SRV Melbourne Layout GP (3xDRS)

13 Jan 22 21:39 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 II STM BMW M4 2022 01:45.435
Tyre: M
02:09.153 29 laps / 8 cuts
2 BMS Racing STM Mercedes C63 2022 01:46.368
Tyre: M
01:59.872 28 laps / 3 cuts
3 BMS Racing STM Mercedes C63 2022 01:46.915
Tyre: M
02:14.965 34 laps / 8 cuts
4 SRV Jägermeister eSport II STM Audi RS5 2022 01:47.258
Tyre: M
01:47.285 5 laps / 2 cuts
5 Stiftung Plankentest I STM Audi RS5 2022 01:48.481
Tyre: M
02:51.590 14 laps / 4 cuts
6 SRV Jägermeister eSport II STM Audi RS5 2022 01:49.057
Tyre: M
02:55.274 16 laps / 5 cuts
7 CT Motorsport STM Mercedes C63 2022 01:49.063
Tyre: M
01:51.565 19 laps / 4 cuts
8 Stiftung Plankentest II STM Audi RS5 2022 01:49.327
Tyre: M
02:10.792 41 laps / 9 cuts
9 Micro-Machines Sim Racing I STM Mercedes C63 2022 01:49.726
Tyre: M
02:11.030 38 laps / 8 cuts
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 3.4 X: 0.9 Y: -0.4 Z: 2.2 X: -10.6 Y: 3.2 Z: 545.0 16:46:02 (CET)
2 Collision with environment 45.5 X: 0.8 Y: -0.0 Z: -2.4 X: 18.7 Y: 3.6 Z: -225.6 18:05:20 (CET)
3 Collision with environment 23.3 X: -0.9 Y: -0.4 Z: -1.9 X: 17.6 Y: 3.3 Z: -219.3 18:05:25 (CET)
4 Collision with environment 28.9 X: 0.9 Y: -0.4 Z: 2.2 X: -605.0 Y: 3.0 Z: -520.5 18:24:22 (CET)
5 Collision with environment 17.1 X: -0.9 Y: -0.4 Z: -1.9 X: 38.0 Y: 3.3 Z: -339.8 18:29:32 (CET)
6 Collision with environment 82.4 X: -0.7 Y: -0.4 Z: 2.3 X: 64.2 Y: 3.8 Z: -395.8 18:31:17 (CET)
7 Collision with environment 24.9 X: 0.9 Y: -0.4 Z: 2.2 X: -605.1 Y: 2.9 Z: -518.6 18:32:27 (CET)
8 Collision with environment 4.7 X: 0.9 Y: -0.4 Z: 2.2 X: -605.4 Y: 3.1 Z: -536.0 18:32:32 (CET)
9 Collision with environment 5.7 X: -0.9 Y: -0.4 Z: 2.2 X: -292.8 Y: 1.7 Z: 269.7 18:42:50 (CET)
10 Collision with environment 1.9 X: -1.0 Y: -0.4 Z: 1.8 X: -297.5 Y: 1.7 Z: 265.7 18:42:55 (CET)
11 Collision with environment 34.1 X: -0.9 Y: -0.4 Z: 2.2 X: -350.4 Y: 2.8 Z: 106.7 18:43:55 (CET)
12 Collision with car 7.7 X: 0.9 Y: -0.3 Z: 2.2 X: -9.7 Y: 3.2 Z: 560.2 18:51:37 (CET)
13 Collision with car 8.0 X: -0.8 Y: -0.3 Z: -2.4 X: -7.9 Y: 3.2 Z: 562.3 18:51:41 (CET)
14 Collision with car 27.8 X: -0.9 Y: -0.4 Z: 2.2 X: -207.5 Y: 2.1 Z: 374.5 18:51:42 (CET)
15 Collision with car 23.5 X: 0.9 Y: -0.4 Z: -1.0 X: -207.4 Y: 2.1 Z: 374.5 18:51:46 (CET)
16 Collision with environment 27.9 X: 1.0 Y: -0.4 Z: -1.0 X: -273.5 Y: 1.7 Z: 318.1 18:51:47 (CET)
17 Collision with environment 0.2 X: 1.0 Y: -0.4 Z: -1.0 X: -359.5 Y: 2.2 Z: 234.2 18:51:52 (CET)
18 Collision with car 18.1 X: -0.8 Y: -0.3 Z: -2.4 X: 391.4 Y: 3.4 Z: 229.1 18:53:00 (CET)
19 Collision with car 15.5 X: 0.5 Y: -0.2 Z: 2.3 X: 391.4 Y: 3.4 Z: 229.2 18:53:01 (CET)
20 Collision with environment 6.5 X: -1.0 Y: -0.4 Z: 1.8 X: 31.0 Y: 3.3 Z: -300.2 18:56:35 (CET)
21 Collision with environment 12.0 X: -0.9 Y: -0.4 Z: 2.2 X: 177.6 Y: 2.4 Z: 729.1 18:59:10 (CET)
22 Collision with environment 5.9 X: -0.9 Y: -0.4 Z: -1.9 X: 177.8 Y: 2.5 Z: 729.3 18:59:15 (CET)
23 Collision with environment 12.9 X: -0.8 Y: -0.2 Z: -2.4 X: 34.4 Y: 3.2 Z: 570.4 19:17:58 (CET)
24 Collision with environment 55.2 X: -0.7 Y: -0.3 Z: 2.3 X: -671.7 Y: 2.8 Z: -406.7 19:40:29 (CET)
25 Collision with environment 33.3 X: -0.7 Y: -0.3 Z: 2.3 X: 61.3 Y: 3.8 Z: -391.7 19:41:12 (CET)
26 Collision with environment 12.1 X: 0.9 Y: -0.3 Z: 2.2 X: 1.1 Y: 3.0 Z: 538.3 19:42:07 (CET)
27 Collision with environment 3.1 X: 1.0 Y: -0.3 Z: 1.8 X: -19.3 Y: 3.3 Z: 536.7 19:59:23 (CET)
28 Collision with environment 9.3 X: 1.0 Y: -0.3 Z: 1.8 X: 154.9 Y: 2.8 Z: 732.1 20:01:18 (CET)
29 Collision with environment 27.7 X: -0.0 Y: -0.3 Z: 2.4 X: -677.5 Y: 2.7 Z: -405.6 20:01:48 (CET)
30 Collision with environment 15.0 X: 0.9 Y: -0.3 Z: 2.2 X: -24.9 Y: 3.3 Z: 531.2 20:02:43 (CET)
31 Collision with environment 14.7 X: 0.9 Y: -0.3 Z: 2.0 X: -503.9 Y: 3.6 Z: -755.2 20:03:48 (CET)
32 Collision with environment 11.1 X: -0.9 Y: -0.3 Z: 2.2 X: -384.1 Y: 3.0 Z: 29.9 20:07:08 (CET)
33 Collision with environment 46.3 X: 0.9 Y: -0.3 Z: 2.2 X: -605.0 Y: 3.1 Z: -521.5 20:08:54 (CET)
34 Collision with environment 5.9 X: -1.0 Y: -0.4 Z: 0.2 X: -449.9 Y: 2.9 Z: -28.8 20:09:14 (CET)
35 Collision with environment 4.4 X: -0.9 Y: -0.4 Z: 2.2 X: -505.7 Y: 3.1 Z: -81.5 20:09:19 (CET)
36 Collision with environment 13.2 X: 1.0 Y: -0.3 Z: -0.5 X: 157.7 Y: 2.7 Z: 735.0 20:11:58 (CET)
37 Collision with environment 20.7 X: 0.0 Y: -0.4 Z: 2.4 X: 48.1 Y: 3.5 Z: -370.2 20:14:30 (CET)
38 Collision with environment 8.9 X: -1.0 Y: -0.4 Z: 1.8 X: 35.0 Y: 3.4 Z: -325.0 20:24:55 (CET)
39 Collision with environment 11.2 X: 1.0 Y: -0.3 Z: 1.8 X: 11.3 Y: 3.2 Z: 566.3 20:40:10 (CET)
40 Collision with environment 14.6 X: -1.0 Y: -0.3 Z: 0.2 X: 211.6 Y: 3.5 Z: 202.6 20:44:13 (CET)
41 Collision with environment 18.8 X: 0.0 Y: -0.3 Z: 2.4 X: -179.4 Y: 3.1 Z: -829.4 20:52:39 (CET)
42 Collision with environment 20.6 X: -0.9 Y: -0.2 Z: -1.9 X: 140.5 Y: 2.7 Z: 693.6 20:56:34 (CET)
43 Collision with environment 7.1 X: -1.0 Y: -0.3 Z: 1.8 X: 131.1 Y: 2.7 Z: 684.6 20:56:39 (CET)
44 Collision with environment 76.0 X: -0.7 Y: -0.4 Z: 2.3 X: -348.5 Y: 2.7 Z: 123.9 20:57:35 (CET)
45 Collision with environment 28.0 X: 0.7 Y: -0.3 Z: 2.3 X: 59.5 Y: 3.8 Z: -389.2 21:04:20 (CET)
46 Collision with environment 2.7 X: -1.0 Y: -0.3 Z: -1.0 X: 32.1 Y: 3.4 Z: -307.1 21:13:31 (CET)
47 Collision with environment 24.6 X: 0.9 Y: 0.2 Z: -1.7 X: 161.7 Y: 3.3 Z: 739.2 21:16:06 (CET)
Car Env Rel
SRV Melbourne Layout GP (3xDRS) SRV Melbourne Layout GP (3xDRS) collisions

There were no penalties in this session.

1st Pascal Hein in STM BMW M4 2022
Best: 01:45.435, Potential: 01:45.435
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:00.109 01:45.828 00:27.202 00:47.079 1 M
2 01:47.267 00:34.134 00:26.608 00:46.525 0 M
3 01:46.252 00:33.604 00:26.482 00:46.166 0 M
4 03:25.655 02:12.283 00:27.140 00:46.232 0 M
5 02:37.773 01:24.454 00:27.067 00:46.252 0 M
6 01:48.180
C
00:33.668 00:28.409 00:46.103 1 M
7 01:49.570
C
00:36.211 00:27.261 00:46.098 1 M
8 01:46.214
C
00:33.683 00:26.312 00:46.219 1 M
9 01:46.706 00:33.978 00:26.522 00:46.206 0 M
10 01:45.757 00:33.509 00:26.281 00:45.967 0 M
11 01:45.908 00:33.557 00:26.447 00:45.904 0 M
12 01:46.320 00:33.483 00:26.541 00:46.296 0 M
13 01:46.123 00:33.529 00:26.460 00:46.134 0 M
14 02:41.951 01:28.327 00:27.023 00:46.601 0 M
15 01:46.490
C
00:33.654 00:26.558 00:46.278 1 M
16 01:45.788 00:33.509 00:26.330 00:45.949 0 M
17 02:44.225 01:30.632 00:26.893 00:46.700 0 M
18 01:46.040 00:33.424 00:26.365 00:46.251 0 M
19 03:11.108 01:58.105 00:26.833 00:46.170 0 M
20 01:45.780 00:33.609 00:26.257 00:45.914 0 M
21 03:44.437 02:31.092 00:26.855 00:46.490 0 M
22 01:47.749
C
00:35.218 00:26.406 00:46.125 1 M
23 03:09.811 01:56.034 00:27.000 00:46.777 0 M
24 01:46.075
C
00:33.548 00:26.438 00:46.089 1 M
25 01:45.810 00:33.409 00:26.298 00:46.103 0 M
26 03:14.737 02:00.757 00:27.423 00:46.557 0 M
27 01:46.350
C
00:33.796 00:26.298 00:46.256 1 M
28 01:46.587 00:33.596 00:26.442 00:46.549 0 M
29 01:45.435
L
L
00:33.362
S
S
00:26.209
S
S
00:45.864
S
S
0 M
2nd Fred Dohnke in STM Mercedes C63 2022
Best: 01:46.368, Potential: 01:46.358
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 07:19.413 06:01.594 00:28.832 00:48.987 1 M
2 01:50.479 00:34.204 00:27.203 00:49.072 0 M
3 01:51.002 00:33.800 00:27.252 00:49.950 0 M
4 03:47.671 02:32.480 00:28.018 00:47.173 0 M
5 01:48.730 00:34.138 00:27.126 00:47.466 0 M
6 01:48.163 00:33.913 00:27.378 00:46.872 0 M
7 04:20.983 03:06.009 00:27.738 00:47.236 0 S
8 01:47.884 00:34.485 00:26.828 00:46.571 0 S
9 01:47.218 00:34.007 00:26.748 00:46.463 0 S
10 01:47.357 00:34.160 00:26.784 00:46.413 0 S
11 01:47.408 00:33.681 00:27.062 00:46.665 0 S
12 01:47.494 00:33.852 00:26.910 00:46.732 0 S
13 04:17.531 02:56.639 00:30.695 00:50.197 0 M
14 01:48.704 00:34.770 00:26.860 00:47.074 0 M
15 01:52.169
C
00:37.334 00:27.720 00:47.115 1 M
16 02:44.171 01:26.817 00:29.029 00:48.325 0 M
17 01:48.813 00:34.603 00:27.189 00:47.021 0 M
18 01:51.388 00:37.237 00:26.937 00:47.214 0 M
19 01:47.367 00:34.147 00:26.797 00:46.423 0 M
20 01:47.032 00:33.660
S
00:26.730 00:46.642 0 M
21 03:09.559 01:52.866 00:27.989 00:48.704 0 M
22 01:47.664
C
00:33.931 00:26.546 00:47.187 1 M
23 01:47.756 00:34.163 00:26.582 00:47.011 0 M
24 01:47.575 00:33.896 00:26.897 00:46.782 0 M
25 04:33.835 03:16.107 00:28.786 00:48.942 0 M
26 01:47.848 00:33.949 00:27.216 00:46.683 0 M
27 01:47.200 00:33.774 00:26.891 00:46.535 0 M
28 01:46.368
L
00:33.670 00:26.527
S
00:46.171
S
0 M
3rd Andreas Braun in STM Mercedes C63 2022
Best: 01:46.915, Potential: 01:46.805
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:44.570 04:28.161 00:28.215 00:48.194 1 M
2 01:50.945 00:34.797 00:27.098 00:49.050 0 M
3 15:39.517 14:22.787 00:28.494 00:48.236 0 M
4 01:49.040
C
00:34.363 00:27.257 00:47.420 1 M
5 01:48.457 00:34.157 00:27.037 00:47.263 0 M
6 02:51.617 01:35.797 00:27.896 00:47.924 0 M
7 03:54.794 02:33.381 00:27.679 00:53.734 0 M
8 01:50.095 00:34.464 00:27.719 00:47.912 0 M
9 01:48.168 00:34.269 00:26.766 00:47.133 0 M
10 05:02.715 03:46.678 00:27.860 00:48.177 0 M
11 01:49.138
C
00:34.308 00:27.107 00:47.723 1 M
12 01:49.158 00:34.129 00:26.690 00:48.339 0 M
13 05:16.529 03:57.330 00:28.755 00:50.444 0 M
14 01:48.417 00:34.346 00:26.942 00:47.129 0 M
15 01:50.821 00:35.446 00:27.373 00:48.002 0 M
16 01:59.715
C
00:39.259 00:27.796 00:52.660 1 M
17 01:55.973 00:36.494 00:27.739 00:51.740 0 M
18 01:51.013 00:35.328 00:27.486 00:48.199 0 M
19 07:04.198 05:47.558 00:28.364 00:48.276 0 M
20 01:49.481
C
00:34.534 00:26.910 00:48.037 1 M
21 02:24.262 01:05.742 00:30.312 00:48.208 1 M
22 01:48.851 00:34.174 00:26.833 00:47.844 0 M
23 01:52.426 00:34.306 00:26.887 00:51.233 0 M
24 01:48.613
C
00:34.165 00:27.158 00:47.290 1 M
25 01:47.906 00:34.089 00:26.712 00:47.105 0 M
26 01:48.160 00:34.230 00:26.982 00:46.948 0 M
27 01:47.349 00:33.981 00:26.468
S
00:46.900 0 M
28 05:42.053 04:21.207 00:28.052 00:52.794 0 M
29 01:50.815 00:35.557 00:27.877 00:47.381 0 M
30 01:47.933 00:34.161 00:26.856 00:46.916 0 M
31 01:47.760
C
00:34.130 00:26.667 00:46.963 1 M
32 01:47.279 00:33.885 00:26.608 00:46.786 0 M
33 01:47.868 00:34.184 00:26.721 00:46.963 0 M
34 01:46.915
L
00:33.749
S
00:26.578 00:46.588
S
0 M
4th Stefan Herler in STM Audi RS5 2022
Best: 01:47.258, Potential: 01:46.913
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:58.885 01:43.879 00:27.720 00:47.286 1 M
2 01:47.299 00:34.125 00:26.550
S
00:46.624 0 M
3 01:47.258
L
00:34.003 00:26.671 00:46.584 0 M
4 01:47.300 00:33.978
S
00:26.937 00:46.385
S
0 M
5 01:47.346 00:33.537 00:26.982 00:46.827 1 M
5th Tim Quoos in STM Audi RS5 2022
Best: 01:48.481, Potential: 01:48.481
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:54.232 01:30.001 00:28.877 00:55.354 1 M
2 02:28.920 01:12.635 00:28.193 00:48.092 0 M
3 01:52.851 00:37.453 00:27.360 00:48.038 0 M
4 03:24.434 02:05.599 00:30.204 00:48.631 0 M
5 01:50.185 00:34.999 00:27.175 00:48.011 0 M
6 03:38.570 02:21.549 00:28.269 00:48.752 0 M
7 04:11.372 02:51.065 00:31.712 00:48.595 0 M
8 02:01.061
C
00:37.506 00:36.040 00:47.515 1 M
9 01:53.087
C
00:36.061 00:27.788 00:49.238 1 M
10 03:04.471 01:45.473 00:30.267 00:48.731 0 M
11 02:55.226 01:38.501 00:28.234 00:48.491 0 M
12 04:08.376 02:53.135 00:27.756 00:47.485 0 M
13 01:48.481
L
00:34.186
S
00:27.130
S
00:47.165
S
0 M
14 01:47.763
C
00:34.035 00:26.730 00:46.998 1 M
6th Michael Weimer in STM Audi RS5 2022
Best: 01:49.057, Potential: 01:49.057
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:01.034 02:41.916 00:28.214 00:50.904 1 M
2 01:53.159
C
00:35.584 00:27.477 00:50.098 1 M
3 06:43.027 05:25.424 00:27.991 00:49.612 0 M
4 01:52.541
C
00:35.686 00:28.174 00:48.681 1 M
5 04:27.159 03:11.041 00:27.522 00:48.596 0 M
6 01:50.969 00:34.613 00:27.545 00:48.811 0 M
7 01:50.469 00:34.747 00:27.230 00:48.492 0 M
8 01:49.705
C
00:34.631 00:27.072 00:48.002 1 M
9 01:50.525 00:34.656 00:27.490 00:48.379 0 M
10 01:49.906 00:34.711 00:27.221 00:47.974 0 M
11 07:31.747 06:16.124 00:27.649 00:47.974 0 M
12 03:37.895 02:21.576 00:28.030 00:48.289 0 M
13 01:51.008 00:34.850 00:28.170 00:47.988 0 M
14 03:22.728 02:07.348 00:27.216 00:48.164 0 M
15 01:49.057
L
00:34.600
S
00:26.951
S
00:47.506
S
0 M
16 02:42.865
C
01:25.546 00:28.251 00:49.068 1 M
7th Lars Borkowski in STM Mercedes C63 2022
Best: 01:49.063, Potential: 01:48.969
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:14.464 01:55.786 00:28.818 00:49.860 1 M
2 01:55.710 00:37.022 00:28.378 00:50.310 0 M
3 01:55.353 00:36.175 00:28.651 00:50.527 0 M
4 01:51.878 00:35.280 00:27.360 00:49.238 0 M
5 01:50.788 00:34.851 00:27.454 00:48.483 0 M
6 01:55.412 00:35.668 00:27.765 00:51.979 0 M
7 01:55.742 00:36.237 00:27.791 00:51.714 1 M
8 01:51.054 00:35.265 00:27.319 00:48.470 0 M
9 04:39.717 03:19.414 00:30.411 00:49.892 1 M
10 01:51.114 00:35.378 00:27.568 00:48.168 0 M
11 01:50.466 00:35.023 00:27.319 00:48.124 0 M
12 01:50.371 00:34.875 00:27.175 00:48.321 0 M
13 06:16.952 04:59.854 00:27.949 00:49.149 0 M
14 01:51.071
C
00:35.323 00:27.734 00:48.014 1 M
15 01:49.407 00:34.572 00:26.932
S
00:47.903 0 M
16 01:49.368 00:34.587 00:27.053 00:47.728 0 M
17 01:52.702 00:35.919 00:27.747 00:49.036 0 M
18 01:49.234 00:34.561 00:27.004 00:47.669 0 M
19 01:49.063
L
00:34.494
S
00:27.026 00:47.543
S
0 M
8th Yvan Thilmany in STM Audi RS5 2022
Best: 01:49.327, Potential: 01:48.958
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:49.920 02:29.828 00:29.156 00:50.936 1 M
2 01:56.910 00:36.197 00:27.932 00:52.781 0 M
3 01:52.949 00:35.963 00:27.608 00:49.378 0 M
4 01:56.656 00:35.471 00:31.433 00:49.752 0 M
5 01:51.956 00:35.646 00:27.351 00:48.959 0 M
6 05:09.908 03:50.556 00:27.652 00:51.700 0 M
7 01:53.825
C
00:35.103 00:29.979 00:48.743 1 M
8 01:51.108
C
00:35.233 00:27.504 00:48.371 1 M
9 02:40.159 01:22.584 00:28.080 00:49.495 0 M
10 01:51.983
C
00:35.564 00:27.937 00:48.482 1 M
11 01:51.027 00:35.157 00:27.359 00:48.511 0 M
12 01:50.317 00:35.005 00:27.167 00:48.145 0 M
13 01:50.908 00:34.881 00:27.270 00:48.757 0 M
14 05:52.347 04:36.148 00:27.508 00:48.691 0 M
15 01:50.263 00:34.830 00:26.937 00:48.496 0 M
16 01:51.119
C
00:34.570 00:27.950 00:48.599 1 M
17 01:50.482 00:34.995 00:27.341 00:48.146 0 M
18 01:49.787 00:34.691 00:27.392 00:47.704 0 M
19 05:52.920 04:37.126 00:27.711 00:48.083 0 M
20 01:50.393 00:34.884 00:27.130 00:48.379 0 M
21 01:50.036 00:34.895 00:27.082 00:48.059 0 M
22 01:49.883 00:34.630 00:26.878 00:48.375 0 M
23 03:30.216 02:14.818 00:27.706 00:47.692
S
0 M
24 01:49.327
L
00:34.740 00:26.802
S
00:47.785 0 M
25 03:38.156 02:22.755 00:27.517 00:47.884 0 M
26 08:25.824 07:07.969 00:28.409 00:49.446 1 M
27 01:51.879 00:34.973 00:28.072 00:48.834 0 M
28 01:51.014
C
00:34.658 00:27.419 00:48.937 1 M
29 03:28.798 02:10.997 00:28.260 00:49.541 0 M
30 03:48.421 02:31.867 00:28.287 00:48.267 0 M
31 01:51.709 00:35.254 00:27.671 00:48.784 0 M
32 02:48.494 01:31.738 00:28.206 00:48.550 0 M
33 01:50.815 00:34.779 00:27.342 00:48.694 0 M
34 01:50.980 00:34.800 00:27.242 00:48.938 0 M
35 05:06.717 03:51.081 00:27.837 00:47.799 0 M
36 01:50.070 00:34.726 00:27.347 00:47.997 0 M
37 01:49.826 00:34.830 00:27.279 00:47.717 0 M
38 07:18.690 06:02.495 00:27.968 00:48.227 0 M
39 01:50.429
C
00:34.613 00:27.109 00:48.707 1 M
40 01:50.981 00:34.464
S
00:27.602 00:48.915 0 M
41 01:49.771
C
00:34.774 00:27.086 00:47.911 1 M
9th Philipp Krauslach in STM Mercedes C63 2022
Best: 01:49.726, Potential: 01:49.321
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:49.900 03:28.778 00:29.377 00:51.745 1 M
2 04:39.910 03:21.057 00:28.804 00:50.049 0 M
3 01:53.023 00:36.131 00:27.820 00:49.072 0 M
4 04:00.459 02:43.279 00:28.301 00:48.879 0 M
5 01:52.005 00:35.198 00:27.865 00:48.942 0 M
6 01:52.657
C
00:36.080 00:27.828 00:48.749 1 M
7 01:51.925 00:35.299 00:28.017 00:48.609 0 M
8 01:50.931 00:35.272 00:27.225 00:48.434 0 M
9 04:55.577 03:37.129 00:29.223 00:49.225 0 M
10 01:52.413 00:35.498 00:27.595 00:49.320 0 M
11 01:50.830 00:35.090 00:27.433 00:48.307 0 M
12 01:50.427
C
00:35.061 00:27.085 00:48.281 1 M
13 01:51.735 00:35.504 00:27.860 00:48.371 0 M
14 01:51.734 00:34.676 00:28.364 00:48.694 0 M
15 01:50.149 00:34.486 00:27.612 00:48.051 0 M
16 01:48.842
C
00:34.498 00:26.932 00:47.412 1 M
17 01:49.762 00:34.554 00:27.315 00:47.893
S
0 M
18 01:50.984 00:34.754 00:27.788 00:48.442 0 M
19 03:32.884 02:15.732 00:28.277 00:48.875 0 M
20 01:51.290 00:35.965 00:27.302 00:48.023 0 M
21 05:09.675 03:52.842 00:28.898 00:47.935 0 M
22 01:49.386
C
00:34.447 00:27.211 00:47.728 1 M
23 01:50.942 00:35.257 00:27.724 00:47.961 0 M
24 01:49.726
L
00:34.302
S
00:27.486 00:47.938 0 M
25 04:33.817 03:11.516 00:33.184 00:49.117 0 M
26 04:15.979 02:59.798 00:28.062 00:48.119 0 M
27 01:52.218 00:35.767 00:28.134 00:48.317 0 M
28 01:50.389 00:34.686 00:27.513 00:48.190 0 M
29 01:49.940
C
00:34.939 00:27.140 00:47.861 1 M
30 01:49.982 00:34.580 00:27.126
S
00:48.276 0 M
31 01:51.449 00:35.840 00:27.522 00:48.087 0 M
32 03:50.407 02:34.528 00:27.837 00:48.042 0 M
33 01:50.606 00:34.700 00:27.576 00:48.330 0 M
34 01:49.407
C
00:34.387 00:27.374 00:47.646 1 M
35 01:50.070 00:34.524 00:27.548 00:47.998 0 M
36 01:50.375
C
00:34.766 00:27.491 00:48.118 1 M
37 01:51.054 00:35.138 00:27.730 00:48.186 0 M
38 01:49.907 00:34.578 00:27.238 00:48.091 0 M