SRV Melbourne 2022 - Layout GP (3xDRS)

26 Jun 22 20:52 CEST
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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 Stiftung Plankentest I STM Audi RS5 2022 01:42.318
Tyre: S
01:50.181 52 laps / 13 cuts 9 - 35
2 Stiftung Plankentest II STM Audi RS5 2022 01:42.406
Tyre: S
01:44.187 26 laps / 5 cuts 6 - 182
3 Horizont Personalmanagement Racing STM Audi RS5 2022 01:43.080
Tyre: S
01:46.544 42 laps / 6 cuts 18 - 236
4 SRV Jägermeister eSport II STM Audi RS5 2022 01:43.098
Tyre: S
01:56.699 26 laps / 5 cuts 8 - 225
5 Micro-Machines Sim Racing I STM Mercedes C63 2022 01:43.144
Tyre: S
02:00.533 44 laps / 7 cuts 9 - 18
6 Micro-Machines Sim Racing II STM Mercedes C63 2022 01:43.305
Tyre: S
01:44.330 17 laps / 2 cuts 3 - 198
7 MOR eSports STM BMW M4 2022 01:44.822
Tyre: S
02:02.813 18 laps / 1 cuts 14 - 62
8 Horizont Personalmanagement Racing STM BMW M4 2022 01:46.303
Tyre: S
02:18.680 10 laps / 2 cuts 9 - 44
9 HW Performance STM Mercedes C63 2022 01:48.044
Tyre: S
01:57.842 19 laps / 3 cuts 17 - 71
10 Bayern Racing STM Mercedes C63 2022 01:48.067
Tyre: S
01:54.494 30 laps / 9 cuts 7 - 227
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 48.5 X: 1.0 Y: -0.4 Z: 1.8 X: -607.6 Y: 3.3 Z: -581.1 16:48:12 (CEST)
2 Collision with environment 16.2 X: 1.0 Y: -0.4 Z: 1.8 X: -607.4 Y: 3.3 Z: -577.1 16:55:47 (CEST)
3 Collision with environment 83.2 X: 0.7 Y: -0.4 Z: 2.3 X: -133.0 Y: 3.2 Z: -814.7 16:57:52 (CEST)
4 Collision with environment 3.0 X: -1.0 Y: -0.3 Z: 1.8 X: 198.1 Y: 3.4 Z: 191.4 17:06:49 (CEST)
5 Collision with environment 49.1 X: -1.0 Y: -0.4 Z: 1.8 X: -386.0 Y: 3.0 Z: 27.9 17:07:09 (CEST)
6 Collision with environment 36.1 X: -0.9 Y: 0.1 Z: -1.8 X: -459.1 Y: 3.3 Z: -14.9 17:07:14 (CEST)
7 Collision with environment 37.7 X: -0.9 Y: -0.4 Z: -1.9 X: -437.7 Y: 2.9 Z: -18.7 17:07:19 (CEST)
8 Collision with environment 17.1 X: 0.9 Y: -0.4 Z: -1.9 X: -444.8 Y: 3.0 Z: -24.5 17:07:24 (CEST)
9 Collision with environment 14.0 X: -1.0 Y: -0.4 Z: 1.8 X: -464.8 Y: 2.9 Z: -41.9 17:07:29 (CEST)
10 Collision with environment 15.8 X: -1.0 Y: -0.4 Z: 1.8 X: -469.6 Y: 2.9 Z: -46.2 17:07:34 (CEST)
11 Collision with environment 2.5 X: -1.0 Y: -0.3 Z: -1.0 X: 204.3 Y: 3.4 Z: 196.5 17:12:59 (CEST)
12 Collision with environment 3.3 X: -1.0 Y: -0.3 Z: -1.0 X: 203.9 Y: 3.4 Z: 196.2 17:19:54 (CEST)
13 Collision with environment 10.9 X: -1.0 Y: -0.3 Z: -1.0 X: 197.5 Y: 3.4 Z: 190.9 17:54:49 (CEST)
14 Collision with environment 95.5 X: 0.8 Y: -0.3 Z: 2.2 X: 563.9 Y: 3.4 Z: 350.0 17:56:44 (CEST)
15 Collision with environment 10.1 X: 1.0 Y: -0.3 Z: 1.8 X: 153.3 Y: 2.8 Z: 730.6 18:03:32 (CEST)
16 Collision with environment 130.8 X: -0.8 Y: -0.3 Z: 2.2 X: 123.2 Y: 2.6 Z: 677.8 18:03:37 (CEST)
17 Collision with environment 118.9 X: 0.7 Y: -0.3 Z: 2.3 X: 750.5 Y: 3.8 Z: 854.6 18:04:19 (CEST)
18 Collision with environment 0.6 X: -0.7 Y: -0.4 Z: 2.3 X: 749.4 Y: 3.8 Z: 854.8 18:04:24 (CEST)
19 Collision with environment 0.2 X: -0.7 Y: -0.4 Z: 2.3 X: 749.4 Y: 3.8 Z: 854.8 18:04:29 (CEST)
20 Collision with environment 5.8 X: -1.0 Y: -0.3 Z: 1.8 X: -244.9 Y: 2.8 Z: -863.2 18:31:40 (CEST)
21 Collision with environment 50.2 X: -0.6 Y: -0.4 Z: 2.3 X: -350.0 Y: 2.7 Z: 111.0 18:35:24 (CEST)
22 Collision with environment 72.8 X: -0.8 Y: -0.4 Z: 2.2 X: 137.8 Y: 2.4 Z: 691.5 18:41:19 (CEST)
23 Collision with environment 8.4 X: 1.0 Y: -0.3 Z: 1.8 X: 154.1 Y: 2.8 Z: 731.3 18:45:25 (CEST)
24 Collision with environment 8.2 X: 1.0 Y: -0.3 Z: 1.8 X: -607.6 Y: 3.4 Z: -583.5 18:45:59 (CEST)
25 Collision with environment 21.1 X: -0.9 Y: -0.4 Z: 2.2 X: -646.8 Y: 2.8 Z: -415.1 18:54:21 (CEST)
26 Collision with environment 67.4 X: -0.5 Y: -0.4 Z: 2.3 X: 133.3 Y: 2.5 Z: 687.3 19:00:19 (CEST)
27 Collision with environment 6.3 X: 1.0 Y: -0.3 Z: -1.0 X: 155.6 Y: 2.7 Z: 732.9 19:02:56 (CEST)
28 Collision with environment 4.8 X: 1.0 Y: -0.3 Z: -1.0 X: 149.8 Y: 2.7 Z: 726.9 19:06:26 (CEST)
29 Collision with environment 34.4 X: 0.9 Y: -0.4 Z: 2.2 X: -560.9 Y: 2.9 Z: -116.0 19:08:57 (CEST)
30 Collision with environment 5.5 X: -1.0 Y: -0.3 Z: 1.8 X: -248.2 Y: 2.8 Z: -862.9 19:12:31 (CEST)
31 Collision with environment 2.6 X: -0.9 Y: -0.4 Z: 2.2 X: -642.5 Y: 2.8 Z: -416.6 19:25:12 (CEST)
32 Collision with environment 90.8 X: -0.9 Y: -0.3 Z: 2.2 X: -424.5 Y: 3.1 Z: -8.0 19:29:51 (CEST)
33 Collision with environment 2.3 X: -1.0 Y: -0.3 Z: 1.8 X: -492.0 Y: 3.1 Z: -67.6 19:29:56 (CEST)
34 Collision with environment 39.8 X: -0.9 Y: -0.4 Z: 2.2 X: -645.8 Y: 2.8 Z: -415.4 19:34:07 (CEST)
35 Collision with environment 0.8 X: -0.9 Y: -0.4 Z: 2.2 X: -628.0 Y: 2.7 Z: -421.3 19:34:12 (CEST)
36 Collision with environment 4.8 X: -1.0 Y: -0.3 Z: 1.8 X: -244.6 Y: 2.7 Z: -863.2 19:40:21 (CEST)
37 Collision with environment 119.3 X: -0.9 Y: -0.3 Z: 2.2 X: -248.3 Y: 2.7 Z: -862.9 19:42:01 (CEST)
38 Collision with environment 60.3 X: 1.0 Y: -0.3 Z: 1.9 X: -164.0 Y: 2.9 Z: -866.7 19:42:06 (CEST)
39 Collision with environment 1.1 X: 1.0 Y: -0.3 Z: 1.8 X: -158.0 Y: 2.7 Z: -856.4 19:42:11 (CEST)
40 Collision with environment 100.6 X: 0.7 Y: -0.1 Z: 2.2 X: -605.4 Y: 3.4 Z: -535.6 19:55:17 (CEST)
41 Collision with environment 5.2 X: 0.9 Y: -0.4 Z: -1.9 X: -606.7 Y: 3.3 Z: -559.7 19:55:22 (CEST)
42 Collision with environment 19.6 X: -0.9 Y: -0.4 Z: -1.9 X: -401.6 Y: 3.0 Z: 12.5 19:57:08 (CEST)
43 Collision with environment 47.1 X: -0.9 Y: -0.3 Z: 2.1 X: 511.1 Y: 2.8 Z: 336.6 20:02:08 (CEST)
44 Collision with environment 4.8 X: 0.9 Y: -0.3 Z: -1.9 X: 151.1 Y: 2.7 Z: 728.3 20:02:26 (CEST)
45 Collision with environment 13.6 X: -0.9 Y: -0.4 Z: 2.2 X: -643.8 Y: 2.9 Z: -416.1 20:03:18 (CEST)
46 Collision with environment 56.3 X: -0.9 Y: -0.3 Z: -1.9 X: -379.3 Y: 3.0 Z: 34.7 20:04:26 (CEST)
47 Collision with environment 7.5 X: 1.0 Y: -0.4 Z: -1.0 X: 151.2 Y: 2.7 Z: 728.4 20:04:47 (CEST)
48 Collision with environment 134.7 X: 0.9 Y: -0.4 Z: 2.2 X: 123.8 Y: 2.6 Z: 702.9 20:04:52 (CEST)
49 Collision with environment 22.5 X: 1.0 Y: -0.4 Z: -1.5 X: -36.5 Y: 3.1 Z: 548.6 20:04:57 (CEST)
50 Collision with environment 19.4 X: -1.0 Y: -0.3 Z: 2.0 X: 70.0 Y: 3.4 Z: 63.3 20:06:59 (CEST)
51 Collision with environment 35.3 X: -0.9 Y: -0.4 Z: 2.2 X: -649.2 Y: 2.8 Z: -414.3 20:09:41 (CEST)
52 Collision with environment 29.0 X: -1.0 Y: -0.4 Z: 1.8 X: -412.9 Y: 3.0 Z: 2.8 20:12:22 (CEST)
53 Collision with environment 6.7 X: -1.0 Y: -0.4 Z: 1.8 X: 427.8 Y: 2.3 Z: 786.2 20:12:41 (CEST)
54 Collision with environment 5.7 X: 1.0 Y: -0.4 Z: 1.8 X: -607.6 Y: 3.3 Z: -583.1 20:13:08 (CEST)
55 Collision with environment 45.5 X: 0.9 Y: -0.3 Z: 2.1 X: -152.7 Y: 2.7 Z: -847.0 20:15:07 (CEST)
56 Collision with environment 40.7 X: 0.9 Y: -0.4 Z: 2.2 X: -85.6 Y: 3.3 Z: -827.4 20:15:12 (CEST)
57 Collision with environment 1.8 X: 1.0 Y: -0.4 Z: 1.8 X: -72.1 Y: 3.4 Z: -824.7 20:15:17 (CEST)
58 Collision with environment 76.8 X: -0.8 Y: -0.4 Z: 2.2 X: 510.1 Y: 2.8 Z: 336.0 20:16:01 (CEST)
59 Collision with environment 75.7 X: 0.7 Y: -0.3 Z: 2.3 X: 656.0 Y: 3.3 Z: 809.9 20:16:39 (CEST)
60 Collision with environment 29.8 X: -1.0 Y: -0.4 Z: 1.8 X: 154.5 Y: 3.2 Z: 154.8 20:16:42 (CEST)
61 Collision with environment 42.2 X: -0.9 Y: -0.3 Z: 2.2 X: -654.5 Y: 3.0 Z: -412.5 20:19:13 (CEST)
62 Collision with environment 132.1 X: -0.9 Y: -0.4 Z: 2.2 X: -252.3 Y: 2.7 Z: -862.0 20:19:47 (CEST)
63 Collision with environment 63.7 X: 0.8 Y: -0.4 Z: 2.2 X: -160.1 Y: 2.9 Z: -860.0 20:19:52 (CEST)
64 Collision with environment 53.2 X: -0.6 Y: -0.4 Z: 2.3 X: -639.5 Y: 2.8 Z: -417.6 20:21:47 (CEST)
65 Collision with environment 28.1 X: -0.9 Y: -0.2 Z: -1.8 X: -349.8 Y: 2.9 Z: 112.9 20:22:06 (CEST)
66 Collision with environment 21.3 X: 0.9 Y: -0.4 Z: -1.9 X: 97.5 Y: 3.3 Z: -398.2 20:22:08 (CEST)
67 Collision with environment 7.7 X: 1.0 Y: -0.3 Z: -1.4 X: 152.1 Y: 2.7 Z: 729.3 20:26:21 (CEST)
68 Collision with environment 4.5 X: -1.0 Y: -0.3 Z: 1.8 X: 198.0 Y: 3.4 Z: 191.3 20:34:58 (CEST)
69 Collision with environment 47.9 X: -0.9 Y: -0.4 Z: 2.2 X: 311.9 Y: 2.9 Z: 733.6 20:41:32 (CEST)
70 Collision with environment 92.1 X: -0.7 Y: -0.4 Z: 2.3 X: -153.3 Y: 3.1 Z: -817.8 20:44:51 (CEST)
71 Collision with environment 52.1 X: -0.6 Y: -0.3 Z: 2.3 X: -349.8 Y: 2.7 Z: 112.9 20:45:53 (CEST)
Car Env Rel
SRV Melbourne 2022 - Layout GP (3xDRS) SRV Melbourne 2022 - Layout GP (3xDRS) collisions

There were no penalties in this session.

1st Tim Quoos in STM Audi RS5 2022
Best: 01:42.318, Potential: 01:41.978
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:41.006 01:32.305 00:23.121 00:45.580 1 H
2 01:45.996
C
00:36.552 00:24.992 00:44.452 1 H
3 01:43.778 00:36.692 00:22.591 00:44.495 0 H
4 02:45.936 01:38.525 00:23.328 00:44.083 0 S
5 01:42.887 00:36.495 00:22.585 00:43.807 0 S
6 01:43.075 00:36.111 00:22.454 00:44.510 0 S
7 01:42.903 00:36.276 00:22.486 00:44.141 0 S
8 01:42.518 00:36.125 00:22.482 00:43.911 0 S
9 01:43.017 00:36.102 00:22.383 00:44.532 0 S
10 33:16.429 32:08.853 00:23.219 00:44.357 0 S
11 01:43.240 00:36.424 00:22.612 00:44.204 0 S
12 01:42.822 00:36.123 00:22.495 00:44.204 0 S
13 32:00.311 30:48.401 00:25.164 00:46.746 0 S
14 01:42.940 00:36.277 00:22.882 00:43.781 0 S
15 01:42.318
L
L
00:36.294 00:22.279
S
S
00:43.745 0 S
16 01:44.854
C
00:35.919 00:23.647 00:45.288 1 S
17 11:03.170 09:55.239 00:23.192 00:44.739 0 S
18 02:36.489 01:28.039 00:23.450 00:45.000 1 S
19 03:03.591 01:55.784 00:23.567 00:44.240 0 S
20 01:44.075 00:36.450 00:22.954 00:44.671 0 S
21 01:43.359 00:36.219 00:22.706 00:44.434 0 S
22 01:42.429 00:35.977
S
S
00:22.487 00:43.965 0 S
23 01:42.536 00:36.310 00:22.504 00:43.722
S
0 S
24 01:43.521 00:36.466 00:22.770 00:44.285 0 S
25 01:49.790 00:42.336 00:22.990 00:44.464 0 S
26 01:42.746 00:36.173 00:22.500 00:44.073 0 S
27 01:42.890 00:36.399 00:22.454 00:44.037 0 S
28 03:18.525 02:10.745 00:22.942 00:44.838 0 S
29 01:42.559
C
00:36.274 00:22.518 00:43.767 1 S
30 01:44.212 00:36.905 00:22.748 00:44.559 0 S
31 01:42.687
C
00:36.203 00:22.266 00:44.218 1 S
32 01:43.040 00:36.621 00:22.626 00:43.793 0 S
33 01:42.981 00:36.245 00:22.676 00:44.060 0 S
34 01:43.135
C
00:36.409 00:22.441 00:44.285 1 S
35 01:43.533
C
00:36.888 00:22.545 00:44.100 1 S
36 01:42.843 00:36.540 00:22.437 00:43.866 0 S
37 01:43.135 00:36.431 00:22.465 00:44.239 0 S
38 01:43.402
C
00:36.663 00:23.093 00:43.646 1 S
39 01:44.343 00:36.883 00:22.631 00:44.829 0 S
40 02:01.954 00:36.414 00:22.905 01:02.635 1 H
41 01:51.799 00:43.651 00:23.171 00:44.977 1 H
42 01:44.414 00:36.726 00:22.743 00:44.945 0 H
43 01:44.502 00:37.253 00:22.672 00:44.577 0 H
44 01:44.058 00:36.684 00:22.648 00:44.726 0 H
45 01:44.273 00:36.728 00:22.906 00:44.639 0 H
46 01:43.736
C
00:36.795 00:22.553 00:44.388 1 H
47 01:43.728
C
00:36.480 00:22.527 00:44.721 1 H
48 01:43.716 00:36.584 00:22.635 00:44.497 0 H
49 01:43.508 00:36.751 00:22.892 00:43.865 0 H
50 01:43.817 00:36.516 00:22.675 00:44.626 0 H
51 01:44.700 00:36.867 00:22.751 00:45.082 0 H
52 01:44.102 00:36.594 00:23.264 00:44.244 0 H
2nd Yvan Thilmany in STM Audi RS5 2022
Best: 01:42.406, Potential: 01:42.062
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:16.864 04:03.842 00:23.621 00:49.401 1 H
2 01:45.841 00:37.905 00:22.765 00:45.171 0 H
3 03:49.982 02:39.837 00:23.800 00:46.345 1 H
4 01:47.080 00:37.533 00:23.868 00:45.679 0 H
5 01:44.577 00:37.077 00:22.909 00:44.591 0 H
6 01:44.390 00:36.999 00:22.810 00:44.581 0 H
7 01:44.331 00:36.695 00:22.554 00:45.082 0 H
8 01:44.966 00:37.273 00:22.914 00:44.779 0 H
9 01:44.947 00:36.795 00:22.715 00:45.437 0 H
10 01:44.275 00:37.032 00:22.765 00:44.478 0 H
11 01:47.839 00:39.880 00:23.350 00:44.609 0 H
12 01:43.915 00:36.824 00:22.640 00:44.451 0 H
13 05:47.766 04:39.392 00:23.769 00:44.605 0 S
14 01:42.726 00:36.396 00:22.814 00:43.516
S
S
0 S
15 01:42.406
L
00:36.351 00:22.396 00:43.659 0 S
16 01:42.601 00:36.159
S
00:22.657 00:43.785 0 S
17 01:43.762 00:36.645 00:23.022 00:44.095 0 S
18 01:42.722 00:36.271 00:22.473 00:43.978 0 S
19 01:43.448 00:36.367 00:22.387
S
00:44.694 0 S
20 01:45.167 00:38.315 00:22.617 00:44.235 1 S
21 08:20.353 07:12.714 00:23.534 00:44.105 0 S
22 01:42.709 00:36.519 00:22.400 00:43.790 0 S
23 01:42.506
C
00:36.437 00:22.555 00:43.514 1 S
24 04:54.798 03:47.518 00:23.296 00:43.984 0 S
25 01:42.037
C
00:36.134 00:22.411 00:43.492 1 S
26 01:42.844 00:36.330 00:22.486 00:44.028 0 S
3rd Thomas Kneissler in STM Audi RS5 2022
Best: 01:43.080, Potential: 01:42.985
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 06:12.205 04:41.998 00:35.726 00:54.481 1 S
2 01:48.519 00:38.912 00:23.225 00:46.382 0 S
3 01:46.865 00:37.818 00:23.364 00:45.683 0 S
4 01:45.366 00:37.316 00:23.023 00:45.027 0 S
5 01:45.408 00:37.574 00:22.865 00:44.969 0 S
6 01:44.417 00:36.931 00:22.901 00:44.585 0 S
7 01:44.389 00:36.763 00:22.995 00:44.631 0 S
8 01:44.338 00:36.896 00:23.018 00:44.424 0 S
9 01:44.905 00:37.202 00:23.139 00:44.564 0 S
10 01:45.999
C
00:37.000 00:23.679 00:45.320 1 S
11 01:47.117 00:38.043 00:23.462 00:45.612 0 S
12 01:45.622 00:37.236 00:23.166 00:45.220 0 S
13 01:48.019 00:37.288 00:22.986 00:47.745 0 S
14 01:45.882 00:37.459 00:22.964 00:45.459 0 S
15 02:09.568 00:38.848 00:23.094 01:07.626 1 H
16 01:57.298 00:46.851 00:23.701 00:46.746 1 H
17 01:46.354 00:37.526 00:23.009 00:45.819 0 H
18 01:47.232 00:37.697 00:23.306 00:46.229 0 H
19 01:47.963 00:38.591 00:23.639 00:45.733 0 H
20 01:46.274 00:37.290 00:23.364 00:45.620 0 H
21 01:46.346 00:37.443 00:23.246 00:45.657 0 H
22 01:46.347 00:37.776 00:23.332 00:45.239 0 H
23 01:45.925 00:37.242 00:23.229 00:45.454 0 H
24 01:46.215 00:37.374 00:23.292 00:45.549 0 H
25 01:46.874 00:37.669 00:23.135 00:46.070 0 H
26 01:49.793 00:38.073 00:23.067 00:48.653 0 H
27 01:46.625 00:37.650 00:23.166 00:45.809 0 H
28 01:45.878 00:37.380 00:23.017 00:45.481 0 H
29 01:46.652 00:37.623 00:23.210 00:45.819 0 H
30 01:48.174 00:38.905 00:23.224 00:46.045 0 H
31 01:48.481 00:37.966 00:23.432 00:47.083 0 H
32 01:47.646 00:37.931 00:23.076 00:46.639 0 H
33 01:48.517 00:38.034 00:23.404 00:47.079 0 H
34 01:50.566 00:40.011 00:23.471 00:47.084 0 H
35 01:48.964 00:37.904 00:23.612 00:47.448 0 H
36 04:15.268 03:06.508 00:23.805 00:44.955 0 S
37 01:43.825 00:36.766 00:22.964 00:44.095
S
0 S
38 01:44.122
C
00:36.523 00:23.431 00:44.168 1 S
39 01:43.928 00:36.591 00:22.904 00:44.433 0 S
40 03:08.013 01:59.720 00:23.832 00:44.461 0 S
41 01:43.328
C
00:36.081 00:22.833 00:44.414 1 S
42 01:43.080
L
00:36.290
S
00:22.600
S
00:44.190 0 S
4th Michael Weimer in STM Audi RS5 2022
Best: 01:43.098, Potential: 01:43.008
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:28.219 01:19.018 00:23.499 00:45.702 1 S
2 01:44.946 00:37.032 00:22.779 00:45.135 0 S
3 01:43.662 00:36.467
S
00:22.447 00:44.748 0 S
4 01:43.859 00:36.841 00:22.739 00:44.279 0 S
5 01:43.660 00:36.831 00:22.355
S
00:44.474 0 S
6 01:44.163 00:37.230 00:22.383 00:44.550 0 S
7 01:44.341 00:36.949 00:22.486 00:44.906 0 S
8 01:44.752
C
00:36.991 00:23.099 00:44.662 1 S
9 01:44.144 00:36.762 00:22.562 00:44.820 0 S
10 03:51.976 02:42.910 00:23.094 00:45.972 1 S
11 01:44.765 00:37.279 00:22.707 00:44.779 0 S
12 01:43.979 00:36.925 00:22.667 00:44.387 0 S
13 19:31.590 18:16.071 00:24.241 00:51.278 1 H
14 03:50.188 02:41.365 00:23.323 00:45.500 0 S
15 01:45.549 00:37.247 00:22.946 00:45.356 0 S
16 01:47.302
C
00:37.295 00:23.585 00:46.422 1 S
17 04:58.994 03:50.694 00:23.138 00:45.162 0 S
18 02:20.510 01:11.714 00:23.563 00:45.233 0 S
19 01:44.339 00:36.857 00:22.546 00:44.936 0 S
20 01:44.722 00:36.903 00:23.012 00:44.807 0 S
21 01:44.712 00:37.275 00:22.747 00:44.690 0 S
22 11:11.193 10:01.866 00:23.710 00:45.617 0 S
23 01:45.840 00:36.971 00:23.328 00:45.541 0 S
24 02:56.264 01:47.837 00:23.374 00:45.053 0 S
25 01:44.555 00:36.938 00:22.608 00:45.009 0 S
26 01:43.098
L
00:36.511 00:22.401 00:44.186
S
0 S
5th Philipp Krauslach in STM Mercedes C63 2022
Best: 01:43.144, Potential: 01:42.544
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:45.511 01:34.614 00:24.291 00:46.606 1 H
2 01:47.492 00:38.989 00:23.053 00:45.450 0 H
3 01:45.311 00:37.312 00:22.986 00:45.013 0 H
4 06:41.376 05:30.375 00:23.476 00:47.525 0 H
5 01:48.369 00:37.462 00:22.874 00:48.033 0 H
6 01:45.650 00:37.228 00:23.099 00:45.323 0 H
7 04:30.398 03:20.091 00:23.724 00:46.583 0 H
8 04:28.211 03:19.168 00:23.827 00:45.216 0 H
9 01:47.724 00:37.402 00:22.950 00:47.372 0 H
10 04:27.272 03:16.843 00:24.287 00:46.142 0 H
11 01:45.131 00:37.497 00:22.855 00:44.779 0 H
12 01:44.384 00:37.051 00:22.779 00:44.554 0 H
13 01:46.320
C
00:38.891 00:22.753 00:44.676 1 H
14 01:53.211
C
00:45.287 00:22.807 00:45.117 1 H
15 01:47.572 00:38.996 00:23.198 00:45.378 0 H
16 01:45.558 00:37.081 00:22.694 00:45.783 0 H
17 01:45.907 00:38.398 00:22.797 00:44.712 0 H
18 01:48.491
C
00:38.638 00:23.368 00:46.485 1 H
19 02:50.903 01:40.816 00:23.872 00:46.215 0 H
20 01:45.275 00:37.393 00:22.640 00:45.242 0 H
21 01:46.347 00:37.974 00:22.842 00:45.531 0 H
22 01:45.727 00:37.228 00:22.648 00:45.851 0 H
23 04:19.961 03:11.156 00:23.743 00:45.062 0 S
24 01:43.664 00:36.862 00:22.531 00:44.271 0 S
25 01:43.678
C
00:36.754 00:22.464 00:44.460 1 S
26 01:43.591 00:36.779 00:22.613 00:44.199 0 S
27 01:44.630
C
00:36.532 00:22.549 00:45.549 1 S
28 01:44.547 00:37.321 00:22.617 00:44.609 0 S
29 03:06.147 01:57.531 00:23.670 00:44.946 0 S
30 01:44.715
C
00:37.277 00:22.869 00:44.569 1 S
31 01:43.454 00:36.917 00:22.555 00:43.982
S
0 S
32 01:47.174 00:37.767 00:22.518 00:46.889 0 S
33 01:44.826 00:36.673 00:22.423 00:45.730 0 S
34 02:32.226 01:24.230 00:23.472 00:44.524 0 S
35 01:43.653 00:36.431 00:22.437 00:44.785 0 S
36 01:43.257 00:36.611 00:22.519 00:44.127 0 S
37 01:43.770 00:36.958 00:22.716 00:44.096 0 S
38 01:43.185 00:36.724 00:22.478 00:43.983 0 S
39 01:44.337 00:36.188
S
00:22.456 00:45.693 0 S
40 01:43.144
L
00:36.724 00:22.374
S
00:44.046 0 S
41 01:44.329 00:36.739 00:22.442 00:45.148 0 S
42 01:47.488 00:39.322 00:23.031 00:45.135 0 S
43 01:47.533 00:39.934 00:22.779 00:44.820 0 S
44 01:44.977 00:37.031 00:22.834 00:45.112 0 S
6th Jean Ora in STM Mercedes C63 2022
Best: 01:43.305, Potential: 01:42.931
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:44.383 03:36.028 00:23.409 00:44.946 1 S
2 01:44.243 00:37.009 00:22.684 00:44.550 0 S
3 01:43.305
L
00:36.660 00:22.486
S
00:44.159
S
0 S
4 01:43.639 00:36.355 00:22.549 00:44.735 0 S
5 01:44.797 00:37.630 00:22.617 00:44.550 1 S
6 01:43.645 00:36.442 00:22.558 00:44.645 0 S
7 05:13.453 04:04.428 00:23.382 00:45.643 0 S
8 01:43.924 00:36.645 00:22.522 00:44.757 0 S
9 04:53.666 03:45.446 00:23.365 00:44.855 0 S
10 01:45.221 00:37.348 00:22.896 00:44.977 0 S
11 01:44.348 00:37.091 00:22.888 00:44.369 0 S
12 01:44.038 00:36.704 00:22.541 00:44.793 0 S
13 01:44.396 00:36.411 00:23.309 00:44.676 0 S
14 01:43.907 00:36.286
S
00:22.540 00:45.081 0 S
15 03:42.644 02:34.190 00:23.540 00:44.914 0 S
16 01:43.953 00:36.416 00:22.734 00:44.803 0 S
17 01:47.342 00:38.951 00:22.662 00:45.729 0 S
7th Lars Maisack in STM BMW M4 2022
Best: 01:44.822, Potential: 01:44.738
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 07:56.187 06:43.606 00:24.336 00:48.245 1 H
2 01:51.042 00:39.780 00:23.422 00:47.840 0 H
3 01:52.770 00:41.602 00:23.535 00:47.633 0 H
4 01:51.969 00:41.620 00:23.512 00:46.837 0 H
5 01:50.020 00:40.374 00:23.211 00:46.435 0 H
6 03:33.283 02:22.746 00:24.295 00:46.242 0 S
7 01:48.442 00:38.314 00:23.013 00:47.115 0 S
8 01:46.057 00:37.963 00:22.927 00:45.167 0 S
9 02:51.231 01:40.967 00:23.887 00:46.377 0 S
10 01:48.423 00:40.490 00:22.878 00:45.055 0 S
11 01:45.853 00:37.880 00:22.874
S
00:45.099 0 S
12 01:46.543 00:38.449 00:23.004 00:45.090 0 S
13 10:26.685 09:16.646 00:24.121 00:45.918 0 S
14 01:47.883 00:37.849 00:22.945 00:47.089 0 S
15 01:45.821 00:37.543 00:23.035 00:45.243 0 S
16 02:53.707 01:44.015 00:23.715 00:45.977 0 S
17 01:47.142 00:37.337
S
00:23.050 00:46.755 0 S
18 01:44.822
L
00:37.399 00:22.896 00:44.527
S
0 S
8th Daniel Amann in STM BMW M4 2022
Best: 01:46.303, Potential: 01:45.587
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 07:45.296 06:25.017 00:26.833 00:53.446 1 S
2 01:57.534 00:39.998 00:23.122 00:54.414 0 S
3 01:53.319 00:43.357 00:23.616 00:46.346 0 S
4 01:46.303
L
00:37.233
S
00:22.972
S
00:46.098 0 S
5 01:49.342
C
00:39.254 00:23.045 00:47.043 1 S
6 01:48.402 00:39.394 00:23.094 00:45.914 0 S
7 04:21.688 03:08.945 00:25.209 00:47.534 0 S
8 01:52.843 00:44.132 00:23.329 00:45.382
S
0 S
9 02:59.884 01:42.007 00:24.170 00:53.707 0 S
10 01:49.472 00:40.483 00:23.081 00:45.908 0 S
9th Dirk Wiedemann in STM Mercedes C63 2022
Best: 01:48.044, Potential: 01:48.044
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:25.320 01:07.757 00:26.721 00:50.842 1 H
2 01:56.217 00:41.004 00:24.606 00:50.607 0 H
3 01:55.991 00:42.124 00:24.993 00:48.874 0 H
4 01:52.485 00:39.899 00:24.615 00:47.971 0 H
5 02:28.312 01:14.903 00:24.647 00:48.762 1 H
6 01:53.288 00:41.207 00:24.067 00:48.014 0 H
7 01:55.499 00:44.229 00:24.025 00:47.245 0 H
8 01:53.578 00:39.706 00:24.079 00:49.793 0 H
9 01:51.840 00:39.875 00:24.332 00:47.633 0 H
10 01:51.698 00:39.554 00:24.399 00:47.745 0 H
11 02:47.712 01:32.994 00:25.582 00:49.136 1 H
12 03:09.778 01:56.514 00:25.398 00:47.866 0 H
13 01:52.213 00:39.668 00:24.116 00:48.429 0 H
14 01:50.436 00:39.354 00:24.115 00:46.967 0 H
15 02:10.333 00:39.073 00:23.971 01:07.289 0 H
16 01:50.904 00:40.497 00:24.075 00:46.332 0 H
17 01:49.736 00:38.943 00:23.760 00:47.033 0 H
18 02:55.377 01:43.309 00:24.300 00:47.768 0 S
19 01:48.044
L
00:38.915
S
00:23.338
S
00:45.791
S
0 S
10th Herbert Aeckerle in STM Mercedes C63 2022
Best: 01:48.067, Potential: 01:47.546
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:25.493 02:10.308 00:24.830 00:50.355 1 S
2 01:51.436 00:40.322 00:23.581 00:47.533 0 S
3 01:50.867 00:39.034 00:23.422 00:48.411 0 S
4 01:53.601
C
00:41.349 00:23.876 00:48.376 1 S
5 01:52.419 00:39.905 00:24.129 00:48.385 0 S
6 01:48.760 00:38.142 00:23.314
S
00:47.304 0 S
7 01:57.015 00:44.043 00:23.917 00:49.055 1 S
8 05:39.902 04:22.323 00:27.225 00:50.354 0 S
9 01:52.197
C
00:40.822 00:23.517 00:47.858 1 S
10 01:49.260 00:38.375 00:23.499 00:47.386 0 S
11 01:56.289 00:42.813 00:24.074 00:49.402 1 S
12 01:51.960 00:40.887 00:23.566 00:47.507 0 S
13 01:48.067
L
00:38.429 00:23.396 00:46.242
S
0 S
14 01:49.531 00:37.990
S
00:23.499 00:48.042 0 S
15 01:51.255 00:39.408 00:24.246 00:47.601 0 S
16 01:53.674
C
00:42.016 00:24.007 00:47.651 1 S
17 01:58.085 00:40.424 00:24.004 00:53.657 1 S
18 02:07.154 00:51.393 00:25.123 00:50.638 0 S
19 02:03.172 00:40.552 00:24.786 00:57.834 0 S
20 01:55.709 00:42.800 00:23.693 00:49.216 0 S
21 01:49.384 00:38.919 00:23.580 00:46.885 0 S
22 01:49.418 00:38.562 00:23.409 00:47.447 0 S
23 01:57.291 00:44.849 00:24.026 00:48.416 0 S
24 02:18.699 00:56.434 00:31.689 00:50.576 0 S
25 01:56.734 00:38.816 00:23.698 00:54.220 0 S
26 01:52.470 00:39.740 00:24.201 00:48.529 0 S
27 02:58.532 00:41.318 00:24.291 01:52.923 1 H
28 02:06.488 00:52.508 00:24.575 00:49.405 1 H
29 01:51.818 00:39.328 00:23.791 00:48.699 0 H
30 08:19.493 07:05.964 00:24.542 00:48.987 0 S