SRV Mugello Layout GP (3xDRS)

17 Feb 22 23:57 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 AMG C63 2022 01:43.251
Tyre: M
02:00.817 9 laps / 1 cuts
2 BMS Racing STM Mercedes AMG C63 2022 01:43.974
Tyre: M
02:03.217 9 laps / 1 cuts
3 Stiftung Plankentest I STM Audi RS5 2022 01:44.071
Tyre: M
01:45.901 29 laps / 6 cuts
4 Stiftung Plankentest II STM BMW M4 2022 01:44.200
Tyre: H
01:45.273 37 laps / 9 cuts
5 Stiftung Plankentest I STM Audi RS5 2022 01:44.225
Tyre: H
01:45.471 23 laps / 3 cuts
6 SRV Jägermeister eSport II STM Audi RS5 2022 01:44.606
Tyre: H
02:02.246 28 laps / 2 cuts
7 Horizont Personalmanagement Racing STM Audi RS5 2022 01:44.695
Tyre: M
01:51.221 23 laps / 1 cuts
8 CRM Motorsport STM BMW M4 2022 01:44.895
Tyre: M
02:01.503 15 laps / 1 cuts
9 SRV Jägermeister eSport I STM Audi RS5 2022 01:45.049
Tyre: M
01:45.235 3 laps / 3 cuts
10 CT Motorsport STM Mercedes AMG C63 2022 01:45.118
Tyre: M
01:55.758 14 laps / 1 cuts
11 Horizont Personalmanagement Racing STM BMW M4 2022 01:46.643
Tyre: M
03:00.378 25 laps / 1 cuts
12 Micro-Machines Sim Racing I STM Mercedes AMG C63 2022 01:48.293
Tyre: M
01:49.312 9 laps / 1 cuts
13 Bayern Racing STM Mercedes AMG C63 2022 01:50.325
Tyre: H
01:51.958 11 laps / 1 cuts
14 Bayern Racing STM Mercedes AMG C63 2022 01:53.110
Tyre: M
02:01.360 39 laps / 2 cuts
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 12.9 X: 0.9 Y: -0.4 Z: 2.2 X: -41.2 Y: -0.0 Z: 11.2 19:08:56 (CET)
2 Collision with car 7.7 X: 0.8 Y: -0.3 Z: -2.4 X: 265.7 Y: 9.8 Z: -199.7 19:10:06 (CET)
3 Collision with car 22.0 X: -1.0 Y: -0.3 Z: 1.1 X: 664.5 Y: 2.7 Z: 174.1 19:17:39 (CET)
4 Collision with car 10.4 X: 0.9 Y: -0.3 Z: 2.1 X: 664.1 Y: 2.8 Z: 175.1 19:17:41 (CET)
5 Collision with environment 22.7 X: -0.7 Y: -0.3 Z: 2.3 X: 603.7 Y: 9.4 Z: 214.2 19:17:46 (CET)
6 Collision with environment 29.2 X: -0.9 Y: -0.3 Z: 2.2 X: -715.2 Y: 18.8 Z: -87.3 19:20:55 (CET)
7 Collision with environment 62.7 X: -0.6 Y: -0.4 Z: 2.3 X: -683.4 Y: 21.4 Z: -97.7 19:22:20 (CET)
8 Collision with environment 21.1 X: 0.7 Y: -0.4 Z: 2.3 X: -823.5 Y: 16.8 Z: -64.3 19:25:21 (CET)
9 Collision with environment 26.1 X: 0.7 Y: -0.3 Z: 2.3 X: -721.7 Y: 18.2 Z: -83.7 19:26:11 (CET)
10 Collision with environment 21.7 X: -0.8 Y: -0.3 Z: -2.4 X: -700.6 Y: 21.3 Z: -121.5 19:26:29 (CET)
11 Collision with environment 25.6 X: 0.7 Y: -0.3 Z: 2.3 X: -713.1 Y: 19.0 Z: -88.4 19:27:11 (CET)
12 Collision with environment 67.1 X: -0.6 Y: -0.3 Z: 2.3 X: -712.0 Y: 19.1 Z: -89.0 19:28:01 (CET)
13 Collision with environment 3.2 X: -1.0 Y: -0.3 Z: 1.8 X: -657.6 Y: 23.1 Z: -103.5 19:28:59 (CET)
14 Collision with environment 99.5 X: 0.7 Y: -0.4 Z: 2.3 X: -20.3 Y: 9.9 Z: 159.2 19:32:36 (CET)
15 Collision with environment 28.5 X: -1.0 Y: -0.3 Z: 1.4 X: 256.9 Y: 14.5 Z: 179.2 19:35:15 (CET)
16 Collision with environment 0.8 X: 1.0 Y: -0.3 Z: 1.8 X: -17.1 Y: 16.5 Z: 223.8 19:40:32 (CET)
17 Collision with environment 12.8 X: -0.9 Y: -0.3 Z: 2.2 X: -694.4 Y: 20.6 Z: -94.8 19:44:25 (CET)
18 Collision with environment 6.8 X: -1.0 Y: -0.3 Z: 1.8 X: -693.9 Y: 20.7 Z: -94.9 19:46:15 (CET)
19 Collision with environment 65.7 X: -0.7 Y: -0.3 Z: 2.2 X: -22.7 Y: 10.7 Z: 161.5 19:48:22 (CET)
20 Collision with environment 6.5 X: 1.0 Y: -0.4 Z: 1.8 X: -134.2 Y: 1.0 Z: 11.2 19:48:52 (CET)
21 Collision with environment 19.5 X: -0.9 Y: 0.1 Z: -1.8 X: -701.7 Y: 20.5 Z: -92.8 19:55:22 (CET)
22 Collision with environment 65.0 X: 0.9 Y: -0.3 Z: 2.1 X: -582.6 Y: 29.2 Z: -253.1 19:58:12 (CET)
23 Collision with environment 25.9 X: 0.8 Y: -0.0 Z: -2.4 X: -581.8 Y: 29.6 Z: -254.1 19:58:17 (CET)
24 Collision with environment 53.4 X: -0.9 Y: -0.3 Z: 2.2 X: 271.3 Y: 15.2 Z: 208.0 19:59:25 (CET)
25 Collision with environment 47.9 X: -0.9 Y: -0.3 Z: 2.1 X: 241.2 Y: 14.2 Z: 160.6 19:59:30 (CET)
26 Collision with environment 10.6 X: 0.9 Y: -0.4 Z: 2.2 X: -744.2 Y: 19.0 Z: -113.0 20:05:57 (CET)
27 Collision with environment 56.5 X: -0.6 Y: -0.3 Z: 2.3 X: 271.6 Y: 15.2 Z: 208.7 20:22:57 (CET)
28 Collision with environment 14.4 X: -0.9 Y: -0.3 Z: 2.2 X: 264.2 Y: 14.8 Z: 192.8 20:23:22 (CET)
29 Collision with environment 0.1 X: -0.9 Y: -0.3 Z: 2.1 X: 263.4 Y: 14.7 Z: 191.1 20:23:27 (CET)
30 Collision with environment 0.0 X: -0.9 Y: -0.3 Z: 2.1 X: 263.4 Y: 14.7 Z: 191.1 20:23:32 (CET)
31 Collision with environment 41.2 X: -0.7 Y: -0.3 Z: 2.3 X: 6.6 Y: 23.3 Z: -269.8 20:24:20 (CET)
32 Collision with environment 38.4 X: -0.7 Y: -0.3 Z: 2.3 X: -714.3 Y: 18.9 Z: -87.8 20:25:02 (CET)
33 Collision with environment 11.4 X: 0.8 Y: -0.3 Z: -2.4 X: -726.9 Y: 19.9 Z: -116.4 20:25:07 (CET)
34 Collision with environment 44.7 X: -0.0 Y: -0.4 Z: 2.4 X: -702.5 Y: 20.0 Z: -92.5 20:32:07 (CET)
35 Collision with environment 65.8 X: -0.9 Y: -0.2 Z: 2.1 X: 33.5 Y: 22.4 Z: -263.6 20:32:42 (CET)
36 Collision with environment 15.6 X: 0.9 Y: -0.3 Z: 2.2 X: -156.9 Y: 9.9 Z: 87.3 20:33:47 (CET)
37 Collision with environment 69.8 X: -0.9 Y: -0.4 Z: 2.2 X: 415.8 Y: 18.7 Z: 258.8 20:46:09 (CET)
38 Collision with car 13.6 X: 0.7 Y: -0.2 Z: 2.3 X: -76.8 Y: 25.4 Z: -290.3 20:48:56 (CET)
39 Collision with car 14.9 X: -0.8 Y: -0.3 Z: -2.4 X: -77.3 Y: 25.4 Z: -289.6 20:48:56 (CET)
40 Collision with environment 15.3 X: 0.8 Y: -0.0 Z: -2.4 X: -721.4 Y: 18.5 Z: -83.9 21:01:29 (CET)
41 Collision with environment 36.9 X: -0.9 Y: -0.3 Z: 2.2 X: -610.9 Y: 25.4 Z: -114.3 21:10:59 (CET)
42 Collision with environment 15.9 X: -0.9 Y: -0.3 Z: -1.9 X: -609.5 Y: 25.7 Z: -114.7 21:11:04 (CET)
43 Collision with environment 21.6 X: 0.9 Y: -0.1 Z: 2.1 X: -107.8 Y: 1.0 Z: 11.6 21:11:29 (CET)
44 Collision with environment 42.7 X: -0.5 Y: -0.3 Z: 2.3 X: -391.9 Y: 30.8 Z: -245.3 21:12:55 (CET)
45 Collision with environment 24.3 X: 0.9 Y: -0.3 Z: -1.9 X: -696.8 Y: 21.5 Z: -122.3 21:17:41 (CET)
46 Collision with environment 50.5 X: 0.9 Y: -0.3 Z: 2.2 X: 529.0 Y: -10.1 Z: -90.5 21:27:37 (CET)
47 Collision with environment 40.1 X: -0.1 Y: -0.4 Z: 2.4 X: -102.8 Y: 0.7 Z: -3.4 21:33:00 (CET)
48 Collision with environment 11.6 X: -1.0 Y: -0.4 Z: 0.2 X: -110.7 Y: 0.7 Z: -3.9 21:33:05 (CET)
49 Collision with environment 28.2 X: 0.7 Y: -0.4 Z: 2.3 X: -56.9 Y: 0.1 Z: -2.4 23:05:23 (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: 01:43.251, Potential: 01:43.147
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 14:56.739 13:36.143 00:33.066 00:47.530 1 M
2 01:44.773 00:25.924 00:30.712
S
S
00:48.137 0 M
3 01:44.252 00:26.439 00:31.041 00:46.772 0 M
4 01:43.777 00:25.787 00:30.916 00:47.074 0 M
5 01:43.632 00:25.939 00:30.825 00:46.868 0 M
6 03:59.993 02:40.195 00:32.625 00:47.173 0 M
7 01:43.565 00:25.918 00:30.955 00:46.692
S
S
0 M
8 01:43.295 00:25.774 00:30.730 00:46.791 0 M
9 01:43.251
L
L
00:25.743
S
S
00:30.725 00:46.783 0 M
2nd Fred Dohnke in STM Mercedes AMG C63 2022
Best: 01:43.974, Potential: 01:43.970
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:28.843 01:04.913 00:35.289 00:48.641 1 M
2 01:43.974
L
00:25.907 00:30.839
S
00:47.228
S
0 M
3 03:04.189 01:43.958 00:32.675 00:47.556 0 M
4 01:44.433 00:25.903
S
00:31.113 00:47.417 0 M
5 01:47.266 00:26.392 00:32.432 00:48.442 0 M
6 01:45.886 00:26.222 00:31.519 00:48.145 0 M
7 03:05.027 01:43.708 00:33.350 00:47.969 0 M
8 01:45.600 00:26.355 00:31.562 00:47.683 0 M
9 02:31.173 01:09.866 00:33.534 00:47.773 0 M
3rd Christian Gerspacher in STM Audi RS5 2022
Best: 01:44.071, Potential: 01:43.783
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:12.486 00:51.108 00:33.075 00:48.303 1 H
2 01:46.321 00:26.765 00:31.734 00:47.822 0 H
3 01:47.133 00:26.470 00:32.962 00:47.701 0 H
4 01:45.075 00:26.419 00:31.072 00:47.584 0 H
5 01:47.644 00:26.306 00:31.231 00:50.107 0 H
6 01:48.127 00:27.249 00:33.052 00:47.826 0 H
7 01:45.207 00:26.384 00:31.374 00:47.449 0 H
8 01:45.020 00:26.307 00:31.203 00:47.510 0 H
9 01:45.491 00:26.386 00:31.203 00:47.902 0 H
10 01:47.364 00:26.296 00:32.774 00:48.294 0 H
11 01:45.758 00:26.532 00:31.603 00:47.623 0 H
12 01:46.517 00:26.494 00:31.815 00:48.208 0 H
13 01:47.337 00:27.219 00:31.815 00:48.303 0 H
14 01:47.973 00:26.752 00:32.800 00:48.421 0 H
15 02:11.688 00:26.873 00:32.005 01:12.810 1 H
16 02:08.160 00:47.096 00:32.990 00:48.074 1 M
17 01:44.282 00:26.140 00:30.807
S
00:47.335 0 M
18 01:45.046 00:26.399 00:31.213 00:47.434 0 M
19 01:44.320 00:26.124 00:31.122 00:47.074 0 M
20 01:45.297 00:27.005 00:31.231 00:47.061 0 M
21 01:44.994 00:26.550 00:31.220 00:47.224 0 M
22 01:46.618 00:27.652 00:31.540 00:47.426 0 M
23 01:45.076 00:26.141 00:31.505 00:47.430 0 M
24 01:46.493 00:26.713 00:31.707 00:48.073 0 M
25 01:58.078 00:26.413 00:31.568 01:00.097 1 M
26 02:06.059 00:46.221 00:32.418 00:47.420 1 M
27 03:51.905 02:32.463 00:32.170 00:47.272 1 M
28 01:44.565 00:26.278 00:30.947 00:47.340 0 M
29 01:44.071
L
00:26.037
S
00:31.095 00:46.939
S
0 M
4th Pascal Hein in STM BMW M4 2022
Best: 01:44.200, Potential: 01:43.943
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:31.610 01:10.575 00:33.389 00:47.646 1 H
2 01:48.975 00:26.328 00:34.839 00:47.808 0 H
3 03:10.755 01:51.339 00:32.062 00:47.354 1 H
4 01:45.799 00:26.766 00:31.765 00:47.268 0 H
5 01:44.833 00:26.218 00:31.063 00:47.552 0 H
6 01:44.450 00:26.213 00:31.014 00:47.223 0 H
7 04:04.379 02:42.970 00:32.999 00:48.410 1 H
8 01:44.529 00:26.328 00:30.955 00:47.246 0 H
9 01:44.697 00:26.180 00:31.104 00:47.413 0 H
10 02:31.375 01:09.385 00:32.418 00:49.572 1 H
11 01:44.819 00:26.313 00:31.027 00:47.479 0 H
12 01:44.484 00:26.165 00:30.938 00:47.381 0 H
13 01:44.850 00:26.226 00:31.243 00:47.381 0 H
14 01:44.967 00:26.127 00:31.058 00:47.782 0 H
15 01:44.769 00:26.406 00:31.094 00:47.269 0 H
16 02:39.372 01:19.208 00:32.477 00:47.687 1 H
17 01:44.922 00:26.352 00:31.059 00:47.511 0 H
18 01:44.426 00:26.181 00:31.095 00:47.150 0 H
19 01:44.200
L
00:26.084
S
00:30.965 00:47.151 0 H
20 01:44.464 00:26.209 00:30.996 00:47.259 0 H
21 04:11.159 02:51.024 00:32.481 00:47.654 1 H
22 01:44.475 00:26.278 00:30.973 00:47.224 0 H
23 01:44.300 00:26.145 00:30.897 00:47.258 0 H
24 01:44.452 00:26.229 00:30.960 00:47.263 0 H
25 03:41.711 02:16.661 00:32.229 00:52.821 1 H
26 01:44.695 00:26.255 00:31.158 00:47.282 0 H
27 04:46.057 03:25.988 00:32.387 00:47.682 1 H
28 01:44.325 00:26.240 00:30.997 00:47.088
S
0 H
29 01:44.868 00:26.262 00:31.158 00:47.448 0 H
30 01:44.404 00:26.248 00:30.861 00:47.295 0 H
31 01:44.244 00:26.128 00:30.892 00:47.224 0 H
32 04:14.839 02:54.357 00:32.899 00:47.583 1 H
33 01:44.464 00:26.160 00:31.112 00:47.192 0 H
34 01:59.274 00:26.123 00:31.064 01:02.087 0 H
35 01:44.494 00:26.212 00:30.875 00:47.407 0 H
36 01:44.266 00:26.092 00:30.874 00:47.300 0 H
37 01:44.203 00:26.150 00:30.771
S
00:47.282 0 H
5th Tim Quoos in STM Audi RS5 2022
Best: 01:44.225, Potential: 01:44.100
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:01.782 02:40.048 00:34.155 00:47.579 1 H
2 01:45.048 00:26.414 00:31.033 00:47.601 0 H
3 01:44.670 00:26.145 00:31.103 00:47.422 0 H
4 01:44.399 00:26.172 00:31.023 00:47.204 0 H
5 01:44.618 00:26.193 00:30.995 00:47.430 0 H
6 01:52.826 00:26.193 00:32.741 00:53.892 0 H
7 01:45.942 00:26.669 00:31.109 00:48.164 0 H
8 01:46.258 00:26.415 00:32.256 00:47.587 0 H
9 02:28.758 01:08.095 00:32.935 00:47.728 1 H
10 01:44.642 00:26.131 00:31.239 00:47.272 0 H
11 01:44.353 00:26.265 00:30.883 00:47.205 0 H
12 01:44.225
L
00:26.033
S
00:30.875
S
00:47.317 0 H
13 01:44.906 00:26.211 00:31.464 00:47.231 0 H
14 01:44.529 00:26.170 00:31.153 00:47.206 0 H
15 01:44.557 00:26.338 00:31.027 00:47.192
S
0 H
16 01:45.584 00:26.259 00:31.900 00:47.425 0 H
17 01:45.059 00:26.318 00:31.397 00:47.344 0 H
18 01:44.933 00:26.418 00:31.238 00:47.277 0 H
19 01:45.199 00:26.467 00:31.261 00:47.471 0 H
20 01:45.270 00:26.430 00:31.419 00:47.421 0 H
21 01:46.434 00:26.468 00:31.766 00:48.200 0 H
22 01:45.975 00:26.590 00:31.761 00:47.624 0 H
23 02:01.063 00:26.649 00:31.643 01:02.771 1 H
6th Michael Weimer in STM Audi RS5 2022
Best: 01:44.606, Potential: 01:44.334
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 08:01.272 06:38.184 00:34.235 00:48.853 1 H
2 03:12.096 01:47.847 00:35.180 00:49.069 0 H
3 01:47.352 00:26.963 00:32.045 00:48.344 0 H
4 01:46.110 00:26.684 00:31.725 00:47.701 0 H
5 01:46.740 00:26.864 00:31.928 00:47.948 0 H
6 01:46.092 00:26.550 00:31.567 00:47.975 0 H
7 01:45.970 00:26.504 00:31.712 00:47.754 0 H
8 01:46.147 00:26.479 00:31.486 00:48.182 0 H
9 01:45.521 00:26.569 00:31.316 00:47.636 0 H
10 01:46.090 00:26.368 00:31.788 00:47.934 0 H
11 04:41.521 03:20.112 00:32.935 00:48.474 0 H
12 01:47.047 00:26.745 00:31.715 00:48.587 0 H
13 01:45.544 00:26.456 00:31.455 00:47.633 0 H
14 01:45.099 00:26.317 00:31.261 00:47.521 0 H
15 18:53.050 17:30.912 00:33.354 00:48.784 0 H
16 01:46.349 00:26.591 00:31.744 00:48.014 0 H
17 01:46.967 00:26.935 00:31.937 00:48.095 0 H
18 25:41.739 24:18.984 00:33.668 00:49.087 0 H
19 01:49.498 00:26.864 00:31.824 00:50.810 0 H
20 02:49.255 01:27.134 00:33.777 00:48.344 1 H
21 01:46.246 00:26.686 00:32.018 00:47.542 0 H
22 01:45.616 00:26.232 00:31.108 00:48.276 0 H
23 01:45.260 00:26.537 00:31.109 00:47.614 0 H
24 05:19.169 03:56.586 00:33.930 00:48.653 0 H
25 01:44.952 00:26.579 00:31.149 00:47.224
S
0 H
26 01:45.034 00:26.028
S
00:31.275 00:47.731 0 H
27 02:58.170 01:36.958 00:33.394 00:47.818 0 H
28 01:44.606
L
00:26.230 00:31.082
S
00:47.294 0 H
7th Thomas Kneissler in STM Audi RS5 2022
Best: 01:44.695, Potential: 01:44.695
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:37.489 01:01.149 00:38.943 00:57.397 1 H
2 01:51.830 00:28.149 00:34.114 00:49.567 0 H
3 01:50.883 00:27.794 00:33.562 00:49.527 0 H
4 01:49.241 00:27.283 00:32.818 00:49.140 0 H
5 01:49.366 00:27.066 00:33.007 00:49.293 0 H
6 01:54.333 00:30.489 00:34.713 00:49.131 0 H
7 02:37.797 01:11.973 00:35.981 00:49.843 0 H
8 01:50.731 00:28.768 00:33.350 00:48.613 0 H
9 01:48.388 00:27.050 00:32.472 00:48.866 0 H
10 01:48.285 00:27.123 00:32.607 00:48.555 0 H
11 01:51.069 00:26.738 00:32.477 00:51.854 0 H
12 01:47.316 00:26.896 00:32.306 00:48.114 0 H
13 01:50.097 00:29.142 00:32.566 00:48.389 0 H
14 01:47.909 00:26.864 00:32.365 00:48.680 0 H
15 01:47.840 00:26.885 00:32.410 00:48.545 0 H
16 01:48.376 00:27.313 00:32.422 00:48.641 0 H
17 04:38.979 03:17.034 00:33.777 00:48.168 0 M
18 01:45.533 00:26.482 00:31.729 00:47.322 0 M
19 02:36.675 01:14.190 00:34.127 00:48.358 0 M
20 01:45.452 00:26.522 00:31.582 00:47.348 0 M
21 01:45.195 00:26.301 00:31.580 00:47.314 0 M
22 04:30.935 03:01.970 00:39.884 00:49.081 0 M
23 01:44.695
L
00:26.022
S
00:31.428
S
00:47.245
S
0 M
8th Uemit Zobu in STM BMW M4 2022
Best: 01:44.895, Potential: 01:44.886
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:34.364 01:09.242 00:35.091 00:50.031 1 M
2 04:44.619 03:20.518 00:34.492 00:49.609 0 M
3 01:49.070 00:27.252 00:33.290 00:48.528 0 M
4 01:47.867 00:27.084 00:32.571 00:48.212 0 M
5 01:47.534 00:26.710 00:32.486 00:48.338 0 M
6 01:47.093 00:26.642 00:32.207 00:48.244 0 M
7 01:46.751 00:26.724 00:32.103 00:47.924 0 M
8 08:51.488 07:29.557 00:33.638 00:48.293 0 M
9 01:46.283 00:26.310 00:31.621 00:48.352 0 M
10 01:46.351 00:26.485 00:31.829 00:48.037 0 M
11 05:09.057 03:46.490 00:34.084 00:48.483 0 M
12 01:45.943 00:26.248 00:31.343 00:48.352 0 M
13 01:46.322 00:26.524 00:31.964 00:47.834 0 M
14 01:45.312 00:26.246 00:31.329
S
00:47.737 0 M
15 01:44.895
L
00:26.208
S
00:31.338 00:47.349
S
0 M
9th Steffen Maschke in STM Audi RS5 2022
Best: 01:45.049, Potential: 01:44.803
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:56.145 02:05.111 01:01.970 00:49.064 3 M
2 01:45.421 00:26.131
S
00:31.829 00:47.461
S
0 M
3 01:45.049
L
00:26.259 00:31.211
S
00:47.579 0 M
10th Lars Borkowski in STM Mercedes AMG C63 2022
Best: 01:45.118, Potential: 01:45.101
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:32.853 01:06.273 00:35.379 00:51.201 1 H
2 01:47.280 00:27.134 00:32.288 00:47.858 0 H
3 01:46.461 00:26.500 00:32.139 00:47.822 0 H
4 01:46.514 00:26.549 00:32.045 00:47.920 0 H
5 01:47.098 00:26.634 00:32.346 00:48.118 0 H
6 01:49.554 00:26.564 00:32.603 00:50.387 0 H
7 01:49.039 00:27.197 00:33.188 00:48.654 0 H
8 20:05.043 18:40.510 00:34.826 00:49.707 0 H
9 01:48.823 00:26.770 00:32.531 00:49.522 0 H
10 01:46.948 00:26.637 00:32.255 00:48.056 0 H
11 03:30.277 02:07.977 00:33.578 00:48.722 0 M
12 01:46.682 00:26.875 00:32.071 00:47.736
S
0 M
13 01:45.302 00:26.202
S
00:31.270 00:47.830 0 M
14 01:45.118
L
00:26.219 00:31.163
S
00:47.736
S
0 M
11th Daniel Amann in STM BMW M4 2022
Best: 01:46.643, Potential: 01:46.270
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 07:29.019 05:18.834 00:55.854 01:14.331 1 M
2 05:24.247 00:42.840 03:28.786 01:12.621 0 M
3 09:06.612 06:55.680 00:53.842 01:17.090 0 M
4 08:23.379 06:55.259 00:38.422 00:49.698 0 M
5 02:04.407 00:27.215 00:33.633 01:03.559 0 M
6 01:48.656 00:27.837 00:32.067 00:48.752 0 M
7 02:06.858 00:27.075 00:50.287 00:49.496 0 M
8 01:48.215 00:26.964 00:32.337 00:48.914 0 M
9 04:33.787 03:08.445 00:36.391 00:48.951 0 M
10 01:50.229 00:26.825 00:34.911 00:48.493 0 M
11 01:46.658 00:26.864 00:31.806
S
00:47.988 0 M
12 02:44.658 01:22.289 00:33.458 00:48.911 0 M
13 01:55.551 00:32.512 00:34.429 00:48.610 0 M
14 03:57.334 02:33.693 00:34.352 00:49.289 0 M
15 01:57.109 00:26.825 00:39.574 00:50.710 0 M
16 02:35.264 01:07.339 00:35.978 00:51.947 0 M
17 01:52.854 00:28.483 00:34.573 00:49.798 0 M
18 01:50.862 00:26.743 00:33.854 00:50.265 0 M
19 02:00.699 00:35.108 00:36.306 00:49.285 0 M
20 01:47.711 00:27.188 00:31.879 00:48.644 0 M
21 01:46.643
L
00:26.584
S
00:32.179 00:47.880
S
0 M
22 01:51.423 00:29.235 00:33.668 00:48.520 0 M
23 05:11.593 01:45.768 01:35.530 01:50.295 0 M
24 04:10.458 00:59.082 00:41.643 02:29.733 0 M
25 02:55.180 00:39.104 00:41.648 01:34.428 0 M
12th Klemens Kowall in STM Mercedes AMG C63 2022
Best: 01:48.293, Potential: 01:48.079
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:04.939 03:39.412 00:35.523 00:50.004 1 M
2 01:50.426 00:27.500 00:33.984 00:48.942 0 M
3 01:49.361 00:27.147 00:33.020 00:49.194 0 M
4 01:48.466 00:27.070 00:32.652 00:48.744
S
0 M
5 01:48.293
L
00:27.104 00:32.436
S
00:48.753 0 M
6 01:48.381 00:26.899
S
00:32.634 00:48.848 0 M
7 01:49.453 00:27.576 00:33.106 00:48.771 0 M
8 01:49.904 00:27.284 00:33.787 00:48.833 0 M
9 01:50.216 00:27.552 00:33.282 00:49.382 0 M
13th Dieter Suessenguth in STM Mercedes AMG C63 2022
Best: 01:50.325, Potential: 01:49.821
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 06:24.103 04:27.121 01:03.626 00:53.356 1 H
2 01:55.431 00:28.774 00:35.573 00:51.084 0 H
3 01:52.711 00:27.936 00:34.235 00:50.540 0 H
4 01:52.496 00:27.978 00:34.321 00:50.197 0 H
5 01:52.750 00:28.182 00:34.645 00:49.923 0 H
6 01:51.830 00:27.419 00:34.201 00:50.210 0 H
7 01:50.676 00:27.205
S
00:33.278 00:50.193 0 H
8 12:57.258 11:24.634 00:39.667 00:52.957 0 H
9 01:50.596 00:27.611 00:33.507 00:49.478
S
0 H
10 01:50.813 00:27.222 00:33.902 00:49.689 0 H
11 01:50.325
L
00:27.596 00:33.138
S
00:49.591 0 H
14th Herbert Aeckerle in STM Mercedes AMG C63 2022
Best: 01:53.110, Potential: 01:52.569
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:38.897 00:58.440 00:40.765 00:59.692 1 M
2 02:02.250 00:30.612 00:37.264 00:54.374 0 M
3 02:15.747 00:38.906 00:42.143 00:54.698 0 M
4 02:01.882 00:29.479 00:39.051 00:53.352 0 M
5 02:04.394 00:30.052 00:38.696 00:55.646 0 M
6 02:04.671 00:29.694 00:38.286 00:56.691 0 M
7 02:03.434 00:31.275 00:37.043 00:55.116 0 M
8 02:01.858 00:29.873 00:37.900 00:54.085 0 M
9 01:57.933 00:29.836 00:36.022 00:52.075 0 M
10 02:00.766 00:29.668 00:37.651 00:53.447 0 M
11 05:51.028 04:17.856 00:39.905 00:53.267 0 M
12 01:58.220 00:28.797 00:37.728 00:51.695 0 M
13 01:58.960 00:29.212 00:37.561 00:52.187 0 M
14 01:59.719 00:28.616 00:39.434 00:51.669 0 M
15 01:54.648 00:28.103 00:35.541 00:51.004 0 M
16 01:56.802 00:27.881 00:37.701 00:51.220 0 M
17 01:59.164 00:28.350 00:37.809 00:53.005 0 M
18 01:56.078 00:28.292 00:35.407 00:52.379 0 M
19 02:46.586 01:14.562 00:36.693 00:55.331 1 M
20 02:02.024 00:30.328 00:38.803 00:52.893 0 M
21 01:57.034 00:29.081 00:35.902 00:52.051 0 M
22 01:56.479 00:28.590 00:36.297 00:51.592 0 M
23 17:34.203 16:02.564 00:39.326 00:52.313 0 M
24 01:58.165 00:28.867 00:36.823 00:52.475 0 M
25 02:17.463 00:30.299 00:42.422 01:04.742 0 M
26 04:29.621 02:59.419 00:36.558 00:53.644 0 M
27 01:56.255 00:28.902 00:34.933 00:52.420 0 M
28 01:57.561 00:28.339 00:37.845 00:51.377 0 M
29 01:57.494 00:28.372 00:38.718 00:50.404
S
0 M
30 01:53.110
L
00:27.776
S
00:34.389
S
00:50.945 0 M
31 02:50.704 01:18.135 00:39.401 00:53.168 0 M
32 01:57.726 00:29.008 00:36.482 00:52.236 0 M
33 08:33.342 07:03.913 00:36.509 00:52.920 0 M
34 01:55.132 00:28.197 00:35.369 00:51.566 0 M
35 01:56.304 00:29.575 00:35.005 00:51.724 0 M
36 03:54.103 02:23.450 00:37.981 00:52.672 0 M
37 01:58.634 00:29.417 00:36.748 00:52.469 0 M
38 01:57.754 00:28.587 00:37.242 00:51.925 0 M
39 01:55.170 00:27.901 00:35.761 00:51.508 0 M