SRV Spa layout GP (3xDRS)

26 Jan 22 22:36 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 SRV Jägermeister eSport II STM Audi RS5 2022 02:15.586
Tyre: H
02:17.141 60 laps / 13 cuts
2 HabAuchKeins STM BMW M4 2022 02:15.796
Tyre: S
02:17.856 17 laps / 10 cuts
3 HabAuchKeins STM BMW M4 2022 02:16.129
Tyre: H
02:17.314 21 laps / 10 cuts
4 BMS Racing STM Mercedes C63 2022 02:16.141
Tyre: H
02:18.559 19 laps / 5 cuts
5 CRM Motorsport STM BMW M4 2022 02:16.159
Tyre: H
02:18.006 9 laps / 4 cuts
6 Stiftung Plankentest II STM BMW M4 2022 02:16.371
Tyre: H
02:17.242 38 laps / 14 cuts
7 HabKeins STM BMW M4 2022 02:16.561
Tyre: S
02:23.970 32 laps / 15 cuts
8 SRV Jägermeister eSport II STM Audi RS5 2022 02:16.721
Tyre: H
02:18.457 19 laps / 9 cuts
9 BMS Racing STM Mercedes C63 2022 02:16.780
Tyre: H
02:18.464 21 laps / 9 cuts
10 SRV Jägermeister eSport I STM Audi RS5 2022 02:17.150
Tyre: H
02:18.529 25 laps / 8 cuts
11 SRV Jägermeister eSport I STM Audi RS5 2022 02:17.697
Tyre: H
02:17.825 9 laps / 7 cuts
12 CT Motorsport STM Mercedes C63 2022 02:18.626
Tyre: H
02:20.877 11 laps / 4 cuts
13 Bayern Racing STM Mercedes C63 2022 02:24.176
Tyre: H
02:24.176 3 laps / 2 cuts
14 Bayern Racing STM Mercedes C63 2022 02:29.582
Tyre: S
02:37.440 24 laps / 9 cuts
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 4.3 X: -0.9 Y: -0.4 Z: 2.2 X: -336.5 Y: 20.8 Z: -912.6 17:52:57 (CET)
2 Collision with environment 3.1 X: -0.7 Y: -0.4 Z: 2.3 X: -381.2 Y: 23.8 Z: -930.5 18:00:05 (CET)
3 Collision with environment 13.7 X: -0.7 Y: -0.4 Z: 2.3 X: -355.9 Y: 22.2 Z: -920.5 18:09:50 (CET)
4 Collision with environment 6.6 X: -0.0 Y: -0.4 Z: 2.4 X: -355.2 Y: 22.2 Z: -920.2 18:09:55 (CET)
5 Collision with environment 25.6 X: 0.7 Y: -0.4 Z: 2.3 X: -174.0 Y: 15.0 Z: -491.6 19:00:03 (CET)
6 Collision with environment 4.2 X: -0.9 Y: -0.4 Z: 2.2 X: -299.1 Y: 21.0 Z: -759.0 19:04:09 (CET)
7 Collision with environment 27.9 X: -1.0 Y: -0.4 Z: 1.8 X: 370.1 Y: 43.2 Z: 933.6 19:05:19 (CET)
8 Collision with environment 9.3 X: -0.8 Y: -0.3 Z: -2.4 X: 423.5 Y: 40.2 Z: 892.8 19:05:34 (CET)
9 Collision with environment 17.4 X: -0.8 Y: -0.4 Z: 2.2 X: -595.2 Y: -24.8 Z: 706.0 19:11:14 (CET)
10 Collision with environment 2.4 X: -1.0 Y: -0.4 Z: 1.8 X: -0.3 Y: -2.4 Z: -641.2 19:28:33 (CET)
11 Collision with environment 13.1 X: -0.0 Y: -0.3 Z: 2.4 X: -185.2 Y: 15.6 Z: -508.4 19:30:39 (CET)
12 Collision with environment 31.5 X: -0.7 Y: -0.4 Z: 2.3 X: -594.3 Y: -28.8 Z: 900.7 19:31:51 (CET)
13 Collision with environment 12.4 X: -0.9 Y: -0.0 Z: 1.7 X: 113.4 Y: -2.8 Z: -518.2 19:44:12 (CET)
14 Collision with environment 29.1 X: -0.0 Y: -0.4 Z: 2.4 X: -345.9 Y: 21.5 Z: -916.3 19:48:21 (CET)
15 Collision with environment 15.5 X: 0.9 Y: -0.3 Z: 2.2 X: 468.2 Y: 69.4 Z: 978.3 19:51:44 (CET)
16 Collision with environment 39.6 X: -0.9 Y: -0.4 Z: 2.2 X: 365.1 Y: 26.9 Z: 721.8 19:55:46 (CET)
17 Collision with environment 87.3 X: -0.9 Y: -0.4 Z: 2.2 X: 364.3 Y: 26.7 Z: 719.7 19:55:51 (CET)
18 Collision with environment 45.2 X: -0.9 Y: -0.4 Z: -1.9 X: -180.4 Y: 15.3 Z: -500.8 19:57:44 (CET)
19 Collision with environment 84.6 X: 0.9 Y: -0.3 Z: 2.2 X: -214.0 Y: 17.1 Z: -554.3 19:57:54 (CET)
20 Collision with environment 16.2 X: -0.9 Y: -0.3 Z: 2.2 X: -353.0 Y: 22.0 Z: -919.3 20:00:48 (CET)
21 Collision with car 31.1 X: 0.7 Y: -0.2 Z: 2.3 X: 109.6 Y: -4.7 Z: -554.2 20:01:21 (CET)
22 Collision with car 32.9 X: 0.2 Y: -0.2 Z: -2.4 X: 109.6 Y: -4.7 Z: -554.2 20:01:23 (CET)
23 Collision with environment 124.0 X: 0.6 Y: -0.3 Z: 2.3 X: 186.6 Y: 5.8 Z: -517.5 20:01:26 (CET)
24 Collision with car 8.0 X: -1.0 Y: -0.3 Z: 2.0 X: -167.2 Y: -18.1 Z: 784.5 20:04:00 (CET)
25 Collision with car 1.7 X: 0.9 Y: -0.3 Z: -1.3 X: -167.1 Y: -18.1 Z: 784.5 20:04:03 (CET)
26 Collision with environment 41.4 X: -0.8 Y: -0.3 Z: 2.2 X: 553.4 Y: 73.0 Z: 725.3 20:08:28 (CET)
27 Collision with environment 31.8 X: -0.7 Y: -0.3 Z: 2.3 X: -179.0 Y: 15.3 Z: -498.5 20:10:03 (CET)
28 Collision with environment 70.6 X: 0.9 Y: -0.3 Z: 2.2 X: -384.1 Y: -20.2 Z: 886.9 20:17:29 (CET)
29 Collision with environment 41.6 X: 0.9 Y: -0.3 Z: 2.2 X: 208.2 Y: 16.7 Z: -417.3 20:28:47 (CET)
30 Collision with environment 30.5 X: 0.9 Y: -0.3 Z: -1.9 X: 208.2 Y: 16.9 Z: -417.0 20:28:52 (CET)
31 Collision with environment 33.2 X: -0.9 Y: -0.3 Z: 2.2 X: -176.5 Y: 15.2 Z: -494.6 20:34:39 (CET)
32 Collision with environment 78.8 X: 0.9 Y: -0.3 Z: 2.2 X: 574.8 Y: 73.9 Z: 923.0 20:36:19 (CET)
33 Collision with environment 1.4 X: 1.0 Y: -0.4 Z: 1.8 X: -347.5 Y: 21.8 Z: -810.2 20:37:55 (CET)
34 Collision with environment 12.9 X: 1.0 Y: -0.3 Z: 1.8 X: -454.3 Y: 29.0 Z: -926.4 20:38:54 (CET)
35 Collision with environment 13.4 X: 0.9 Y: -0.3 Z: -1.9 X: -453.7 Y: 29.0 Z: -924.9 20:38:59 (CET)
36 Collision with environment 25.8 X: -0.0 Y: -0.4 Z: 2.4 X: -192.6 Y: 16.0 Z: -520.2 20:43:04 (CET)
37 Collision with environment 7.5 X: 0.9 Y: -0.4 Z: 2.2 X: -192.0 Y: 15.9 Z: -519.3 20:43:06 (CET)
38 Collision with environment 34.0 X: 0.7 Y: -0.4 Z: 2.3 X: -244.8 Y: 18.3 Z: -603.3 20:52:55 (CET)
39 Collision with environment 46.9 X: -0.7 Y: -0.4 Z: 2.3 X: -378.7 Y: 23.7 Z: -929.5 20:56:02 (CET)
40 Collision with environment 27.4 X: -0.7 Y: -0.3 Z: 2.3 X: -184.2 Y: 15.6 Z: -506.8 20:59:40 (CET)
41 Collision with environment 8.9 X: -1.0 Y: -0.4 Z: 1.8 X: -302.3 Y: -13.4 Z: 439.9 21:03:47 (CET)
42 Collision with environment 0.1 X: -1.0 Y: -0.4 Z: 1.8 X: -300.5 Y: -13.4 Z: 438.9 21:03:52 (CET)
43 Collision with environment 51.1 X: -0.8 Y: -0.3 Z: 2.2 X: 353.0 Y: 44.6 Z: 945.2 21:05:40 (CET)
44 Collision with environment 19.6 X: 0.9 Y: -0.4 Z: 2.2 X: 522.9 Y: 72.0 Z: 940.8 21:06:40 (CET)
45 Collision with environment 19.5 X: 0.9 Y: -0.4 Z: -1.9 X: 523.4 Y: 72.0 Z: 940.7 21:06:45 (CET)
46 Collision with environment 9.3 X: -1.0 Y: -0.3 Z: 0.2 X: -160.2 Y: 9.0 Z: -811.8 21:11:04 (CET)
47 Collision with environment 7.2 X: 1.0 Y: -0.3 Z: 1.8 X: -24.4 Y: -0.3 Z: -689.3 21:11:09 (CET)
48 Collision with environment 70.1 X: 0.9 Y: -0.3 Z: 2.2 X: -386.3 Y: -20.2 Z: 890.6 21:19:40 (CET)
49 Collision with environment 24.7 X: 1.0 Y: -0.4 Z: -0.8 X: -406.0 Y: 24.8 Z: -930.4 21:27:52 (CET)
50 Collision with environment 63.4 X: -0.0 Y: -0.4 Z: 2.4 X: -192.8 Y: 16.0 Z: -520.4 21:28:52 (CET)
51 Collision with environment 45.5 X: -0.9 Y: -0.4 Z: 2.2 X: -158.1 Y: 16.6 Z: -525.7 21:36:10 (CET)
52 Collision with environment 3.0 X: 0.9 Y: -0.3 Z: 2.2 X: -207.3 Y: 16.8 Z: -543.6 21:36:40 (CET)
53 Collision with environment 46.0 X: -1.0 Y: -0.4 Z: 1.8 X: -135.6 Y: -8.4 Z: 320.5 21:50:36 (CET)
54 Collision with environment 29.9 X: -0.7 Y: -0.4 Z: 2.3 X: 361.7 Y: 43.8 Z: 939.3 21:55:47 (CET)
55 Collision with environment 38.7 X: 0.7 Y: -0.3 Z: 2.3 X: -389.2 Y: -20.4 Z: 895.3 22:08:16 (CET)
56 Collision with environment 22.5 X: -0.9 Y: -0.3 Z: 2.2 X: -369.4 Y: -18.6 Z: 812.6 22:28:16 (CET)
Car Env Rel
SRV Spa layout GP (3xDRS) SRV Spa layout GP (3xDRS) collisions

There were no penalties in this session.

1st Stefan Herler in STM Audi RS5 2022
Best: 02:15.586, Potential: 02:15.339
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:59.549 02:20.531 01:02.906 00:36.112 1 S
2 02:16.883 00:39.540 01:00.255 00:37.088 0 S
3 02:16.478 00:39.598 01:00.871 00:36.009 0 S
4 02:21.320 00:39.387 01:00.785 00:41.148 0 S
5 02:16.190 00:39.540 01:00.263 00:36.387 0 S
6 02:16.461 00:39.571 01:00.934 00:35.956 0 S
7 02:17.096
C
00:39.496 01:01.475 00:36.125 1 S
8 02:16.434 00:39.706 01:00.539 00:36.189 0 S
9 02:16.480 00:39.491 01:00.796 00:36.193 0 S
10 02:21.976 00:39.579 01:00.489 00:41.908 1 S
11 03:12.106 01:33.866 01:02.118 00:36.122 1 H
12 02:16.972 00:39.799 01:01.052 00:36.121 0 H
13 02:16.067 00:39.646 01:00.502 00:35.919 0 H
14 02:16.942
C
00:39.630 01:01.272 00:36.040 1 H
15 02:16.661 00:39.578 01:00.881 00:36.202 0 H
16 02:16.460 00:39.863 01:00.759 00:35.838
S
0 H
17 02:16.397 00:39.639 01:00.844 00:35.914 0 H
18 02:16.150 00:39.467 01:00.669 00:36.014 0 H
19 02:16.297 00:39.637 01:00.746 00:35.914 0 H
20 02:16.032 00:39.448 01:00.678 00:35.906 0 H
21 02:34.557 00:39.631 01:01.236 00:53.690 0 H
22 02:18.154 00:40.428 01:01.605 00:36.121 0 H
23 02:17.237 00:39.601 01:01.430 00:36.206 0 H
24 02:25.055 00:39.620 01:04.126 00:41.309 1 H
25 04:14.153 02:35.779 01:02.285 00:36.089 1 H
26 02:16.636 00:39.724 01:00.979 00:35.933 0 H
27 02:15.586
L
L
00:39.570 01:00.128
S
S
00:35.888 0 H
28 02:16.333 00:39.741 01:00.664 00:35.928 0 H
29 02:21.652 00:39.525 01:01.249 00:40.878 1 H
30 02:33.932 00:56.228 01:01.812 00:35.892 1 H
31 02:16.352 00:39.670 01:00.651 00:36.031 0 H
32 02:16.461 00:39.625 01:00.593 00:36.243 0 H
33 02:16.449 00:39.626 01:00.903 00:35.920 0 H
34 02:16.363 00:39.599 01:00.665 00:36.099 0 H
35 02:16.338 00:39.880 01:00.552 00:35.906 0 H
36 04:58.791 03:20.898 01:01.996 00:35.897 1 H
37 02:16.143 00:39.613 01:00.476 00:36.054 0 H
38 02:15.881 00:39.546 01:00.390 00:35.945 0 H
39 02:16.339 00:39.625 01:00.809 00:35.905 0 H
40 02:16.189 00:39.534 01:00.704 00:35.951 0 H
41 02:16.558 00:39.623 01:00.575 00:36.360 0 H
42 02:16.774
C
00:39.673 01:01.106 00:35.995 1 H
43 02:17.031 00:39.677 01:01.353 00:36.001 0 H
44 02:16.547 00:39.708 01:00.772 00:36.067 0 H
45 02:17.109 00:39.701 01:01.344 00:36.064 0 H
46 02:17.277 00:39.586 01:00.849 00:36.842 0 H
47 02:16.899 00:39.608 01:01.313 00:35.978 0 H
48 02:17.160 00:39.537 01:01.667 00:35.956 0 H
49 04:05.933 02:27.793 01:02.167 00:35.973 1 H
50 02:17.027 00:39.643 01:01.438 00:35.946 0 H
51 02:16.829 00:39.584 01:01.120 00:36.125 0 H
52 02:16.964 00:39.688 01:01.362 00:35.914 0 H
53 02:17.257 00:39.661 01:00.547 00:37.049 0 H
54 02:16.248 00:39.619 01:00.754 00:35.875 0 H
55 02:16.314 00:39.586 01:00.745 00:35.983 0 H
56 02:16.512 00:39.519 01:00.650 00:36.343 0 H
57 02:19.756 00:39.712 01:03.761 00:36.283 0 H
58 02:16.778 00:39.457 01:01.124 00:36.197 0 H
59 02:17.099 00:39.373
S
01:01.348 00:36.378 0 H
60 02:18.454 00:40.012 01:01.772 00:36.670 1 H
2nd Jens Bauer in STM BMW M4 2022
Best: 02:15.796, Potential: 02:15.423
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:35.129 03:53.637 01:05.159 00:36.333 1 S
2 02:20.844 00:41.335 01:02.087 00:37.422 0 S
3 02:19.252 00:40.148 01:02.658 00:36.446 0 S
4 05:51.896 04:12.109 01:03.558 00:36.229 1 S
5 02:18.107 00:40.025 01:02.073 00:36.009 0 S
6 02:17.644 00:39.854 01:01.866 00:35.924 0 S
7 18:30.588 16:47.479 01:05.502 00:37.607 1 H
8 02:20.039 00:40.090 01:03.338 00:36.611 1 H
9 02:25.996 00:40.039 01:02.879 00:43.078 1 H
10 05:11.604 03:31.253 01:04.315 00:36.036 1 H
11 02:16.971
C
00:39.437 01:01.983 00:35.551 1 H
12 05:35.920 03:57.285 01:02.815 00:35.820 1 S
13 02:17.328 00:39.700 01:02.006 00:35.622
S
S
0 S
14 02:16.026 00:39.383 01:00.562
S
00:36.081 0 S
15 09:49.563 08:12.097 01:01.637 00:35.829 1 S
16 02:15.796
L
00:39.239
S
01:00.674 00:35.883 0 S
17 02:26.944 00:39.291 01:02.451 00:45.202 1 S
3rd Jean Ora in STM BMW M4 2022
Best: 02:16.129, Potential: 02:15.892
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:49.475 01:08.135 01:04.261 00:37.079 1 H
2 02:20.452 00:40.457 01:02.640 00:37.355 1 H
3 05:20.770 03:36.910 01:06.834 00:37.026 1 H
4 05:14.605 03:34.557 01:02.369 00:37.679 1 H
5 02:17.462 00:40.137 01:01.119 00:36.206 0 H
6 02:17.208 00:40.039 01:00.921 00:36.248 0 H
7 02:17.753 00:39.946 01:00.845 00:36.962 0 H
8 03:49.345 02:07.834 01:02.618 00:38.893 1 H
9 02:16.954 00:39.767 01:01.110 00:36.077 0 H
10 02:16.761 00:39.642 01:01.064 00:36.055 0 H
11 02:16.129
L
00:39.622 01:00.655 00:35.852
S
0 H
12 02:16.391 00:39.556
S
01:00.484
S
00:36.351 0 H
13 07:02.458 05:20.492 01:05.323 00:36.643 1 H
14 02:16.599 00:39.777 01:00.673 00:36.149 0 H
15 03:56.223 02:17.947 01:02.568 00:35.708 1 H
16 02:18.258 00:39.753 01:01.744 00:36.761 0 H
17 05:16.539 03:37.575 01:02.414 00:36.550 1 H
18 02:16.683
C
00:39.649 01:01.006 00:36.028 1 H
19 02:17.637 00:39.563 01:01.569 00:36.505 0 H
20 05:00.186 03:16.748 01:03.176 00:40.262 1 H
21 02:19.310 00:40.468 01:01.709 00:37.133 0 H
4th Fred Dohnke in STM Mercedes C63 2022
Best: 02:16.141, Potential: 02:15.857
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:53.615 01:11.497 01:04.903 00:37.215 1 H
2 02:17.864 00:39.306 01:02.126 00:36.432 0 H
3 02:21.280 00:39.828 01:02.797 00:38.655 0 H
4 02:18.533 00:40.658 01:01.659 00:36.216 0 H
5 04:15.011 02:24.244 01:13.512 00:37.255 1 H
6 02:30.856 00:46.857 01:04.336 00:39.663 0 H
7 02:18.146 00:39.191 01:02.055 00:36.900 0 H
8 02:17.630 00:39.288 01:01.641 00:36.701 0 H
9 02:16.784 00:39.215 01:01.336 00:36.233 0 H
10 14:55.371 13:13.963 01:04.597 00:36.811 1 H
11 02:17.007 00:39.195 01:01.712 00:36.100 0 H
12 02:17.627
C
00:38.952 01:01.960 00:36.715 1 H
13 02:16.829 00:39.467 01:01.151 00:36.211 0 H
14 02:17.576 00:39.107 01:01.650 00:36.819 0 H
15 04:38.967 02:56.524 01:06.073 00:36.370 1 H
16 02:18.622 00:40.149 01:02.397 00:36.076 0 H
17 02:16.396 00:39.128 01:01.376 00:35.892 0 H
18 02:16.166 00:39.205 01:00.953
S
00:36.008 0 H
19 02:16.141
L
00:39.035
S
S
01:01.237 00:35.869
S
0 H
5th Uemit Zobu in STM BMW M4 2022
Best: 02:16.159, Potential: 02:15.945
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:02.272 02:19.807 01:04.823 00:37.642 1 H
2 02:21.634 00:41.833 01:02.834 00:36.967 1 H
3 02:20.055 00:40.380 01:02.779 00:36.896 0 H
4 02:20.094 00:40.320 01:02.603 00:37.171 0 H
5 03:23.302 01:44.351 01:01.920 00:37.031 1 H
6 02:58.759 01:21.185 01:01.169 00:36.405 1 H
7 02:17.535 00:39.993 01:01.299 00:36.243 0 H
8 02:16.187 00:39.411
S
01:01.082 00:35.694
S
0 H
9 02:16.159
L
00:39.553 01:00.840
S
00:35.766 0 H
6th Pascal Hein in STM BMW M4 2022
Best: 02:16.371, Potential: 02:16.160
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:51.383 01:10.601 01:04.215 00:36.567 1 H
2 02:19.782 00:40.534 01:02.482 00:36.766 0 H
3 04:25.805 02:45.829 01:03.261 00:36.715 1 H
4 02:20.312 00:40.250 01:02.663 00:37.399 0 H
5 02:20.497 00:40.386 01:02.234 00:37.877 1 H
6 02:48.342 01:09.558 01:02.423 00:36.361 1 H
7 02:17.056 00:39.982 01:00.993 00:36.081 0 H
8 02:16.792 00:39.722 01:01.065 00:36.005 0 H
9 02:16.509 00:39.655 01:00.691
S
00:36.163 0 H
10 03:05.062 01:25.855 01:02.771 00:36.436 1 H
11 02:18.115 00:39.803 01:01.614 00:36.698 0 H
12 02:17.094 00:39.678 01:01.137 00:36.279 0 H
13 02:16.957 00:39.725 01:01.250 00:35.982 0 H
14 02:16.841 00:39.700 01:01.137 00:36.004 0 H
15 02:44.084 01:05.949 01:02.108 00:36.027 1 H
16 02:17.325 00:39.652 01:01.299 00:36.374 1 H
17 02:16.709 00:39.685 01:00.980 00:36.044 0 H
18 02:16.569 00:39.593 01:00.922 00:36.054 0 H
19 03:01.169 01:23.623 01:01.375 00:36.171 1 H
20 02:16.663 00:39.720 01:00.947 00:35.996 0 H
21 02:17.795 00:39.655 01:02.154 00:35.986 0 H
22 02:16.793 00:39.787 01:01.070 00:35.936 0 H
23 02:16.380 00:39.576
S
01:00.795 00:36.009 0 H
24 02:56.066 01:18.376 01:01.713 00:35.977 1 H
25 02:16.371
L
00:39.611 01:00.795 00:35.965 0 H
26 02:16.629 00:39.627 01:01.109 00:35.893
S
0 H
27 02:16.530
C
00:39.537 01:00.979 00:36.014 1 H
28 12:50.571 11:11.346 01:03.260 00:35.965 1 H
29 02:17.353 00:39.762 01:01.181 00:36.410 1 H
30 02:17.120 00:39.678 01:01.132 00:36.310 0 H
31 02:18.162 00:39.670 01:01.056 00:37.436 0 H
32 02:16.930 00:39.631 01:00.971 00:36.328 0 H
33 02:17.525 00:39.646 01:00.957 00:36.922 0 H
34 04:23.388 02:44.122 01:03.005 00:36.261 1 H
35 02:16.516 00:39.797 01:00.809 00:35.910 0 H
36 02:16.990 00:39.646 01:01.245 00:36.099 0 H
37 03:57.511 02:19.352 01:02.051 00:36.108 1 H
38 02:17.206 00:39.646 01:00.844 00:36.716 0 H
7th Michael Rasch in STM BMW M4 2022
Best: 02:16.561, Potential: 02:16.561
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 08:49.935 06:44.519 01:27.850 00:37.566 1 H
2 02:21.165 00:40.608 01:03.864 00:36.693 0 H
3 06:00.832 04:17.148 01:06.217 00:37.467 1 H
4 06:00.388 04:16.312 01:06.532 00:37.544 1 H
5 02:38.293 00:40.015 01:04.233 00:54.045 0 H
6 02:44.561 00:40.564 01:03.999 00:59.998 0 H
7 10:36.644 08:54.747 01:05.097 00:36.800 1 H
8 02:21.807
C
00:39.801 01:03.711 00:38.295 1 H
9 02:20.309 00:40.167 01:03.481 00:36.661 0 H
10 04:11.530 02:08.887 01:04.728 00:57.915 1 H
11 02:20.676 00:40.249 01:03.706 00:36.721 0 H
12 06:20.584 04:35.325 01:07.779 00:37.480 1 H
13 02:30.044 00:40.173 01:03.846 00:46.025 0 H
14 02:22.468 00:40.854 01:04.539 00:37.075 0 H
15 02:21.027 00:40.406 01:03.433 00:37.188 0 H
16 02:20.264 00:40.238 01:03.221 00:36.805 0 H
17 10:11.562 08:29.164 01:04.949 00:37.449 1 H
18 02:35.574 00:40.140 01:02.955 00:52.479 0 H
19 02:21.056
C
00:41.157 01:03.188 00:36.711 1 H
20 02:20.331
C
00:39.719 01:04.148 00:36.464 1 H
21 04:27.128 02:46.895 01:04.197 00:36.036 1 S
22 02:17.424 00:39.909 01:01.564 00:35.951 0 S
23 02:17.686 00:40.225 01:01.654 00:35.807 0 S
24 03:43.575 02:03.944 01:03.181 00:36.450 1 S
25 02:16.561
L
00:39.775
S
01:01.106
S
00:35.680
S
0 S
26 02:21.567 00:40.150 01:04.840 00:36.577 0 S
27 02:20.485 00:39.824 01:02.173 00:38.488 0 S
28 02:18.695 00:39.786 01:02.864 00:36.045 0 S
29 02:18.279
C
00:40.692 01:01.780 00:35.807 1 S
30 02:18.842
C
00:39.771 01:02.504 00:36.567 1 S
31 11:41.170 09:56.972 01:07.447 00:36.751 1 H
32 02:20.693 00:40.038 01:03.099 00:37.556 0 H
8th Michael Weimer in STM Audi RS5 2022
Best: 02:16.721, Potential: 02:16.634
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:48.063 04:06.070 01:04.778 00:37.215 1 S
2 02:19.508 00:40.347 01:02.477 00:36.684 0 S
3 07:10.162 05:28.516 01:03.378 00:38.268 1 H
4 02:19.073 00:39.943 01:02.473 00:36.657 1 H
5 05:05.179 03:19.910 01:03.590 00:41.679 1 H
6 02:24.842 00:39.722 01:01.781 00:43.339 0 H
7 02:18.108 00:39.787 01:01.934 00:36.387 0 H
8 02:17.587 00:39.582 01:01.668 00:36.337 0 H
9 04:24.677 02:45.983 01:02.447 00:36.247 1 H
10 06:24.703 04:43.691 01:03.536 00:37.476 1 H
11 02:45.255 01:04.549 01:03.585 00:37.121 1 H
12 02:17.272
C
00:39.654 01:01.694 00:35.924 1 H
13 02:17.282 00:39.655 01:01.366 00:36.261 0 H
14 02:17.176 00:39.629 01:01.290 00:36.257 0 H
15 02:16.977 00:39.561 01:01.069
S
00:36.347 0 H
16 13:11.410 11:31.618 01:03.491 00:36.301 1 H
17 02:18.043 00:39.606 01:02.243 00:36.194 0 H
18 02:18.326 00:39.444
S
01:02.117 00:36.765 0 H
19 02:16.721
L
00:39.521 01:01.079 00:36.121
S
0 H
9th Andreas Braun in STM Mercedes C63 2022
Best: 02:16.780, Potential: 02:16.731
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:39.056 01:57.631 01:04.395 00:37.030 1 H
2 02:18.571 00:39.863 01:01.947 00:36.761 0 H
3 02:18.552 00:39.848 01:02.114 00:36.590 0 H
4 02:19.734 00:40.211 01:02.163 00:37.360 0 H
5 03:27.114 01:46.894 01:03.707 00:36.513 1 H
6 02:19.603 00:39.744 01:02.873 00:36.986 0 H
7 02:18.480 00:39.745 01:02.158 00:36.577 1 H
8 02:17.929 00:39.586 01:02.087 00:36.256 0 H
9 02:18.119 00:39.624 01:02.306 00:36.189 0 H
10 02:16.780
L
00:39.386 01:01.435
S
00:35.959
S
0 H
11 04:09.643 02:29.424 01:03.441 00:36.778 1 H
12 02:18.677 00:39.826 01:02.159 00:36.692 0 H
13 02:18.171 00:39.643 01:01.771 00:36.757 0 H
14 17:09.645 15:21.087 01:11.423 00:37.135 1 H
15 02:18.316 00:39.743 01:01.889 00:36.684 0 H
16 04:11.151 02:30.467 01:03.928 00:36.756 1 H
17 04:56.338 03:15.241 01:04.211 00:36.886 1 H
18 02:19.033 00:39.628 01:02.267 00:37.138 0 H
19 05:45.038 04:04.189 01:04.121 00:36.728 1 H
20 02:18.085 00:39.337
S
01:02.487 00:36.261 0 H
21 04:04.554 02:24.082 01:04.130 00:36.342 1 H
10th Eileen Weimer in STM Audi RS5 2022
Best: 02:17.150, Potential: 02:16.729
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:47.883 01:04.724 01:05.053 00:38.106 1 H
2 02:23.190 00:41.400 01:04.039 00:37.751 1 H
3 02:22.902 00:41.354 01:03.563 00:37.985 0 H
4 02:22.717 00:41.220 01:03.260 00:38.237 0 H
5 03:26.407 01:46.889 01:02.686 00:36.832 1 H
6 02:18.462 00:40.164 01:01.749 00:36.549 0 H
7 02:17.708 00:39.820 01:01.457 00:36.431 0 H
8 02:17.964 00:39.792 01:01.780 00:36.392 0 H
9 02:17.560 00:39.708 01:01.447 00:36.405 0 H
10 02:17.498 00:39.894 01:01.181 00:36.423 0 H
11 05:59.458 04:19.954 01:03.171 00:36.333 1 H
12 04:43.748 03:00.654 01:05.924 00:37.170 1 H
13 02:17.932 00:39.800 01:01.740 00:36.392 0 H
14 02:19.924 00:39.533
S
01:04.049 00:36.342 0 H
15 02:18.308 00:39.651 01:01.929 00:36.728 0 H
16 05:19.575 03:39.188 01:03.244 00:37.143 1 H
17 02:18.806 00:39.824 01:01.867 00:37.115 0 H
18 05:10.484 03:31.467 01:02.644 00:36.373 1 H
19 02:18.333 00:39.890 01:01.714 00:36.729 0 H
20 02:17.182 00:39.788 01:01.111
S
00:36.283 0 H
21 02:17.633 00:39.637 01:01.645 00:36.351 0 H
22 03:26.755 01:47.395 01:02.609 00:36.751 1 H
23 02:17.615 00:39.853 01:01.425 00:36.337 0 H
24 02:17.307 00:39.836 01:01.318 00:36.153 0 H
25 02:17.150
L
00:39.820 01:01.245 00:36.085
S
0 H
11th Steffen Maschke in STM Audi RS5 2022
Best: 02:17.697, Potential: 02:17.247
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:25.250 01:44.437 01:03.940 00:36.873 1 S
2 02:17.954 00:39.963 01:01.731
S
00:36.260 0 S
3 05:06.678 03:26.327 01:03.297 00:37.054 1 H
4 04:02.788 02:22.452 01:04.219 00:36.117 1 H
5 02:17.697
L
00:39.358
S
01:02.181 00:36.158
S
0 H
6 02:54.545 01:15.447 01:02.999 00:36.099 1 H
7 03:27.597 01:46.648 01:04.908 00:36.041 1 H
8 07:06.541 05:10.751 01:20.276 00:35.514 1 S
9 02:18.093 00:40.307 01:02.254 00:35.532 1 S
12th Lars Borkowski in STM Mercedes C63 2022
Best: 02:18.626, Potential: 02:18.626
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 07:23.755 05:35.228 01:09.125 00:39.402 1 H
2 02:23.222 00:41.855 01:04.211 00:37.156 0 H
3 05:50.390 04:08.114 01:05.039 00:37.237 1 H
4 02:21.392 00:40.872 01:03.648 00:36.872 0 H
5 02:20.272 00:40.062 01:03.391 00:36.819 0 H
6 02:19.758 00:39.957 01:02.936 00:36.865 0 H
7 02:52.738 01:02.429 01:05.989 00:44.320 1 H
8 02:51.015 01:08.950 01:05.218 00:36.847 1 H
9 02:23.878 00:42.443 01:04.130 00:37.305 0 H
10 02:18.993 00:39.939 01:02.536 00:36.518 0 H
11 02:18.626
L
00:39.681
S
01:02.531
S
00:36.414
S
0 H
13th Dieter Suessenguth in STM Mercedes C63 2022
Best: 02:24.176, Potential: 02:24.176
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 06:21.623 04:33.902 01:07.325 00:40.396 1 H
2 02:23.953
C
00:41.434 01:04.305 00:38.214 1 H
3 02:24.176
L
00:41.171
S
01:04.832
S
00:38.173
S
0 H
14th Herbert Aeckerle in STM Mercedes C63 2022
Best: 02:29.582, Potential: 02:29.186
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 06:58.479 04:55.367 01:13.967 00:49.145 1 S
2 07:29.902 05:30.638 01:17.428 00:41.836 1 S
3 02:42.496 00:45.843 01:15.757 00:40.896 0 S
4 02:36.601 00:43.664 01:12.936 00:40.001 0 S
5 02:34.833 00:42.629 01:12.082 00:40.122 0 S
6 02:31.334
C
00:41.265 01:09.264 00:40.805 1 S
7 02:32.300 00:42.690 01:09.686 00:39.924 0 S
8 03:15.828 01:14.998 01:16.329 00:44.501 1 S
9 02:37.009
C
00:44.230 01:12.986 00:39.793 1 S
10 02:35.314 00:42.296 01:10.700 00:42.318 0 S
11 02:30.814 00:42.499 01:09.872 00:38.443
S
0 S
12 02:51.437 00:42.747 01:12.252 00:56.438 0 S
13 02:37.818 00:45.012 01:11.279 00:41.527 0 S
14 02:42.540 00:48.231 01:13.926 00:40.383 0 S
15 02:35.497 00:42.813 01:11.208 00:41.476 0 S
16 04:16.749 02:17.526 01:15.001 00:44.222 1 S
17 02:40.245 00:44.063 01:14.502 00:41.680 1 S
18 02:35.254 00:43.938 01:10.911 00:40.405 0 S
19 02:42.194 00:48.354 01:12.522 00:41.318 0 S
20 05:32.678 03:38.252 01:14.183 00:40.243 1 S
21 02:39.590 00:42.586 01:11.469 00:45.535 0 S
22 02:35.334 00:43.815 01:11.765 00:39.754 0 S
23 02:52.754 00:58.977 01:13.601 00:40.176 1 S
24 02:29.582
L
00:41.475
S
01:09.268
S
00:38.839 0 S