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 C63 2022 01:43.251
Tyre: M
02:00.817 9 laps / 1 cuts
2 BMS Racing STM Mercedes 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 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 C63 2022 01:48.293
Tyre: M
01:49.312 9 laps / 1 cuts
13 Bayern Racing STM Mercedes C63 2022 01:50.325
Tyre: H
01:51.958 11 laps / 1 cuts
14 Bayern Racing STM Mercedes 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 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 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 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 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 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 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