SRV Melbourne Layout GP (3xDRS)

16 Jan 22 17:37 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 HabAuchKeins STM BMW M4 2022 01:46.033
Tyre: S
02:21.665 51 laps / 12 cuts
2 Stiftung Plankentest I STM Audi RS5 2022 01:46.465
Tyre: M
02:37.324 18 laps / 9 cuts
3 SRV Jägermeister eSport II STM Audi RS5 2022 01:46.479
Tyre: M
01:51.823 10 laps / 2 cuts
4 HabAuchKeins STM BMW M4 2022 01:46.825
Tyre: S
03:11.793 8 laps / 2 cuts
5 Stiftung Plankentest I STM Audi RS5 2022 01:47.692
Tyre: M
02:10.338 73 laps / 23 cuts
6 SRV Jägermeister eSport II STM Audi RS5 2022 01:48.373
Tyre: M
02:44.355 17 laps / 9 cuts
7 SRV Jägermeister eSport I STM Audi RS5 2022 01:49.759
Tyre: M
01:57.376 19 laps / 7 cuts
8 CRM Motorsport STM Mercedes C63 2022 01:50.677
Tyre: M
03:27.901 11 laps / 4 cuts
9 STM BMW M4 2022 01:53.173
Tyre: S
03:57.330 7 laps / 2 cuts
10 Horizont Personalmanagement Racing STM Audi RS5 2022 01:53.375
Tyre: M
02:01.286 15 laps / 5 cuts
11 CRM Motorsport STM BMW M4 2022 01:53.777
Tyre: M
02:08.287 12 laps / 4 cuts
12 Bayern Racing STM Mercedes C63 2022 02:01.374
Tyre: M
02:17.919 48 laps / 8 cuts
13 Bayern Racing STM Mercedes C63 2022 277:46:39.999
Tyre: ?
00:00.000 2 laps / 2 cuts
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 73.3 X: -0.8 Y: -0.4 Z: 2.3 X: 629.2 Y: 3.1 Z: 820.5 13:31:03 (CET)
2 Collision with environment 15.3 X: -1.0 Y: -0.4 Z: 1.8 X: 602.0 Y: 3.0 Z: 833.5 13:31:08 (CET)
3 Collision with environment 13.7 X: 0.9 Y: -0.4 Z: 2.2 X: -606.9 Y: 2.9 Z: -510.4 13:39:03 (CET)
4 Collision with environment 52.8 X: -0.9 Y: -0.3 Z: 2.2 X: -159.7 Y: 3.2 Z: -819.2 13:39:37 (CET)
5 Collision with environment 34.6 X: -0.9 Y: -0.4 Z: 2.2 X: 52.9 Y: 3.6 Z: -378.8 13:41:48 (CET)
6 Collision with environment 83.2 X: 0.8 Y: -0.3 Z: 2.1 X: -605.2 Y: 3.0 Z: -516.3 13:42:37 (CET)
7 Collision with environment 14.6 X: -0.9 Y: -0.4 Z: -1.9 X: 40.0 Y: 3.3 Z: -349.0 13:47:43 (CET)
8 Collision with environment 16.8 X: 0.7 Y: -0.4 Z: 2.3 X: 312.1 Y: 2.9 Z: 733.4 13:48:28 (CET)
9 Collision with car 30.1 X: -1.0 Y: -0.4 Z: -1.2 X: -229.1 Y: 2.8 Z: -873.0 13:51:29 (CET)
10 Collision with car 26.4 X: 0.9 Y: -0.3 Z: 2.2 X: -229.1 Y: 2.8 Z: -873.0 13:51:30 (CET)
11 Collision with environment 11.2 X: 0.9 Y: -0.4 Z: 2.2 X: -200.9 Y: 2.8 Z: -841.6 13:51:34 (CET)
12 Collision with environment 8.1 X: 0.9 Y: -0.3 Z: 2.2 X: -214.7 Y: 2.8 Z: -852.0 13:51:35 (CET)
13 Collision with environment 0.3 X: 0.9 Y: -0.4 Z: 2.2 X: -201.2 Y: 2.8 Z: -841.8 13:51:39 (CET)
14 Collision with environment 5.2 X: 0.9 Y: -0.4 Z: 2.2 X: -201.2 Y: 2.8 Z: -841.8 13:52:04 (CET)
15 Collision with environment 18.1 X: -1.0 Y: -0.4 Z: 1.8 X: 36.1 Y: 3.4 Z: -331.4 13:52:13 (CET)
16 Collision with environment 0.0 X: 0.9 Y: -0.4 Z: 2.2 X: -201.3 Y: 2.8 Z: -841.8 13:52:14 (CET)
17 Collision with environment 5.2 X: -0.7 Y: -0.4 Z: 2.3 X: -197.5 Y: 2.8 Z: -839.4 13:52:39 (CET)
18 Collision with environment 59.1 X: -0.7 Y: -0.4 Z: 2.3 X: 638.1 Y: 3.2 Z: 816.2 13:52:48 (CET)
19 Collision with environment 6.8 X: -0.9 Y: -0.4 Z: 2.2 X: -192.8 Y: 2.9 Z: -836.4 13:52:49 (CET)
20 Collision with environment 0.1 X: -0.9 Y: -0.4 Z: 2.2 X: -192.2 Y: 2.9 Z: -836.0 13:52:54 (CET)
21 Collision with environment 8.0 X: 1.0 Y: -0.3 Z: -1.0 X: 598.1 Y: 3.3 Z: 851.2 13:54:45 (CET)
22 Collision with environment 34.0 X: -0.7 Y: -0.3 Z: 2.3 X: 607.2 Y: 3.1 Z: 831.1 14:14:00 (CET)
23 Collision with environment 5.7 X: -0.9 Y: -0.3 Z: 2.2 X: 58.6 Y: 3.8 Z: -387.7 14:23:00 (CET)
24 Collision with environment 23.9 X: -1.0 Y: -0.3 Z: 1.8 X: 35.6 Y: 3.4 Z: -328.4 14:31:56 (CET)
25 Collision with environment 2.9 X: -1.0 Y: -0.4 Z: 1.8 X: 217.2 Y: 3.4 Z: 207.3 14:48:13 (CET)
26 Collision with environment 27.6 X: 0.9 Y: -0.4 Z: 2.2 X: 56.1 Y: 3.7 Z: -383.9 15:04:33 (CET)
27 Collision with environment 15.3 X: -0.9 Y: -0.3 Z: 2.2 X: 37.0 Y: 3.5 Z: -335.5 15:19:59 (CET)
28 Collision with environment 14.8 X: -1.0 Y: -0.3 Z: 0.2 X: -101.7 Y: 3.2 Z: -812.9 15:24:09 (CET)
29 Collision with environment 19.6 X: -0.9 Y: -0.3 Z: 2.2 X: 38.7 Y: 3.4 Z: -342.8 15:24:24 (CET)
30 Collision with environment 39.9 X: -0.8 Y: -0.4 Z: 2.1 X: -202.6 Y: 2.1 Z: 358.0 15:51:13 (CET)
31 Collision with environment 6.9 X: -0.9 Y: -0.4 Z: 2.2 X: -214.5 Y: 2.1 Z: 348.2 15:51:18 (CET)
32 Collision with environment 47.5 X: -0.9 Y: -0.3 Z: 2.2 X: 51.7 Y: 2.8 Z: -308.6 15:56:00 (CET)
33 Collision with environment 26.9 X: -0.9 Y: -0.4 Z: 2.2 X: -348.6 Y: 2.7 Z: 123.5 16:04:43 (CET)
34 Collision with environment 52.9 X: -0.9 Y: -0.3 Z: 2.2 X: 649.0 Y: 3.2 Z: 811.3 16:09:49 (CET)
35 Collision with environment 43.5 X: 0.9 Y: -0.4 Z: 2.2 X: -390.8 Y: 2.1 Z: 64.8 16:13:09 (CET)
36 Collision with environment 12.1 X: 0.9 Y: -0.3 Z: 2.2 X: 160.5 Y: 2.8 Z: 737.9 16:17:59 (CET)
37 Collision with environment 99.3 X: -0.9 Y: -0.4 Z: 2.2 X: 28.5 Y: 3.2 Z: -285.1 16:19:19 (CET)
38 Collision with environment 18.8 X: 1.0 Y: -0.4 Z: 1.7 X: -569.4 Y: 4.1 Z: -708.8 16:19:57 (CET)
39 Collision with car 17.4 X: -0.9 Y: -0.3 Z: 2.2 X: -730.1 Y: 2.9 Z: -383.2 16:22:29 (CET)
40 Collision with car 3.8 X: 1.0 Y: -0.3 Z: 0.1 X: -730.1 Y: 2.9 Z: -383.7 16:22:34 (CET)
41 Collision with environment 43.8 X: -0.9 Y: -0.4 Z: 1.8 X: 34.3 Y: 3.4 Z: -320.6 16:23:03 (CET)
42 Collision with environment 25.8 X: 0.9 Y: -0.4 Z: 2.2 X: -157.4 Y: 2.6 Z: -855.0 16:31:12 (CET)
43 Collision with environment 10.5 X: -0.8 Y: -0.0 Z: -2.4 X: -40.1 Y: 3.4 Z: 498.7 16:37:44 (CET)
44 Collision with environment 69.7 X: 0.7 Y: -0.4 Z: 2.3 X: 300.2 Y: 3.0 Z: 743.0 16:41:24 (CET)
45 Collision with environment 96.7 X: 0.6 Y: 0.1 Z: 2.2 X: -606.4 Y: 3.7 Z: -554.6 16:44:04 (CET)
46 Collision with environment 45.1 X: -0.9 Y: -0.4 Z: 2.2 X: 731.7 Y: 3.9 Z: 849.2 16:52:58 (CET)
47 Collision with environment 52.9 X: -0.9 Y: -0.4 Z: 2.2 X: 310.8 Y: 2.9 Z: 734.2 16:54:49 (CET)
48 Collision with environment 57.9 X: -0.9 Y: 0.2 Z: 1.6 X: -417.6 Y: 3.6 Z: -0.9 16:56:24 (CET)
49 Collision with environment 16.8 X: -0.9 Y: -0.3 Z: -1.9 X: 617.5 Y: 3.1 Z: 826.0 16:59:13 (CET)
50 Collision with environment 22.3 X: 0.7 Y: -0.4 Z: 2.3 X: 255.8 Y: 1.9 Z: 741.3 16:59:24 (CET)
51 Collision with environment 16.6 X: 0.9 Y: -0.4 Z: 2.0 X: -537.9 Y: 4.0 Z: -735.0 17:00:07 (CET)
52 Collision with environment 24.8 X: -0.7 Y: -0.3 Z: 2.3 X: -675.2 Y: 2.8 Z: -406.5 17:01:53 (CET)
53 Collision with environment 66.0 X: 0.9 Y: -0.4 Z: 2.2 X: -439.7 Y: 2.8 Z: 3.8 17:07:24 (CET)
54 Collision with environment 11.2 X: 1.0 Y: -0.3 Z: -1.0 X: 156.5 Y: 2.7 Z: 733.8 17:16:20 (CET)
55 Collision with environment 22.0 X: -0.9 Y: -0.3 Z: 2.2 X: -675.5 Y: 2.8 Z: -406.4 17:16:50 (CET)
56 Collision with environment 47.5 X: -0.9 Y: -0.3 Z: 2.2 X: 66.0 Y: 2.7 Z: -325.4 17:19:29 (CET)
57 Collision with environment 2.9 X: -0.9 Y: -0.3 Z: 2.2 X: 69.0 Y: 2.8 Z: -327.3 17:19:34 (CET)
58 Collision with environment 7.9 X: 0.9 Y: -0.4 Z: 2.2 X: -33.5 Y: 3.0 Z: 505.1 17:19:57 (CET)
59 Collision with environment 93.9 X: -0.7 Y: -0.3 Z: 2.3 X: -154.3 Y: 3.2 Z: -818.0 17:20:19 (CET)
60 Collision with environment 5.3 X: -0.9 Y: -0.3 Z: 2.2 X: -4.4 Y: 3.1 Z: 533.1 17:21:54 (CET)
61 Collision with environment 59.9 X: -0.9 Y: -0.3 Z: 2.2 X: 594.9 Y: 3.1 Z: 836.7 17:26:27 (CET)
62 Collision with environment 49.9 X: -0.9 Y: -0.4 Z: 2.2 X: -642.3 Y: 2.9 Z: -416.6 17:27:49 (CET)
63 Collision with environment 28.0 X: -0.7 Y: -0.3 Z: 2.3 X: 322.2 Y: 2.7 Z: 726.3 17:29:44 (CET)
64 Collision with environment 31.4 X: -0.7 Y: -0.3 Z: 2.3 X: -344.1 Y: 2.8 Z: 148.1 17:29:52 (CET)
65 Collision with environment 26.6 X: -0.7 Y: -0.3 Z: 2.3 X: -29.8 Y: 3.1 Z: 508.6 17:30:24 (CET)
66 Collision with environment 18.9 X: 1.0 Y: -0.3 Z: 1.8 X: 86.3 Y: 3.3 Z: -676.4 17:31:27 (CET)
67 Collision with environment 88.6 X: 0.6 Y: 0.1 Z: 2.1 X: -63.9 Y: 3.9 Z: -822.6 17:34:17 (CET)
68 Collision with environment 15.3 X: 1.0 Y: -0.2 Z: -1.2 X: 152.4 Y: 2.9 Z: 729.6 17:34:39 (CET)
69 Collision with environment 42.1 X: -0.9 Y: -0.3 Z: 2.2 X: -348.8 Y: 2.8 Z: 121.5 17:36:49 (CET)
70 Collision with environment 64.1 X: -0.9 Y: -0.3 Z: 2.2 X: -427.2 Y: 3.1 Z: -10.1 17:37:02 (CET)
Car Env Rel
SRV Melbourne Layout GP (3xDRS) SRV Melbourne Layout GP (3xDRS) collisions

There were no penalties in this session.

1st Jean Ora in STM BMW M4 2022
Best: 01:46.033, Potential: 01:45.730
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:28.682 03:13.424 00:27.887 00:47.371 1 S
2 05:00.598 03:43.684 00:28.957 00:47.957 0 S
3 01:49.203
C
00:34.440 00:26.914 00:47.849 1 S
4 01:46.726 00:33.596 00:26.559 00:46.571 0 S
5 01:47.479
C
00:33.472 00:27.148 00:46.859 1 S
6 01:46.763 00:33.544 00:26.599 00:46.620 0 S
7 01:46.792 00:33.473 00:26.681 00:46.638 0 S
8 04:02.448 02:45.857 00:29.876 00:46.715 0 S
9 01:47.045 00:33.664 00:26.896 00:46.485 0 S
10 01:46.409 00:33.312
S
S
00:26.648 00:46.449 0 S
11 09:31.997 08:17.703 00:27.549 00:46.745 0 M
12 01:47.890
C
00:33.564 00:27.193 00:47.133 1 M
13 01:48.914 00:34.845 00:27.413 00:46.656 0 M
14 01:49.659
C
00:34.851 00:26.973 00:47.835 1 M
15 01:47.091 00:33.700 00:26.888 00:46.503 0 M
16 01:47.513 00:33.831 00:26.860 00:46.822 0 M
17 03:42.320 02:25.821 00:28.948 00:47.551 0 M
18 01:46.994
C
00:33.807 00:26.568 00:46.619 1 M
19 01:47.161 00:33.662 00:26.852 00:46.647 0 M
20 11:55.992 10:40.338 00:28.579 00:47.075 0 S
21 01:47.172 00:34.056 00:26.684 00:46.432 0 S
22 01:47.388
C
00:33.641 00:26.618 00:47.129 1 S
23 01:46.605 00:33.722 00:26.568 00:46.315 0 S
24 01:46.739
C
00:33.470 00:26.956 00:46.313 1 S
25 05:01.260 03:45.759 00:28.408 00:47.093 0 S
26 01:46.762 00:33.380 00:26.605 00:46.777 0 S
27 01:46.831
C
00:33.656 00:26.928 00:46.247 1 S
28 01:46.975 00:33.495 00:26.757 00:46.723 0 S
29 01:46.242 00:33.431 00:26.559 00:46.252 0 S
30 15:57.478 14:41.010 00:29.628 00:46.840 0 S
31 01:46.709
C
00:33.535 00:26.375 00:46.799 1 S
32 03:48.549 02:33.228 00:28.399 00:46.922 0 S
33 01:47.397 00:34.168 00:26.451
S
00:46.778 0 S
34 01:47.090 00:34.317 00:26.549 00:46.224 0 S
35 01:47.188 00:33.725 00:26.766 00:46.697 0 S
36 14:04.754 12:43.273 00:33.412 00:48.069 0 S
37 01:54.649 00:34.486 00:26.478 00:53.685 0 S
38 02:30.972 01:15.020 00:29.287 00:46.665 0 S
39 01:47.676
C
00:34.181 00:26.721 00:46.774 1 S
40 01:48.198 00:33.579 00:27.886 00:46.733 0 S
41 01:46.415 00:33.344 00:26.604 00:46.467 0 S
42 01:46.932 00:33.541 00:26.582 00:46.809 0 S
43 04:30.162 03:14.161 00:28.643 00:47.358 0 S
44 04:10.722 02:51.067 00:30.474 00:49.181 0 S
45 01:46.033
L
L
00:33.578 00:26.488 00:45.967
S
S
0 S
46 01:48.505 00:34.502 00:27.765 00:46.238 0 S
47 01:46.494 00:33.382 00:26.577 00:46.535 0 S
48 03:21.537 02:06.886 00:27.742 00:46.909 0 S
49 01:46.442 00:33.565 00:26.514 00:46.363 0 S
50 01:46.221 00:33.374 00:26.541 00:46.306 0 S
51 01:46.033
C
00:33.614 00:26.245 00:46.174 1 S
2nd Tim Quoos in STM Audi RS5 2022
Best: 01:46.465, Potential: 01:46.465
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:13.282
C
00:58.235 00:27.478 00:47.569 1 M
2 01:47.447 00:33.778 00:26.780 00:46.889 0 M
3 01:54.564
C
00:34.369 00:26.528 00:53.667 1 M
4 01:47.387
C
00:33.794 00:26.307 00:47.286 1 M
5 03:28.973 02:14.940 00:27.269 00:46.764 0 M
6 01:46.842 00:33.762 00:26.549 00:46.531 0 M
7 03:00.134 01:44.548 00:28.724 00:46.862 0 M
8 01:52.368
C
00:34.842 00:28.732 00:48.794 1 M
9 01:46.888
C
00:33.628 00:26.375 00:46.885 1 M
10 01:46.953 00:33.814 00:26.501 00:46.638 0 M
11 01:46.465
L
00:33.524
S
00:26.425
S
00:46.516
S
0 M
12 01:48.545
C
00:34.799 00:27.198 00:46.548 1 M
13 01:49.028
C
00:34.725 00:27.382 00:46.921 1 M
14 01:50.937
C
00:36.345 00:27.040 00:47.552 1 M
15 03:50.912 02:36.766 00:26.995 00:47.151 0 M
16 01:51.260
C
00:33.784 00:26.762 00:50.714 1 M
17 02:55.125 01:41.226 00:27.022 00:46.877 0 M
18 03:13.072 01:59.110 00:27.117 00:46.845 0 M
3rd Stefan Herler in STM Audi RS5 2022
Best: 01:46.479, Potential: 01:46.046
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:20.495 01:06.192 00:27.441 00:46.862 1 M
2 01:46.990 00:33.860 00:26.740 00:46.390 0 M
3 01:46.669 00:34.075 00:26.568 00:46.026
S
0 M
4 01:46.593 00:33.684 00:26.577 00:46.332 0 M
5 01:46.479
L
00:33.655
S
00:26.365
S
S
00:46.459 0 M
6 01:46.694
C
00:33.966 00:26.464 00:46.264 1 M
7 02:26.154 01:11.953 00:27.526 00:46.675 0 M
8 01:46.938 00:33.849 00:26.477 00:46.612 0 M
9 01:46.947 00:34.231 00:26.411 00:46.305 0 M
10 01:47.819 00:34.276 00:26.685 00:46.858 0 M
4th Jens Bauer in STM BMW M4 2022
Best: 01:46.825, Potential: 01:46.820
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:24.234 02:09.768 00:27.576 00:46.890 1 S
2 01:46.825
L
00:33.875
S
00:26.609 00:46.341
S
0 S
3 05:16.463 04:02.114 00:27.599 00:46.750 0 S
4 01:47.301 00:34.086 00:26.604
S
00:46.611 0 S
5 09:14.211 07:59.403 00:27.427 00:47.381 0 M
6 01:52.563
C
00:33.853 00:28.363 00:50.347 1 M
7 15:35.923 14:17.646 00:30.158 00:48.119 0 S
8 03:56.584 02:41.466 00:27.576 00:47.542 0 S
5th Christian Gerspacher in STM Audi RS5 2022
Best: 01:47.692, Potential: 01:47.557
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:52.993 02:25.990 00:32.594 00:54.409 1 M
2 01:56.857 00:37.832 00:28.386 00:50.639 0 M
3 04:07.645 02:48.702 00:28.201 00:50.742 0 M
4 01:52.776 00:35.987 00:27.720 00:49.069 0 M
5 04:15.631 02:57.281 00:28.504 00:49.846 0 M
6 01:52.631 00:35.799 00:27.719 00:49.113 0 M
7 02:51.430 01:31.883 00:29.575 00:49.972 0 M
8 01:52.559 00:35.565 00:27.508 00:49.486 0 M
9 02:45.652 01:28.760 00:27.739 00:49.153 0 M
10 01:53.311
C
00:35.069 00:28.414 00:49.828 1 M
11 01:51.488 00:35.330 00:27.185 00:48.973 0 M
12 02:48.473 01:30.997 00:28.701 00:48.775 0 M
13 01:52.530
C
00:35.391 00:28.237 00:48.902 1 M
14 06:26.599 05:09.005 00:28.049 00:49.545 0 M
15 02:08.215
C
00:35.439 00:27.301 01:05.475 1 M
16 01:51.552
C
00:35.016 00:28.048 00:48.488 1 M
17 01:51.937
C
00:35.752 00:27.293 00:48.892 1 M
18 01:50.224 00:35.119 00:26.887 00:48.218 0 M
19 01:51.565 00:34.890 00:27.139 00:49.536 0 M
20 01:53.252
C
00:35.033 00:29.543 00:48.676 1 M
21 02:00.107 00:34.752 00:29.546 00:55.809 0 M
22 01:50.388 00:34.954 00:27.068 00:48.366 0 M
23 05:40.848 04:20.981 00:30.349 00:49.518 0 M
24 01:55.285
C
00:38.465 00:28.013 00:48.807 1 M
25 01:50.021 00:34.827 00:27.071 00:48.123 0 M
26 03:29.752 02:12.496 00:28.008 00:49.248 0 M
27 01:50.440 00:34.624 00:27.103 00:48.713 0 M
28 01:49.967 00:34.710 00:26.833 00:48.424 0 M
29 01:50.081 00:34.715 00:27.149 00:48.217 0 M
30 05:03.573 03:46.542 00:28.521 00:48.510 0 M
31 01:50.371 00:34.987 00:27.256 00:48.128 0 M
32 01:50.476
C
00:34.363 00:26.843 00:49.270 1 M
33 01:49.378 00:34.548 00:26.847 00:47.983 0 M
34 01:49.522 00:34.462 00:27.167 00:47.893 0 M
35 01:49.099 00:34.498 00:26.905 00:47.696 0 M
36 01:50.273
C
00:34.426 00:28.139 00:47.708 1 M
37 01:50.288 00:34.499 00:27.054 00:48.735 0 M
38 01:52.277 00:34.589 00:27.698 00:49.990 0 M
39 01:52.314 00:34.414 00:27.310 00:50.590 0 M
40 01:50.699 00:34.649 00:27.122 00:48.928 0 M
41 05:37.358 04:19.176 00:29.488 00:48.694 0 M
42 02:00.935 00:33.797
S
00:26.848 01:00.290 0 M
43 01:47.692
L
00:33.869 00:26.681 00:47.142
S
0 M
44 03:21.471 02:04.952 00:28.215 00:48.304 1 M
45 01:50.466
C
00:34.735 00:26.878 00:48.853 1 M
46 01:49.052 00:34.461 00:26.891 00:47.700 0 M
47 01:49.123 00:34.617 00:26.901 00:47.605 0 M
48 02:25.967 00:34.269 00:37.408 01:14.290 1 S
49 01:59.770
C
00:43.329 00:27.918 00:48.523 1 S
50 02:17.499 01:01.156 00:28.148 00:48.195 1 M
51 01:49.480 00:34.749 00:26.837 00:47.894 0 M
52 01:50.912
C
00:35.393 00:26.946 00:48.573 1 M
53 01:49.217
C
00:34.419 00:26.833 00:47.965 1 M
54 01:50.095 00:34.972 00:27.157 00:47.966 0 M
55 03:26.583 02:10.433 00:27.864 00:48.286 0 M
56 01:53.093 00:34.717 00:26.960 00:51.416 0 M
57 01:48.542
C
00:34.387 00:26.815 00:47.340 1 M
58 04:29.102 03:12.972 00:27.513 00:48.617 0 M
59 01:50.437 00:35.166 00:27.170 00:48.101 0 M
60 01:48.744
C
00:34.296 00:26.819 00:47.629 1 M
61 01:48.535 00:33.984 00:26.815 00:47.736 0 M
62 03:07.179 01:51.619 00:27.679 00:47.881 1 M
63 02:07.187 00:34.330 00:42.570 00:50.287 0 M
64 01:49.047
C
00:34.284 00:26.923 00:47.840 1 M
65 01:49.291
C
00:34.550 00:27.036 00:47.705 1 M
66 01:51.457 00:34.619 00:26.650 00:50.188 0 M
67 04:13.698 02:57.314 00:27.608 00:48.776 0 M
68 01:48.913 00:34.069 00:27.248 00:47.596 0 M
69 01:47.628
C
00:33.859 00:26.717 00:47.052 1 M
70 04:06.131 02:50.716 00:27.454 00:47.961 0 M
71 01:48.992 00:34.153 00:27.572 00:47.267 0 M
72 02:39.509 01:24.683 00:27.424 00:47.402 0 M
73 01:47.984 00:34.081 00:26.618
S
00:47.285 0 M
6th Michael Weimer in STM Audi RS5 2022
Best: 01:48.373, Potential: 01:48.228
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:11.531 03:54.541 00:27.720 00:49.270 1 M
2 01:49.982 00:34.796 00:27.522 00:47.664 0 M
3 03:13.854 01:56.715 00:28.309 00:48.830 0 M
4 02:34.023
C
01:17.081 00:27.995 00:48.947 1 M
5 01:50.474
C
00:35.063 00:27.549 00:47.862 1 M
6 02:22.592
C
01:05.872 00:28.661 00:48.059 1 M
7 01:51.702 00:35.588 00:27.518 00:48.596 0 M
8 01:53.890 00:35.063 00:27.703 00:51.124 0 M
9 01:50.138
C
00:34.728 00:27.490 00:47.920 1 M
10 03:08.169 01:38.717 00:27.801 01:01.651 1 M
11 01:48.373
L
00:34.420 00:26.987
S
00:46.966
S
0 M
12 04:34.533 03:18.257 00:28.751 00:47.525 0 M
13 02:03.619
C
00:34.321 00:27.085 01:02.213 1 M
14 01:48.168
C
00:34.160 00:26.848 00:47.160 1 M
15 04:52.450 03:36.999 00:27.917 00:47.534 0 M
16 01:50.993
C
00:34.134 00:28.777 00:48.082 1 M
17 01:50.059 00:34.275
S
00:27.683 00:48.101 0 M
7th Eileen Weimer in STM Audi RS5 2022
Best: 01:49.759, Potential: 01:49.560
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:30.063 01:11.727 00:28.404 00:49.932 1 M
2 01:53.237 00:36.522 00:27.814 00:48.901 0 M
3 01:52.152
C
00:35.570 00:27.680 00:48.902 1 M
4 01:52.396 00:35.397 00:27.809 00:49.190 0 M
5 02:22.034 01:05.130 00:28.430 00:48.474 1 M
6 01:52.098
C
00:35.643 00:28.133 00:48.322 1 M
7 01:51.338 00:35.522 00:27.333 00:48.483 0 M
8 01:50.153 00:34.986
S
00:27.328 00:47.839 0 M
9 01:53.312 00:37.843 00:27.585 00:47.884 0 M
10 03:05.884 01:49.033 00:28.202 00:48.649 0 M
11 01:49.499
C
00:34.993 00:27.310 00:47.196 1 M
12 01:49.847 00:35.021 00:27.257
S
00:47.569 0 M
13 01:51.279 00:35.773 00:27.774 00:47.732 0 M
14 01:55.947
C
00:35.392 00:32.558 00:47.997 1 M
15 01:49.759
L
00:35.163 00:27.279 00:47.317
S
0 M
16 01:49.850
C
00:34.638 00:27.274 00:47.938 1 M
17 01:50.307 00:35.103 00:27.598 00:47.606 0 M
18 01:50.695 00:35.343 00:27.405 00:47.947 0 M
19 01:50.305 00:35.060 00:27.284 00:47.961 0 M
8th Viktor Kaltschew in STM Mercedes C63 2022
Best: 01:50.677, Potential: 01:50.677
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 16:49.221 15:25.597 00:32.418 00:51.206 1 M
2 05:15.229 03:49.468 00:30.960 00:54.801 0 M
3 01:51.736 00:35.452 00:27.522 00:48.762 0 M
4 01:52.461 00:35.501 00:28.355 00:48.605 0 M
5 01:52.527 00:35.131 00:27.986 00:49.410 0 M
6 01:50.677
L
00:35.104
S
00:27.463
S
00:48.110
S
0 M
7 01:51.309
C
00:34.957 00:27.364 00:48.988 1 M
8 06:07.757 04:44.472 00:33.808 00:49.477 0 M
9 05:24.925 04:06.917 00:29.039 00:48.969 0 M
10 01:51.605
C
00:35.061 00:28.016 00:48.528 1 M
11 01:51.193
C
00:34.797 00:27.414 00:48.982 1 M
9th Benedikt Hoepfer in STM BMW M4 2022
Best: 01:53.173, Potential: 01:52.736
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 06:15.117 04:53.428 00:30.353 00:51.336 1 S
2 05:55.526 04:36.088 00:29.210 00:50.228 0 S
3 01:53.173
L
00:35.818
S
00:27.661
S
00:49.694 0 S
4 03:14.486 01:56.731 00:28.498 00:49.257
S
0 S
5 04:11.391 02:42.057 00:28.719 01:00.615 0 S
6 01:54.516
C
00:36.485 00:28.054 00:49.977 1 S
7 04:32.074 03:09.342 00:31.630 00:51.102 0 S
10th Thomas Kneissler in STM Audi RS5 2022
Best: 01:53.375, Potential: 01:52.556
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:49.001 02:18.844 00:36.023 00:54.134 1 M
2 02:44.936 01:20.040 00:32.283 00:52.613 0 M
3 01:56.386 00:37.141 00:28.651 00:50.594 0 M
4 01:56.042
C
00:36.392 00:30.034 00:49.616 1 M
5 01:55.126 00:36.569 00:28.980 00:49.577 0 M
6 02:11.748 00:41.441 00:28.913 01:01.394 1 M
7 01:55.042
C
00:36.733 00:28.372 00:49.937 1 M
8 01:54.337 00:36.600 00:28.493 00:49.244 0 M
9 01:53.918 00:36.140 00:28.418 00:49.360 0 M
10 01:53.375
L
00:35.746
S
00:27.914
S
00:49.715 0 M
11 02:03.644 00:42.509 00:30.056 00:51.079 0 M
12 01:55.644 00:36.525 00:28.057 00:51.062 0 M
13 04:03.103 02:42.333 00:30.352 00:50.418 0 S
14 01:54.215 00:35.996 00:29.323 00:48.896
S
0 S
15 01:52.552
C
00:35.323 00:28.084 00:49.145 1 S
11th Uemit Zobu in STM BMW M4 2022
Best: 01:53.777, Potential: 01:53.610
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:09.963 02:39.801 00:31.490 00:58.672 1 M
2 02:00.946 00:38.969 00:29.435 00:52.542 0 M
3 03:17.987 01:57.105 00:28.746 00:52.136 0 M
4 01:59.415 00:38.144 00:28.494 00:52.777 0 M
5 02:01.090 00:40.279 00:29.480 00:51.331 0 M
6 01:55.669 00:37.059 00:27.837
S
00:50.773 0 M
7 02:00.781
C
00:40.096 00:28.111 00:52.574 1 M
8 01:59.778 00:36.204 00:28.480 00:55.094 0 M
9 01:57.638 00:35.837 00:27.923 00:53.878 0 M
10 02:00.279
C
00:36.057 00:31.031 00:53.191 1 M
11 01:53.777
L
00:35.770
S
00:28.004 00:50.003
S
0 M
12 01:55.648
C
00:35.647 00:30.213 00:49.788 1 M
12th Herbert Aeckerle in STM Mercedes C63 2022
Best: 02:01.374, Potential: 02:00.643
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:47.554 01:16.515 00:33.565 00:57.474 1 M
2 02:10.551 00:42.576 00:31.779 00:56.196 0 M
3 02:07.966 00:41.111 00:31.672 00:55.183 0 M
4 05:28.838 04:01.791 00:31.734 00:55.313 0 M
5 02:06.354 00:40.880 00:30.951 00:54.523 0 M
6 02:05.072 00:40.356 00:31.360 00:53.356 0 M
7 02:04.468 00:39.657 00:31.158 00:53.653 0 M
8 02:03.539 00:39.691 00:30.987 00:52.861 0 M
9 02:02.087 00:38.680 00:30.857 00:52.550 0 M
10 02:07.204 00:39.251 00:33.688 00:54.265 0 M
11 05:26.435 03:55.626 00:34.294 00:56.515 1 M
12 02:07.172 00:41.430 00:31.346 00:54.396 0 M
13 16:01.239 00:41.186 00:32.292 14:47.761 1 M
14 02:29.274 00:56.295 00:35.972 00:57.007 1 M
15 02:08.699 00:42.210 00:33.084 00:53.405 0 M
16 02:06.030 00:41.502 00:30.757 00:53.771 0 M
17 04:15.645 00:39.770 02:25.814 01:10.061 0 M
18 03:10.300 00:41.265 01:33.744 00:55.291 0 M
19 02:03.800 00:39.484 00:31.109 00:53.207 0 M
20 02:01.502 00:39.314 00:30.150
S
00:52.038 0 M
21 02:01.728 00:38.563
S
00:30.344 00:52.821 0 M
22 03:19.801 01:47.574 00:33.416 00:58.811 1 M
23 02:04.066 00:39.272 00:31.024 00:53.770 0 M
24 02:02.068 00:39.052 00:30.753 00:52.263 0 M
25 02:03.486 00:39.380 00:31.145 00:52.961 0 M
26 02:01.374
L
00:38.709 00:30.735 00:51.930
S
0 M
27 02:05.559
C
00:39.744 00:31.131 00:54.684 1 M
28 04:00.705 00:40.445 02:04.317 01:15.943 0 M
29 02:39.398 00:48.068 00:42.319 01:09.011 0 M
30 02:52.195 00:58.016 00:42.030 01:12.149 0 M
31 02:35.215 00:53.033 00:36.860 01:05.322 0 M
32 02:37.366 00:50.576 00:45.203 01:01.587 0 M
33 02:05.038 00:39.803 00:31.239 00:53.996 0 M
34 02:11.099 00:40.002 00:31.481 00:59.616 0 M
35 02:06.173 00:40.511 00:31.059 00:54.603 0 M
36 02:05.908
C
00:39.423 00:32.413 00:54.072 1 M
37 02:07.702 00:40.325 00:31.222 00:56.155 0 M
38 03:16.340 01:46.606 00:35.185 00:54.549 1 M
39 02:04.310 00:39.945 00:30.851 00:53.514 0 M
40 02:04.589 00:39.738 00:30.874 00:53.977 0 M
41 02:10.385 00:39.305 00:34.669 00:56.411 0 M
42 08:44.190 07:18.672 00:31.765 00:53.753 0 M
43 02:09.586 00:42.048 00:32.958 00:54.580 0 M
44 02:03.400 00:39.875 00:30.758 00:52.767 0 M
45 02:23.582 00:53.776 00:33.952 00:55.854 0 M
46 02:06.479 00:40.926 00:31.225 00:54.328 0 M
47 02:05.733 00:40.736 00:31.131 00:53.866 0 M
48 02:04.884 00:40.567 00:30.227 00:54.090 0 M
13th Dieter Suessenguth in STM Mercedes C63 2022
Best: 277:46:39.999, Potential: 00:00.000
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:31.337 03:08.601 00:30.519 00:52.217 1 M
2 02:44.417 01:22.203 00:30.392 00:51.822 1 M