SRV Spa layout GP (3xDRS)

27 Jan 22 21:10 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
1 BMS Racing STM Mercedes AMG C63 2022 02:14.122
Tyre: S
02:18.136 19 laps / 6 cuts
2 Stiftung Plankentest II STM BMW M4 2022 02:15.396
Tyre: H
02:16.324 27 laps / 11 cuts
3 Stiftung Plankentest I STM Audi RS5 2022 02:15.600
Tyre: H
02:16.786 16 laps / 4 cuts
4 HabAuchKeins STM BMW M4 2022 02:16.398
Tyre: H
02:17.504 19 laps / 6 cuts
5 BMS Racing STM Mercedes AMG C63 2022 02:16.522
Tyre: H
02:18.074 22 laps / 8 cuts
6 SRV Jägermeister eSport II STM Audi RS5 2022 02:17.218
Tyre: H
02:19.067 16 laps / 11 cuts
7 SRV Jägermeister eSport I STM Audi RS5 2022 02:17.241
Tyre: H
02:18.472 18 laps / 7 cuts
8 CT Motorsport STM Mercedes AMG C63 2022 02:17.323
Tyre: H
02:18.709 21 laps / 8 cuts
9 HabKeins STM BMW M4 2022 02:18.280
Tyre: H
02:20.189 12 laps / 6 cuts
10 Bayern Racing STM Mercedes AMG C63 2022 02:21.325
Tyre: S
02:21.851 7 laps / 4 cuts
11 Bayern Racing STM Mercedes AMG C63 2022 02:28.070
Tyre: S
02:34.326 20 laps / 8 cuts
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 37.7 X: -0.9 Y: -0.4 Z: -1.9 X: -182.6 Y: 15.5 Z: -504.3 18:54:31 (CET)
2 Collision with environment 14.2 X: -1.0 Y: -0.4 Z: 1.8 X: -153.0 Y: 16.3 Z: -517.3 18:54:36 (CET)
3 Collision with environment 61.7 X: 0.9 Y: -0.4 Z: 2.2 X: -252.2 Y: 16.6 Z: -898.0 19:01:59 (CET)
4 Collision with environment 16.6 X: -0.9 Y: 0.1 Z: -1.8 X: -337.6 Y: 21.4 Z: -913.0 19:03:29 (CET)
5 Collision with environment 9.7 X: -0.8 Y: -0.3 Z: -2.4 X: -129.3 Y: 14.8 Z: -456.7 19:05:39 (CET)
6 Collision with environment 66.0 X: 0.9 Y: -0.4 Z: 2.2 X: 607.0 Y: 74.0 Z: 822.7 19:11:16 (CET)
7 Collision with environment 54.4 X: -0.6 Y: -0.4 Z: 2.3 X: -332.3 Y: 20.6 Z: -910.9 19:17:44 (CET)
8 Collision with environment 30.6 X: 0.7 Y: -0.4 Z: 2.3 X: -526.1 Y: -26.7 Z: 946.6 19:18:52 (CET)
9 Collision with environment 9.3 X: -1.0 Y: -0.4 Z: 0.2 X: -25.8 Y: -0.8 Z: -669.0 19:25:32 (CET)
10 Collision with environment 41.0 X: 0.7 Y: -0.4 Z: 2.3 X: -203.2 Y: 16.5 Z: -537.1 19:31:10 (CET)
11 Collision with environment 27.2 X: 0.9 Y: -0.4 Z: 2.2 X: -190.7 Y: 15.9 Z: -517.2 19:36:22 (CET)
12 Collision with environment 3.0 X: 0.9 Y: -0.4 Z: 2.2 X: 362.6 Y: 30.9 Z: 782.9 19:39:35 (CET)
13 Collision with environment 2.4 X: -1.0 Y: -0.4 Z: 1.8 X: 1.2 Y: -2.5 Z: -639.5 19:42:49 (CET)
14 Collision with environment 13.2 X: 0.9 Y: -0.4 Z: 2.2 X: -368.6 Y: 23.0 Z: -925.5 19:42:51 (CET)
15 Collision with environment 6.5 X: 0.8 Y: -0.0 Z: -2.4 X: -291.8 Y: 21.3 Z: -721.5 19:54:57 (CET)
16 Collision with environment 25.0 X: -0.7 Y: -0.4 Z: 2.3 X: -543.2 Y: -27.4 Z: 935.1 20:00:24 (CET)
17 Collision with environment 7.9 X: 1.0 Y: -0.4 Z: 1.8 X: 347.6 Y: 28.1 Z: 742.7 20:02:35 (CET)
18 Collision with environment 0.4 X: 0.9 Y: -0.4 Z: 2.2 X: 343.5 Y: 27.2 Z: 730.9 20:02:40 (CET)
19 Collision with car 7.8 X: 0.7 Y: -0.3 Z: 2.3 X: -156.4 Y: 15.0 Z: -486.5 20:16:44 (CET)
20 Collision with car 7.4 X: 0.3 Y: -0.3 Z: -2.4 X: -156.3 Y: 15.0 Z: -486.2 20:16:46 (CET)
21 Collision with environment 12.8 X: 0.9 Y: -0.4 Z: -1.9 X: -354.8 Y: -19.4 Z: 836.9 20:17:10 (CET)
22 Collision with environment 2.0 X: -0.9 Y: -0.3 Z: 2.2 X: -382.7 Y: -19.4 Z: 838.4 20:24:10 (CET)
23 Collision with car 42.2 X: -0.6 Y: -0.2 Z: 2.2 X: -157.5 Y: 15.4 Z: -493.2 20:27:10 (CET)
24 Collision with car 40.5 X: 0.8 Y: -0.2 Z: -2.3 X: -157.4 Y: 15.5 Z: -493.3 20:27:10 (CET)
25 Collision with environment 5.4 X: -0.7 Y: -0.3 Z: 2.3 X: -342.4 Y: 21.3 Z: -914.9 20:27:40 (CET)
26 Collision with environment 47.8 X: -0.9 Y: -0.4 Z: 2.2 X: -318.5 Y: 19.6 Z: -904.9 20:28:20 (CET)
27 Collision with environment 19.7 X: 0.9 Y: -0.3 Z: 2.2 X: -341.3 Y: -19.1 Z: 816.7 20:32:11 (CET)
28 Collision with environment 9.6 X: -0.7 Y: -0.3 Z: 2.3 X: -180.6 Y: 15.4 Z: -501.2 20:32:25 (CET)
29 Collision with environment 2.2 X: -1.0 Y: -0.4 Z: 1.8 X: -2.1 Y: -2.3 Z: -643.1 20:37:18 (CET)
30 Collision with environment 3.3 X: -0.9 Y: -0.4 Z: 2.2 X: -127.6 Y: 15.3 Z: -487.4 20:40:47 (CET)
31 Collision with environment 6.2 X: -0.9 Y: -0.4 Z: 2.2 X: 506.3 Y: 52.9 Z: 307.1 20:41:15 (CET)
32 Collision with environment 28.8 X: -0.9 Y: -0.3 Z: 2.2 X: 350.3 Y: 44.7 Z: 947.0 20:43:51 (CET)
33 Collision with environment 81.9 X: -0.9 Y: -0.4 Z: 2.2 X: 373.7 Y: 43.1 Z: 931.1 20:48:15 (CET)
34 Collision with environment 14.1 X: -0.9 Y: -0.3 Z: 2.2 X: -194.0 Y: 10.9 Z: -834.9 20:49:05 (CET)
35 Collision with environment 2.7 X: -0.9 Y: -0.3 Z: -1.9 X: -194.1 Y: 10.9 Z: -835.0 20:49:10 (CET)
36 Collision with environment 30.2 X: 0.9 Y: -0.3 Z: 2.2 X: -390.8 Y: -20.5 Z: 897.9 21:08:50 (CET)
Car Env Rel
SRV Spa layout GP (3xDRS) SRV Spa layout GP (3xDRS) collisions

There were no penalties in this session.

1st Fred Dohnke in STM Mercedes AMG C63 2022
Best: 02:14.122, Potential: 02:14.122
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 06:20.238 04:37.871 01:05.669 00:36.698 1 H
2 02:17.259 00:39.262 01:01.632 00:36.365 0 H
3 02:16.269 00:39.127 01:01.011 00:36.131 0 H
4 02:22.533 00:40.661 01:04.971 00:36.901 0 H
5 02:17.564 00:39.383 01:01.831 00:36.350 0 H
6 04:24.702 02:18.976 01:02.563 01:03.163 1 H
7 02:23.405 00:42.119 01:05.115 00:36.171 0 H
8 02:16.933 00:39.224 01:01.417 00:36.292 0 H
9 02:27.011 00:45.307 01:05.119 00:36.585 0 H
10 03:53.512 02:12.870 01:03.909 00:36.733 1 H
11 02:16.319
C
00:39.110 01:01.299 00:35.910 1 H
12 02:16.042 00:39.459 01:00.610 00:35.973 0 H
13 02:16.923 00:39.385 01:00.822 00:36.716 0 H
14 02:15.729 00:39.032 01:00.832 00:35.865 0 H
15 08:18.176 06:37.359 01:04.129 00:36.688 1 H
16 02:16.110 00:39.233 01:00.620 00:36.257 0 H
17 02:15.868 00:39.194 01:00.755 00:35.919 0 H
18 06:43.962 05:03.828 01:03.427 00:36.707 1 S
19 02:14.122
L
L
00:38.965
S
S
00:59.472
S
S
00:35.685
S
S
0 S
2nd Pascal Hein in STM BMW M4 2022
Best: 02:15.396, Potential: 02:15.261
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:43.796 01:01.268 01:03.855 00:38.673 1 H
2 02:19.934 00:41.961 01:01.587 00:36.386 0 H
3 05:01.588 03:23.736 01:01.677 00:36.175 1 H
4 02:16.436 00:39.799 01:00.673 00:35.964 0 H
5 02:15.768 00:39.665 01:00.310 00:35.793
S
0 H
6 04:33.784 02:55.473 01:02.050 00:36.261 1 H
7 02:16.697 00:39.889 01:00.408 00:36.400 0 H
8 02:16.452 00:39.868 01:00.457 00:36.127 0 H
9 04:09.407 02:31.924 01:01.267 00:36.216 1 H
10 02:16.119 00:39.782 01:00.363 00:35.974 0 H
11 05:13.290 03:35.644 01:01.470 00:36.176 1 H
12 02:16.142 00:39.789 01:00.425 00:35.928 0 H
13 02:15.821 00:39.715 01:00.214 00:35.892 0 H
14 08:24.655 06:46.344 01:01.348 00:36.963 1 H
15 03:27.347 01:49.585 01:01.272 00:36.490 1 H
16 02:16.568 00:39.819 01:00.448 00:36.301 0 H
17 02:24.767 00:47.414 01:01.484 00:35.869 1 H
18 02:16.213 00:39.670 00:59.985 00:36.558 0 H
19 04:17.275 02:39.504 01:01.811 00:35.960 1 H
20 02:15.874 00:39.700 01:00.098 00:36.076 0 H
21 02:15.563 00:39.596 01:00.026 00:35.941 0 H
22 02:16.690 00:39.603 01:01.128 00:35.959 0 H
23 04:26.748 02:49.543 01:01.164 00:36.041 1 H
24 02:15.396
L
00:39.577
S
00:59.927 00:35.892 0 H
25 03:50.953 02:12.974 01:01.875 00:36.104 1 H
26 02:16.104 00:39.722 01:00.260 00:36.122 0 H
27 02:15.418 00:39.671 00:59.891
S
00:35.856 0 H
3rd Tim Quoos in STM Audi RS5 2022
Best: 02:15.600, Potential: 02:15.294
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:41.304 01:03.082 01:02.514 00:35.708 1 H
2 02:15.891 00:39.694 01:00.449 00:35.748 0 H
3 02:16.007 00:39.699 01:00.466 00:35.842 0 H
4 02:49.157 01:12.097 01:00.926 00:36.134 1 H
5 02:15.718 00:39.702 01:00.187 00:35.829 0 H
6 02:15.600
L
00:39.713 01:00.076
S
00:35.811 0 H
7 02:21.776 00:39.640 01:00.975 00:41.161 1 H
8 03:21.359 01:42.575 01:02.343 00:36.441 1 H
9 02:16.357 00:39.589 01:01.025 00:35.743
S
0 H
10 02:18.655 00:41.378 01:01.250 00:36.027 0 H
11 02:19.037 00:39.475
S
01:01.412 00:38.150 0 H
12 02:15.750 00:39.580 01:00.242 00:35.928 0 H
13 02:18.149 00:39.496 01:00.498 00:38.155 0 H
14 02:15.785 00:39.539 01:00.337 00:35.909 0 H
15 02:17.459 00:39.495 01:01.595 00:36.369 0 H
16 02:17.027 00:39.593 01:00.638 00:36.796 0 H
4th Jean Ora in STM BMW M4 2022
Best: 02:16.398, Potential: 02:15.893
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:31.760 02:51.456 01:03.558 00:36.746 1 H
2 02:18.229 00:40.246 01:01.488 00:36.495 0 H
3 02:19.114 00:40.127 01:02.294 00:36.693 0 H
4 03:13.060 01:34.033 01:02.469 00:36.558 1 H
5 02:16.941 00:39.754 01:00.898 00:36.289 0 H
6 02:17.124 00:39.509 01:00.980 00:36.635 0 H
7 02:17.519 00:39.582 01:01.190 00:36.747 0 H
8 04:25.984 02:37.610 01:07.059 00:41.315 1 H
9 02:19.483 00:40.271 01:03.131 00:36.081 0 H
10 02:22.277 00:39.785 01:01.335 00:41.157 1 H
11 02:58.149 01:18.888 01:03.180 00:36.081 1 H
12 02:16.678 00:39.595 01:01.060 00:36.023 0 H
13 02:16.634 00:39.646 01:01.038 00:35.950
S
0 H
14 02:17.599 00:39.616 01:01.862 00:36.121 0 H
15 05:47.324 04:06.641 01:03.320 00:37.363 1 H
16 02:17.347 00:39.760 01:00.592 00:36.995 0 H
17 02:17.494 00:40.163 01:00.710 00:36.621 0 H
18 02:17.003 00:39.650 01:00.904 00:36.449 0 H
19 02:16.398
L
00:39.472
S
01:00.471
S
00:36.455 0 H
5th Andreas Braun in STM Mercedes AMG C63 2022
Best: 02:16.522, Potential: 02:16.144
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:49.120 01:59.473 01:03.509 00:46.138 1 H
2 02:18.961 00:39.894 01:02.473 00:36.594 0 H
3 02:18.106 00:39.741 01:01.731 00:36.634 0 H
4 02:17.480 00:39.439 01:01.475 00:36.566 0 H
5 02:18.652 00:39.625 01:01.596 00:37.431 0 H
6 02:16.680 00:39.470 01:01.146 00:36.064 0 H
7 07:15.680 05:34.174 01:04.710 00:36.796 1 H
8 02:25.519 00:39.755 01:00.926
S
00:44.838 0 H
9 03:48.907 02:08.787 01:03.584 00:36.536 1 H
10 02:20.293 00:40.568 01:02.870 00:36.855 1 H
11 02:17.876 00:39.709 01:01.655 00:36.512 0 H
12 05:02.839 03:22.493 01:03.680 00:36.666 1 H
13 02:17.633 00:39.668 01:01.691 00:36.274 0 H
14 04:06.972 02:27.863 01:02.771 00:36.338 1 H
15 02:16.759 00:39.352 01:01.515 00:35.892
S
0 H
16 02:16.536 00:39.394 01:01.047 00:36.095 0 H
17 02:17.079 00:39.374 01:01.619 00:36.086 0 H
18 06:05.035 04:25.833 01:02.955 00:36.247 1 H
19 02:16.522
L
00:39.452 01:01.034 00:36.036 0 H
20 02:16.886 00:39.326
S
01:01.083 00:36.477 0 H
21 04:21.390 02:37.826 01:03.261 00:40.303 1 H
22 02:18.347 00:40.455 01:01.703 00:36.189 0 H
6th Michael Weimer in STM Audi RS5 2022
Best: 02:17.218, Potential: 02:17.113
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:25.530 01:44.036 01:04.067 00:37.427 1 H
2 02:19.184 00:40.274 01:02.195 00:36.715 0 H
3 04:41.617 03:01.901 01:02.866 00:36.850 1 S
4 05:08.435 03:26.069 01:05.979 00:36.387 1 H
5 02:17.766 00:39.467
S
01:02.186 00:36.113 0 H
6 02:17.218
L
00:39.572 01:01.592
S
00:36.054
S
0 H
7 07:37.025 05:56.932 01:02.572 00:37.521 1 H
8 05:03.068 03:24.311 01:01.885 00:36.872 1 H
9 04:55.365 03:15.726 01:03.054 00:36.585 1 H
10 06:22.500 04:39.927 01:05.272 00:37.301 1 H
11 02:19.724 00:39.834 01:02.968 00:36.922 0 H
12 04:06.485 02:27.053 01:03.136 00:36.296 1 H
13 02:21.446 00:39.899 01:02.924 00:38.623 0 H
14 05:02.385 03:22.318 01:03.243 00:36.824 1 H
15 04:33.906 02:54.303 01:03.072 00:36.531 1 H
16 02:18.595
C
00:39.455 01:02.523 00:36.617 1 H
7th Eileen Weimer in STM Audi RS5 2022
Best: 02:17.241, Potential: 02:17.012
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:42.591 01:00.490 01:04.220 00:37.881 1 S
2 02:21.281 00:40.824 01:03.036 00:37.421 1 S
3 04:07.390 02:27.828 01:02.892 00:36.670 1 H
4 02:17.705 00:39.749 01:01.421 00:36.535 0 H
5 02:17.815 00:39.764 01:01.452 00:36.599 0 H
6 05:01.600 03:19.126 01:05.300 00:37.174 1 H
7 02:17.940 00:39.893 01:01.767 00:36.280
S
0 H
8 02:17.708 00:39.883 01:01.483 00:36.342 0 H
9 03:25.617 01:45.568 01:03.176 00:36.873 1 H
10 02:17.348 00:39.811 01:01.195 00:36.342 0 H
11 02:18.643 00:39.985 01:01.537 00:37.121 0 H
12 03:06.679 01:27.845 01:02.316 00:36.518 1 H
13 02:17.526 00:39.948 01:01.038
S
00:36.540 0 H
14 02:18.420 00:39.789 01:01.388 00:37.243 0 H
15 05:13.532 03:34.996 01:01.925 00:36.611 1 H
16 02:24.992 00:40.161 01:03.400 00:41.431 0 H
17 02:17.856 00:39.783 01:01.712 00:36.361 0 H
18 02:17.241
L
00:39.694
S
01:01.178 00:36.369 0 H
8th Lars Borkowski in STM Mercedes AMG C63 2022
Best: 02:17.323, Potential: 02:17.094
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:19.455 02:30.622 01:06.307 00:42.526 1 H
2 02:20.004 00:39.942 01:03.504 00:36.558 0 H
3 02:20.926 00:42.142 01:02.464 00:36.320 0 H
4 02:18.731 00:39.682 01:02.703 00:36.346 0 H
5 11:24.556 09:41.627 01:04.467 00:38.462 1 H
6 02:19.767 00:40.195 01:02.982 00:36.590 0 H
7 02:19.117 00:39.672 01:02.847 00:36.598 0 H
8 02:20.901 00:40.307 01:03.883 00:36.711 1 H
9 02:18.257 00:39.608 01:02.316 00:36.333 0 H
10 06:31.773 04:50.765 01:04.175 00:36.833 1 H
11 02:23.424 00:39.748 01:03.122 00:40.554 1 H
12 02:18.397 00:39.640 01:02.685 00:36.072 0 H
13 02:17.440 00:39.430
S
01:01.641
S
00:36.369 0 H
14 02:17.323
L
00:39.466 01:01.834 00:36.023
S
0 H
15 06:21.061 04:40.230 01:04.232 00:36.599 1 H
16 02:20.694 00:39.790 01:03.567 00:37.337 1 H
17 02:19.036 00:39.644 01:03.095 00:36.297 0 H
18 02:17.733 00:39.493 01:01.996 00:36.244 0 H
19 02:18.460 00:39.505 01:02.649 00:36.306 0 H
20 02:57.634 01:16.870 01:03.932 00:36.832 1 H
21 02:18.034 00:39.560 01:02.024 00:36.450 0 H
9th Michael Rasch in STM BMW M4 2022
Best: 02:18.280, Potential: 02:18.199
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:44.468 03:00.357 01:05.218 00:38.893 1 H
2 06:15.365 04:34.745 01:04.260 00:36.360 1 H
3 02:18.396
C
00:39.882 01:02.851 00:35.663 1 H
4 02:19.176 00:40.153 01:02.726 00:36.297
S
0 H
5 02:18.280
L
00:39.591
S
01:02.311
S
00:36.378 0 H
6 02:20.135 00:39.705 01:02.954 00:37.476 0 H
7 02:21.797 00:39.917 01:05.458 00:36.422 0 H
8 07:50.469 06:09.002 01:04.823 00:36.644 1 H
9 02:20.346 00:39.869 01:03.793 00:36.684 0 H
10 03:59.269 02:17.304 01:05.061 00:36.904 1 H
11 02:21.400 00:40.164 01:03.828 00:37.408 0 H
12 10:05.507 08:23.645 01:05.386 00:36.476 1 H
10th Dieter Suessenguth in STM Mercedes AMG C63 2022
Best: 02:21.325, Potential: 02:20.845
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:10.338 01:24.335 01:07.258 00:38.745 1 H
2 05:58.664 04:14.422 01:05.718 00:38.524 1 S
3 04:31.590 02:47.522 01:06.321 00:37.747 1 S
4 02:22.402 00:40.815
S
01:03.702 00:37.885 0 S
5 04:07.051 02:22.979 01:06.096 00:37.976 1 S
6 02:21.827 00:41.009 01:03.788 00:37.030
S
0 S
7 02:21.325
L
00:40.970 01:03.000
S
00:37.355 0 S
11th Herbert Aeckerle in STM Mercedes AMG C63 2022
Best: 02:28.070, Potential: 02:27.485
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:09.204 01:18.220 01:11.271 00:39.713 1 S
2 02:35.628 00:42.623 01:11.794 00:41.211 1 S
3 02:33.859 00:43.829 01:09.944 00:40.086 0 S
4 02:30.468 00:42.238 01:09.269 00:38.961 0 S
5 02:40.776 00:42.574 01:07.802
S
00:50.400 0 S
6 02:40.551 00:48.010 01:13.139 00:39.402 0 S
7 02:29.958 00:41.971 01:08.976 00:39.011 0 S
8 03:13.793 01:16.775 01:16.509 00:40.509 1 S
9 02:35.010 00:45.048 01:09.804 00:40.158 0 S
10 02:32.032 00:43.303 01:09.102 00:39.627 0 S
11 02:31.998 00:41.433
S
01:09.142 00:41.423 0 S
12 02:36.987 00:42.812 01:11.897 00:42.278 0 S
13 02:40.456 00:42.083 01:12.104 00:46.269 0 S
14 02:37.136 00:42.071 01:12.235 00:42.830 1 S
15 02:28.070
L
00:41.735 01:08.085 00:38.250
S
0 S
16 03:13.916 01:23.018 01:12.235 00:38.663 1 S
17 02:35.828 00:41.124 01:13.142 00:41.562 1 S
18 02:31.751 00:42.221 01:08.671 00:40.859 0 S
19 02:31.729
C
00:41.916 01:09.714 00:40.099 1 S
20 02:49.548 00:41.721 01:17.346 00:50.481 1 S