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 BMS Racing STM Mercedes C63 2022 01:43.040
Tyre: M
02:44.583 17 laps / 2 cuts
2 BMS Racing STM Mercedes C63 2022 01:43.227
Tyre: M
02:00.041 33 laps / 3 cuts
3 Stiftung Plankentest II STM BMW M4 2022 01:44.042
Tyre: H
01:44.520 44 laps / 12 cuts
4 Horizont Personalmanagement Racing STM Audi RS5 2022 01:44.371
Tyre: M
01:49.644 27 laps / 1 cuts
5 SRV Jägermeister eSport I STM Audi RS5 2022 01:44.950
Tyre: H
01:48.900 31 laps / 2 cuts
6 SRV Jägermeister eSport II STM Audi RS5 2022 01:45.221
Tyre: H
01:58.891 21 laps / 2 cuts
7 HabAuchKeins STM BMW M4 2022 01:45.222
Tyre: H
01:51.592 27 laps / 3 cuts
8 Micro-Machines Sim Racing I STM Mercedes C63 2022 01:45.291
Tyre: H
01:47.605 17 laps / 1 cuts
9 HW Performance STM BMW M4 2022 01:45.708
Tyre: M
01:48.832 23 laps / 1 cuts
10 Horizont Personalmanagement Racing STM BMW M4 2022 01:45.975
Tyre: M
02:27.448 19 laps / 1 cuts
11 Bayern Racing STM Mercedes 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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