SRV Interlagos 2022 - Layout GP (3xDRS)

14 Nov 24 14:05 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 Norman Rohrseitz Scuderia Berlin eSports Team STM BMW M4 Saison 9 01:31.718
Tyre: M 		01:33.046 27 laps / 6 cuts 16 - 31
2 Norbert Mewis Scuderia Berlin eSports Team STM BMW M4 Saison 9 01:32.211
Tyre: H 		01:34.641 26 laps / 10 cuts 3 - 21
3 Horst Hengelein Travelling Caravan Racing STM Mercedes-AMG C63 Saison 9 01:32.361
Tyre: M 		01:34.250 20 laps / 8 cuts 21 - 46
4 Michael Weimer SRV Jaegermeister eSport II STM Audi RS5 Saison 9 277:46:39.999
Tyre: ? 		00:00.000 2 laps / 2 cuts 17 - 25
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Horst Hengelein Collision with environment 29.7 X: -0.8 Y: -0.3 Z: 1.9 X: -191.4 Y: 3.0 Z: 411.6 14:28:31 (CET)
2 Horst Hengelein Collision with environment 150.0 X: 0.8 Y: -0.3 Z: 1.9 X: -432.2 Y: 14.6 Z: -305.3 14:33:41 (CET)
3 Horst Hengelein Collision with environment 31.0 X: -0.8 Y: -0.3 Z: 1.9 X: -340.7 Y: -3.0 Z: -122.5 14:41:56 (CET)
4 Horst Hengelein Collision with environment 21.7 X: -0.9 Y: -0.2 Z: 1.6 X: -341.8 Y: 18.8 Z: 495.3 14:50:06 (CET)
5 Norbert Mewis Collision with environment 15.1 X: 1.0 Y: -0.3 Z: 1.6 X: -5.0 Y: -2.7 Z: 392.6 16:44:52 (CET)
6 Norbert Mewis Collision with environment 51.4 X: 0.4 Y: -0.3 Z: 2.1 X: -253.7 Y: 5.7 Z: 430.4 17:02:58 (CET)
7 Michael Weimer Collision with environment 0.9 X: -0.4 Y: -0.3 Z: 2.1 X: -333.0 Y: 15.5 Z: 418.6 19:42:38 (CET)
8 Michael Weimer Collision with environment 63.5 X: -0.4 Y: 0.2 Z: 2.0 X: -343.9 Y: -2.5 Z: -122.0 19:53:58 (CET)
9 Norman Rohrseitz Collision with environment 60.3 X: 0.9 Y: -0.3 Z: 1.5 X: -107.0 Y: -15.9 Z: -407.3 21:33:07 (CET)
10 Norman Rohrseitz Collision with environment 43.2 X: -1.0 Y: -0.3 Z: 1.5 X: -162.8 Y: -5.4 Z: -574.3 21:42:07 (CET)
11 Norman Rohrseitz Collision with environment 44.7 X: 0.8 Y: 0.3 Z: 1.4 X: -204.2 Y: 4.4 Z: 393.2 21:44:02 (CET)
12 Norman Rohrseitz Collision with environment 84.1 X: 0.9 Y: -0.3 Z: 1.6 X: -83.6 Y: -15.6 Z: -439.2 21:54:27 (CET)
13 Norman Rohrseitz Collision with environment 20.8 X: -0.4 Y: -0.3 Z: 2.1 X: -357.5 Y: -3.1 Z: -252.0 22:09:27 (CET)
Car Env Rel
SRV Interlagos 2022 - Layout GP (3xDRS) SRV Interlagos 2022 - Layout GP (3xDRS) collisions

There were no penalties in this session.

1st Norman Rohrseitz in STM BMW M4 Saison 9
Best: 01:31.718, Potential: 01:31.570
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre Road (°C) Ambient (°C) Wind Speed (m/s) Wind Direction (°)
1 02:31.147 00:54.329 00:49.663 00:47.155 1 M 39.0 29.0 5.0 32.2
2 01:34.096 00:23.509 00:46.813 00:23.774 0 M 39.0 29.0 5.0 27.5
3 03:21.084 02:09.876 00:47.110 00:24.098 1 M 39.0 29.0 5.0 20.9
4 01:33.275 00:23.210 00:46.269 00:23.796 0 M 39.0 29.0 5.0 20.9
5 01:33.315 00:23.078 00:46.341 00:23.896 0 M 39.0 29.0 5.0 20.9
6 01:32.430 00:22.783
S
00:46.039 00:23.608 0 M 39.0 29.0 5.0 20.9
7 01:32.861 00:23.022 00:46.377 00:23.462 0 M 39.0 29.0 5.0 20.9
8 01:34.124 00:24.383 00:46.004 00:23.737 0 M 39.0 29.0 5.0 20.9
9 01:33.611 00:23.718 00:46.462 00:23.431 0 M 39.0 29.0 5.0 21.2
10 04:09.834 02:59.314 00:46.620 00:23.900 1 M 39.0 29.0 5.0 23.0
11 01:35.967 00:26.019 00:46.138 00:23.810 0 M 39.0 29.0 5.0 23.0
12 01:33.509 00:23.570 00:46.315 00:23.624 0 M 39.0 29.0 5.0 23.0
13 01:33.089 00:23.438 00:46.121 00:23.530 0 M 39.0 29.0 5.0 23.0
14 05:19.314 04:08.897 00:46.521 00:23.896 1 M 39.0 29.0 5.0 23.3
15 01:33.271 00:23.062 00:46.399 00:23.810 0 M 39.0 29.0 5.0 24.1
16 01:32.782 00:23.126 00:46.139 00:23.517 0 M 39.0 29.0 5.0 24.9
17 01:32.967 00:23.383 00:46.080 00:23.504 0 M 39.0 29.0 5.0 25.0
18 02:30.039 01:20.689 00:45.963 00:23.387 1 M 39.0 29.0 5.0 25.0
19 02:55.873 01:46.470 00:45.854 00:23.549 1 M 39.0 29.0 5.0 25.0
20 01:33.160 00:23.127 00:46.539 00:23.494 0 M 39.0 29.0 5.0 25.0
21 01:32.170 00:22.883 00:45.590 00:23.697 0 M 39.0 29.0 5.0 25.0
22 01:32.467 00:23.122 00:45.891 00:23.454 0 M 39.0 29.0 5.0 30.3
23 01:32.175 00:23.244 00:45.517 00:23.414 0 M 39.0 29.0 5.0 36.3
24 01:32.627 00:23.665 00:45.504 00:23.458 0 M 39.0 29.0 5.0 41.1
25 01:32.073 00:23.029 00:45.693 00:23.351 0 M 39.0 29.0 5.0 41.1
26 01:31.718
L
L
00:22.931 00:45.486
S
S
00:23.301
S
0 M 39.0 29.0 5.0 41.1
27 01:32.298 00:22.791 00:45.647 00:23.860 0 M 39.0 29.0 5.0 41.1
2nd Norbert Mewis in STM BMW M4 Saison 9
Best: 01:32.211, Potential: 01:31.755
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre Road (°C) Ambient (°C) Wind Speed (m/s) Wind Direction (°)
1 03:22.722 02:07.621 00:50.882 00:24.219 1 M 39.0 29.0 5.0 18.9
2 01:34.171 00:23.525 00:47.034 00:23.612 0 M 39.0 29.0 5.0 18.9
3 01:34.132 00:23.365 00:47.331 00:23.436 0 M 39.0 29.0 5.0 18.9
4 01:35.842 00:23.216 00:49.132 00:23.494 1 M 39.0 29.0 5.0 21.0
5 01:33.538 00:23.406 00:46.395 00:23.737 0 M 39.0 29.0 5.0 24.6
6 01:33.025 00:23.068 00:46.458 00:23.499 0 M 39.0 29.0 5.0 28.0
7 01:33.110 00:22.834 00:46.849 00:23.427 0 M 39.0 29.0 5.0 28.0
8 01:32.828 00:22.934 00:46.423 00:23.471 0 M 39.0 29.0 5.0 28.0
9 01:33.108 00:22.844 00:46.234 00:24.030 0 M 39.0 29.0 5.0 28.0
10 04:54.632 03:44.505 00:46.799 00:23.328 1 M 39.0 29.0 5.0 28.0
11 01:53.758 00:22.971 00:57.815 00:32.972 0 M 39.0 29.0 5.0 33.9
12 01:34.528 00:23.104 00:47.948 00:23.476 0 M 39.0 29.0 5.0 40.1
13 03:33.805 02:22.817 00:47.444 00:23.544 1 H 39.0 29.0 5.0 44.1
14 01:33.286
C
00:23.194 00:46.310 00:23.782 1 H 39.0 29.0 5.0 44.1
15 01:32.939 00:23.320 00:46.066 00:23.553 0 H 39.0 29.0 5.0 44.1
16 01:33.351 00:23.200 00:46.435 00:23.716 0 H 39.0 29.0 5.0 44.1
17 01:33.041 00:23.080 00:46.138 00:23.823 0 H 39.0 29.0 5.0 44.1
18 03:22.061 02:11.155 00:47.457 00:23.449 1 H 39.0 29.0 5.0 41.9
19 01:33.391
C
00:22.737 00:46.107 00:24.547 1 H 39.0 29.0 5.0 40.3
20 01:33.781
C
00:23.343 00:46.921 00:23.517 1 H 39.0 29.0 5.0 40.0
21 01:34.722 00:22.816 00:48.640 00:23.266
S
S
0 H 39.0 29.0 5.0 40.0
22 01:36.529 00:23.021 00:46.364 00:27.144 1 H 39.0 29.0 5.0 40.0
23 01:32.211
L
00:23.014 00:45.824
S
00:23.373 0 H 39.0 29.0 5.0 40.0
24 01:33.041 00:22.850 00:46.585 00:23.606 0 H 39.0 29.0 5.0 40.0
25 01:32.765 00:22.665
S
S
00:46.381 00:23.719 0 H 39.0 29.0 5.0 40.0
26 01:41.523 00:22.871 00:46.553 00:32.099 1 H 39.0 29.0 5.0 37.7
3rd Horst Hengelein in STM Mercedes-AMG C63 Saison 9
Best: 01:32.361, Potential: 01:31.851
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre Road (°C) Ambient (°C) Wind Speed (m/s) Wind Direction (°)
1 02:02.896 00:45.226 00:52.389 00:25.281 1 H 39.0 29.0 5.0 21.2
2 01:35.306 00:23.599 00:47.119 00:24.588 1 H 39.0 29.0 5.0 20.1
3 01:37.022 00:24.073 00:48.303 00:24.646 1 H 39.0 29.0 5.0 19.0
4 01:37.868 00:26.301 00:47.974 00:23.593 0 H 39.0 29.0 5.0 19.0
5 01:33.756 00:23.412 00:46.421 00:23.923 0 H 39.0 29.0 5.0 19.0
6 01:51.870 00:23.863 00:46.278 00:41.729 1 H 39.0 29.0 5.0 19.0
7 06:03.032 04:50.546 00:48.731 00:23.755 1 M 39.0 29.0 5.0 18.0
8 01:38.094 00:23.632 00:46.489 00:27.973 0 M 39.0 29.0 5.0 16.8
9 04:09.894 02:30.696 01:15.127 00:24.071 1 M 39.0 29.0 5.0 16.0
10 01:33.293 00:23.516 00:46.180 00:23.597 0 M 39.0 29.0 5.0 16.0
11 01:37.734 00:23.078 00:50.761 00:23.895 0 M 39.0 29.0 5.0 16.0
12 01:33.609 00:23.507 00:46.188 00:23.914 0 M 39.0 29.0 5.0 16.0
13 04:13.588 03:01.899 00:48.217 00:23.472 1 M 39.0 29.0 5.0 19.0
14 01:33.273 00:23.167 00:46.804 00:23.302
S
0 M 39.0 29.0 5.0 21.3
15 01:32.718 00:23.012 00:45.941 00:23.765 0 M 39.0 29.0 5.0 22.0
16 01:32.880 00:23.278 00:45.842 00:23.760 0 M 39.0 29.0 5.0 22.0
17 03:05.896 01:55.624 00:46.687 00:23.585 1 M 39.0 29.0 5.0 22.0
18 01:32.737 00:22.928
S
00:46.071 00:23.738 0 M 39.0 29.0 5.0 22.0
19 01:32.687 00:23.482 00:45.792 00:23.413 0 M 39.0 29.0 5.0 20.8
20 01:32.361
L
00:23.240 00:45.621
S
00:23.500 0 M 39.0 29.0 5.0 19.2
4th Michael Weimer in STM Audi RS5 Saison 9
Best: 277:46:39.999, Potential: 00:00.000
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre Road (°C) Ambient (°C) Wind Speed (m/s) Wind Direction (°)
1 02:30.553 01:18.040 00:48.712 00:23.801 1 H 39.0 29.0 5.0 35.0
2 08:23.974 07:13.432 00:46.602 00:23.940 1 H 39.0 29.0 5.0 34.4