SRV Lausitzring - Layout GP (3xDRS)

02 Mar 22 20:32 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 Ping
1 BMS Racing STM Mercedes C63 2022 01:42.429
Tyre: M
01:44.573 35 laps / 8 cuts 17 - 23
2 Stiftung Plankentest II STM BMW M4 2022 01:43.049
Tyre: H
01:43.702 40 laps / 12 cuts 4 - 9
3 Micro-Machines Sim Racing II STM Mercedes C63 2022 01:43.326
Tyre: M
01:45.491 31 laps / 11 cuts 5 - 111
4 SRV Jägermeister eSport II STM Audi RS5 2022 01:43.462
Tyre: H
01:43.893 28 laps / 7 cuts 21 - 30
5 BMS Racing STM Mercedes C63 2022 01:43.499
Tyre: H
01:44.788 25 laps / 2 cuts 14 - 21
6 SRV Jägermeister eSport I STM Audi RS5 2022 01:45.278
Tyre: M
01:47.533 18 laps / 6 cuts 14 - 22
7 Stiftung Plankentest I STM Audi RS5 2022 01:45.879
Tyre: H
01:51.043 28 laps / 11 cuts 18 - 52
8 Horizont Personalmanagement Racing STM Audi RS5 2022 01:46.934
Tyre: H
01:51.703 24 laps / 3 cuts 18 - 37
9 SRV Jägermeister eSport II STM Audi RS5 2022 01:47.675
Tyre: H
01:51.653 14 laps / 5 cuts 12 - 71
10 CRM Motorsport STM BMW M4 2022 01:48.509
Tyre: H
01:54.212 9 laps / 2 cuts 13 - 198
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 34.2 X: 0.8 Y: -0.3 Z: 2.2 X: -200.4 Y: -9.3 Z: -85.3 15:48:48 (CET)
2 Collision with environment 7.3 X: -1.0 Y: -0.3 Z: 1.8 X: 329.2 Y: -8.5 Z: -310.6 16:42:38 (CET)
3 Collision with environment 37.4 X: 1.0 Y: -0.3 Z: 1.8 X: 393.2 Y: -8.7 Z: 529.0 17:11:17 (CET)
4 Collision with environment 14.4 X: -1.0 Y: -0.4 Z: 1.8 X: -189.6 Y: -8.8 Z: 291.4 17:36:15 (CET)
5 Collision with environment 8.5 X: -1.0 Y: -0.4 Z: 0.2 X: 312.5 Y: -8.8 Z: 518.5 17:43:07 (CET)
6 Collision with environment 11.7 X: -0.9 Y: -0.4 Z: -1.9 X: 667.8 Y: -8.3 Z: -173.8 18:25:06 (CET)
7 Collision with environment 13.6 X: -1.0 Y: -0.4 Z: 1.8 X: -182.3 Y: -8.8 Z: 294.7 18:30:31 (CET)
8 Collision with environment 96.7 X: 0.9 Y: -0.3 Z: 2.1 X: -202.7 Y: -8.4 Z: -136.3 18:31:56 (CET)
9 Collision with environment 18.9 X: -1.0 Y: -0.4 Z: 1.8 X: 24.1 Y: -8.8 Z: 388.1 18:33:36 (CET)
10 Collision with environment 11.6 X: -0.9 Y: -0.4 Z: -1.9 X: 667.5 Y: -8.3 Z: -175.6 18:40:56 (CET)
11 Collision with environment 55.6 X: 0.6 Y: -0.4 Z: 2.3 X: -174.4 Y: -8.8 Z: 258.9 18:48:11 (CET)
12 Collision with environment 54.2 X: 0.9 Y: -0.4 Z: 2.2 X: -203.1 Y: -8.4 Z: -136.0 18:49:46 (CET)
13 Collision with environment 47.5 X: 1.0 Y: -0.4 Z: 1.8 X: 393.1 Y: -8.8 Z: 529.0 18:53:31 (CET)
14 Collision with environment 85.2 X: -0.9 Y: -0.4 Z: -1.9 X: -185.2 Y: -8.8 Z: 104.2 18:57:56 (CET)
15 Collision with environment 78.3 X: -0.6 Y: -0.4 Z: 2.2 X: 140.3 Y: -7.9 Z: 141.4 19:01:36 (CET)
16 Collision with environment 69.5 X: 0.9 Y: -0.3 Z: 2.2 X: -398.6 Y: -5.8 Z: 103.3 19:06:01 (CET)
17 Collision with environment 39.6 X: 1.0 Y: -0.4 Z: 1.8 X: 393.1 Y: -8.8 Z: 529.0 19:08:06 (CET)
18 Collision with environment 21.6 X: -0.9 Y: -0.4 Z: 2.2 X: 572.1 Y: -10.8 Z: 435.8 19:08:16 (CET)
19 Collision with environment 37.6 X: -0.7 Y: -0.3 Z: 2.3 X: 478.6 Y: -10.5 Z: 401.9 19:08:31 (CET)
20 Collision with environment 49.9 X: -0.9 Y: -0.4 Z: -2.0 X: 429.2 Y: -8.8 Z: 368.7 19:08:41 (CET)
21 Collision with car 164.3 X: -0.9 Y: -0.3 Z: 2.2 X: 444.5 Y: -8.8 Z: 214.3 19:16:51 (CET)
22 Collision with car 169.9 X: 0.9 Y: -0.4 Z: -2.1 X: 444.3 Y: -8.8 Z: 213.9 19:16:51 (CET)
23 Collision with car 8.9 X: 0.3 Y: -0.3 Z: -2.1 X: 465.2 Y: -7.4 Z: 229.1 19:16:56 (CET)
24 Collision with environment 65.4 X: -0.7 Y: -0.3 Z: 2.3 X: 503.5 Y: -8.4 Z: 259.5 19:16:56 (CET)
25 Collision with environment 24.4 X: 0.7 Y: -0.1 Z: -2.4 X: 514.7 Y: -8.5 Z: 259.8 19:16:56 (CET)
26 Collision with environment 0.0 X: 0.9 Y: -0.4 Z: -1.9 X: 517.7 Y: -8.8 Z: 259.5 19:17:01 (CET)
27 Collision with environment 43.7 X: 1.0 Y: -0.3 Z: 2.0 X: 393.0 Y: -8.7 Z: 529.0 19:19:01 (CET)
28 Collision with environment 75.1 X: 0.6 Y: -0.3 Z: 2.3 X: -202.2 Y: -9.4 Z: -66.2 19:19:31 (CET)
29 Collision with environment 12.0 X: 0.7 Y: -0.3 Z: 2.3 X: -168.4 Y: -8.7 Z: 261.8 19:20:06 (CET)
30 Collision with environment 93.5 X: 0.9 Y: -0.4 Z: 2.2 X: -203.3 Y: -8.4 Z: -135.7 19:24:36 (CET)
31 Collision with environment 75.8 X: 0.9 Y: -0.2 Z: 2.1 X: -202.9 Y: -8.3 Z: -136.1 19:26:32 (CET)
32 Collision with environment 13.9 X: -1.0 Y: -0.4 Z: 1.8 X: -185.3 Y: -8.8 Z: 293.4 19:27:01 (CET)
33 Collision with environment 62.3 X: 0.9 Y: -0.4 Z: 2.2 X: -203.3 Y: -8.4 Z: -135.8 19:28:31 (CET)
34 Collision with environment 14.9 X: 0.9 Y: -0.3 Z: 2.2 X: 560.3 Y: -8.8 Z: 125.8 19:45:17 (CET)
35 Collision with environment 92.6 X: 0.7 Y: 0.0 Z: 2.2 X: -201.2 Y: -8.0 Z: -137.2 19:48:16 (CET)
36 Collision with environment 56.4 X: 0.7 Y: -0.3 Z: 2.3 X: -176.3 Y: -8.8 Z: 120.7 19:49:16 (CET)
37 Collision with environment 9.9 X: -0.9 Y: -0.3 Z: -1.9 X: 660.5 Y: -8.2 Z: -211.6 19:59:10 (CET)
38 Collision with environment 2.1 X: -1.0 Y: -0.3 Z: 1.8 X: -127.5 Y: -8.5 Z: -181.3 20:02:12 (CET)
39 Collision with environment 100.0 X: 0.9 Y: -0.3 Z: 2.2 X: 393.0 Y: -8.7 Z: 529.0 20:04:27 (CET)
40 Collision with environment 23.0 X: 0.6 Y: -0.4 Z: 2.3 X: 557.9 Y: -8.8 Z: 122.9 20:10:46 (CET)
41 Collision with environment 71.1 X: 0.6 Y: -0.4 Z: 2.3 X: 553.2 Y: -8.8 Z: 117.2 20:20:11 (CET)
42 Collision with environment 33.7 X: 0.9 Y: -0.4 Z: 2.1 X: -200.8 Y: -9.4 Z: -81.8 20:26:36 (CET)
Car Env Rel
SRV Lausitzring - Layout GP (3xDRS) SRV Lausitzring - Layout GP (3xDRS) collisions

There were no penalties in this session.

1st Fred Dohnke in STM Mercedes C63 2022
Best: 01:42.429, Potential: 01:42.268
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 06:56.543 05:40.390 00:45.135 00:31.018 1 H
2 06:09.048 04:57.840 00:43.834 00:27.374 1 M
3 01:45.048 00:34.834 00:42.714 00:27.500 0 M
4 03:45.135 02:31.938 00:45.229 00:27.968 1 H
5 01:45.111 00:35.171 00:42.737 00:27.203 0 H
6 01:44.634 00:34.866 00:42.588 00:27.180 0 H
7 01:44.048 00:34.960 00:42.039 00:27.049 0 H
8 01:45.168 00:34.625 00:43.070 00:27.473 0 H
9 01:44.310 00:34.649 00:42.471 00:27.190 0 H
10 01:45.381 00:34.924 00:43.101 00:27.356 0 H
11 01:44.499 00:35.099 00:42.202 00:27.198 0 H
12 01:43.788 00:34.920 00:41.850 00:27.018 0 H
13 01:44.697 00:35.077 00:42.399 00:27.221 0 H
14 01:44.175 00:35.288 00:41.985 00:26.902 0 H
15 01:45.700 00:34.794 00:43.604 00:27.302 0 H
16 01:45.297 00:35.268 00:42.772 00:27.257 0 H
17 01:49.160 00:34.955 00:43.317 00:30.888 0 H
18 01:44.439 00:34.976 00:42.305 00:27.158 0 H
19 01:44.638 00:34.929 00:42.403 00:27.306 0 H
20 01:45.395 00:35.132 00:42.638 00:27.625 0 H
21 01:45.478 00:35.242 00:42.647 00:27.589 0 H
22 01:44.963 00:35.119 00:42.844 00:27.000 1 H
23 02:21.379 01:10.131 00:43.974 00:27.274 1 M
24 01:42.992 00:34.750 00:41.558 00:26.684 0 M
25 01:42.773 00:34.441 00:41.584 00:26.748 0 M
26 01:48.795 00:34.220 00:47.647 00:26.928 0 M
27 01:42.671 00:34.362 00:41.422
S
S
00:26.887 0 M
28 01:43.053 00:34.481 00:41.788 00:26.784 0 M
29 01:43.266 00:34.550 00:41.648 00:27.068 0 M
30 01:41.852
C
00:34.609 00:41.630 00:25.613 1 M
31 02:10.219 00:58.975 00:44.222 00:27.022 1 M
32 01:43.213 00:34.300 00:42.080 00:26.833 0 M
33 01:43.335 00:34.196
S
S
00:41.891 00:27.248 0 M
34 01:42.429
L
L
00:34.226 00:41.553 00:26.650
S
0 M
35 01:49.098 00:34.416 00:42.074 00:32.608 1 M
2nd Pascal Hein in STM BMW M4 2022
Best: 01:43.049, Potential: 01:42.972
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:00.743 01:49.383 00:43.865 00:27.495 1 H
2 01:44.583 00:35.174 00:42.418 00:26.991 0 H
3 07:34.634 06:23.341 00:44.033 00:27.260 1 H
4 01:44.497 00:35.094 00:42.173 00:27.230 0 H
5 01:44.473 00:34.763 00:42.723 00:26.987 0 H
6 01:43.452 00:34.530 00:42.056 00:26.866 0 H
7 01:43.230 00:34.514 00:41.904 00:26.812 0 H
8 01:43.580 00:34.577 00:42.035 00:26.968 0 H
9 03:07.473 01:56.778 00:43.564 00:27.131 1 H
10 01:43.445 00:34.668 00:41.867 00:26.910 0 H
11 01:43.471 00:34.648 00:41.953 00:26.870 0 H
12 02:07.833 00:57.394 00:43.411 00:27.028 1 H
13 01:43.436 00:34.578 00:41.899 00:26.959 0 H
14 01:43.746 00:34.500 00:41.913 00:27.333 0 H
15 03:38.762 02:28.086 00:43.442 00:27.234 1 H
16 01:43.566 00:34.617 00:42.083 00:26.866 0 H
17 01:43.311 00:34.582 00:41.814
S
00:26.915 0 H
18 01:43.049
L
00:34.438
S
00:41.891 00:26.720
S
0 H
19 01:43.305 00:34.571 00:41.958 00:26.776 0 H
20 01:43.256 00:34.460 00:41.986 00:26.810 0 H
21 03:14.947 02:03.357 00:44.342 00:27.248 1 H
22 02:36.560 01:25.956 00:43.416 00:27.188 1 H
23 01:44.308 00:35.021 00:42.242 00:27.045 0 H
24 01:43.703 00:34.790 00:41.914 00:26.999 0 H
25 01:43.664 00:34.603 00:42.174 00:26.887 0 H
26 01:43.709 00:34.535 00:42.309 00:26.865 0 H
27 05:17.468 04:06.792 00:43.550 00:27.126 1 H
28 01:43.935 00:34.626 00:42.133 00:27.176 0 H
29 01:43.464 00:34.478 00:42.026 00:26.960 0 H
30 02:29.507 01:17.453 00:44.893 00:27.161 1 H
31 01:43.989 00:34.819 00:42.116 00:27.054 0 H
32 03:52.262 02:38.463 00:45.963 00:27.836 1 H
33 01:45.024 00:34.931 00:42.418 00:27.675 0 H
34 01:43.608 00:34.582 00:42.017 00:27.009 0 H
35 01:43.459 00:34.537 00:42.093 00:26.829 0 H
36 02:08.498 00:58.110 00:43.326 00:27.062 1 H
37 01:43.471 00:34.761 00:41.966 00:26.744 0 H
38 02:06.145 00:53.771 00:44.974 00:27.400 1 H
39 01:43.717 00:34.592 00:42.148 00:26.977 0 H
40 01:43.208 00:34.476 00:41.854 00:26.878 0 H
3rd Jean Ora in STM Mercedes C63 2022
Best: 01:43.326, Potential: 01:43.156
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:43.842 01:26.810 00:49.122 00:27.910 1 M
2 01:45.097 00:35.631 00:42.416 00:27.050 0 M
3 01:43.722 00:34.777 00:42.062 00:26.883 0 M
4 01:43.518 00:34.614 00:41.800 00:27.104 0 M
5 01:44.404 00:35.235 00:41.904 00:27.265 0 M
6 01:43.591 00:34.719 00:42.056 00:26.816 0 M
7 01:45.044
C
00:34.750 00:42.683 00:27.611 1 M
8 02:32.616 01:19.599 00:45.445 00:27.572 1 M
9 01:46.150 00:36.148 00:43.002 00:27.000 0 M
10 01:43.820 00:34.755 00:42.084 00:26.981 0 M
11 01:44.020
C
00:34.860 00:42.142 00:27.018 1 M
12 01:43.326
L
00:34.593
S
00:41.939 00:26.794
S
0 M
13 03:05.534 01:52.283 00:45.747 00:27.504 1 M
14 01:44.753 00:34.729 00:43.132 00:26.892 0 M
15 03:16.702 02:05.642 00:44.078 00:26.982 1 M
16 01:43.956 00:34.845 00:41.769
S
00:27.342 0 M
17 02:34.831 01:23.592 00:43.758 00:27.481 1 M
18 03:42.269 02:31.025 00:43.732 00:27.512 1 M
19 01:51.297 00:34.617 00:49.576 00:27.104 0 M
20 01:43.842 00:34.609 00:42.259 00:26.974 0 M
21 02:32.861 01:16.276 00:44.617 00:31.968 1 H
22 03:50.983 02:36.144 00:46.223 00:28.616 1 H
23 01:54.845 00:34.966 00:42.520 00:37.359 0 H
24 01:46.464 00:35.125 00:44.334 00:27.005 0 H
25 01:45.169 00:35.266 00:42.457 00:27.446 0 H
26 03:47.323 02:37.159 00:43.195 00:26.969 1 M
27 01:44.234 00:35.069 00:42.323 00:26.842 0 M
28 01:44.547 00:35.314 00:42.277 00:26.956 0 M
29 01:47.761 00:34.901 00:45.756 00:27.104 0 M
30 01:44.721 00:35.060 00:42.643 00:27.018 0 M
31 01:44.606 00:34.798 00:42.903 00:26.905 0 M
4th Stefan Herler in STM Audi RS5 2022
Best: 01:43.462, Potential: 01:43.241
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:18.039 01:05.832 00:44.563 00:27.644 1 H
2 02:45.460 01:33.519 00:44.117 00:27.824 1 H
3 01:44.779 00:35.240 00:42.309 00:27.230 0 H
4 01:45.360 00:35.231 00:42.877 00:27.252 0 H
5 01:43.954 00:34.938 00:41.903 00:27.113 0 H
6 02:40.336 01:29.295 00:43.856 00:27.185 1 H
7 01:44.396 00:34.858 00:42.493 00:27.045 0 H
8 01:43.705 00:34.864 00:41.908 00:26.933 0 H
9 01:43.793 00:34.907 00:41.864 00:27.022 0 H
10 01:44.276 00:35.408 00:41.927 00:26.941 0 H
11 01:43.575 00:34.666 00:41.864 00:27.045 0 H
12 02:45.275 01:33.289 00:44.770 00:27.216 1 H
13 01:43.462
L
00:34.679 00:41.828 00:26.955 0 H
14 01:43.757 00:34.831 00:41.891 00:27.035 0 H
15 03:54.353 02:43.380 00:43.843 00:27.130 1 H
16 01:44.204 00:34.936 00:42.151 00:27.117 0 H
17 01:44.016 00:34.625 00:42.287 00:27.104 0 H
18 01:43.738 00:34.757 00:41.986 00:26.995 0 H
19 03:53.114 02:41.861 00:43.799 00:27.454 1 H
20 01:43.962 00:34.805 00:42.152 00:27.005 0 H
21 01:43.707 00:34.820 00:41.922 00:26.965 0 H
22 01:43.495 00:34.740 00:41.854 00:26.901 0 H
23 01:43.510 00:34.575
S
00:41.944 00:26.991 0 H
24 02:42.590 01:31.652 00:43.853 00:27.085 1 H
25 01:43.489 00:34.751 00:41.769
S
00:26.969 0 H
26 01:43.470 00:34.683 00:41.872 00:26.915 0 H
27 01:43.594 00:34.595 00:42.102 00:26.897
S
0 H
28 01:43.515 00:34.592 00:41.940 00:26.983 0 H
5th Andreas Braun in STM Mercedes C63 2022
Best: 01:43.499, Potential: 01:43.489
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:14.030 03:02.507 00:44.137 00:27.386 1 H
2 01:45.316 00:36.165 00:42.237 00:26.914 0 H
3 01:43.857 00:34.665 00:42.322 00:26.870 0 H
4 02:16.917 01:06.158 00:43.651 00:27.108 1 H
5 01:44.282 00:34.857 00:42.506 00:26.919 0 H
6 01:44.195 00:34.815 00:42.250 00:27.130 0 H
7 01:43.620 00:34.661 00:42.201 00:26.758 0 H
8 01:43.653 00:34.649
S
00:42.233 00:26.771 0 H
9 01:44.769 00:35.046 00:42.466 00:27.257 0 H
10 01:44.989 00:35.756 00:42.301 00:26.932 0 H
11 01:44.253 00:34.926 00:42.425 00:26.902 0 H
12 01:43.499
L
00:34.659 00:42.196
S
00:26.644
S
S
0 H
13 01:43.907 00:34.729 00:42.395 00:26.783 0 H
14 01:44.186 00:34.652 00:42.571 00:26.963 0 H
15 01:44.088 00:34.923 00:42.255 00:26.910 0 H
16 01:44.075 00:34.731 00:42.201 00:27.143 0 H
17 01:45.321 00:35.035 00:43.227 00:27.059 0 H
18 01:45.763 00:34.875 00:43.847 00:27.041 0 H
19 01:44.855 00:34.970 00:42.845 00:27.040 0 H
20 01:45.321 00:35.296 00:42.997 00:27.028 0 H
21 01:44.759 00:35.045 00:42.634 00:27.080 0 H
22 01:45.141 00:35.066 00:42.994 00:27.081 0 H
23 01:46.685 00:36.135 00:43.343 00:27.207 0 H
24 01:47.004 00:36.003 00:43.204 00:27.797 0 H
25 01:46.604 00:35.077 00:43.493 00:28.034 0 H
6th Eileen Weimer in STM Audi RS5 2022
Best: 01:45.278, Potential: 01:45.278
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:41.493 01:28.012 00:45.500 00:27.981 1 H
2 01:48.017 00:36.342 00:44.181 00:27.494 0 H
3 01:49.127 00:37.938 00:43.559 00:27.630 0 H
4 01:46.868 00:35.759 00:43.376 00:27.733 0 H
5 01:46.886
C
00:36.673 00:44.024 00:26.189 1 H
6 04:09.887 02:54.755 00:45.941 00:29.191 1 H
7 01:52.863 00:40.691 00:44.690 00:27.482 0 H
8 01:46.632 00:35.716 00:43.574 00:27.342 0 H
9 09:27.976 08:14.081 00:44.983 00:28.912 1 H
10 01:47.128 00:36.221 00:43.394 00:27.513 0 H
11 03:54.217 02:37.906 00:48.514 00:27.797 1 H
12 01:46.548 00:35.781 00:43.343 00:27.424 0 H
13 01:47.298 00:36.036 00:43.875 00:27.387 0 H
14 01:47.918 00:36.355 00:43.799 00:27.764 0 H
15 01:46.499 00:35.562 00:43.357 00:27.580 0 H
16 03:38.419 02:20.070 00:48.770 00:29.579 1 M
17 01:46.228 00:35.844 00:43.074 00:27.310 0 M
18 01:45.278
L
00:35.434
S
00:42.557
S
00:27.287
S
0 M
7th Christian Gerspacher in STM Audi RS5 2022
Best: 01:45.879, Potential: 01:45.654
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:40.917 01:12.761 00:49.581 00:38.575 1 H
2 02:21.461 01:05.484 00:47.159 00:28.818 1 H
3 01:54.303 00:38.392 00:47.326 00:28.585 0 H
4 01:51.501 00:38.079 00:44.991 00:28.431 0 H
5 01:53.724 00:37.313 00:48.515 00:27.896 0 H
6 01:50.506
C
00:36.976 00:45.166 00:28.364 1 H
7 03:43.809 02:24.523 00:50.719 00:28.567 1 H
8 02:58.686 01:38.360 00:51.795 00:28.531 1 H
9 01:50.425
C
00:36.459 00:45.260 00:28.706 1 H
10 01:53.653 00:36.590 00:48.853 00:28.210 0 H
11 01:51.300 00:36.676 00:46.940 00:27.684 0 H
12 01:49.638 00:36.648 00:45.013 00:27.977 0 H
13 01:50.654 00:37.764 00:44.698 00:28.192 0 H
14 01:59.383 00:36.484 00:54.477 00:28.422 0 H
15 01:49.922
C
00:36.820 00:45.436 00:27.666 1 H
16 01:48.862 00:36.398 00:44.416 00:28.048 0 H
17 03:50.774 02:37.235 00:46.139 00:27.400 1 H
18 01:48.214 00:35.719 00:45.018 00:27.477 0 H
19 01:46.412 00:35.173 00:43.996 00:27.243 0 H
20 01:46.247 00:35.409 00:43.587 00:27.251 0 H
21 01:45.879
L
00:35.094
S
00:43.335
S
00:27.450 0 H
22 04:33.177 03:20.925 00:44.621 00:27.631 1 H
23 01:49.845 00:36.036 00:46.583 00:27.226 0 H
24 01:48.841
C
00:36.710 00:44.762 00:27.369 1 H
25 01:48.797 00:35.537 00:45.842 00:27.418 0 H
26 01:47.435
C
00:36.956 00:43.227 00:27.252 1 H
27 02:02.002 00:51.150 00:43.627 00:27.225
S
0 H
28 01:47.317 00:35.520 00:43.622 00:28.175 0 H
8th Thomas Kneissler in STM Audi RS5 2022
Best: 01:46.934, Potential: 01:46.825
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 13:34.209 12:08.519 00:53.992 00:31.698 1 H
2 02:00.006 00:40.580 00:47.493 00:31.933 0 H
3 01:57.053 00:41.094 00:45.634 00:30.325 0 H
4 01:51.967 00:37.762 00:45.725 00:28.480 0 H
5 01:59.112 00:41.478 00:47.137 00:30.497 0 H
6 01:57.625 00:41.985 00:47.227 00:28.413 0 H
7 01:50.598 00:37.833 00:45.076 00:27.689 0 H
8 01:51.757 00:36.846 00:47.259 00:27.652 0 H
9 01:50.103 00:36.609 00:45.454 00:28.040 0 H
10 01:49.961 00:36.981 00:45.099 00:27.881 0 H
11 04:05.460 02:47.277 00:45.823 00:32.360 1 H
12 01:51.460 00:40.085 00:43.822 00:27.553 0 H
13 01:47.893 00:36.204 00:43.929 00:27.760 0 H
14 01:50.634
C
00:36.222 00:45.684 00:28.728 1 H
15 01:52.639 00:38.942 00:44.173 00:29.524 0 H
16 01:54.994 00:37.634 00:43.722 00:33.638 0 H
17 01:47.839 00:36.037 00:43.956 00:27.846 0 H
18 01:50.012 00:36.586 00:45.761 00:27.665 0 H
19 01:47.377 00:36.038 00:43.749 00:27.590 0 H
20 01:46.934
L
00:35.879
S
00:43.678 00:27.377
S
0 H
21 01:47.408 00:36.056 00:43.569
S
00:27.783 0 H
22 01:47.634 00:35.917 00:43.938 00:27.779 0 H
23 01:56.072 00:42.263 00:45.316 00:28.493 0 H
24 01:47.327 00:35.908 00:43.817 00:27.602 0 H
9th Michael Weimer in STM Audi RS5 2022
Best: 01:47.675, Potential: 01:46.789
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:50.521 03:36.213 00:46.332 00:27.976 1 H
2 01:49.495 00:37.112 00:43.317
S
00:29.066 0 H
3 01:48.177 00:36.631 00:43.722 00:27.824 0 H
4 01:47.675
L
00:36.454 00:43.735 00:27.486 0 H
5 01:09:04.071 01:07:49.362 00:45.675 00:29.034 1 H
6 02:09.879 00:56.416 00:45.481 00:27.982 0 H
7 01:51.644 00:37.169 00:45.919 00:28.556 0 H
8 01:48.691 00:36.732 00:44.495 00:27.464 0 H
9 01:48.410 00:36.469 00:44.019 00:27.922 0 H
10 02:50.633 01:37.531 00:45.216 00:27.886 1 H
11 39:59.883 38:39.823 00:47.605 00:32.455 1 H
12 01:52.941 00:37.898 00:46.405 00:28.638 0 H
13 04:46.479 03:33.354 00:45.634 00:27.491 1 H
14 01:47.968 00:36.211
S
00:44.496 00:27.261
S
0 H
10th Uemit Zobu in STM BMW M4 2022
Best: 01:48.509, Potential: 01:48.280
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:21.822 02:01.897 00:49.909 00:30.016 1 H
2 02:10.711 00:54.760 00:46.876 00:29.075 0 H
3 01:55.673 00:37.846 00:49.414 00:28.413 0 H
4 01:50.613 00:37.298 00:44.857 00:28.458 0 H
5 12:08.406 10:53.449 00:46.814 00:28.143 0 H
6 01:50.074 00:36.890 00:44.789 00:28.395 0 H
7 01:48.509
L
00:36.568
S
00:44.064 00:27.877
S
0 H
8 01:49.695 00:37.780 00:43.835
S
00:28.080 0 H
9 05:04.318 03:49.357 00:46.683 00:28.278 1 H