SRV Spa layout GP (3xDRS)

08 Feb 22 00:24 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 Stiftung Plankentest II STM BMW M4 2022 02:12.367
Tyre: S
02:13.546 29 laps / 5 cuts
2 Stiftung Plankentest I STM Audi RS5 2022 02:12.987
Tyre: S
02:14.209 21 laps / 6 cuts
3 BMS Racing STM Mercedes AMG C63 2022 02:13.219
Tyre: S
02:14.593 11 laps / 4 cuts
4 SRV Jägermeister eSport II STM Audi RS5 2022 02:13.548
Tyre: S
02:16.134 32 laps / 13 cuts
5 Horizont Personalmanagement Racing STM Audi RS5 2022 02:13.596
Tyre: S
02:18.319 34 laps / 12 cuts
6 Stiftung Plankentest I STM Audi RS5 2022 02:13.817
Tyre: S
02:18.085 19 laps / 5 cuts
7 HabKeins STM BMW M4 2022 02:14.040
Tyre: S
02:16.963 17 laps / 7 cuts
8 CRM Motorsport STM BMW M4 2022 02:14.089
Tyre: S
02:18.749 13 laps / 7 cuts
9 BMS Racing STM Mercedes AMG C63 2022 02:14.164
Tyre: S
02:16.899 11 laps / 5 cuts
10 SRV Jägermeister eSport I STM Audi RS5 2022 02:14.170
Tyre: S
02:15.149 15 laps / 4 cuts
11 SRV Jägermeister eSport I STM Audi RS5 2022 02:14.773
Tyre: S
02:16.194 20 laps / 8 cuts
12 HW Performance STM BMW M4 2022 02:15.058
Tyre: S
02:20.892 29 laps / 13 cuts
13 HabAuchKeins STM BMW M4 2022 02:15.171
Tyre: S
02:16.548 12 laps / 6 cuts
14 HabKeins STM BMW M4 2022 02:15.551
Tyre: S
02:17.182 12 laps / 2 cuts
15 CT Motorsport STM Mercedes AMG C63 2022 02:16.010
Tyre: S
02:16.453 6 laps / 4 cuts
16 Micro-Machines Sim Racing II STM Mercedes AMG C63 2022 02:16.154
Tyre: S
02:18.268 20 laps / 6 cuts
17 Horizont Personalmanagement Racing STM BMW M4 2022 02:17.558
Tyre: S
02:23.204 24 laps / 9 cuts
18 Bayern Racing STM Mercedes AMG C63 2022 02:19.025
Tyre: S
02:21.406 18 laps / 7 cuts
19 Bayern Racing STM Mercedes AMG C63 2022 02:25.049
Tyre: H
02:28.580 26 laps / 8 cuts
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 6.7 X: 0.9 Y: -0.3 Z: 2.2 X: -80.9 Y: 4.1 Z: -748.5 19:32:41 (CET)
2 Collision with environment 33.5 X: 0.9 Y: -0.4 Z: 2.2 X: -326.0 Y: 21.5 Z: -776.0 19:38:56 (CET)
3 Collision with environment 75.7 X: 0.9 Y: -0.4 Z: 2.2 X: -136.5 Y: 0.3 Z: -70.5 19:39:01 (CET)
4 Collision with environment 3.4 X: 0.9 Y: -0.4 Z: 2.2 X: -152.5 Y: 1.2 Z: -108.3 19:39:06 (CET)
5 Collision with environment 33.9 X: -1.0 Y: -0.4 Z: 2.0 X: 402.6 Y: 34.9 Z: 819.3 19:39:30 (CET)
6 Collision with environment 33.0 X: 0.6 Y: -0.3 Z: 2.3 X: 346.6 Y: 27.9 Z: 739.8 19:39:35 (CET)
7 Collision with environment 27.4 X: 0.9 Y: -0.4 Z: 2.2 X: -362.3 Y: 22.1 Z: -833.8 19:40:10 (CET)
8 Collision with environment 66.0 X: 0.4 Y: -0.4 Z: 2.3 X: -214.0 Y: 17.1 Z: -554.3 19:48:20 (CET)
9 Collision with environment 143.9 X: 0.8 Y: -0.4 Z: 2.2 X: 209.0 Y: 17.3 Z: -406.5 19:49:17 (CET)
10 Collision with environment 80.1 X: -0.9 Y: -0.4 Z: 2.2 X: 209.3 Y: 21.6 Z: -328.0 19:49:22 (CET)
11 Collision with environment 60.0 X: -0.9 Y: -0.3 Z: 2.2 X: 558.7 Y: 72.6 Z: 692.9 19:56:27 (CET)
12 Collision with environment 63.1 X: -0.7 Y: -0.4 Z: 2.3 X: -214.0 Y: 17.1 Z: -554.3 19:56:35 (CET)
13 Collision with environment 66.7 X: -0.2 Y: -0.3 Z: 2.3 X: 369.6 Y: 43.5 Z: 934.0 20:01:33 (CET)
14 Collision with environment 6.1 X: -0.9 Y: -0.3 Z: 2.2 X: -372.2 Y: -18.8 Z: 818.1 20:04:07 (CET)
15 Collision with environment 6.1 X: 0.9 Y: -0.4 Z: 2.2 X: -351.6 Y: -19.3 Z: 831.6 20:07:12 (CET)
16 Collision with environment 14.4 X: -1.0 Y: -0.4 Z: 1.8 X: 398.6 Y: 34.2 Z: 811.0 20:13:31 (CET)
17 Collision with environment 51.9 X: 0.9 Y: -0.4 Z: 2.2 X: 351.1 Y: 28.8 Z: 752.7 20:13:36 (CET)
18 Collision with environment 54.8 X: 0.9 Y: -0.4 Z: 2.2 X: -377.1 Y: 23.5 Z: -928.8 20:15:32 (CET)
19 Collision with environment 33.7 X: -0.9 Y: -0.3 Z: 2.2 X: 320.9 Y: 46.9 Z: 967.0 20:15:44 (CET)
20 Collision with environment 38.3 X: -0.9 Y: -0.3 Z: -1.9 X: -598.0 Y: -28.7 Z: 898.2 20:18:53 (CET)
21 Collision with environment 28.1 X: -0.7 Y: -0.4 Z: 2.3 X: 373.7 Y: 43.1 Z: 931.1 20:20:07 (CET)
22 Collision with environment 16.9 X: -0.9 Y: -0.3 Z: 2.2 X: -435.0 Y: 27.3 Z: -950.4 20:22:55 (CET)
23 Collision with environment 25.3 X: 0.0 Y: -0.4 Z: 2.4 X: -177.9 Y: 15.2 Z: -496.9 20:23:22 (CET)
24 Collision with environment 11.4 X: -0.9 Y: -0.3 Z: 2.2 X: 451.1 Y: 44.9 Z: 140.2 20:25:20 (CET)
25 Collision with environment 164.9 X: 0.6 Y: 0.1 Z: 2.1 X: -168.4 Y: 2.6 Z: -145.5 20:28:49 (CET)
26 Collision with environment 15.9 X: 0.9 Y: -0.3 Z: 2.2 X: -190.4 Y: 4.2 Z: -210.4 20:28:54 (CET)
27 Collision with environment 56.2 X: -0.7 Y: -0.3 Z: 2.3 X: -533.5 Y: -27.0 Z: 941.6 20:33:54 (CET)
28 Collision with environment 37.3 X: 0.9 Y: -0.4 Z: 2.2 X: -407.1 Y: 24.7 Z: -928.3 20:33:57 (CET)
29 Collision with environment 3.7 X: -0.9 Y: -0.3 Z: 2.2 X: -545.6 Y: -27.5 Z: 933.5 20:33:59 (CET)
30 Collision with environment 25.2 X: 1.0 Y: -0.3 Z: -0.9 X: -140.5 Y: 0.5 Z: -80.1 20:38:29 (CET)
31 Collision with environment 12.1 X: 1.0 Y: -0.3 Z: -1.0 X: -190.3 Y: 4.2 Z: -210.2 20:38:34 (CET)
32 Collision with car 19.4 X: -1.0 Y: -0.4 Z: 1.4 X: -206.9 Y: 11.6 Z: -441.5 20:42:59 (CET)
33 Collision with environment 57.6 X: -0.9 Y: -0.3 Z: 2.1 X: 588.3 Y: 64.6 Z: 550.2 20:43:00 (CET)
34 Collision with environment 40.1 X: -0.9 Y: -0.3 Z: 2.1 X: 565.7 Y: 73.3 Z: 769.4 20:46:05 (CET)
35 Collision with environment 69.9 X: -0.7 Y: -0.4 Z: 2.3 X: -377.4 Y: 23.6 Z: -929.0 20:49:39 (CET)
36 Collision with environment 50.3 X: 0.9 Y: -0.4 Z: 2.2 X: -267.3 Y: 17.8 Z: -910.0 20:49:44 (CET)
37 Collision with environment 8.9 X: 0.9 Y: -0.4 Z: 2.2 X: -360.0 Y: -19.5 Z: 845.8 20:54:02 (CET)
38 Collision with environment 2.7 X: 0.9 Y: -0.4 Z: 2.2 X: -362.0 Y: -19.6 Z: 849.1 20:54:07 (CET)
39 Collision with environment 40.2 X: 0.9 Y: -0.4 Z: 2.2 X: 608.2 Y: 74.1 Z: 820.8 20:55:42 (CET)
40 Collision with car 23.4 X: 0.9 Y: -0.4 Z: 2.2 X: 197.0 Y: -2.8 Z: 346.3 20:55:50 (CET)
41 Collision with car 16.6 X: -0.9 Y: -0.4 Z: -0.2 X: 197.0 Y: -2.8 Z: 346.3 20:55:54 (CET)
42 Collision with car 4.5 X: 0.1 Y: -0.3 Z: 2.3 X: -155.5 Y: 1.8 Z: -150.3 20:56:39 (CET)
43 Collision with car 6.7 X: -0.8 Y: -0.3 Z: -2.4 X: -154.1 Y: 1.7 Z: -146.8 20:56:39 (CET)
44 Collision with environment 24.5 X: -0.7 Y: -0.4 Z: 2.3 X: 583.7 Y: 72.8 Z: 842.1 20:57:39 (CET)
45 Collision with car 67.9 X: -1.0 Y: -0.4 Z: 1.1 X: 588.7 Y: 73.2 Z: 854.7 20:57:44 (CET)
46 Collision with car 81.2 X: -0.8 Y: -0.3 Z: 2.1 X: 588.6 Y: 73.2 Z: 854.9 20:57:44 (CET)
47 Collision with environment 28.7 X: 0.8 Y: -0.4 Z: 2.2 X: -257.9 Y: 17.1 Z: -902.4 21:04:18 (CET)
48 Collision with environment 51.5 X: -0.9 Y: -0.4 Z: 2.2 X: 330.7 Y: 46.4 Z: 960.2 21:05:02 (CET)
49 Collision with environment 10.2 X: -0.7 Y: -0.4 Z: 2.3 X: 339.3 Y: 45.5 Z: 954.4 21:05:07 (CET)
50 Collision with environment 36.9 X: -0.9 Y: -0.4 Z: -1.9 X: -185.8 Y: 15.6 Z: -509.3 21:07:34 (CET)
51 Collision with environment 17.2 X: -0.9 Y: -0.4 Z: -1.9 X: 404.5 Y: 35.3 Z: 823.7 21:21:13 (CET)
52 Collision with environment 2.0 X: -1.0 Y: -0.3 Z: 1.8 X: -165.4 Y: 9.3 Z: -816.1 21:21:29 (CET)
53 Collision with environment 7.6 X: 0.9 Y: -0.3 Z: -1.9 X: -365.7 Y: -19.6 Z: 855.5 21:25:04 (CET)
54 Collision with car 4.6 X: 1.0 Y: -0.4 Z: 1.8 X: -598.8 Y: -24.3 Z: 694.2 21:28:43 (CET)
55 Collision with car 6.5 X: -1.0 Y: -0.4 Z: -1.6 X: -599.1 Y: -24.4 Z: 694.7 21:28:45 (CET)
56 Collision with environment 27.7 X: -0.9 Y: -0.4 Z: 2.2 X: -368.1 Y: 23.0 Z: -925.3 21:31:38 (CET)
57 Collision with environment 27.4 X: -1.0 Y: -0.3 Z: 1.8 X: 349.8 Y: 23.1 Z: 672.1 21:34:04 (CET)
58 Collision with environment 3.5 X: 1.0 Y: -0.3 Z: 1.8 X: -197.8 Y: 19.3 Z: -585.5 21:44:29 (CET)
Car Env Rel
SRV Spa layout GP (3xDRS) SRV Spa layout GP (3xDRS) collisions

There were no penalties in this session.

1st Pascal Hein in STM BMW M4 2022
Best: 02:12.367, Potential: 02:12.320
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:33.860 00:57.340 01:00.480 00:36.040 1 S
2 02:12.964 00:39.063 00:58.472 00:35.429 0 S
3 02:12.674 00:39.030 00:58.445 00:35.199 0 S
4 02:13.166 00:38.928 00:58.612 00:35.626 0 S
5 02:12.793 00:38.905
S
00:58.648 00:35.240 0 S
6 02:13.116 00:39.003 00:58.711 00:35.402 0 S
7 02:13.474 00:39.019 00:58.900 00:35.555 0 S
8 02:13.277 00:38.962 00:58.923 00:35.392 0 S
9 02:13.625 00:39.040 00:59.031 00:35.554 0 S
10 02:18.936 00:39.009 00:59.381 00:40.546 1 S
11 02:33.188 00:58.148 00:59.697 00:35.343 1 S
12 02:12.870 00:39.022 00:58.635 00:35.213 0 S
13 02:12.367
L
L
00:38.952 00:58.319
S
S
00:35.096
S
0 S
14 02:12.701 00:38.908 00:58.527 00:35.266 0 S
15 02:12.986 00:39.008 00:58.654 00:35.324 0 S
16 02:13.198 00:39.000 00:58.922 00:35.276 0 S
17 02:13.367 00:39.020 00:58.924 00:35.423 0 S
18 02:13.419 00:39.098 00:58.946 00:35.375 0 S
19 02:13.667 00:39.051 00:59.103 00:35.513 0 S
20 02:18.985 00:39.090 00:59.269 00:40.626 1 S
21 02:33.860 00:57.592 01:00.678 00:35.590 1 H
22 02:14.444 00:39.216 00:59.696 00:35.532 0 H
23 02:14.773 00:39.189 00:59.949 00:35.635 0 H
24 02:14.402 00:39.272 00:59.590 00:35.540 0 H
25 02:14.184 00:39.126 00:59.615 00:35.443 0 H
26 02:14.099 00:39.217 00:59.382 00:35.500 0 H
27 02:14.580 00:39.251 00:59.796 00:35.533 0 H
28 02:14.540 00:39.190 00:59.783 00:35.567 0 H
29 02:14.427 00:39.233 00:59.716 00:35.478 0 H
2nd Tim Quoos in STM Audi RS5 2022
Best: 02:12.987, Potential: 02:12.634
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:00.721 01:23.408 01:01.695 00:35.618 1 S
2 02:14.110 00:39.344 00:59.166 00:35.600 0 S
3 02:13.593 00:39.219 00:58.567 00:35.807 0 S
4 02:16.880 00:39.221 01:01.479 00:36.180 0 S
5 02:13.760 00:39.053 00:58.834 00:35.873 0 S
6 02:14.490 00:39.324 00:59.462 00:35.704 0 S
7 02:14.158 00:39.077 00:59.279 00:35.802 0 S
8 02:14.952 00:39.079 01:00.286 00:35.587 0 S
9 04:11.837 02:34.395 01:01.901 00:35.541 1 S
10 02:12.987
L
00:39.089 00:58.546 00:35.352 0 S
11 02:14.203 00:39.118 00:59.562 00:35.523 0 S
12 02:14.331 00:39.363 00:59.309 00:35.659 0 S
13 02:14.131 00:39.284 00:59.103 00:35.744 0 S
14 02:14.069 00:39.227 00:59.355 00:35.487 0 S
15 02:20.259 00:38.999 00:59.635 00:41.625 1 S
16 19:57.450 18:20.326 01:01.249 00:35.875 1 S
17 02:14.347 00:39.231 00:58.725 00:36.391 0 S
18 02:13.052 00:39.115 00:58.675 00:35.262
S
0 S
19 04:46.711 03:10.190 01:00.944 00:35.577 1 S
20 02:14.074 00:38.912
S
00:58.460
S
00:36.702 0 S
21 02:24.878 00:42.504 01:01.137 00:41.237 1 S
3rd Fred Dohnke in STM Mercedes AMG C63 2022
Best: 02:13.219, Potential: 02:13.150
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:33.578 00:54.417 01:03.602 00:35.559 1 S
2 02:14.125 00:39.089 00:59.612 00:35.424 0 S
3 02:13.854 00:39.066 00:59.278 00:35.510 0 S
4 02:13.803 00:38.888 00:59.378 00:35.537 0 S
5 03:20.105 01:37.262 01:06.690 00:36.153 1 S
6 02:13.666 00:38.878 00:59.499 00:35.289 0 S
7 04:43.483 03:03.119 01:02.793 00:37.571 1 S
8 02:18.651 00:38.877 01:00.727 00:39.047 0 S
9 03:44.424 02:05.500 01:03.104 00:35.820 1 S
10 02:14.833 00:38.825
S
S
01:00.004 00:36.004 0 S
11 02:13.219
L
00:38.894 00:59.135
S
00:35.190
S
0 S
4th Michael Weimer in STM Audi RS5 2022
Best: 02:13.548, Potential: 02:13.509
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:23.882 01:44.774 01:02.717 00:36.391 1 H
2 02:16.744 00:39.414 01:01.425 00:35.905 0 H
3 02:16.324 00:39.340 01:01.182 00:35.802 0 H
4 03:14.909 01:36.260 01:02.843 00:35.806 1 H
5 02:16.713 00:39.526 01:01.389 00:35.798 0 H
6 04:37.159 02:58.965 01:02.477 00:35.717 1 H
7 02:15.982 00:39.353 01:01.079 00:35.550 0 H
8 02:16.468 00:39.245 01:00.814 00:36.409 0 H
9 05:29.617 03:52.251 01:01.397 00:35.969 1 S
10 02:13.548
L
00:38.904 00:59.499
S
00:35.145
S
0 S
11 05:33.170 03:55.993 01:01.600 00:35.577 1 S
12 02:13.652 00:38.865
S
00:59.552 00:35.235 0 S
13 08:23.879 06:44.605 01:02.987 00:36.287 1 S
14 02:14.953 00:39.157 01:00.241 00:35.555 0 S
15 02:13.952 00:38.881 00:59.918 00:35.153 0 S
16 10:50.252 09:12.162 01:02.514 00:35.576 1 S
17 05:02.745 03:22.197 01:04.277 00:36.271 1 H
18 02:15.616 00:39.176 01:00.697 00:35.743 0 H
19 02:45.822 01:07.348 01:02.145 00:36.329 1 H
20 07:05.447 05:26.438 01:02.514 00:36.495 1 S
21 02:14.579 00:39.283 00:59.665 00:35.631 0 S
22 02:17.023 00:39.441 01:02.117 00:35.465 0 S
23 02:16.833 00:39.578 01:01.025 00:36.230 0 S
24 02:16.169 00:39.194 01:00.723 00:36.252 0 S
25 02:17.599 00:39.449 01:01.533 00:36.617 0 S
26 02:16.544 00:39.358 01:00.989 00:36.197 0 S
27 02:16.262 00:39.022 01:01.177 00:36.063 0 S
28 02:23.598 00:39.161 01:00.827 00:43.610 0 S
29 02:23.595 00:39.334 01:02.186 00:42.075 1 S
30 04:14.448 02:35.276 01:02.902 00:36.270 1 H
31 09:26.775 07:48.967 01:02.069 00:35.739 1 S
32 02:14.005 00:38.987 00:59.698 00:35.320 0 S
5th Thomas Kneissler in STM Audi RS5 2022
Best: 02:13.596, Potential: 02:13.350
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:41.219 01:23.893 01:12.986 01:04.340 3 S
2 02:17.680 00:40.385 01:01.079 00:36.216 0 S
3 02:16.337 00:39.943 01:00.201 00:36.193 0 S
4 02:16.492 00:39.657 01:00.660 00:36.175 0 S
5 02:15.820 00:39.624 01:00.048 00:36.148 0 S
6 02:15.622 00:39.502 01:00.035 00:36.085 0 S
7 02:25.374 00:39.588 01:00.335 00:45.451 0 S
8 02:18.307 00:39.797 01:01.340 00:37.170 0 S
9 02:23.637 00:39.840 01:00.938 00:42.859 0 S
10 02:23.342 00:39.663 01:01.479 00:42.200 1 S
11 02:46.480 01:06.220 01:03.842 00:36.418 1 S
12 02:16.490 00:39.574 01:00.926 00:35.990 0 S
13 02:18.818 00:39.517 00:59.594 00:39.707 0 S
14 02:15.799 00:39.418 01:00.025 00:36.356 0 S
15 02:17.809 00:39.543 01:00.120 00:38.146 0 S
16 02:37.726 00:39.867 01:21.198 00:36.661 0 S
17 02:20.567 00:39.552 01:04.385 00:36.630 0 S
18 02:18.306 00:39.602 01:02.226 00:36.478 0 S
19 02:29.058 00:39.609 01:06.770 00:42.679 1 S
20 02:42.737 01:01.353 01:04.642 00:36.742 1 H
21 02:17.181 00:39.724 01:01.213 00:36.244 0 H
22 02:17.708 00:39.604 01:01.753 00:36.351 0 H
23 02:17.054 00:39.711 01:01.249 00:36.094 0 H
24 02:17.406 00:39.584 01:01.322 00:36.500 0 H
25 02:19.157 00:39.987 01:02.559 00:36.611 0 H
26 02:20.542 00:40.979 01:02.667 00:36.896 1 H
27 05:31.259 03:48.111 01:07.049 00:36.099 1 S
28 04:13.974 02:35.837 01:02.460 00:35.677 1 S
29 05:11.539 03:17.860 01:10.817 00:42.862 1 S
30 02:14.088 00:39.218 00:59.396 00:35.474 0 S
31 02:14.874 00:39.181 00:59.629 00:36.064 0 S
32 02:57.498 00:57.289 01:19.830 00:40.379 1 S
33 02:13.596
L
00:39.230 00:59.104
S
00:35.262 0 S
34 02:13.821 00:39.100
S
00:59.575 00:35.146
S
0 S
6th Christian Gerspacher in STM Audi RS5 2022
Best: 02:13.817, Potential: 02:13.817
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:53.392 03:16.174 01:01.727 00:35.491 1 S
2 02:13.817
L
00:38.913
S
00:59.557
S
00:35.347
S
0 S
3 03:27.313 01:49.559 01:01.480 00:36.274 1 S
4 02:16.544
C
00:39.268 00:59.810 00:37.466 1 S
5 02:15.511 00:39.594 00:59.850 00:36.067 0 S
6 02:16.094 00:39.367 01:00.043 00:36.684 0 S
7 02:17.761 00:40.138 01:01.317 00:36.306 0 S
8 07:30.595 05:52.148 01:02.029 00:36.418 1 S
9 02:15.842 00:39.353 01:00.220 00:36.269 0 S
10 02:15.551 00:39.522 00:59.912 00:36.117 0 S
11 02:18.630 00:39.400 01:03.369 00:35.861 0 S
12 02:15.846 00:39.356 01:00.049 00:36.441 0 S
13 02:16.710 00:39.428 01:00.868 00:36.414 0 S
14 02:16.863 00:39.500 01:01.214 00:36.149 0 S
15 02:38.517 00:39.356 01:21.923 00:37.238 0 S
16 02:16.705 00:39.617 01:00.823 00:36.265 0 S
17 02:16.747 00:39.493 01:01.002 00:36.252 0 S
18 02:18.596 00:39.461 01:02.767 00:36.368 0 S
19 02:24.804 00:39.540 01:02.361 00:42.903 1 S
7th Micha Schloz in STM BMW M4 2022
Best: 02:14.040, Potential: 02:13.648
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 07:32.674 05:47.576 01:08.617 00:36.481 1 S
2 02:16.734 00:39.916 01:01.483 00:35.335 0 S
3 02:15.823 00:38.997 01:01.488 00:35.338 0 S
4 02:16.023 00:39.223 01:01.015 00:35.785 0 S
5 03:58.442 02:05.713 01:11.069 00:41.660 1 S
6 05:08.459 03:26.904 01:05.285 00:36.270 1 S
7 02:14.588 00:39.188 01:00.089 00:35.311 0 S
8 02:14.373 00:39.139 00:59.746
S
00:35.488 0 S
9 02:33.197 00:45.846 01:04.952 00:42.399 0 S
10 02:15.120 00:39.405 01:00.137 00:35.578 0 S
11 10:26.831 08:46.887 01:04.169 00:35.775 1 S
12 02:21.321 00:39.575 01:00.098 00:41.648 1 S
13 03:15.664 01:34.630 01:02.770 00:38.264 1 S
14 04:35.171 02:54.687 01:04.120 00:36.364 1 S
15 02:14.804 00:39.148 01:00.264 00:35.392 0 S
16 02:14.930 00:38.847
S
01:00.426 00:35.657 0 S
17 02:14.040
L
00:38.972 01:00.013 00:35.055
S
S
0 S
8th Uemit Zobu in STM BMW M4 2022
Best: 02:14.089, Potential: 02:13.614
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:06.103 03:31.216 00:59.643 00:35.244 3 S
2 02:14.978 00:39.808 00:59.900 00:35.270 0 S
3 05:11.501 03:35.319 01:00.889 00:35.293 1 S
4 02:14.089
L
00:38.982
S
00:59.966 00:35.141
S
0 S
5 02:14.780 00:39.848 00:59.491
S
00:35.441 0 S
6 02:14.363 00:38.995 00:59.809 00:35.559 0 S
7 02:41.661 00:39.166 00:59.508 01:02.987 0 S
8 02:24.189 00:40.275 01:02.279 00:41.635 1 S
9 02:40.353 01:03.027 01:01.416 00:35.910 1 H
10 02:16.777 00:39.878 01:01.002 00:35.897 0 H
11 02:17.328 00:39.479 01:01.732 00:36.117 0 H
12 02:16.017 00:39.474 01:00.740 00:35.803 0 H
13 02:22.461 00:39.766 01:01.493 00:41.202 1 H
9th Andreas Braun in STM Mercedes AMG C63 2022
Best: 02:14.164, Potential: 02:14.164
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:00.685 01:22.207 01:02.586 00:35.892 3 H
2 02:17.579 00:39.772 01:01.042 00:36.765 0 H
3 02:19.385 00:39.958 01:02.257 00:37.170 0 H
4 04:12.713 02:34.091 01:02.812 00:35.810 1 H
5 02:16.353 00:39.503 01:00.840 00:36.010 0 H
6 02:16.746 00:39.527 01:00.931 00:36.288 0 H
7 02:18.959 00:39.455 01:01.772 00:37.732 0 H
8 02:15.920 00:39.418 01:00.494 00:36.008 0 H
9 02:16.092 00:39.400 01:00.655 00:36.037 0 H
10 03:34.195 01:57.207 01:01.100 00:35.888 1 S
11 02:14.164
L
00:39.291
S
00:59.318
S
00:35.555
S
0 S
10th Eileen Weimer in STM Audi RS5 2022
Best: 02:14.170, Potential: 02:13.694
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:35.976 00:57.992 01:01.686 00:36.298 1 S
2 02:15.864 00:39.415 01:00.367 00:36.082 0 S
3 02:15.629 00:39.537 00:59.796 00:36.296 0 S
4 02:15.012 00:39.355 00:59.711 00:35.946 0 S
5 02:16.026 00:39.869 00:59.941 00:36.216 0 S
6 02:32.914 00:55.849 01:01.114 00:35.951 1 S
7 02:14.605 00:39.192 00:59.607 00:35.806 0 S
8 02:15.356 00:39.237 01:00.237 00:35.882 0 S
9 02:14.170
L
00:39.252 00:59.058
S
00:35.860 0 S
10 02:14.519 00:38.935 00:59.729 00:35.855 0 S
11 02:14.346 00:38.901
S
00:59.710 00:35.735
S
0 S
12 06:05.427 04:27.354 01:01.973 00:36.100 1 S
13 11:10.905 09:32.651 01:01.885 00:36.369 1 H
14 02:15.369 00:39.163 01:00.291 00:35.915 0 H
15 02:15.751 00:39.329 01:00.485 00:35.937 0 H
11th Steffen Maschke in STM Audi RS5 2022
Best: 02:14.773, Potential: 02:14.205
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:41.591 03:56.553 01:08.395 00:36.643 1 H
2 02:18.517 00:39.949 01:02.604 00:35.964 0 H
3 02:17.287 00:39.488 01:01.682 00:36.117 0 H
4 02:51.041 01:08.680 01:04.944 00:37.417 1 S
5 02:15.479 00:39.540 01:00.277 00:35.662 0 S
6 02:15.038 00:39.220 01:00.372 00:35.446 0 S
7 02:17.549 00:39.531 01:01.902 00:36.116 0 S
8 02:14.773
L
00:39.144 01:00.344 00:35.285
S
0 S
9 04:04.828 02:22.637 01:04.333 00:37.858 1 S
10 02:15.239 00:39.016
S
01:00.849 00:35.374 0 S
11 06:18.609 04:39.311 01:02.987 00:36.311 1 H
12 02:17.596 00:39.464 01:01.848 00:36.284 0 H
13 02:17.049 00:39.435 01:01.280 00:36.334 1 H
14 02:16.611 00:39.330 01:01.429 00:35.852 0 H
15 03:12.383 01:33.483 01:02.928 00:35.972 1 S
16 02:15.363 00:39.229 01:00.426 00:35.708 0 S
17 04:41.268 03:03.338 01:01.551 00:36.379 1 S
18 02:15.899 00:39.811 01:00.260 00:35.828 0 S
19 02:14.985 00:39.274 00:59.904
S
00:35.807 0 S
20 04:09.632 02:33.229 01:00.786 00:35.617 1 S
12th Benedikt Hoepfer in STM BMW M4 2022
Best: 02:15.058, Potential: 02:14.783
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:25.611 01:47.132 01:02.488 00:35.991 1 S
2 02:16.962 00:39.267 01:01.649 00:36.046 0 S
3 02:16.593 00:39.618 01:00.777 00:36.198 0 S
4 06:18.440 04:37.614 01:04.678 00:36.148 1 S
5 02:21.464 00:38.910
S
01:06.613 00:35.941 0 S
6 02:16.011 00:39.351 01:00.970 00:35.690 0 S
7 05:28.405 03:43.492 01:08.675 00:36.238 1 S
8 02:15.356 00:39.115 01:01.016 00:35.225 0 S
9 12:19.506 10:30.736 01:12.212 00:36.558 1 S
10 02:15.207 00:38.924 01:00.886 00:35.397 0 S
11 02:21.111 00:39.689 01:00.589 00:40.833 1 S
12 02:41.968 01:00.641 01:03.954 00:37.373 1 H
13 03:41.257 02:01.847 01:03.869 00:35.541 1 S
14 06:57.777 05:19.461 01:02.522 00:35.794 1 S
15 02:15.058
L
00:38.951 01:00.966 00:35.141
S
0 S
16 04:06.039 01:57.033 01:33.244 00:35.762 1 S
17 02:26.610 00:39.051 01:00.839 00:46.720 0 S
18 02:18.177 00:39.118 01:02.401 00:36.658 0 S
19 02:15.728 00:39.046 01:00.732
S
00:35.950 0 S
20 03:17.917 01:38.804 01:03.225 00:35.888 1 S
21 02:19.938 00:41.977 01:01.902 00:36.059 0 S
22 02:16.764 00:39.176 01:01.209 00:36.379 0 S
23 02:30.596 00:39.024 01:10.488 00:41.084 1 S
24 02:41.746 01:00.303 01:05.492 00:35.951 1 H
25 02:26.701 00:40.047 01:10.978 00:35.676 0 H
26 04:07.330 02:26.192 01:04.787 00:36.351 1 H
27 02:34.877 00:39.579 01:18.650 00:36.648 0 H
28 02:22.815 00:39.413 01:02.532 00:40.870 0 H
29 02:36.014 00:40.256 01:20.096 00:35.662 0 H
13th Jens Bauer in STM BMW M4 2022
Best: 02:15.171, Potential: 02:15.171
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 12:24.332 10:40.130 01:07.573 00:36.629 1 S
2 02:16.825 00:39.585 01:01.469 00:35.771 0 S
3 02:16.842 00:39.538 01:00.759 00:36.545 0 S
4 02:15.171
L
00:39.334
S
01:00.358
S
00:35.479
S
0 S
5 02:16.741 00:39.451 01:01.313 00:35.977 0 S
6 03:42.936 02:02.608 01:04.336 00:35.992 1 S
7 02:54.208 01:07.369 01:10.236 00:36.603 1 S
8 02:16.886 00:39.776 01:01.147 00:35.963 0 S
9 02:16.825 00:39.341 01:01.376 00:36.108 0 S
10 03:58.802 02:20.216 01:02.528 00:36.058 1 S
11 02:22.284 00:39.450 01:00.479 00:42.355 1 S
12 04:29.990 02:38.953 01:06.281 00:44.756 1 S
14th Michael Rasch in STM BMW M4 2022
Best: 02:15.551, Potential: 02:15.495
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 07:54.675 06:08.708 01:09.075 00:36.892 1 S
2 02:16.719 00:39.708 01:01.249 00:35.762 0 S
3 02:16.651 00:39.424 01:01.610 00:35.617 0 S
4 02:17.813 00:39.268
S
01:01.448 00:37.097 0 S
5 02:17.982 00:39.908 01:02.406 00:35.668 0 S
6 02:17.357 00:39.401 01:02.118 00:35.838 0 S
7 02:17.451 00:39.427 01:02.167 00:35.857 0 S
8 02:17.605 00:39.519 01:02.000 00:36.086 0 S
9 02:16.936 00:39.867 01:01.519 00:35.550 0 S
10 02:17.764 00:39.412 01:02.658 00:35.694 0 S
11 05:32.456 03:51.589 01:05.408 00:35.459 1 S
12 02:15.551
L
00:39.324 01:00.754
S
00:35.473
S
0 S
15th Lars Borkowski in STM Mercedes AMG C63 2022
Best: 02:16.010, Potential: 02:15.762
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:25.097 02:39.100 01:03.770 00:42.227 1 S
2 07:24.107 05:39.091 01:02.545 00:42.471 1 S
3 02:50.715 01:04.609 01:03.751 00:42.355 1 H
4 09:56.195 08:17.056 01:03.126 00:36.013 1 S
5 02:16.010
L
00:39.377
S
01:00.336
S
00:36.297 0 S
6 02:16.897 00:39.387 01:01.461 00:36.049
S
0 S
16th Holger Heller in STM Mercedes AMG C63 2022
Best: 02:16.154, Potential: 02:15.260
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:56.027 01:08.072 01:09.017 00:38.938 1 S
2 02:19.431 00:39.913 01:02.716 00:36.802 0 S
3 02:17.330 00:40.086 01:01.028 00:36.216 0 S
4 02:19.143 00:39.742 01:01.407 00:37.994 0 S
5 02:19.427 00:40.329 01:02.009 00:37.089 0 S
6 02:20.164 00:39.922 01:01.785 00:38.457 1 S
7 02:25.036 00:40.929 01:01.929 00:42.178 1 S
8 03:25.363 01:44.982 01:04.494 00:35.887 1 S
9 02:18.138 00:39.749 01:01.750 00:36.639 0 S
10 02:17.942 00:39.545 01:01.817 00:36.580 0 S
11 02:17.505 00:39.382
S
01:01.097 00:37.026 0 S
12 02:17.600 00:39.496 01:01.826 00:36.278 0 S
13 02:24.191 00:39.432 01:03.166 00:41.593 1 S
14 04:45.392 02:59.894 01:01.147 00:44.351 1 S
15 02:16.857 00:40.979 01:00.355
S
00:35.523
S
0 S
16 02:25.948 00:40.162 01:03.482 00:42.304 0 S
17 02:16.468 00:39.907 01:00.656 00:35.905 0 S
18 02:17.615 00:39.822 01:01.506 00:36.287 0 S
19 02:16.154
L
00:39.782 01:00.584 00:35.788 0 S
20 02:16.200 00:39.971 01:00.625 00:35.604 0 S
17th Daniel Amann in STM BMW M4 2022
Best: 02:17.558, Potential: 02:16.762
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 07:22.156 05:38.193 01:06.577 00:37.386 1 S
2 02:23.925 00:40.636 01:05.876 00:37.413 1 S
3 02:22.973 00:39.838 01:05.812 00:37.323 0 S
4 02:18.148 00:39.296
S
01:02.663 00:36.189 0 S
5 05:03.432 03:14.829 01:07.351 00:41.252 1 S
6 02:23.792 00:40.058 01:05.795 00:37.939 0 S
7 02:17.558
L
00:39.719 01:01.624
S
00:36.215 0 S
8 02:22.814
C
00:39.512 01:03.378 00:39.924 1 S
9 02:20.560 00:40.574 01:03.748 00:36.238 0 S
10 02:20.973 00:39.696 01:04.233 00:37.044 0 S
11 02:27.204 00:39.505 01:03.464 00:44.235 1 S
12 03:29.952 01:45.682 01:07.487 00:36.783 1 S
13 02:27.100 00:39.433 01:09.485 00:38.182 0 S
14 02:49.125 00:39.309 01:03.576 01:06.240 0 S
15 02:22.380 00:41.665 01:03.868 00:36.847 0 S
16 03:34.965 01:52.702 01:05.286 00:36.977 1 S
17 07:59.704 06:16.686 01:06.870 00:36.148 1 S
18 02:18.691 00:39.758 01:02.897 00:36.036 0 S
19 02:28.614 00:39.705 01:06.528 00:42.381 0 S
20 02:20.323 00:39.861 01:03.513 00:36.949 0 S
21 04:48.654 02:54.772 01:17.053 00:36.829 1 S
22 02:20.211 00:40.842 01:01.703 00:37.666 0 S
23 02:17.731 00:39.788 01:02.101 00:35.842
S
0 S
24 02:19.883 00:39.412 01:01.916 00:38.555 0 S
18th Dieter Suessenguth in STM Mercedes AMG C63 2022
Best: 02:19.025, Potential: 02:18.657
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:46.637 03:04.393 01:05.223 00:37.021 1 S
2 02:19.237 00:40.125 01:02.194 00:36.918 0 S
3 02:19.226 00:40.528 01:01.925
S
00:36.773 0 S
4 02:19.025
L
00:40.250 01:02.100 00:36.675 0 S
5 02:20.258 00:40.111
S
01:02.527 00:37.620 0 S
6 02:24.164 00:41.371 01:04.107 00:38.686 0 S
7 03:58.278 02:15.538 01:05.597 00:37.143 1 S
8 05:56.175 04:14.191 01:03.409 00:38.575 1 S
9 02:20.867 00:42.003 01:02.243 00:36.621
S
0 S
10 06:06.971 04:19.669 01:09.372 00:37.930 1 H
11 02:20.637
C
00:40.435 01:03.621 00:36.581 1 H
12 02:20.962 00:40.270 01:03.581 00:37.111 0 H
13 02:25.531 00:41.347 01:06.119 00:38.065 0 H
14 03:14.518 01:32.305 01:04.512 00:37.701 1 H
15 03:24.773 01:40.616 01:06.168 00:37.989 1 H
16 02:23.359 00:41.528 01:04.369 00:37.462 0 H
17 02:21.332 00:41.252 01:03.370 00:36.710 0 H
18 02:21.510 00:40.615 01:04.112 00:36.783 0 H
19th Herbert Aeckerle in STM Mercedes AMG C63 2022
Best: 02:25.049, Potential: 02:24.160
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:50.165 03:00.474 01:10.263 00:39.428 1 H
2 02:27.054
C
00:41.245 01:07.725 00:38.084 1 H
3 02:26.772 00:41.148 01:06.456 00:39.168 0 H
4 02:26.772 00:40.958 01:07.321 00:38.493 0 H
5 02:39.866 00:41.076 01:19.154 00:39.636 0 H
6 02:30.005 00:42.510 01:08.971 00:38.524 0 H
7 02:32.138 00:41.375 01:10.660 00:40.103 0 H
8 02:26.127 00:41.330 01:06.520 00:38.277 0 H
9 02:32.279 00:43.235 01:10.718 00:38.326 0 H
10 02:29.223 00:41.015 01:08.441 00:39.767 1 H
11 02:26.875 00:40.976 01:07.100 00:38.799 0 H
12 02:29.383 00:40.888 01:08.324 00:40.171 0 H
13 02:25.621 00:41.550 01:06.577 00:37.494
S
0 H
14 04:54.620 03:04.807 01:11.671 00:38.142 1 H
15 02:30.357 00:41.321 01:10.066 00:38.970 1 H
16 02:25.700 00:40.967 01:06.663 00:38.070 0 H
17 02:25.083 00:41.029 01:05.993
S
00:38.061 0 H
18 02:25.323 00:40.823 01:06.767 00:37.733 0 H
19 02:27.690 00:41.706 01:07.148 00:38.836 0 H
20 02:26.020
C
00:41.076 01:07.036 00:37.908 1 H
21 02:25.049
L
00:40.762 01:06.168 00:38.119 0 H
22 02:28.372
C
00:40.925 01:08.369 00:39.078 1 H
23 02:28.879 00:43.372 01:06.757 00:38.750 0 H
24 02:29.666 00:41.599 01:09.390 00:38.677 0 H
25 02:31.220 00:40.673
S
01:10.425 00:40.122 0 H
26 02:36.630 00:41.088 01:06.869 00:48.673 1 H