Nurburgring - Layout Gp A

09 Jan 22 19:43 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 Car Best Practice Lap Average Lap Laps
1 STM BMW M4 2022 01:58.722
Tyre: S
02:03.820 18 laps / 7 cuts
2 STM Mercedes C63 2022 01:59.916
Tyre: M
02:10.704 5 laps / 2 cuts
3 STM Audi RS5 2022 02:01.566
Tyre: M
02:07.681 6 laps / 2 cuts
4 STM Mercedes C63 2022 02:02.994
Tyre: S
02:08.783 18 laps / 7 cuts
5 STM BMW M4 2022 02:04.228
Tyre: M
02:05.976 4 laps / 1 cuts
6 STM BMW M4 2022 02:04.656
Tyre: S
02:07.468 6 laps / 2 cuts
7 STM Mercedes C63 2022 02:13.034
Tyre: M
02:20.904 12 laps / 1 cuts
8 STM BMW M4 2022 02:21.877
Tyre: S
02:24.885 6 laps / 2 cuts
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 7.9 X: 0.9 Y: -0.3 Z: 2.2 X: -225.3 Y: 52.2 Z: -766.7 14:58:26 (CET)
2 Collision with environment 0.4 X: 0.9 Y: -0.3 Z: 2.2 X: -225.4 Y: 52.2 Z: -766.6 14:58:31 (CET)
3 Collision with environment 0.1 X: 0.9 Y: -0.3 Z: 2.1 X: -225.4 Y: 52.2 Z: -766.6 14:58:36 (CET)
4 Collision with environment 0.0 X: 0.9 Y: -0.3 Z: 2.1 X: -225.4 Y: 52.2 Z: -766.6 14:58:41 (CET)
5 Collision with environment 0.1 X: 0.9 Y: -0.3 Z: 2.1 X: -225.4 Y: 52.2 Z: -766.6 14:58:46 (CET)
6 Collision with environment 0.1 X: 0.9 Y: -0.3 Z: 2.1 X: -225.4 Y: 52.2 Z: -766.6 14:58:51 (CET)
7 Collision with environment 17.4 X: -0.6 Y: -0.4 Z: 2.3 X: -70.5 Y: 50.4 Z: -169.0 15:00:27 (CET)
8 Collision with environment 17.4 X: 0.9 Y: -0.3 Z: 2.1 X: 306.6 Y: 35.2 Z: 302.2 17:46:49 (CET)
9 Collision with environment 39.8 X: -0.9 Y: -0.3 Z: 2.2 X: -193.8 Y: 53.9 Z: -800.1 18:41:25 (CET)
10 Collision with environment 13.3 X: 0.9 Y: -0.3 Z: 2.2 X: -219.4 Y: 54.8 Z: -803.1 18:41:30 (CET)
11 Collision with environment 24.2 X: -0.8 Y: -0.0 Z: -2.4 X: -376.5 Y: 34.0 Z: -180.8 18:48:05 (CET)
12 Collision with environment 41.3 X: -0.9 Y: -0.4 Z: 2.2 X: -374.2 Y: 34.6 Z: -158.5 19:01:40 (CET)
13 Collision with environment 79.3 X: -0.8 Y: -0.2 Z: 2.2 X: -49.0 Y: 64.2 Z: -1010.1 19:06:04 (CET)
14 Collision with environment 31.8 X: -0.9 Y: -0.4 Z: -1.9 X: -24.2 Y: 58.3 Z: -320.1 19:07:14 (CET)
15 Collision with environment 5.9 X: -0.9 Y: -0.4 Z: 2.2 X: -73.2 Y: 51.0 Z: -184.7 19:12:04 (CET)
16 Collision with environment 29.5 X: -0.9 Y: -0.3 Z: 2.1 X: -185.3 Y: 48.9 Z: -101.2 19:19:38 (CET)
17 Collision with environment 15.0 X: -0.9 Y: -0.2 Z: -1.8 X: -184.8 Y: 49.0 Z: -102.0 19:19:43 (CET)
18 Collision with environment 18.8 X: 0.9 Y: -0.3 Z: 2.1 X: -85.3 Y: 51.2 Z: -99.3 19:39:19 (CET)
Car Env Rel
Nurburgring - Layout Gp A Nurburgring - Layout Gp A collisions

There were no penalties in this session.

1st Benedikt Höpfer in STM BMW M4 2022
Best: 01:58.722, Potential: 01:58.418
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:36.724 03:07.097 00:44.978 00:44.649 1 S
2 02:01.888 00:37.738 00:41.521 00:42.629 0 S
3 07:08.621 05:35.818 00:42.979 00:49.824 1 S
4 02:36.130 01:11.489 00:41.468 00:43.173 0 S
5 01:59.687 00:36.663 00:40.752 00:42.272 0 S
6 01:58.722
L
L
00:36.439 00:40.882 00:41.401
S
S
0 S
7 05:40.105 04:12.440 00:43.268 00:44.397 1 S
8 02:01.609 00:37.279 00:41.458 00:42.872 0 S
9 02:00.714 00:37.023 00:40.886 00:42.805 0 S
10 01:59.078 00:36.413 00:40.896 00:41.769 0 S
11 01:58.947
C
00:36.398 00:40.546 00:42.003 1 S
12 01:59.533 00:36.351
S
S
00:40.666
S
S
00:42.516 0 S
13 02:06.397 00:36.951 00:41.917 00:47.529 1 S
14 03:05.257 01:36.814 00:44.199 00:44.244 1 S
15 02:01.942 00:37.481 00:41.756 00:42.705 0 S
16 02:00.191
C
00:36.348 00:40.477 00:43.366 1 S
17 02:00.278 00:36.426 00:41.111 00:42.741 0 S
18 02:02.448 00:37.569 00:41.138 00:43.741 0 S
2nd Dirk Wiedemann in STM Mercedes C63 2022
Best: 01:59.916, Potential: 01:59.916
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:20.667 00:54.249 00:43.146 00:43.272 1 M
2 02:29.413 01:02.374 00:42.898 00:44.141 0 M
3 02:02.784 00:37.778 00:42.152 00:42.854 0 M
4 02:51.006 01:26.536 00:41.333 00:43.137 1 M
5 01:59.916
L
00:36.908
S
00:41.063
S
00:41.945
S
0 M
3rd Dirk Wiedemann in STM Audi RS5 2022
Best: 02:01.566, Potential: 02:01.439
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:35.742 01:03.442 00:46.237 00:46.063 1 M
2 02:22.600 00:57.239 00:42.453 00:42.908 0 M
3 02:03.774 00:37.913 00:42.278 00:43.583 0 M
4 02:57.855 01:30.338 00:43.138 00:44.379 1 M
5 02:02.786 00:37.687 00:42.260 00:42.839
S
0 M
6 02:01.566
L
00:37.253
S
00:41.347
S
00:42.966 0 M
4th Daniel Amann in STM Mercedes C63 2022
Best: 02:02.994, Potential: 02:02.000
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:30.378 03:27.222 01:08.634 00:54.522 1 S
2 02:12.875 00:40.464 00:45.018 00:47.393 0 S
3 02:13.563 00:41.835 00:45.621 00:46.107 0 S
4 02:08.717 00:40.590 00:44.081 00:44.046 0 S
5 02:09.387 00:40.061 00:44.398 00:44.928 0 S
6 05:19.578 03:49.469 00:45.153 00:44.956 1 M
7 02:09.626 00:39.091 00:46.382 00:44.153 0 M
8 02:08.815 00:38.671 00:45.950 00:44.194 0 M
9 02:05.682 00:38.454 00:43.465 00:43.763 0 M
10 03:42.702 02:01.622 00:52.587 00:48.493 1 M
11 07:22.959 05:54.961 00:43.925 00:44.073 1 S
12 02:05.181
C
00:39.545 00:42.102 00:43.534 1 S
13 05:15.571 03:43.982 00:45.271 00:46.318 1 S
14 02:10.645 00:41.900 00:44.388 00:44.357 0 S
15 02:10.078 00:41.522 00:45.046 00:43.510 0 S
16 02:04.233 00:37.814
S
00:43.408 00:43.011
S
0 S
17 02:02.994
L
00:37.957 00:41.175
S
00:43.862 0 S
18 02:09.928 00:43.883 00:42.310 00:43.735 1 S
5th Dirk Wiedemann in STM BMW M4 2022
Best: 02:04.228, Potential: 02:04.228
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:03.011 01:33.470 00:43.880 00:45.661 1 M
2 02:08.329 00:39.409 00:44.770 00:44.150 0 M
3 02:05.371 00:38.535 00:42.713 00:44.123 0 M
4 02:04.228
L
00:38.283
S
00:42.340
S
00:43.605
S
0 M
6th Daniel Amann in STM BMW M4 2022
Best: 02:04.656, Potential: 02:03.661
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:59.366 04:19.831 00:55.300 00:44.235 1 S
2 02:12.537 00:38.779 00:49.581 00:44.177 0 S
3 07:15.618 05:26.555 01:04.224 00:44.839 1 S
4 02:07.957 00:38.438 00:46.508 00:43.011
S
0 S
5 02:04.656
L
00:38.129
S
00:42.521
S
00:44.006 0 S
6 02:04.722 00:38.227 00:42.916 00:43.579 0 S
7th Herbert Aeckerle in STM Mercedes C63 2022
Best: 02:13.034, Potential: 02:12.134
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:49.322 01:06.484 00:52.569 00:50.269 1 M
2 02:25.051 00:45.264 00:49.792 00:49.995 0 M
3 02:55.731 01:06.003 01:00.138 00:49.590 0 M
4 02:19.067 00:42.750 00:48.564 00:47.753 0 M
5 02:17.774 00:42.437 00:47.665 00:47.672 0 M
6 02:15.484 00:40.912 00:47.273 00:47.299 0 M
7 02:23.389 00:41.446 00:54.590 00:47.353 0 M
8 02:13.034
L
00:40.582 00:45.810
S
00:46.642 0 M
9 02:14.431 00:41.443 00:46.341 00:46.647 0 M
10 02:15.087 00:41.568 00:46.646 00:46.873 0 M
11 02:17.389 00:40.585 00:47.061 00:49.743 0 M
12 02:13.511 00:40.015
S
00:47.187 00:46.309
S
0 M
8th Herbert Aeckerle in STM BMW M4 2022
Best: 02:21.877, Potential: 02:21.698
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:55.980 01:06.319 00:53.023 00:56.638 1 S
2 02:26.232 00:44.428 00:50.652 00:51.152 0 S
3 02:24.126 00:42.993 00:49.734 00:51.399 0 S
4 02:27.307 00:43.515 00:49.689
S
00:54.103 0 S
5 02:21.877
L
00:42.369
S
00:49.868 00:49.640
S
0 S
6 02:32.218 00:41.091 00:51.173 00:59.954 1 S