SRV Melbourne Layout GP (3xDRS)

22 Jan 22 23:27 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 I STM Audi RS5 2022 01:45.931
Tyre: S
02:31.720 22 laps / 8 cuts
2 HabAuchKeins STM BMW M4 2022 01:46.053
Tyre: M
02:35.153 34 laps / 12 cuts
3 SRV Jägermeister eSport II STM Audi RS5 2022 01:47.769
Tyre: M
02:41.573 23 laps / 10 cuts
4 Micro-Machines Sim Racing I STM Mercedes C63 2022 01:47.841
Tyre: M
02:05.607 36 laps / 9 cuts
5 SRV Jägermeister eSport I STM Audi RS5 2022 01:48.090
Tyre: M
01:48.692 7 laps / 5 cuts
6 Stiftung Plankentest II STM Audi RS5 2022 01:48.499
Tyre: M
02:44.739 44 laps / 8 cuts
7 Horizont Personalmanagement Racing STM Audi RS5 2022 01:48.813
Tyre: S
01:57.994 30 laps / 9 cuts
8 Micro-Machines Sim Racing I STM Mercedes C63 2022 01:51.994
Tyre: M
02:20.576 11 laps / 1 cuts
9 Bayern Racing STM Mercedes C63 2022 01:56.224
Tyre: M
02:00.583 45 laps / 11 cuts
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 22.8 X: 1.0 Y: -0.3 Z: 1.8 X: -516.7 Y: 3.7 Z: -747.9 18:38:13 (CET)
2 Collision with environment 18.8 X: -0.9 Y: -0.3 Z: 2.2 X: -663.4 Y: 2.9 Z: -409.5 18:40:23 (CET)
3 Collision with environment 11.1 X: 1.0 Y: -0.3 Z: -1.0 X: 156.3 Y: 2.7 Z: 733.6 18:45:03 (CET)
4 Collision with environment 90.6 X: -0.7 Y: -0.3 Z: 2.3 X: -352.1 Y: 2.8 Z: 94.1 18:50:43 (CET)
5 Collision with environment 70.8 X: 0.7 Y: -0.3 Z: 2.3 X: 63.0 Y: 3.8 Z: -394.2 19:04:38 (CET)
6 Collision with environment 15.6 X: 1.0 Y: -0.4 Z: -1.0 X: -554.4 Y: 4.2 Z: -722.0 19:06:24 (CET)
7 Collision with environment 7.9 X: 1.0 Y: -0.4 Z: 1.8 X: -527.2 Y: 3.8 Z: -741.8 19:06:29 (CET)
8 Collision with environment 35.4 X: -0.7 Y: -0.3 Z: 2.3 X: -674.5 Y: 2.8 Z: -406.8 19:08:13 (CET)
9 Collision with environment 16.8 X: 0.9 Y: -0.3 Z: -1.9 X: -604.9 Y: 3.1 Z: -522.8 19:12:18 (CET)
10 Collision with environment 31.0 X: -0.7 Y: -0.3 Z: 2.3 X: -346.7 Y: 2.9 Z: 134.9 19:16:13 (CET)
11 Collision with environment 12.8 X: 1.0 Y: -0.3 Z: 1.6 X: 157.7 Y: 2.7 Z: 735.0 19:27:46 (CET)
12 Collision with environment 11.7 X: 0.9 Y: -0.3 Z: -1.9 X: -605.2 Y: 3.2 Z: -532.4 19:33:03 (CET)
13 Collision with environment 27.6 X: -0.9 Y: -0.4 Z: 2.2 X: -669.3 Y: 2.8 Z: -407.6 19:33:49 (CET)
14 Collision with environment 101.0 X: 0.8 Y: -0.4 Z: 2.2 X: -606.7 Y: 3.2 Z: -560.3 19:34:03 (CET)
15 Collision with environment 3.1 X: 0.9 Y: -0.3 Z: 2.2 X: -7.3 Y: 3.3 Z: 548.3 19:34:07 (CET)
16 Collision with environment 3.6 X: -1.0 Y: -0.4 Z: 1.8 X: 202.2 Y: 3.4 Z: 194.8 19:36:33 (CET)
17 Collision with environment 9.8 X: 1.0 Y: -0.3 Z: 1.8 X: -412.6 Y: 2.8 Z: 27.3 19:38:12 (CET)
18 Collision with environment 66.0 X: -0.7 Y: -0.4 Z: 2.3 X: 631.8 Y: 3.1 Z: 819.2 19:38:51 (CET)
19 Collision with environment 3.9 X: 0.9 Y: -0.4 Z: -1.9 X: 598.9 Y: 3.0 Z: 835.0 19:38:56 (CET)
20 Collision with environment 17.1 X: 1.0 Y: -0.4 Z: -1.0 X: -509.4 Y: 3.6 Z: -752.0 19:43:24 (CET)
21 Collision with environment 26.4 X: 0.9 Y: -0.3 Z: 2.2 X: -9.0 Y: 3.3 Z: 546.7 19:45:56 (CET)
22 Collision with environment 2.1 X: 1.0 Y: -0.3 Z: 1.8 X: -21.1 Y: 3.3 Z: 535.0 19:46:01 (CET)
23 Collision with environment 9.7 X: 0.9 Y: 0.1 Z: -1.8 X: -533.9 Y: 4.4 Z: -737.8 19:53:16 (CET)
24 Collision with environment 55.1 X: -0.7 Y: -0.3 Z: 2.3 X: -652.1 Y: 3.0 Z: -413.3 19:55:16 (CET)
25 Collision with environment 123.9 X: -0.4 Y: -0.4 Z: 2.1 X: 514.5 Y: 2.9 Z: 340.0 19:55:28 (CET)
26 Collision with environment 60.4 X: 0.5 Y: -0.4 Z: 2.3 X: -604.8 Y: 3.0 Z: -524.4 19:56:48 (CET)
27 Collision with environment 21.7 X: -0.8 Y: -0.3 Z: -2.4 X: -606.6 Y: 3.4 Z: -557.5 19:56:53 (CET)
28 Collision with environment 45.3 X: -0.9 Y: -0.4 Z: -1.9 X: 119.0 Y: 2.6 Z: 673.0 19:59:06 (CET)
29 Collision with environment 12.3 X: 1.0 Y: -0.4 Z: 1.8 X: -606.5 Y: 3.3 Z: -556.4 20:00:50 (CET)
30 Collision with environment 28.8 X: 0.7 Y: -0.3 Z: 2.3 X: 56.0 Y: 3.7 Z: -383.7 20:03:03 (CET)
31 Collision with environment 14.6 X: 1.0 Y: -0.4 Z: 1.8 X: 160.8 Y: 2.8 Z: 738.3 20:04:10 (CET)
32 Collision with environment 45.6 X: 0.7 Y: -0.4 Z: 2.3 X: 60.3 Y: 3.7 Z: -390.3 20:07:28 (CET)
33 Collision with environment 32.2 X: -0.7 Y: -0.4 Z: 2.3 X: 627.0 Y: 3.7 Z: 844.7 20:10:17 (CET)
34 Collision with environment 36.7 X: -0.7 Y: -0.3 Z: 2.3 X: -679.4 Y: 2.7 Z: -404.8 20:14:19 (CET)
35 Collision with environment 35.0 X: 0.9 Y: -0.3 Z: 2.2 X: 42.0 Y: 3.0 Z: -271.8 20:17:40 (CET)
36 Collision with environment 19.7 X: -0.9 Y: -0.4 Z: 2.2 X: 630.3 Y: 3.0 Z: 819.9 20:18:32 (CET)
37 Collision with environment 31.7 X: 0.9 Y: -0.4 Z: 2.2 X: 59.7 Y: 3.7 Z: -389.4 20:20:03 (CET)
38 Collision with environment 6.7 X: 0.9 Y: -0.4 Z: 2.2 X: -604.9 Y: 3.0 Z: -523.0 20:21:18 (CET)
39 Collision with environment 10.4 X: 1.0 Y: -0.4 Z: 1.8 X: -507.8 Y: 3.6 Z: -753.0 20:22:13 (CET)
40 Collision with environment 77.6 X: 0.7 Y: 0.0 Z: 2.2 X: -417.4 Y: 3.1 Z: 22.7 20:22:36 (CET)
41 Collision with environment 60.5 X: 0.9 Y: -0.3 Z: 2.1 X: -436.5 Y: 3.0 Z: -17.7 20:22:41 (CET)
42 Collision with environment 14.3 X: -0.7 Y: -0.3 Z: 2.3 X: 176.9 Y: 2.2 Z: 715.2 20:25:58 (CET)
43 Collision with environment 8.7 X: -1.0 Y: -0.3 Z: 1.1 X: 120.1 Y: 2.7 Z: 671.6 20:26:03 (CET)
44 Collision with environment 8.2 X: 1.0 Y: -0.4 Z: -1.0 X: 155.3 Y: 2.7 Z: 732.6 20:26:52 (CET)
45 Collision with environment 34.3 X: 0.7 Y: -0.3 Z: 2.3 X: 61.7 Y: 3.8 Z: -392.3 20:27:15 (CET)
46 Collision with environment 86.4 X: -0.1 Y: -0.3 Z: 2.3 X: 600.3 Y: 3.1 Z: 834.3 20:31:15 (CET)
47 Collision with environment 67.4 X: 0.6 Y: 0.1 Z: 2.1 X: -435.2 Y: 3.3 Z: 8.0 20:32:10 (CET)
48 Collision with environment 19.9 X: 1.0 Y: -0.4 Z: -1.0 X: -606.8 Y: 3.3 Z: -562.0 20:43:08 (CET)
49 Collision with environment 13.4 X: 0.9 Y: -0.4 Z: 2.2 X: -370.9 Y: 3.1 Z: -820.6 20:43:13 (CET)
50 Collision with environment 6.5 X: 0.9 Y: -0.4 Z: -1.9 X: -370.4 Y: 3.2 Z: -820.7 20:43:18 (CET)
51 Collision with car 21.1 X: 0.9 Y: -0.3 Z: 2.2 X: -594.8 Y: 2.8 Z: -469.2 20:43:20 (CET)
52 Collision with car 16.3 X: -1.0 Y: -0.3 Z: -0.9 X: -594.7 Y: 2.8 Z: -469.4 20:43:23 (CET)
53 Collision with environment 14.2 X: 1.0 Y: -0.3 Z: 1.8 X: -504.9 Y: 3.6 Z: -754.6 20:44:25 (CET)
54 Collision with environment 9.8 X: 1.0 Y: -0.3 Z: 0.2 X: 151.2 Y: 2.7 Z: 728.3 20:44:38 (CET)
55 Collision with environment 57.6 X: -0.9 Y: -0.4 Z: 2.2 X: -649.2 Y: 2.9 Z: -414.3 20:50:23 (CET)
56 Collision with environment 11.9 X: 1.0 Y: -0.3 Z: -1.0 X: 156.2 Y: 2.8 Z: 733.5 20:52:30 (CET)
57 Collision with environment 91.6 X: -1.0 Y: -0.3 Z: 1.8 X: 194.5 Y: 3.5 Z: 188.3 20:54:20 (CET)
58 Collision with environment 10.9 X: -1.0 Y: -0.4 Z: 1.8 X: 35.3 Y: 3.4 Z: -326.9 20:55:43 (CET)
59 Collision with environment 3.9 X: -1.0 Y: -0.3 Z: -1.0 X: 33.8 Y: 3.4 Z: -317.5 20:57:04 (CET)
60 Collision with environment 38.3 X: -0.8 Y: -0.2 Z: -2.4 X: 51.0 Y: 3.8 Z: -375.4 20:57:40 (CET)
61 Collision with environment 17.6 X: 1.0 Y: -0.3 Z: 1.8 X: -525.2 Y: 3.8 Z: -742.9 21:00:09 (CET)
62 Collision with environment 106.9 X: -0.5 Y: -0.2 Z: 2.2 X: -451.5 Y: 3.6 Z: -767.5 21:00:14 (CET)
63 Collision with environment 94.1 X: -0.9 Y: -0.4 Z: 2.2 X: 515.9 Y: 2.9 Z: 341.0 21:00:18 (CET)
64 Collision with environment 35.9 X: -0.9 Y: -0.4 Z: 2.2 X: 565.7 Y: 3.4 Z: 351.6 21:00:23 (CET)
65 Collision with environment 0.1 X: -0.9 Y: -0.4 Z: -1.9 X: 573.8 Y: 3.5 Z: 359.0 21:00:28 (CET)
66 Collision with environment 15.3 X: -1.0 Y: -0.3 Z: 1.8 X: 31.7 Y: 3.4 Z: -304.7 21:06:50 (CET)
67 Collision with environment 33.2 X: -0.9 Y: -0.3 Z: -1.9 X: -644.0 Y: 3.0 Z: -416.0 21:17:30 (CET)
68 Collision with environment 9.2 X: 0.9 Y: -0.3 Z: -1.9 X: 152.7 Y: 2.8 Z: 729.9 23:26:59 (CET)
Car Env Rel
SRV Melbourne Layout GP (3xDRS) SRV Melbourne Layout GP (3xDRS) collisions

There were no penalties in this session.

1st Tim Quoos in STM Audi RS5 2022
Best: 01:45.931, Potential: 01:45.764
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 01:43:44.228 01:42:28.980 00:27.850 00:47.398 1 M
2 02:14.583
C
00:59.306 00:27.927 00:47.350 1 M
3 01:46.920 00:33.624 00:26.815 00:46.481 0 M
4 01:47.432
C
00:33.840 00:26.977 00:46.615 1 M
5 01:47.031
C
00:33.757 00:26.541 00:46.733 1 M
6 01:45.979 00:33.453 00:26.279 00:46.247 0 M
7 01:47.691
C
00:33.292 00:26.392 00:48.007 1 M
8 01:47.361 00:34.172 00:26.470 00:46.719 0 M
9 11:34.286 09:59.858 00:27.581 01:06.847 0 S
10 01:47.535 00:34.229 00:26.951 00:46.355 0 S
11 01:47.298 00:33.439 00:26.213
S
S
00:47.646 0 S
12 01:45.871
C
00:33.318 00:26.383 00:46.170 1 S
13 01:47.686 00:34.120 00:26.986 00:46.580 0 S
14 01:48.420 00:34.156 00:26.883 00:47.381 0 S
15 02:25.385 01:11.072 00:27.572 00:46.741 0 S
16 01:48.565 00:33.388 00:26.491 00:48.686 0 S
17 01:47.578
C
00:34.359 00:26.585 00:46.634 1 S
18 01:45.931
L
L
00:33.368
S
00:26.334 00:46.229 0 S
19 01:49.077
C
00:35.839 00:26.645 00:46.593 1 S
20 01:46.092 00:33.497 00:26.353 00:46.242 0 S
21 01:46.595 00:33.885 00:26.527 00:46.183
S
0 S
22 01:46.031 00:33.491 00:26.357 00:46.183
S
0 S
2nd Jean Ora in STM BMW M4 2022
Best: 01:46.053, Potential: 01:45.805
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:39.584 01:22.022 00:30.263 00:47.299 1 M
2 01:48.119 00:33.919 00:27.135 00:47.065 0 M
3 01:46.293 00:33.370 00:26.735 00:46.188 0 M
4 05:30.475 04:16.018 00:27.562 00:46.895 0 M
5 01:48.379 00:33.445 00:27.239 00:47.695 0 M
6 01:47.205 00:34.061 00:26.848 00:46.296 0 M
7 04:21.800 03:03.068 00:31.708 00:47.024 0 M
8 01:48.750
C
00:34.162 00:27.382 00:47.206 1 M
9 04:41.141 03:26.005 00:28.265 00:46.871 0 M
10 04:16.822 03:00.911 00:28.368 00:47.543 0 M
11 01:47.452 00:33.949 00:26.897 00:46.606 0 M
12 01:47.871
C
00:34.169 00:26.991 00:46.711 1 M
13 04:43.095 03:27.949 00:28.417 00:46.729 0 M
14 01:46.407
C
00:33.628 00:26.644 00:46.135 1 M
15 01:46.375 00:33.506 00:26.470
S
00:46.399 0 M
16 01:46.637
C
00:33.531 00:26.847 00:46.259 1 M
17 01:47.327
C
00:33.806 00:26.974 00:46.547 1 M
18 01:46.995
C
00:33.838 00:26.802 00:46.355 1 M
19 01:46.429 00:33.588 00:26.622 00:46.219 0 M
20 01:46.611 00:33.468 00:26.523 00:46.620 0 M
21 03:12.875 01:56.956 00:28.688 00:47.231 1 M
22 01:46.518 00:33.681 00:26.595 00:46.242 0 M
23 01:49.003
C
00:34.964 00:27.513 00:46.526 1 M
24 01:46.331 00:33.602 00:26.501 00:46.228 0 M
25 02:57.699 01:43.214 00:27.797 00:46.688 0 M
26 02:55.927 01:41.407 00:27.742 00:46.778 0 M
27 01:46.053
L
00:33.283
S
S
00:26.555 00:46.215 0 M
28 01:45.605
C
00:33.317 00:26.402 00:45.886 1 M
29 03:56.496 02:42.038 00:27.685 00:46.773 0 M
30 01:45.952
C
00:33.461 00:26.375 00:46.116 1 M
31 01:46.151 00:33.359 00:26.740 00:46.052
S
S
0 M
32 02:32.804 01:19.000 00:27.522 00:46.282 0 M
33 04:17.173 02:58.958 00:30.619 00:47.596 0 M
34 01:45.954
C
00:33.454 00:26.559 00:45.941 1 M
3rd Michael Weimer in STM Audi RS5 2022
Best: 01:47.769, Potential: 01:47.769
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:19.071
C
01:02.157 00:28.089 00:48.825 1 M
2 01:49.120
C
00:34.231 00:26.937 00:47.952 1 M
3 01:48.829
C
00:34.143 00:27.085 00:47.601 1 M
4 01:48.505 00:34.070 00:27.351 00:47.084 0 M
5 06:56.183 05:39.647 00:28.067 00:48.469 0 M
6 01:51.715 00:34.725 00:27.742 00:49.248 0 M
7 01:49.585
C
00:34.548 00:27.710 00:47.327 1 M
8 01:49.171 00:34.462 00:27.194 00:47.515 0 M
9 01:48.442
C
00:34.332 00:26.990 00:47.120 1 M
10 01:48.496 00:34.242 00:27.044 00:47.210 0 M
11 03:28.860 02:13.646 00:27.491 00:47.723 0 M
12 01:48.616
C
00:34.344 00:27.247 00:47.025 1 M
13 02:49.907 01:33.777 00:27.926 00:48.204 1 M
14 01:48.498 00:34.157 00:26.960 00:47.381 0 M
15 03:12.528 01:58.016 00:27.370 00:47.142 0 M
16 01:48.126
C
00:34.105 00:26.942 00:47.079 1 M
17 09:01.574 07:46.073 00:27.927 00:47.574 0 M
18 01:48.218 00:34.050 00:27.009 00:47.159 0 M
19 01:47.769
L
00:34.022
S
00:26.924
S
00:46.823
S
0 M
20 06:23.822 05:08.987 00:27.351 00:47.484 0 M
21 03:17.363 02:02.502 00:27.544 00:47.317 0 M
22 01:47.615
C
00:34.283 00:26.641 00:46.691 1 M
23 01:47.602
C
00:33.842 00:26.645 00:47.115 1 M
4th Philipp Krauslach in STM Mercedes C63 2022
Best: 01:47.841, Potential: 01:47.554
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:50.457 01:32.431 00:28.957 00:49.069 1 M
2 01:49.241
C
00:34.173 00:27.288 00:47.780 1 M
3 03:40.831 02:24.237 00:27.738 00:48.856 0 M
4 01:49.639
C
00:34.669 00:27.473 00:47.497 1 M
5 01:49.355
C
00:35.060 00:26.848 00:47.447 1 M
6 01:49.227 00:34.284 00:27.432 00:47.511 0 M
7 01:49.030 00:34.465 00:27.207 00:47.358 0 M
8 01:48.851 00:34.183 00:27.337 00:47.331 0 M
9 04:16.088 03:00.255 00:27.899 00:47.934 0 M
10 01:48.371 00:34.292 00:27.028 00:47.051 0 M
11 01:48.425 00:34.257 00:26.954 00:47.214 0 M
12 04:59.604 03:40.323 00:30.694 00:48.587 0 M
13 01:50.236 00:34.298 00:28.427 00:47.511 0 M
14 01:48.676 00:34.669 00:26.955 00:47.052 0 M
15 01:48.537 00:34.273 00:27.157 00:47.107 0 M
16 01:49.512 00:34.829 00:27.342 00:47.341 0 M
17 03:31.270 02:12.772 00:30.704 00:47.794 0 M
18 01:50.129 00:34.565 00:26.978 00:48.586 0 M
19 01:48.867 00:34.185 00:27.206 00:47.476 0 M
20 01:48.450 00:34.312 00:26.860
S
00:47.278 0 M
21 01:48.427
C
00:34.452 00:27.071 00:46.904 1 M
22 01:48.690 00:34.205 00:27.005 00:47.480 0 M
23 06:23.382 05:06.962 00:28.288 00:48.132 0 M
24 01:48.674
C
00:34.739 00:26.766 00:47.169 1 M
25 01:48.983 00:34.643 00:26.983 00:47.357 0 M
26 01:47.841
L
00:34.104 00:26.977 00:46.760
S
0 M
27 01:48.751
C
00:34.434 00:27.323 00:46.994 1 M
28 01:48.519
C
00:34.215 00:27.278 00:47.026 1 M
29 01:48.566
C
00:34.222 00:27.230 00:47.114 1 M
30 01:48.920 00:34.054 00:26.932 00:47.934 0 M
31 01:52.147 00:34.769 00:27.657 00:49.721 0 M
32 01:49.743 00:35.042 00:27.486 00:47.215 0 M
33 01:48.530 00:33.934
S
00:26.932 00:47.664 0 M
34 01:49.875 00:34.243 00:27.230 00:48.402 0 M
35 02:39.857 01:24.159 00:27.809 00:47.889 0 M
36 01:49.091 00:34.670 00:27.415 00:47.006 0 M
5th Eileen Weimer in STM Audi RS5 2022
Best: 01:48.090, Potential: 01:47.830
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:13.675 00:56.765 00:27.882 00:49.028 3 M
2 01:49.423 00:34.341 00:27.697 00:47.385 0 M
3 01:48.627 00:34.651 00:26.752 00:47.224 0 M
4 01:48.882 00:35.108 00:27.059 00:46.715 1 M
5 01:48.090
L
00:34.042
S
00:26.878 00:47.170
S
0 M
6 01:49.336 00:34.159 00:27.562 00:47.615 1 M
7 01:48.631 00:34.232 00:26.618
S
00:47.781 0 M
6th Yvan Thilmany in STM Audi RS5 2022
Best: 01:48.499, Potential: 01:48.147
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:33.802 04:16.776 00:28.372 00:48.654 1 M
2 01:52.406 00:35.956 00:27.662 00:48.788 0 M
3 01:50.126
C
00:35.134 00:27.112 00:47.880 1 M
4 01:49.555 00:34.684 00:27.144 00:47.727 0 M
5 03:10.599 01:54.350 00:27.685 00:48.564 0 M
6 01:50.790 00:34.641 00:27.819 00:48.330 0 M
7 05:11.435 03:54.886 00:27.842 00:48.707 0 M
8 01:49.024
C
00:34.725 00:26.937 00:47.362 1 M
9 09:48.624 08:31.129 00:27.585 00:49.910 0 M
10 01:50.520 00:34.839 00:27.413 00:48.268 0 M
11 04:19.973 02:15.503 01:15.825 00:48.645 0 M
12 01:49.577 00:35.012 00:27.000 00:47.565 0 M
13 03:56.261 02:39.959 00:27.676 00:48.626 0 M
14 03:44.004 02:28.431 00:27.630 00:47.943 0 M
15 04:20.702 03:04.733 00:28.287 00:47.682 0 M
16 01:50.504 00:34.428 00:26.828 00:49.248 0 M
17 05:07.247 03:51.440 00:27.752 00:48.055 1 M
18 01:54.663
C
00:37.929 00:27.558 00:49.176 1 M
19 02:45.051 01:29.406 00:27.553 00:48.092 0 M
20 04:19.740 03:00.413 00:31.348 00:47.979 0 M
21 01:50.178
C
00:34.573 00:27.481 00:48.124 1 M
22 03:32.588 02:15.800 00:28.778 00:48.010 0 M
23 03:24.276 02:06.803 00:27.500 00:49.973 0 M
24 04:49.674 03:34.379 00:27.928 00:47.367 0 M
25 01:49.637 00:34.838 00:27.014 00:47.785 0 M
26 04:00.573 02:45.197 00:27.693 00:47.683 0 M
27 01:49.232 00:34.352 00:27.284 00:47.596 0 M
28 04:45.716 03:30.166 00:27.994 00:47.556 0 M
29 01:54.177 00:34.635 00:27.062 00:52.480 0 M
30 01:51.743 00:34.487 00:28.315 00:48.941 0 M
31 05:56.290 04:40.690 00:27.909 00:47.691 0 M
32 03:26.358 02:10.434 00:27.274 00:48.650 0 M
33 02:03.885 00:34.200 00:41.732 00:47.953 0 M
34 01:48.846 00:34.254 00:26.901 00:47.691 0 M
35 01:49.746 00:34.263 00:27.296 00:48.187 0 M
36 01:48.499
L
00:34.361 00:26.820
S
00:47.318 0 M
37 03:08.133 01:52.497 00:27.441 00:48.195 0 M
38 01:48.521 00:34.127 00:27.001 00:47.393 0 M
39 02:41.067 01:25.241 00:27.459 00:48.367 0 M
40 01:48.575 00:34.114
S
00:27.045 00:47.416 0 M
41 02:46.205 01:31.703 00:27.289 00:47.213
S
0 M
42 02:53.337 01:36.152 00:27.828 00:49.357 1 M
43 01:49.259 00:34.748 00:27.055 00:47.456 0 M
44 01:49.263
C
00:34.657 00:26.825 00:47.781 1 M
7th Thomas Kneissler in STM Audi RS5 2022
Best: 01:48.813, Potential: 01:48.577
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:30.990 01:10.678 00:28.984 00:51.328 1 S
2 01:49.980
C
00:34.829 00:27.342 00:47.809 1 S
3 01:49.210
C
00:34.451 00:26.929 00:47.830 1 S
4 01:49.126
C
00:34.412 00:27.059 00:47.655 1 S
5 02:12.981 00:34.489 00:47.628 00:50.864 0 S
6 01:51.500 00:34.600 00:27.090 00:49.810 0 S
7 02:10.908 00:48.855 00:32.755 00:49.298 0 S
8 01:50.555 00:34.856 00:27.491 00:48.208 0 S
9 01:52.390 00:36.668 00:27.680 00:48.042 0 S
10 02:13.390 00:34.858 00:27.661 01:10.871 1 S
11 02:41.920 01:20.605 00:30.344 00:50.971 0 S
12 01:50.102 00:34.962 00:27.202 00:47.938 0 S
13 01:49.272 00:34.743 00:27.117 00:47.412 0 S
14 01:51.455 00:34.668 00:28.917 00:47.870 0 S
15 02:10.025 00:34.680 00:46.853 00:48.492 0 S
16 01:48.983
C
00:34.563 00:27.333 00:47.087 1 S
17 02:34.330 00:34.419 00:27.080
S
01:32.831 0 S
18 01:50.278 00:35.484 00:27.270 00:47.524 0 S
19 01:55.592 00:37.675 00:29.052 00:48.865 0 S
20 02:11.245 00:35.049 00:27.386 01:08.810 1 S
21 01:59.899 00:43.224 00:29.024 00:47.651 1 S
22 01:49.279 00:34.777 00:27.166 00:47.336 0 S
23 01:50.373 00:34.804 00:27.243 00:48.326 0 S
24 01:49.286 00:34.722 00:27.315 00:47.249 0 S
25 01:48.813
L
00:34.364
S
00:27.271 00:47.178 0 S
26 01:49.084 00:34.681 00:27.270 00:47.133
S
0 S
27 01:49.580 00:34.822 00:27.104 00:47.654 0 S
28 01:50.563 00:34.455 00:27.989 00:48.119 0 S
29 01:49.589 00:34.718 00:27.198 00:47.673 0 S
30 02:11.321 00:35.013 00:27.512 01:08.796 1 S
8th Klemens Kowall in STM Mercedes C63 2022
Best: 01:51.994, Potential: 01:51.817
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:48.948 02:27.259 00:29.358 00:52.331 1 S
2 01:56.154 00:38.259 00:28.772 00:49.123 0 S
3 01:53.229 00:36.071 00:28.305 00:48.853 0 S
4 01:52.833 00:35.334 00:28.305 00:49.194 0 S
5 05:22.172 03:58.454 00:29.390 00:54.328 0 S
6 02:59.953 01:38.408 00:29.417 00:52.128 0 M
7 04:22.675 03:03.250 00:29.651 00:49.774 0 M
8 01:54.521 00:36.033 00:28.043
S
00:50.445 0 M
9 01:51.994
L
00:35.305
S
00:28.220 00:48.469
S
0 M
10 04:25.361 03:07.354 00:28.472 00:49.535 0 M
11 01:53.254 00:35.444 00:28.166 00:49.644 0 M
9th Herbert Aeckerle in STM Mercedes C63 2022
Best: 01:56.224, Potential: 01:54.771
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:10.645 03:40.010 00:36.424 00:54.211 1 S
2 02:00.479 00:37.743 00:30.307 00:52.429 0 S
3 01:58.366 00:37.609 00:29.174 00:51.583 0 S
4 01:59.508 00:37.189 00:30.353 00:51.966 0 S
5 02:18.424 00:36.364 00:29.624 01:12.436 1 S
6 01:58.427 00:37.810 00:29.637 00:50.980 0 S
7 01:56.256 00:36.484 00:29.178 00:50.594 0 S
8 02:01.005 00:36.441 00:30.419 00:54.145 0 S
9 02:02.589 00:40.760 00:29.899 00:51.930 0 S
10 02:26.952 00:36.337 00:30.024 01:20.591 1 S
11 02:55.788 00:58.535 00:35.694 01:21.559 1 S
12 02:15.747 00:50.944 00:32.836 00:51.967 1 S
13 02:00.608 00:37.287 00:29.389 00:53.932 0 S
14 02:00.540 00:38.181 00:30.492 00:51.867 0 S
15 02:38.534 00:40.909 00:37.220 01:20.405 1 S
16 05:04.473 03:36.097 00:32.175 00:56.201 0 S
17 01:57.553 00:37.917 00:28.997 00:50.639 0 S
18 02:04.543 00:36.712 00:29.111 00:58.720 0 S
19 01:56.547 00:37.108 00:29.020 00:50.419
S
0 S
20 02:10.698 00:36.431 00:30.772 01:03.495 0 S
21 05:26.169 03:56.412 00:35.568 00:54.189 0 M
22 01:59.709 00:37.975 00:29.596 00:52.138 0 M
23 01:59.452 00:36.971 00:29.642 00:52.839 0 M
24 17:26.656 16:01.448 00:31.608 00:53.600 0 M
25 01:59.400
C
00:37.828 00:29.668 00:51.904 1 M
26 02:00.613 00:38.636 00:30.132 00:51.845 0 M
27 01:56.880 00:36.725 00:28.715 00:51.440 0 M
28 02:02.872 00:36.972 00:29.290 00:56.610 0 M
29 02:02.536 00:38.674 00:29.668 00:54.194 0 M
30 02:00.214
C
00:39.264 00:30.249 00:50.701 1 M
31 03:02.606 01:33.493 00:31.972 00:57.141 1 M
32 02:01.359 00:39.504 00:30.122 00:51.733 0 M
33 01:57.881 00:37.512 00:29.457 00:50.912 0 M
34 02:02.528 00:41.249 00:29.323 00:51.956 0 M
35 01:56.224
L
00:35.840
S
00:28.512
S
00:51.872 0 M
36 02:00.678 00:39.705 00:29.551 00:51.422 0 M
37 02:39.801 01:16.096 00:31.019 00:52.686 1 M
38 02:02.355 00:38.983 00:30.514 00:52.858 0 M
39 01:59.947 00:37.917 00:29.294 00:52.736 0 M
40 02:01.793 00:37.796 00:28.954 00:55.043 0 M
41 02:03.240 00:38.973 00:31.733 00:52.534 0 M
42 02:02.755 00:37.966 00:29.277 00:55.512 0 M
43 02:02.783 00:38.089 00:29.844 00:54.850 1 M
44 02:00.247 00:37.699 00:29.704 00:52.844 0 M
45 01:59.895 00:37.499 00:29.606 00:52.790 0 M