SRV Mugello Layout GP (3xDRS)

18 Feb 22 19:58 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 Andreas Braun BMS Racing STM Mercedes AMG C63 2022 01:43.040
Tyre: M 		02:44.583 17 laps / 2 cuts
2 Fred Dohnke BMS Racing STM Mercedes AMG C63 2022 01:43.227
Tyre: M 		02:00.041 33 laps / 3 cuts
3 Pascal Hein Stiftung Plankentest II STM BMW M4 2022 01:44.042
Tyre: H 		01:44.520 44 laps / 12 cuts
4 Thomas Kneissler Horizont Personalmanagement Racing STM Audi RS5 2022 01:44.371
Tyre: M 		01:49.644 27 laps / 1 cuts
5 Eileen Weimer SRV Jägermeister eSport I STM Audi RS5 2022 01:44.950
Tyre: H 		01:48.900 31 laps / 2 cuts
6 Michael Weimer SRV Jägermeister eSport II STM Audi RS5 2022 01:45.221
Tyre: H 		01:58.891 21 laps / 2 cuts
7 Jean Ora HabAuchKeins STM BMW M4 2022 01:45.222
Tyre: H 		01:51.592 27 laps / 3 cuts
8 Philipp Krauslach Micro-Machines Sim Racing I STM Mercedes AMG C63 2022 01:45.291
Tyre: H 		01:47.605 17 laps / 1 cuts
9 Benedikt Hoepfer HW Performance STM BMW M4 2022 01:45.708
Tyre: M 		01:48.832 23 laps / 1 cuts
10 Daniel Amann Horizont Personalmanagement Racing STM BMW M4 2022 01:45.975
Tyre: M 		02:27.448 19 laps / 1 cuts
11 Herbert Aeckerle Bayern Racing STM Mercedes AMG C63 2022 01:54.065
Tyre: M 		02:00.823 48 laps / 1 cuts
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Daniel Amann Collision with environment 53.1 X: -0.9 Y: -0.3 Z: 2.1 X: -414.6 Y: 31.0 Z: -248.6 15:41:22 (CET)
2 Daniel Amann Collision with environment 6.5 X: 0.9 Y: -0.4 Z: 2.2 X: -377.4 Y: 31.0 Z: -274.1 15:44:32 (CET)
3 Daniel Amann Collision with environment 0.0 X: 0.9 Y: -0.4 Z: 2.2 X: -376.0 Y: 31.0 Z: -273.8 15:44:37 (CET)
4 Daniel Amann Collision with environment 28.0 X: 0.9 Y: -0.3 Z: 2.2 X: 27.6 Y: 6.3 Z: 84.7 15:51:27 (CET)
5 Daniel Amann Collision with environment 25.0 X: -0.9 Y: -0.3 Z: -1.9 X: -413.0 Y: 31.0 Z: -248.4 15:57:57 (CET)
6 Daniel Amann Collision with environment 24.9 X: 0.9 Y: -0.3 Z: 2.1 X: -592.0 Y: 28.4 Z: -230.4 16:00:57 (CET)
7 Daniel Amann Collision with environment 26.5 X: 0.9 Y: -0.3 Z: 2.1 X: -576.2 Y: 29.5 Z: -261.2 16:08:27 (CET)
8 Daniel Amann Collision with environment 83.0 X: 0.9 Y: -0.4 Z: 2.2 X: 340.2 Y: 5.4 Z: 131.8 16:09:47 (CET)
9 Andreas Braun Collision with environment 29.1 X: -0.9 Y: -0.3 Z: 2.1 X: 234.8 Y: -3.2 Z: -5.9 16:51:47 (CET)
10 Pascal Hein Collision with environment 16.4 X: 0.9 Y: -0.4 Z: 2.2 X: -99.5 Y: 0.6 Z: -2.1 16:58:32 (CET)
11 Andreas Braun Collision with environment 18.3 X: 0.9 Y: -0.3 Z: 2.1 X: -90.1 Y: 25.9 Z: -306.8 17:08:37 (CET)
12 Jean Ora Collision with environment 4.2 X: 0.8 Y: -0.3 Z: -2.4 X: 645.4 Y: -8.4 Z: 33.8 17:18:25 (CET)
13 Andreas Braun Collision with environment 15.2 X: -1.0 Y: -0.3 Z: 1.8 X: -665.5 Y: 22.6 Z: -101.8 17:21:47 (CET)
14 Jean Ora Collision with environment 55.1 X: 0.9 Y: -0.4 Z: -1.9 X: -718.1 Y: 18.5 Z: -85.8 17:25:30 (CET)
15 Andreas Braun Collision with environment 20.2 X: 0.9 Y: -0.3 Z: 2.1 X: 679.7 Y: 11.0 Z: 253.9 17:29:37 (CET)
16 Andreas Braun Collision with environment 76.3 X: -0.9 Y: -0.4 Z: 2.2 X: 76.3 Y: 13.6 Z: 222.7 17:41:17 (CET)
17 Pascal Hein Collision with environment 8.4 X: -0.9 Y: -0.0 Z: 1.3 X: 583.4 Y: 11.9 Z: 223.6 17:47:49 (CET)
18 Benedikt Hoepfer Collision with environment 46.5 X: 0.7 Y: -0.3 Z: 2.3 X: -402.9 Y: 31.0 Z: -247.1 17:51:33 (CET)
19 Benedikt Hoepfer Collision with environment 74.0 X: 0.6 Y: -0.3 Z: 2.3 X: -677.0 Y: 22.4 Z: -127.0 17:56:58 (CET)
20 Benedikt Hoepfer Collision with environment 7.4 X: -0.8 Y: -0.3 Z: -2.4 X: -651.1 Y: 23.9 Z: -133.3 17:57:03 (CET)
21 Pascal Hein Collision with environment 45.4 X: -0.6 Y: -0.3 Z: 2.3 X: 656.7 Y: -3.5 Z: 107.7 17:57:54 (CET)
22 Fred Dohnke Collision with environment 5.7 X: -1.0 Y: -0.3 Z: 1.8 X: -128.0 Y: 0.9 Z: 13.8 18:02:39 (CET)
23 Benedikt Hoepfer Collision with environment 117.0 X: -0.6 Y: -0.3 Z: 2.3 X: 427.4 Y: 18.6 Z: 252.4 18:06:18 (CET)
24 Pascal Hein Collision with environment 43.9 X: 0.8 Y: -0.0 Z: -2.4 X: -90.9 Y: 26.9 Z: -218.3 18:07:44 (CET)
25 Eileen Weimer Collision with environment 7.4 X: 0.9 Y: -0.3 Z: 2.2 X: -61.7 Y: 0.2 Z: 11.4 18:18:15 (CET)
26 Benedikt Hoepfer Collision with environment 47.6 X: 0.9 Y: -0.4 Z: 2.2 X: -592.2 Y: 28.3 Z: -228.6 18:30:03 (CET)
27 Eileen Weimer Collision with environment 9.5 X: -0.9 Y: -0.3 Z: 2.2 X: -327.7 Y: 7.4 Z: -3.6 18:30:45 (CET)
28 Benedikt Hoepfer Collision with environment 5.7 X: -0.9 Y: -0.3 Z: 2.2 X: -692.0 Y: 20.8 Z: -95.4 18:39:53 (CET)
29 Michael Weimer Collision with environment 24.3 X: -1.0 Y: -0.3 Z: 1.8 X: -375.4 Y: 30.5 Z: -242.5 18:55:56 (CET)
30 Thomas Kneissler Collision with environment 46.2 X: 0.9 Y: -0.3 Z: 2.2 X: -589.0 Y: 28.9 Z: -245.0 19:02:30 (CET)
31 Jean Ora Collision with environment 21.8 X: -0.9 Y: -0.4 Z: -1.9 X: -715.2 Y: 18.8 Z: -87.3 19:15:14 (CET)
32 Thomas Kneissler Collision with environment 22.4 X: -0.9 Y: -0.3 Z: -1.9 X: -416.4 Y: 31.1 Z: -248.8 19:17:55 (CET)
33 Thomas Kneissler Collision with environment 6.7 X: -1.0 Y: -0.3 Z: 1.8 X: -703.3 Y: 19.9 Z: -92.3 19:30:05 (CET)
34 Philipp Krauslach Collision with environment 54.3 X: 0.9 Y: -0.4 Z: 2.1 X: -664.4 Y: 23.1 Z: -130.1 19:41:40 (CET)
35 Thomas Kneissler Collision with environment 38.9 X: 0.9 Y: -0.3 Z: 2.1 X: -575.6 Y: 29.6 Z: -261.9 19:46:45 (CET)
Car Env Rel
SRV Mugello Layout GP (3xDRS) SRV Mugello Layout GP (3xDRS) collisions

There were no penalties in this session.

1st Andreas Braun in STM Mercedes AMG C63 2022
Best: 01:43.040, Potential: 01:42.929
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 13:17.090 11:35.435 00:32.392 01:09.263 1 H
2 01:57.106
C
00:36.754 00:32.760 00:47.592 1 H
3 06:48.556 05:23.583 00:32.723 00:52.250 0 M
4 01:43.884 00:26.060 00:30.961 00:46.863 0 M
5 06:22.000 05:01.347 00:33.205 00:47.448 0 M
6 01:43.726 00:25.948 00:30.973 00:46.805 0 M
7 01:43.587 00:25.836 00:30.667 00:47.084 0 M
8 03:19.314 01:59.177 00:32.283 00:47.854 0 M
9 01:49.799 00:26.045 00:36.005 00:47.749 0 M
10 01:43.111 00:25.760 00:30.781 00:46.570 0 M
11 02:29.428 01:09.935 00:32.531 00:46.962 0 M
12 01:43.303 00:25.728 00:30.924 00:46.651 0 M
13 01:43.114 00:25.727
S
00:30.704 00:46.683 0 M
14 05:27.354 04:06.916 00:33.165 00:47.273 0 M
15 01:43.040
L
L
00:25.838 00:30.664
S
00:46.538
S
S
0 M
16 03:43.036 02:21.446 00:34.115 00:47.475 0 M
17 01:48.276 00:27.667 00:33.134 00:47.475 0 M
2nd Fred Dohnke in STM Mercedes AMG C63 2022
Best: 01:43.227, Potential: 01:42.892
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 20:11.127 18:47.553 00:34.695 00:48.879 1 M
2 01:44.809 00:26.217 00:31.126 00:47.466 0 M
3 05:58.988 04:35.523 00:34.501 00:48.964 0 M
4 01:46.288 00:26.282 00:31.987 00:48.019 0 M
5 01:44.576 00:26.223 00:31.243 00:47.110 0 M
6 01:44.834 00:26.075 00:31.393 00:47.366 0 M
7 01:45.258 00:26.021 00:31.932 00:47.305 0 M
8 07:58.003 06:36.643 00:33.727 00:47.633 0 M
9 01:44.563 00:26.069 00:31.284 00:47.210 0 M
10 01:43.699 00:25.800 00:31.036 00:46.863 0 M
11 01:44.599 00:26.051 00:31.185 00:47.363 0 M
12 02:35.440 01:13.832 00:33.008 00:48.600 1 M
13 01:44.194 00:25.907 00:31.168 00:47.119 0 M
14 01:43.856 00:25.840 00:30.951 00:47.065 0 M
15 01:49.406
C
00:26.017 00:33.979 00:49.410 1 M
16 01:43.755 00:25.837 00:30.969 00:46.949 0 M
17 03:52.469 02:32.432 00:32.238 00:47.799 0 M
18 01:43.714 00:25.949 00:30.952 00:46.813 0 M
19 01:43.884 00:25.908 00:30.888 00:47.088 0 M
20 01:44.022 00:25.730 00:30.673 00:47.619 0 M
21 05:05.271 03:42.745 00:34.493 00:48.033 0 M
22 01:43.652 00:25.645
S
S
00:30.978 00:47.029 0 M
23 01:43.840 00:25.878 00:30.667 00:47.295 0 M
24 01:43.902 00:26.101 00:30.955 00:46.846 0 M
25 01:43.450 00:25.794 00:30.591
S
S
00:47.065 0 M
26 11:53.004 10:28.354 00:34.200 00:50.450 0 M
27 01:43.576 00:25.857 00:30.892 00:46.827 0 M
28 01:44.149 00:25.998 00:31.130 00:47.021 0 M
29 01:43.735 00:25.943 00:30.646 00:47.146 0 M
30 01:43.227
L
00:25.660 00:30.911 00:46.656
S
0 M
31 02:30.138 01:09.245 00:32.913 00:47.980 0 M
32 01:43.635 00:25.996 00:30.793 00:46.846 0 M
33 01:44.305 00:25.856 00:30.871 00:47.578 0 M
3rd Pascal Hein in STM BMW M4 2022
Best: 01:44.042, Potential: 01:43.831
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:44.346 01:23.553 00:32.985 00:47.808 1 H
2 02:05.304 00:44.952 00:32.750 00:47.602 1 H
3 01:44.436 00:26.356 00:30.857 00:47.223 0 H
4 04:24.766 03:05.035 00:32.315 00:47.416 1 H
5 01:44.280 00:26.160 00:30.798 00:47.322 0 H
6 01:44.111 00:26.149 00:30.812 00:47.150 0 H
7 01:44.448 00:26.413 00:30.874 00:47.161 0 H
8 03:53.045 02:32.698 00:32.890 00:47.457 1 H
9 01:45.032 00:26.166 00:31.050 00:47.816 0 H
10 03:45.718 02:25.717 00:32.063 00:47.938 1 H
11 01:44.126 00:26.159 00:30.740 00:47.227 0 H
12 03:18.885 01:49.749 00:32.584 00:56.552 1 H
13 01:45.138 00:26.244 00:31.225 00:47.669 0 H
14 01:44.314 00:26.113 00:30.856 00:47.345 0 H
15 01:44.531 00:26.132 00:30.893 00:47.506 0 H
16 01:45.068 00:26.170 00:31.315 00:47.583 0 H
17 03:21.657 02:01.998 00:32.044 00:47.615 1 H
18 01:44.219 00:26.091 00:30.960 00:47.168 0 H
19 01:44.042
L
00:26.058
S
00:30.762 00:47.222 0 H
20 01:44.511 00:26.093 00:30.965 00:47.453 0 H
21 03:11.979 01:52.500 00:32.219 00:47.260 1 H
22 01:44.265 00:26.140 00:30.825 00:47.300 0 H
23 01:44.094 00:26.163 00:30.757 00:47.174 0 H
24 01:44.116 00:26.127 00:30.942 00:47.047
S
0 H
25 01:45.022 00:26.137 00:30.929 00:47.956 0 H
26 03:09.392 01:49.185 00:32.526 00:47.681 1 H
27 01:44.286 00:26.148 00:30.865 00:47.273 0 H
28 01:44.751 00:26.113 00:31.171 00:47.467 0 H
29 01:44.170 00:26.144 00:30.803 00:47.223 0 H
30 01:44.716 00:26.159 00:30.978 00:47.579 0 H
31 02:36.039 01:16.308 00:32.355 00:47.376 1 H
32 01:44.652 00:26.104 00:30.992 00:47.556 0 H
33 01:44.062 00:26.100 00:30.802 00:47.160 0 H
34 01:44.392 00:26.150 00:30.826 00:47.416 0 H
35 01:46.439 00:26.331 00:32.368 00:47.740 0 H
36 01:44.529 00:26.156 00:31.095 00:47.278 0 H
37 03:00.270 01:40.485 00:32.256 00:47.529 1 H
38 01:44.651 00:26.235 00:31.157 00:47.259 0 H
39 01:44.794 00:26.292 00:30.860 00:47.642 0 H
40 01:44.284 00:26.110 00:30.838 00:47.336 0 H
41 03:06.863 01:46.890 00:32.539 00:47.434 1 H
42 01:44.947 00:26.184 00:31.302 00:47.461 0 H
43 01:44.172 00:26.177 00:30.726
S
00:47.269 0 H
44 01:44.049 00:26.064 00:30.879 00:47.106 0 H
4th Thomas Kneissler in STM Audi RS5 2022
Best: 01:44.371, Potential: 01:44.081
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:40.805 03:14.847 00:36.251 00:49.707 1 H
2 01:47.526 00:27.138 00:32.012 00:48.376 0 H
3 01:52.374 00:29.790 00:33.813 00:48.771 0 H
4 01:46.618 00:26.599 00:31.937 00:48.082 0 H
5 01:50.049 00:27.523 00:33.233 00:49.293 0 H
6 02:39.241 01:15.258 00:34.816 00:49.167 0 H
7 01:49.247 00:27.159 00:33.146 00:48.942 0 H
8 01:49.879 00:27.119 00:34.093 00:48.667 0 H
9 01:47.641 00:26.709 00:32.543 00:48.389 0 H
10 01:46.403 00:26.538 00:31.914 00:47.951 0 H
11 01:48.326 00:27.268 00:32.989 00:48.069 0 H
12 01:46.918 00:26.813 00:31.973 00:48.132 0 H
13 01:49.495 00:26.474 00:34.074 00:48.947 0 H
14 03:17.493 01:56.254 00:33.269 00:47.970 0 M
15 01:45.237 00:26.149 00:31.635 00:47.453 0 M
16 03:48.568 02:27.829 00:33.174 00:47.565 0 M
17 01:48.851 00:28.441 00:32.094 00:48.316 0 M
18 01:44.826 00:26.417 00:31.338 00:47.071 0 M
19 03:06.452 01:42.406 00:34.610 00:49.436 0 M
20 01:44.371
L
00:25.990 00:31.243
S
00:47.138 0 M
21 01:44.451 00:25.795
S
00:31.455 00:47.201 0 M
22 01:44.561 00:25.978 00:31.320 00:47.263 0 M
23 04:43.714 03:16.833 00:35.950 00:50.931 0 M
24 01:44.995 00:26.164 00:31.518 00:47.313 0 M
25 01:44.455 00:25.948 00:31.464 00:47.043
S
0 M
26 08:43.081 07:16.766 00:36.919 00:49.396 0 M
27 01:47.061 00:27.149 00:32.517 00:47.395 0 M
5th Eileen Weimer in STM Audi RS5 2022
Best: 01:44.950, Potential: 01:44.618
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:02.428 03:38.948 00:34.876 00:48.604 1 H
2 01:46.237 00:26.996 00:31.474 00:47.767 0 H
3 02:36.731 01:11.677 00:36.787 00:48.267 0 H
4 01:46.333 00:26.728 00:31.842 00:47.763 0 H
5 01:45.886 00:26.727 00:31.220 00:47.939 0 H
6 01:45.963 00:26.835 00:31.423 00:47.705 0 H
7 02:15.009 00:54.017 00:32.774 00:48.218 0 H
8 01:45.669 00:26.716 00:31.316 00:47.637 0 H
9 01:44.994 00:26.558 00:30.997 00:47.439 0 H
10 01:45.542 00:26.640 00:31.283 00:47.619 0 H
11 01:47.922 00:26.746 00:31.032 00:50.144 0 H
12 03:04.445 01:43.310 00:32.949 00:48.186 0 H
13 01:45.366 00:26.480 00:31.113 00:47.773 0 H
14 01:45.183 00:26.518 00:30.965
S
00:47.700 0 H
15 02:16.032 00:53.016 00:34.740 00:48.276 1 H
16 01:45.700 00:26.829 00:31.005 00:47.866 0 H
17 01:45.013 00:26.353
S
00:31.081 00:47.579 0 H
18 01:44.950
L
00:26.425 00:31.225 00:47.300
S
0 H
19 01:46.134 00:26.393 00:31.352 00:48.389 0 H
20 01:45.187 00:26.360 00:31.059 00:47.768 0 H
21 01:45.296 00:26.533 00:31.104 00:47.659 0 H
22 01:45.113 00:26.422 00:31.073 00:47.618 0 H
23 04:50.280 03:28.866 00:33.214 00:48.200 0 H
24 01:45.268 00:26.563 00:31.010 00:47.695 0 H
25 01:46.476 00:26.479 00:31.455 00:48.542 0 H
26 01:45.687 00:26.725 00:31.334 00:47.628 0 H
27 01:45.264 00:26.531 00:31.060 00:47.673 0 H
28 05:58.451 04:37.740 00:32.530 00:48.181 0 H
29 06:46.676 05:25.195 00:33.080 00:48.401 0 H
30 01:45.159 00:26.561 00:31.068 00:47.530 0 H
31 01:46.420 00:26.738 00:31.775 00:47.907 0 H
6th Michael Weimer in STM Audi RS5 2022
Best: 01:45.221, Potential: 01:45.039
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:33.948 03:11.877 00:33.475 00:48.596 1 H
2 01:45.840 00:26.621 00:31.483 00:47.736 0 H
3 01:45.695 00:26.216
S
00:31.878 00:47.601
S
0 H
4 01:46.198 00:26.314 00:31.414 00:48.470 0 H
5 01:45.441 00:26.452 00:31.235 00:47.754 0 H
6 01:45.525 00:26.324 00:31.320 00:47.881 0 H
7 01:46.416 00:26.752 00:31.667 00:47.997 0 H
8 03:11.569 01:49.687 00:32.899 00:48.983 0 H
9 01:46.165 00:26.650 00:31.694 00:47.821 0 H
10 01:45.305 00:26.456 00:31.222
S
00:47.627 0 H
11 01:46.423 00:26.341 00:31.568 00:48.514 0 H
12 10:02.344 08:41.110 00:32.886 00:48.348 0 H
13 14:44.917 13:21.743 00:34.353 00:48.821 0 H
14 01:46.988 00:26.663 00:31.924 00:48.401 0 H
15 01:46.067 00:26.791 00:31.379 00:47.897 0 H
16 04:20.043 02:58.215 00:32.845 00:48.983 1 H
17 05:00.500 03:38.744 00:33.309 00:48.447 0 H
18 01:45.419 00:26.341 00:31.432 00:47.646 0 H
19 01:45.221
L
00:26.224 00:31.334 00:47.663 0 H
20 12:41.313 11:19.768 00:33.390 00:48.155 0 H
21 01:46.172 00:26.712 00:31.711 00:47.749 0 H
7th Jean Ora in STM BMW M4 2022
Best: 01:45.222, Potential: 01:45.052
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:31.300 01:07.991 00:34.345 00:48.964 1 H
2 02:06.284 00:44.403 00:33.398 00:48.483 0 H
3 01:53.452 00:26.516 00:31.591 00:55.345 0 H
4 02:30.310 00:26.551 01:14.345 00:49.414 0 H
5 01:47.227 00:27.168 00:32.238 00:47.821 0 H
6 01:48.914 00:26.641 00:31.990 00:50.283 0 H
7 01:46.418 00:26.400 00:32.147 00:47.871 0 H
8 02:25.193 01:04.117 00:33.143 00:47.933 1 M
9 01:46.090 00:26.669 00:31.487 00:47.934 0 M
10 03:22.204 02:00.115 00:33.251 00:48.838 0 M
11 01:46.431 00:26.578 00:31.568 00:48.285 0 M
12 05:12.211 03:44.902 00:38.381 00:48.928 1 H
13 01:46.826 00:27.041 00:31.748 00:48.037 0 H
14 01:45.901 00:26.435 00:31.559 00:47.907 0 H
15 01:56.574 00:26.506 00:33.350 00:56.718 0 H
16 01:47.783 00:26.595 00:32.058 00:49.130 0 H
17 01:45.222
L
00:26.035
S
00:31.567 00:47.620
S
0 H
18 04:41.074 03:20.020 00:33.206 00:47.848 0 H
19 01:46.782 00:26.380 00:31.397
S
00:49.005 0 H
20 01:46.263 00:26.275 00:31.981 00:48.007 0 H
21 01:45.624 00:26.388 00:31.414 00:47.822 0 H
22 01:57.620 00:26.311 00:42.637 00:48.672 0 H
23 01:47.103 00:26.503 00:32.288 00:48.312 0 H
24 03:47.088 02:24.396 00:34.227 00:48.465 0 H
25 07:11.423 05:47.274 00:33.840 00:50.309 0 H
26 01:49.433 00:26.984 00:32.680 00:49.769 0 H
27 05:52.357 04:30.191 00:33.661 00:48.505 0 M
8th Philipp Krauslach in STM Mercedes AMG C63 2022
Best: 01:45.291, Potential: 01:45.226
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:43.630 01:15.592 00:35.500 00:52.538 1 H
2 01:48.780 00:27.645 00:32.147 00:48.988 0 H
3 01:53.463 00:26.964 00:32.386 00:54.113 0 H
4 01:47.100 00:26.955 00:31.940 00:48.205 0 H
5 01:46.920 00:26.909 00:31.725 00:48.286 0 H
6 01:46.222 00:26.684 00:31.654 00:47.884 0 H
7 01:48.199 00:26.934 00:32.777 00:48.488 0 H
8 01:47.843 00:26.978 00:32.464 00:48.401 0 H
9 01:47.444 00:26.782 00:32.711 00:47.951 0 H
10 08:31.932 07:07.777 00:34.862 00:49.293 0 H
11 04:13.696 02:50.649 00:33.903 00:49.144 0 H
12 01:48.258 00:27.230 00:32.418 00:48.610 0 H
13 01:47.180 00:26.995 00:31.784 00:48.401 0 H
14 03:56.428 02:33.164 00:34.943 00:48.321 0 H
15 01:46.165 00:26.808 00:31.770 00:47.587 0 H
16 01:46.008 00:26.394
S
00:31.981 00:47.633 0 H
17 01:45.291
L
00:26.459 00:31.316
S
00:47.516
S
0 H
9th Benedikt Hoepfer in STM BMW M4 2022
Best: 01:45.708, Potential: 01:45.253
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:45.943 01:18.486 00:35.567 00:51.890 1 M
2 01:48.978 00:27.041 00:32.702 00:49.235 0 M
3 01:58.980 00:30.978 00:37.881 00:50.121 0 M
4 01:48.081 00:26.901 00:32.588 00:48.592 0 M
5 01:50.578 00:26.568 00:32.917 00:51.093 0 M
6 04:58.117 03:34.480 00:34.731 00:48.906 0 M
7 01:49.540 00:27.014 00:32.977 00:49.549 0 M
8 01:47.043 00:26.313 00:32.543 00:48.187 0 M
9 04:41.452 03:16.321 00:35.100 00:50.031 0 H
10 01:49.036 00:27.537 00:32.890 00:48.609 0 H
11 01:48.815 00:26.699 00:32.886 00:49.230 0 H
12 01:47.800 00:27.097 00:32.278 00:48.425 0 H
13 01:48.843 00:27.325 00:32.643 00:48.875 0 H
14 01:47.648 00:26.864 00:32.122 00:48.662 0 H
15 01:48.187 00:26.831 00:32.518 00:48.838 0 H
16 01:48.460 00:26.816 00:32.347 00:49.297 0 H
17 01:51.142 00:27.235 00:33.489 00:50.418 0 H
18 01:48.671 00:26.744 00:32.824 00:49.103 0 H
19 06:13.574 04:48.497 00:36.694 00:48.383 0 M
20 01:45.708
L
00:26.417 00:31.590
S
00:47.701
S
0 M
21 01:47.640 00:26.325 00:32.030 00:49.285 0 M
22 01:46.942 00:26.378 00:32.418 00:48.146 0 M
23 01:45.733 00:25.962
S
00:31.994 00:47.777 0 M
10th Daniel Amann in STM BMW M4 2022
Best: 01:45.975, Potential: 01:45.975
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:53.616 01:20.240 00:41.022 00:52.354 1 M
2 02:01.086 00:37.971 00:33.340 00:49.775 0 M
3 05:04.011 03:30.010 00:35.420 00:58.581 0 H
4 04:16.211 02:52.124 00:34.767 00:49.320 0 H
5 01:48.948 00:27.048 00:32.827 00:49.073 0 H
6 03:45.202 02:19.999 00:36.000 00:49.203 0 H
7 01:48.680 00:26.772 00:32.408 00:49.500 0 H
8 01:55.063 00:32.812 00:32.567 00:49.684 0 H
9 01:51.326 00:28.378 00:33.493 00:49.455 0 H
10 03:09.097 01:45.041 00:34.799 00:49.257 0 H
11 01:48.793 00:28.265 00:32.274 00:48.254 0 H
12 01:46.701 00:26.745 00:32.094 00:47.862 0 H
13 01:55.371 00:27.229 00:31.846 00:56.296 0 H
14 05:18.239 03:53.711 00:34.871 00:49.657 0 H
15 01:53.447 00:28.996 00:35.447 00:49.004 0 H
16 02:41.202 01:16.331 00:35.375 00:49.496 0 H
17 01:48.062 00:27.081 00:32.463 00:48.518 0 H
18 04:13.830 02:50.089 00:34.430 00:49.311 0 M
19 01:45.975
L
00:26.550
S
00:31.684
S
00:47.741
S
0 M
11th Herbert Aeckerle in STM Mercedes AMG C63 2022
Best: 01:54.065, Potential: 01:53.739
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:52.636 03:19.571 00:40.131 00:52.934 1 M
2 01:57.878 00:28.995 00:37.579 00:51.304 0 M
3 01:56.238 00:28.685 00:35.843 00:51.710 0 M
4 01:54.065
L
00:28.471 00:34.493 00:51.101 0 M
5 03:51.203 02:20.960 00:37.031 00:53.212 0 M
6 01:55.355 00:29.145 00:34.892 00:51.318 0 M
7 02:00.495 00:28.469 00:38.395 00:53.631 0 M
8 02:05.477 00:28.574 00:43.115 00:53.788 0 M
9 08:36.620 07:06.715 00:38.084 00:51.821 0 M
10 01:58.226 00:29.230 00:35.284 00:53.712 0 M
11 01:59.374 00:29.113 00:39.029 00:51.232 0 M
12 01:55.624 00:29.571 00:35.104 00:50.949
S
0 M
13 01:59.458 00:30.979 00:36.004 00:52.475 0 M
14 01:57.015 00:29.341 00:36.644 00:51.030 0 M
15 01:58.777 00:29.641 00:36.963 00:52.173 0 M
16 01:54.337 00:28.373
S
00:34.417
S
00:51.547 0 M
17 30:47.341 29:10.285 00:41.211 00:55.845 0 M
18 01:56.866 00:28.702 00:35.604 00:52.560 0 M
19 01:55.341 00:28.409 00:34.920 00:52.012 0 M
20 08:57.308 07:24.186 00:38.803 00:54.319 0 H
21 01:58.479 00:29.550 00:36.495 00:52.434 0 H
22 01:57.117 00:29.506 00:35.460 00:52.151 0 H
23 01:59.542 00:28.975 00:37.076 00:53.491 0 H
24 01:57.519 00:29.629 00:35.915 00:51.975 0 H
25 01:59.277 00:28.710 00:35.469 00:55.098 0 H
26 02:02.147 00:29.015 00:39.002 00:54.130 0 H
27 02:00.638 00:28.605 00:39.901 00:52.132 0 H
28 01:57.169 00:28.960 00:36.824 00:51.385 0 H
29 01:59.229 00:28.590 00:36.369 00:54.270 0 H
30 02:07.152 00:29.438 00:36.568 01:01.146 0 H
31 01:58.404 00:31.004 00:36.162 00:51.238 0 H
32 01:57.297 00:28.835 00:37.324 00:51.138 0 H
33 02:01.283 00:28.894 00:39.011 00:53.378 0 H
34 02:10.408 00:29.833 00:41.215 00:59.360 0 H
35 02:03.296 00:29.391 00:37.421 00:56.484 0 H
36 02:02.128 00:29.185 00:36.783 00:56.160 0 H
37 02:07.751 00:31.227 00:38.178 00:58.346 0 H
38 04:24.724 02:47.366 00:44.047 00:53.311 0 H
39 02:01.078 00:29.035 00:38.291 00:53.752 0 H
40 02:01.366 00:30.533 00:37.773 00:53.060 0 H
41 01:58.185 00:28.941 00:36.395 00:52.849 0 H
42 01:54.511 00:28.466 00:34.578 00:51.467 0 H
43 01:58.491 00:28.540 00:38.795 00:51.156 0 H
44 01:57.481 00:29.029 00:36.009 00:52.443 0 H
45 02:04.277 00:29.031 00:41.269 00:53.977 0 H
46 01:58.870 00:29.649 00:35.945 00:53.276 0 H
47 02:06.806 00:28.724 00:41.666 00:56.416 0 H
48 02:50.157 00:32.569 00:36.265 01:41.323 0 H