SRV Lausitzring - Layout GP (3xDRS)

27 Feb 22 22:14 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 01:42.284
Tyre: M
01:44.060 16 laps / 6 cuts 21 - 87
2 Stiftung Plankentest II STM BMW M4 2022 01:42.933
Tyre: H
01:44.471 47 laps / 12 cuts 2 - 16
3 HabAuchKeins STM BMW M4 2022 01:43.079
Tyre: M
01:44.158 11 laps / 2 cuts 15 - 156
4 Stiftung Plankentest I STM Audi RS5 2022 01:44.805
Tyre: H
01:46.871 15 laps / 5 cuts 8 - 24
5 HW Performance STM Mercedes C63 2022 01:48.688
Tyre: H
02:04.371 13 laps / 5 cuts 22 - 31
6 Bayern Racing STM Mercedes C63 2022 01:55.220
Tyre: H
02:02.650 14 laps / 3 cuts 13 - 18
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 48.2 X: 0.8 Y: -0.2 Z: 2.2 X: -364.9 Y: -7.7 Z: 145.9 17:56:54 (CET)
2 Collision with environment 1.2 X: -1.0 Y: -0.4 Z: 1.8 X: -9.9 Y: -8.7 Z: -189.3 18:15:44 (CET)
3 Collision with environment 62.8 X: 0.9 Y: -0.4 Z: 2.2 X: -202.9 Y: -8.4 Z: -136.1 18:17:49 (CET)
4 Collision with environment 21.4 X: -1.0 Y: -0.4 Z: 1.8 X: 295.2 Y: -8.8 Z: 510.7 18:22:09 (CET)
5 Collision with environment 49.0 X: -0.9 Y: -0.3 Z: 2.2 X: 668.4 Y: -8.3 Z: -170.1 18:24:35 (CET)
6 Collision with environment 11.4 X: -1.0 Y: -0.3 Z: 1.8 X: 651.3 Y: -8.0 Z: -234.3 18:24:40 (CET)
7 Collision with environment 65.6 X: -0.8 Y: -0.3 Z: -2.4 X: -122.1 Y: -8.7 Z: 283.1 18:29:54 (CET)
8 Collision with environment 38.1 X: 0.8 Y: -0.0 Z: -2.4 X: -139.8 Y: -8.4 Z: 274.9 18:30:09 (CET)
9 Collision with environment 26.2 X: -0.9 Y: -0.3 Z: 2.2 X: -343.2 Y: -8.0 Z: 186.3 19:00:19 (CET)
10 Collision with environment 58.9 X: 0.9 Y: -0.4 Z: 2.1 X: 393.2 Y: -8.8 Z: 529.0 19:05:29 (CET)
11 Collision with environment 46.4 X: -0.9 Y: 0.3 Z: 1.6 X: 192.1 Y: -7.5 Z: 150.5 19:13:44 (CET)
12 Collision with environment 12.0 X: -1.0 Y: -0.4 Z: -1.0 X: 667.3 Y: -8.3 Z: -177.3 19:17:10 (CET)
13 Collision with environment 7.5 X: -1.0 Y: -0.4 Z: 0.2 X: -179.7 Y: -8.8 Z: 295.9 19:28:10 (CET)
14 Collision with environment 88.1 X: 0.8 Y: -0.3 Z: 2.2 X: 393.1 Y: -8.8 Z: 529.0 19:38:05 (CET)
15 Collision with environment 14.1 X: -1.0 Y: -0.4 Z: 1.8 X: -166.0 Y: -8.8 Z: 302.1 20:09:35 (CET)
16 Collision with environment 29.5 X: 0.9 Y: -0.4 Z: 2.2 X: -202.5 Y: -8.4 Z: -136.5 20:11:35 (CET)
17 Collision with environment 56.9 X: 0.9 Y: -0.4 Z: 2.1 X: -202.6 Y: -8.4 Z: -136.4 20:11:40 (CET)
18 Collision with environment 103.9 X: 0.9 Y: -0.3 Z: 2.2 X: 393.1 Y: -8.7 Z: 529.0 20:17:50 (CET)
19 Collision with environment 15.3 X: -0.9 Y: -0.3 Z: -1.9 X: -137.5 Y: -8.5 Z: -153.7 20:18:15 (CET)
20 Collision with environment 8.1 X: 0.9 Y: -0.4 Z: 1.9 X: -203.3 Y: -8.4 Z: -135.7 20:20:35 (CET)
21 Collision with environment 60.0 X: 0.9 Y: -0.4 Z: 2.1 X: -203.1 Y: -8.4 Z: -136.0 20:26:25 (CET)
22 Collision with environment 7.7 X: -1.0 Y: -0.3 Z: -1.0 X: -144.0 Y: -8.7 Z: 312.0 20:49:35 (CET)
Car Env Rel
SRV Lausitzring - Layout GP (3xDRS) SRV Lausitzring - Layout GP (3xDRS) collisions

There were no penalties in this session.

1st Fred Dohnke in STM Mercedes C63 2022
Best: 01:42.284, Potential: 01:42.152
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:08.777 00:56.643 00:44.055 00:28.079 1 M
2 01:43.597 00:34.742 00:42.012 00:26.843 0 M
3 01:43.271 00:34.759 00:41.445 00:27.067 0 M
4 01:43.116 00:34.567 00:41.535 00:27.014 0 M
5 01:44.251 00:34.820 00:42.242 00:27.189 1 M
6 02:17.156 01:04.391 00:45.460 00:27.305 1 M
7 01:43.088 00:34.473 00:41.719 00:26.896 0 M
8 01:42.936 00:34.499 00:41.599 00:26.838 0 M
9 01:42.284
L
L
00:34.222
S
S
00:41.495 00:26.567
S
S
0 M
10 01:42.395 00:34.356 00:41.363
S
S
00:26.676 0 M
11 03:16.383 02:05.292 00:43.659 00:27.432 1 M
12 01:42.546 00:34.321 00:41.476 00:26.749 0 M
13 01:53.724 00:34.344 00:52.271 00:27.109 0 M
14 01:43.652 00:34.532 00:42.066 00:27.054 0 M
15 01:43.588
C
00:34.329 00:42.228 00:27.031 1 M
16 02:09.920 00:58.964 00:43.515 00:27.441 1 M
2nd Pascal Hein in STM BMW M4 2022
Best: 01:42.933, Potential: 01:42.704
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:02.676 00:51.148 00:44.478 00:27.050 1 H
2 01:43.936 00:34.731 00:42.277 00:26.928 0 H
3 01:43.199 00:34.421 00:42.039 00:26.739
S
0 H
4 01:43.885 00:34.513 00:42.417 00:26.955 0 H
5 01:43.623 00:34.701 00:41.966 00:26.956 0 H
6 01:43.499 00:34.645 00:41.998 00:26.856 0 H
7 01:43.332 00:34.706 00:41.805 00:26.821 0 H
8 02:18.969 01:08.530 00:43.321 00:27.118 1 H
9 01:43.162 00:34.632 00:41.683 00:26.847 0 H
10 01:43.118 00:34.628 00:41.689 00:26.801 0 H
11 05:14.571 04:03.786 00:43.479 00:27.306 0 H
12 02:31.604 01:20.959 00:43.663 00:26.982 1 H
13 01:43.584 00:34.725 00:42.039 00:26.820 0 H
14 01:43.113 00:34.537 00:41.724 00:26.852 0 H
15 01:42.937 00:34.519 00:41.648 00:26.770 0 H
16 06:26.952 05:16.927 00:42.876 00:27.149 1 H
17 01:44.296 00:34.591 00:42.597 00:27.108 0 H
18 01:43.141 00:34.449 00:41.868 00:26.824 0 H
19 01:48.924 00:34.511 00:47.350 00:27.063 0 H
20 01:43.252 00:34.632 00:41.728 00:26.892 0 H
21 01:43.191 00:34.435 00:41.945 00:26.811 0 H
22 02:49.002 01:38.689 00:43.115 00:27.198 1 H
23 01:43.851 00:34.609 00:42.138 00:27.104 0 H
24 01:43.635 00:34.713 00:42.075 00:26.847 0 H
25 01:43.535 00:34.492 00:42.057 00:26.986 0 H
26 01:43.039 00:34.499 00:41.734 00:26.806 0 H
27 12:50.869 11:39.935 00:43.759 00:27.175 1 H
28 01:43.452 00:34.826 00:41.706 00:26.920 0 H
29 02:02.665 00:34.425 00:57.798 00:30.442 0 H
30 01:44.005 00:34.826 00:42.148 00:27.031 0 H
31 03:19.887 02:09.871 00:42.952 00:27.064 1 H
32 01:43.212 00:34.559 00:41.778 00:26.875 0 H
33 01:42.933
L
00:34.398 00:41.755 00:26.780 0 H
34 03:22.436 02:11.926 00:43.439 00:27.071 1 H
35 01:43.358 00:34.459 00:41.954 00:26.945 0 H
36 03:48.945 02:38.637 00:43.092 00:27.216 1 H
37 02:05.140 00:54.310 00:43.636 00:27.194 1 H
38 01:43.613 00:34.835 00:41.810 00:26.968 0 H
39 01:43.282 00:34.788 00:41.701 00:26.793 0 H
40 01:42.983 00:34.467 00:41.696 00:26.820 0 H
41 01:43.340 00:34.535 00:41.958 00:26.847 0 H
42 01:54.573 00:34.535 00:41.923 00:38.115 0 H
43 02:12.412 00:59.337 00:45.985 00:27.090 1 H
44 01:43.946 00:34.777 00:41.971 00:27.198 0 H
45 02:17.014 01:06.328 00:43.447 00:27.239 1 H
46 01:43.424 00:34.322
S
00:42.093 00:27.009 0 H
47 01:42.985 00:34.576 00:41.643
S
00:26.766 0 H
3rd Jean Ora in STM BMW M4 2022
Best: 01:43.079, Potential: 01:42.733
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:13.561 01:02.668 00:44.055 00:26.838 1 M
2 01:46.026 00:34.925 00:44.046 00:27.055 0 M
3 01:43.292 00:34.686 00:41.719 00:26.887 0 M
4 01:43.556 00:34.733 00:42.120 00:26.703 0 M
5 01:43.079
L
00:34.720 00:41.513
S
00:26.846 0 M
6 03:03.832 01:04.312 01:28.861 00:30.659 1 M
7 01:45.054 00:35.691 00:42.502 00:26.861 0 M
8 01:43.517 00:35.018 00:41.783 00:26.716 0 M
9 01:45.483 00:34.527
S
00:44.023 00:26.933 0 M
10 01:44.319 00:34.685 00:42.733 00:26.901 0 M
11 01:43.103 00:34.798 00:41.612 00:26.693
S
0 M
4th Tim Quoos in STM Audi RS5 2022
Best: 01:44.805, Potential: 01:44.354
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:15.614 03:03.097 00:44.654 00:27.863 1 H
2 01:48.655 00:36.007 00:42.993 00:29.655 0 H
3 01:59.084 00:42.719 00:48.628 00:27.737 0 H
4 01:46.229 00:35.309 00:43.452 00:27.468 0 H
5 02:58.760 01:46.410 00:44.621 00:27.729 1 H
6 03:23.663 02:11.857 00:44.482 00:27.324 1 H
7 01:45.591 00:35.391 00:42.884 00:27.316 0 H
8 01:44.814 00:35.257 00:42.394
S
00:27.163 0 H
9 16:49.412 15:37.624 00:44.401 00:27.387 1 H
10 01:44.898 00:35.152 00:42.638 00:27.108 0 H
11 01:44.868 00:35.144 00:42.602 00:27.122 0 H
12 01:44.922 00:34.865
S
00:42.782 00:27.275 0 H
13 01:44.805
L
00:35.072 00:42.638 00:27.095
S
0 H
14 01:44.845 00:35.001 00:42.561 00:27.283 0 H
15 02:00.727 00:34.935 00:42.439 00:43.353 1 H
5th Dirk Wiedemann in STM Mercedes C63 2022
Best: 01:48.688, Potential: 01:48.624
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:26.103 01:03.122 00:52.160 00:30.821 1 H
2 02:11.818 00:55.629 00:47.596 00:28.593 0 H
3 01:57.748
C
00:41.450 00:47.552 00:28.746 1 H
4 02:00.588 00:44.564 00:47.804 00:28.220 0 H
5 01:53.692 00:38.924 00:46.945 00:27.823 0 H
6 01:52.415 00:38.498 00:46.000 00:27.917 0 H
7 03:21.990 02:05.561 00:47.998 00:28.431 1 H
8 03:07.118 01:52.400 00:46.067 00:28.651 0 H
9 01:51.112 00:37.586 00:45.280 00:28.246 0 H
10 02:59.992 01:44.343 00:47.308 00:28.341 1 H
11 01:49.544 00:36.937 00:44.897 00:27.710
S
0 H
12 01:49.497
C
00:36.493 00:45.297 00:27.707 1 H
13 01:48.688
L
00:36.180
S
00:44.734
S
00:27.774 0 H
6th Herbert Aeckerle in STM Mercedes C63 2022
Best: 01:55.220, Potential: 01:54.955
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 06:42.575 04:57.420 01:11.387 00:33.768 1 H
2 01:58.492 00:39.512 00:48.754 00:30.226 0 H
3 01:59.814 00:39.911 00:47.885 00:32.018 0 H
4 02:01.252 00:39.753 00:50.035 00:31.464 0 H
5 01:58.234 00:39.965 00:48.961 00:29.308 0 H
6 02:04.089 00:40.870 00:53.820 00:29.399 1 H
7 02:21.597 00:57.051 00:51.799 00:32.747 1 H
8 02:16.300 00:43.515 00:50.359 00:42.426 0 H
9 02:09.255 00:48.263 00:50.310 00:30.682 0 H
10 02:04.488 00:40.913 00:52.254 00:31.321 0 H
11 01:55.731 00:39.122 00:47.516 00:29.093 0 H
12 01:56.072 00:39.433 00:47.097
S
00:29.542 0 H
13 02:14.300 00:52.617 00:49.473 00:32.210 0 H
14 01:55.220
L
00:38.806
S
00:47.362 00:29.052
S
0 H