2 01:36.792 00:25.142 00:37.854 00:33.796 0 M
3 01:34.868 00:24.029 00:37.476 00:33.363 0 M
4 01:34.755 00:23.947 00:37.215 00:33.593 0 M
5 01:34.387 00:23.805 00:37.638 00:32.944 0 M
6 01:34.217 00:23.761 00:37.337 00:33.119 0 M
7 01:34.862 00:23.722 00:37.445 00:33.695 0 M
8 01:36.599 00:24.024 00:38.979 00:33.596 0 M
9 01:44.943 00:24.100 00:40.757 00:40.086 1 M
10 04:47.181 03:32.044 00:40.495 00:34.642 1 M
11 01:35.976 00:24.466 00:38.029 00:33.481 0 M
12 01:33.766
L
00:23.733 00:37.007
S
00:33.026 0 M
13 01:34.294 00:23.617
S
S
00:37.850 00:32.827
S
0 M
14 01:35.865 00:24.283 00:38.349 00:33.233 0 M
3rd Lars Maisack in STM BMW M4 2022
Best: 01:35.226, Potential: 01:34.322
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:27.699 02:08.706 00:41.966 00:37.027 1 S
2 01:38.972 00:25.649 00:38.413 00:34.910 0 S
3 01:42.607 00:28.785 00:38.483 00:35.339 0 S
4 01:39.582
C
00:25.039 00:39.010 00:35.533 1 S
5 01:53.651 00:24.605 00:51.607 00:37.439 0 S
6 01:39.533 00:24.586 00:40.950 00:33.997 0 S
7 01:38.512 00:24.352 00:39.586 00:34.574 0 S
8 02:03.013 00:49.011 00:39.375 00:34.627 0 S
9 01:37.773 00:24.746 00:39.114 00:33.913 0 S
10 01:39.981 00:24.956 00:40.478 00:34.547 0 S
11 02:48.263 01:32.929 00:40.351 00:34.983 0 S
12 01:43.250 00:24.199 00:44.906 00:34.145 0 S
13 01:41.181 00:24.662 00:41.410 00:35.109 0 S
14 01:36.273 00:24.237 00:37.934 00:34.102 0 S
15 01:50.312 00:38.384 00:37.981 00:33.947 0 S
16 13:37.716 12:20.860 00:41.665 00:35.191 0 S
17 01:54.398 00:24.362 00:39.816 00:50.220 0 S
18 01:38.080 00:25.621 00:38.264 00:34.195 0 S
19 01:35.999 00:24.395 00:37.774 00:33.830 0 S
20 01:36.739 00:24.631 00:38.363 00:33.745 0 S
21 01:38.456 00:24.346 00:40.118 00:33.992 0 S
22 01:39.700 00:24.365 00:40.955 00:34.380 0 S
23 01:35.365 00:24.026 00:37.539 00:33.800 0 S
24 03:09.235 01:54.323 00:40.365 00:34.547 0 S
25 01:36.071 00:24.224 00:37.999 00:33.848 0 S
26 01:35.839 00:23.799
S
00:38.272 00:33.768 0 S
27 01:35.986 00:24.431 00:38.007 00:33.548 0 S
28 01:34.789
C
00:23.667 00:37.637 00:33.485 1 S
29 01:36.346 00:24.188 00:38.746 00:33.412 0 S
30 01:37.728 00:25.269 00:39.037 00:33.422 0 S
31 01:36.880
C
00:25.393 00:37.593 00:33.894 1 S
32 03:13.928 01:58.194 00:40.563 00:35.171 0 S
33 01:42.274 00:24.896 00:39.074 00:38.304 0 S
34 01:35.226
L
00:24.526 00:37.336
S
00:33.364 0 S
35 01:35.354 00:24.767 00:37.400 00:33.187
S
0 S
36 01:39.237 00:25.625 00:40.042 00:33.570 0 S
37 01:39.845
C
00:24.327 00:39.973 00:35.545 1 S
38 01:39.183
C
00:25.324 00:38.407 00:35.452 1 S
39 01:54.835 00:41.719 00:39.073 00:34.043 0 S
40 01:38.646 00:25.097 00:39.074 00:34.475 0 S
41 01:37.609 00:25.366 00:37.859 00:34.384 0 S
42 04:39.262 03:23.221 00:41.922 00:34.119 0 S
43 01:36.004 00:24.693 00:37.421 00:33.890 0 S
44 01:36.396 00:24.062 00:38.313 00:34.021 0 S
4th Herbert Aeckerle in STM Mercedes AMG C63 2022
Best: 01:38.848, Potential: 01:38.217
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:17.453 00:54.780 00:44.918 00:37.755 1 M
2 01:39.398 00:24.964 00:39.137 00:35.297
S
0 M
3 02:09.152 00:41.511 00:50.183 00:37.458 0 M
4 01:44.411 00:24.833
S
00:38.377 00:41.201 0 M
5 01:50.977 00:29.559 00:43.811 00:37.607 0 M
6 01:41.197 00:26.222 00:39.452 00:35.523 0 M
7 01:51.714 00:27.833 00:42.877 00:41.004 0 M
8 02:20.256 01:00.925 00:42.201 00:37.130 0 M
9 01:39.625 00:25.011 00:38.763 00:35.851 0 M
10 01:38.848
L
00:25.413 00:38.087
S
00:35.348 0 M
11 01:52.235 00:26.137 00:44.123 00:41.975 0 M
12 01:42.278 00:26.624 00:39.132 00:36.522 0 M