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 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 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 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 C63 2022 02:21.325
Tyre: S
02:21.851 7 laps / 4 cuts
11 Bayern Racing STM Mercedes 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 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 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 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 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 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