SRV Misano - Layout GP (3xDRS)

25 May 22 23:20 CEST
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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 Ping
1 Stiftung Plankentest II STM BMW M4 2022 01:31.603
Tyre: M
01:32.607 44 laps / 9 cuts 5 - 21
2 Micro-Machines Sim Racing II STM Mercedes C63 2022 01:32.146
Tyre: S
01:33.163 31 laps / 15 cuts 6 - 160
3 SRV Jägermeister eSport I STM Audi RS5 2022 01:33.723
Tyre: M
01:34.465 27 laps / 12 cuts 14 - 54
4 SRV Jägermeister eSport II STM Audi RS5 2022 01:35.069
Tyre: S
01:36.027 7 laps / 4 cuts 14 - 38
5 Horizont Personalmanagement Racing STM Audi RS5 2022 01:35.340
Tyre: S
01:37.155 20 laps / 11 cuts 15 - 30
6 MOR eSports STM BMW M4 2022 01:35.624
Tyre: S
02:06.644 38 laps / 7 cuts 12 - 56
7 Bayern Racing STM Mercedes C63 2022 01:41.919
Tyre: M
01:48.748 14 laps / 1 cuts 8 - 223
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 23.2 X: 0.9 Y: -0.3 Z: 2.2 X: 156.7 Y: -3.2 Z: -141.6 19:23:30 (CEST)
2 Collision with environment 95.5 X: 0.4 Y: 0.1 Z: 2.1 X: 179.6 Y: -3.4 Z: -186.9 19:33:35 (CEST)
3 Collision with environment 43.2 X: 1.0 Y: -0.2 Z: 1.8 X: -142.8 Y: 3.0 Z: 338.3 19:34:40 (CEST)
4 Collision with environment 70.8 X: 0.9 Y: -0.3 Z: 2.2 X: 182.4 Y: -3.9 Z: -191.7 19:37:35 (CEST)
5 Collision with environment 44.7 X: 0.9 Y: -0.4 Z: -1.9 X: 176.6 Y: -3.8 Z: -181.2 20:03:57 (CEST)
6 Collision with environment 63.1 X: -1.0 Y: -0.4 Z: 1.8 X: -140.7 Y: 2.9 Z: 329.0 20:10:03 (CEST)
7 Collision with environment 48.7 X: 1.0 Y: -0.4 Z: 1.8 X: 160.5 Y: -3.4 Z: -149.3 20:20:26 (CEST)
8 Collision with environment 10.9 X: 1.0 Y: -0.4 Z: -1.0 X: 146.2 Y: -3.1 Z: -120.3 20:20:31 (CEST)
9 Collision with environment 41.7 X: 0.9 Y: -0.4 Z: 2.1 X: -278.1 Y: 2.0 Z: 266.6 20:41:59 (CEST)
10 Collision with environment 3.8 X: 0.9 Y: -0.4 Z: 2.2 X: -259.6 Y: 1.8 Z: 248.3 20:42:04 (CEST)
11 Collision with environment 3.9 X: 1.0 Y: -0.4 Z: 1.8 X: -51.1 Y: 2.2 Z: 303.0 20:43:32 (CEST)
12 Collision with environment 11.6 X: 0.9 Y: -0.4 Z: 2.2 X: -304.1 Y: 2.4 Z: 292.3 20:50:44 (CEST)
13 Collision with environment 0.6 X: 1.0 Y: -0.4 Z: 1.8 X: -300.3 Y: 2.3 Z: 288.6 20:50:49 (CEST)
14 Collision with environment 36.3 X: -0.7 Y: -0.3 Z: 2.3 X: -146.5 Y: 2.9 Z: 331.3 21:11:23 (CEST)
15 Collision with environment 25.6 X: 0.9 Y: -0.4 Z: -1.9 X: -21.0 Y: -3.6 Z: -166.7 21:14:00 (CEST)
16 Collision with environment 45.2 X: 0.9 Y: -0.3 Z: 2.2 X: -271.6 Y: 2.0 Z: 260.1 21:18:28 (CEST)
17 Collision with environment 55.4 X: 0.9 Y: -0.4 Z: 2.1 X: -7.6 Y: -4.1 Z: -172.7 21:30:25 (CEST)
18 Collision with environment 59.6 X: 0.9 Y: -0.3 Z: 2.2 X: 191.4 Y: -4.2 Z: -207.8 21:33:03 (CEST)
19 Collision with environment 42.8 X: 0.9 Y: -0.4 Z: 2.2 X: -20.2 Y: -3.7 Z: -167.0 21:43:05 (CEST)
20 Collision with environment 20.9 X: 0.9 Y: -0.4 Z: 2.2 X: -1.0 Y: -4.3 Z: -175.7 21:46:45 (CEST)
21 Collision with environment 34.5 X: 0.7 Y: -0.3 Z: 2.3 X: 4.8 Y: -4.4 Z: -177.4 21:52:53 (CEST)
22 Collision with environment 32.3 X: -0.8 Y: -0.3 Z: -2.4 X: -134.7 Y: 2.8 Z: 327.1 21:54:30 (CEST)
23 Collision with environment 55.1 X: 0.6 Y: -0.3 Z: 2.2 X: -6.9 Y: -4.2 Z: -173.0 21:55:48 (CEST)
Car Env Rel
SRV Misano - Layout GP (3xDRS) SRV Misano - Layout GP (3xDRS) collisions

There were no penalties in this session.

1st Pascal Hein in STM BMW M4 2022
Best: 01:31.603, Potential: 01:31.471
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:10.937 00:58.933 00:38.493 00:33.511 1 M
2 01:33.711 00:23.628 00:37.295 00:32.788 0 M
3 01:32.961 00:23.399 00:36.819 00:32.743 0 M
4 01:32.785 00:23.471 00:36.783 00:32.531 0 M
5 03:38.409 02:26.949 00:38.344 00:33.116 1 M
6 01:34.571 00:24.596 00:36.775 00:33.200 0 M
7 01:33.058 00:23.362 00:36.797 00:32.899 0 M
8 01:33.362 00:23.414 00:36.990 00:32.958 0 M
9 01:33.076 00:23.286 00:36.953 00:32.837 0 M
10 01:32.535 00:23.361 00:36.558 00:32.616 0 M
11 01:32.438 00:23.309 00:36.522 00:32.607 0 M
12 02:11.259 00:59.938 00:38.259 00:33.062 1 M
13 01:33.334 00:23.399 00:36.626 00:33.309 0 M
14 01:32.777 00:23.558 00:36.635 00:32.584 0 M
15 01:32.468 00:23.353 00:36.589 00:32.526 0 M
16 01:32.540 00:23.321 00:36.594 00:32.625 0 M
17 01:32.522 00:23.326 00:36.652 00:32.544 0 M
18 03:29.738 02:18.436 00:38.075 00:33.227 1 M
19 01:33.054 00:23.582 00:36.806 00:32.666 0 M
20 01:32.727 00:23.400 00:36.598 00:32.729 0 M
21 02:18.986 01:07.576 00:38.282 00:33.128 1 M
22 01:32.775 00:23.421 00:36.652 00:32.702 0 M
23 01:33.186 00:23.602 00:36.725 00:32.859 0 M
24 01:32.560 00:23.381 00:36.689 00:32.490 0 M
25 01:32.426 00:23.230 00:36.670 00:32.526 0 M
26 05:03.271 03:51.379 00:38.579 00:33.313 1 M
27 01:32.462 00:23.333 00:36.612 00:32.517 0 M
28 01:32.982 00:23.439 00:36.684 00:32.859 0 M
29 01:32.700 00:23.431 00:36.725 00:32.544 0 M
30 01:32.303 00:23.282 00:36.432 00:32.589 0 M
31 03:40.489 02:29.312 00:37.967 00:33.210 1 M
32 01:33.286 00:23.239 00:37.147 00:32.900 0 M
33 01:31.729 00:23.113 00:36.365 00:32.251 0 M
34 01:31.851 00:23.243 00:36.284 00:32.324 0 M
35 02:58.686 01:48.314 00:37.684 00:32.688 1 M
36 01:31.723 00:23.229 00:36.292 00:32.202 0 M
37 06:54.028 05:42.734 00:38.259 00:33.035 1 M
38 01:32.642 00:23.486 00:36.612 00:32.544 0 M
39 01:31.811 00:23.213 00:36.415 00:32.183
S
S
0 M
40 01:32.041 00:23.299 00:36.293 00:32.449 0 M
41 01:31.603
L
L
00:23.153 00:36.208
S
S
00:32.242 0 M
42 01:31.716 00:23.086 00:36.365 00:32.265 0 M
43 01:31.809 00:23.080
S
S
00:36.491 00:32.238 0 M
44 01:31.728 00:23.256 00:36.211 00:32.261 0 M
2nd Jean Ora in STM Mercedes C63 2022
Best: 01:32.146, Potential: 01:32.007
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:36.466 01:20.434 00:41.278 00:34.754 1 S
2 01:36.081 00:24.540 00:37.903 00:33.638 0 S
3 01:37.438 00:24.880 00:37.728 00:34.830 1 S
4 01:35.010 00:24.251 00:37.211 00:33.548 1 S
5 03:21.271 02:07.570 00:39.641 00:34.060 1 S
6 01:33.722 00:23.761 00:36.972 00:32.989 0 S
7 01:33.301 00:23.789 00:36.689 00:32.823 0 S
8 01:32.993 00:23.595 00:36.589 00:32.809 0 S
9 01:33.080 00:23.537 00:37.013 00:32.530 0 S
10 01:32.572 00:23.578 00:36.544 00:32.450 0 S
11 04:03.770 02:51.555 00:39.073 00:33.142 1 S
12 05:53.055 04:39.732 00:39.887 00:33.436 1 S
13 01:33.739 00:23.732 00:37.283 00:32.724 0 S
14 02:28.334 01:14.674 00:40.248 00:33.412 1 S
15 01:33.738 00:23.830 00:36.896 00:33.012 1 S
16 01:33.537 00:23.688 00:37.061 00:32.788 0 S
17 01:32.911 00:23.692 00:36.648 00:32.571 0 S
18 01:32.543 00:23.603 00:36.450 00:32.490 0 S
19 01:32.455 00:23.519 00:36.482 00:32.454 0 S
20 03:19.562 02:00.970 00:45.477 00:33.115 1 S
21 01:32.406 00:23.560 00:36.441 00:32.405
S
0 S
22 01:35.004 00:25.433 00:37.112 00:32.459 1 S
23 01:33.230 00:23.570 00:36.873 00:32.787 1 S
24 01:32.730 00:23.587 00:36.464 00:32.679 0 S
25 01:38.887 00:23.508 00:36.710 00:38.669 1 S
26 02:29.630 01:15.039 00:40.248 00:34.343 1 S
27 01:33.152 00:23.803 00:36.671 00:32.678 0 S
28 01:35.124 00:23.429 00:36.896 00:34.799 1 S
29 01:33.240 00:23.471 00:36.288
S
00:33.481 0 S
30 01:32.146
L
00:23.314
S
00:36.306 00:32.526 0 S
31 01:39.082 00:23.837 00:37.206 00:38.039 1 S
3rd Eileen Weimer in STM Audi RS5 2022
Best: 01:33.723, Potential: 01:33.466
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:21.611 01:08.378 00:39.407 00:33.826 1 M
2 03:50.245 02:33.921 00:42.790 00:33.534 1 M
3 01:35.144 00:24.188 00:37.639 00:33.317 0 M
4 01:37.927 00:23.942 00:37.396 00:36.589 0 M
5 01:34.433 00:23.982 00:37.188 00:33.263 0 M
6 01:34.197 00:23.825 00:37.333 00:33.039 0 M
7 01:34.401 00:23.832 00:37.340 00:33.229 0 M
8 02:01.171 00:49.464 00:38.776 00:32.931 1 M
9 01:34.605 00:24.044 00:37.445 00:33.116 0 M
10 02:28.531 01:17.094 00:38.259 00:33.178 1 M
11 01:34.074 00:23.820
S
00:37.394 00:32.860 0 M
12 04:17.431 03:03.892 00:40.207 00:33.332 1 M
13 02:40.106 01:26.963 00:40.077 00:33.066 1 M
14 01:33.981 00:24.104 00:37.117 00:32.760
S
0 M
15 01:33.932 00:23.903 00:37.036 00:32.993 0 M
16 04:02.476 02:50.539 00:38.615 00:33.322 1 M
17 03:25.755 02:13.953 00:38.546 00:33.256 1 M
18 01:33.996 00:24.061 00:36.968 00:32.967 0 M
19 02:11.053 00:59.152 00:38.763 00:33.138 1 M
20 03:38.130 02:25.855 00:38.786 00:33.489 1 M
21 01:33.995 00:23.976 00:36.963 00:33.056 0 M
22 02:26.783 01:14.460 00:39.055 00:33.268 1 M
23 01:34.547 00:24.041 00:36.972 00:33.534 0 M
24 01:33.796 00:23.839 00:36.886
S
00:33.071 0 M
25 01:33.723
L
00:23.883 00:37.062 00:32.778 0 M
26 03:32.296 02:20.197 00:38.651 00:33.448 1 M
27 01:34.231 00:23.927 00:37.013 00:33.291 0 M
4th Michael Weimer in STM Audi RS5 2022
Best: 01:35.069, Potential: 01:35.069
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:18.244 02:02.882 00:39.312 00:36.050 1 M
2 02:47.622 01:33.313 00:39.973 00:34.336 1 M
3 03:03.528 01:47.896 00:39.820 00:35.812 1 M
4 01:37.240 00:25.235 00:37.895 00:34.110 0 M
5 01:35.774 00:24.306 00:37.651 00:33.817 0 M
6 03:40.151 02:27.116 00:38.786 00:34.249 1 S
7 01:35.069
L
00:24.167
S
00:37.233
S
00:33.669
S
0 S
5th Thomas Kneissler in STM Audi RS5 2022
Best: 01:35.340, Potential: 01:35.060
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:39.135 01:13.815 00:44.909 00:40.411 1 S
2 01:41.007 00:26.243 00:38.638 00:36.126 0 S
3 01:40.629 00:25.996 00:38.713 00:35.920 0 S
4 01:37.047 00:24.974 00:37.355 00:34.718 0 S
5 02:48.259 01:30.571 00:42.169 00:35.519 1 S
6 01:38.506 00:25.214 00:38.381 00:34.911 1 S
7 01:36.026 00:24.936 00:37.066
S
00:34.024 0 S
8 03:24.690 02:08.468 00:41.266 00:34.956 1 S
9 01:36.948 00:25.253 00:37.265 00:34.430 0 S
10 01:35.966 00:24.732 00:37.286 00:33.948 0 S
11 07:41.963 06:24.541 00:41.517 00:35.905 1 S
12 03:38.514 02:23.112 00:41.044 00:34.358 1 S
13 01:35.836 00:24.974 00:37.432 00:33.430
S
0 S
14 01:35.743
C
00:24.427 00:37.292 00:34.024 1 S
15 06:00.645 04:30.393 00:55.111 00:35.141 1 S
16 03:02.276 01:47.810 00:40.609 00:33.857 1 S
17 01:35.340
L
00:24.564
S
00:37.187 00:33.589 0 S
18 01:35.597 00:24.651 00:37.404 00:33.542 0 S
19 01:35.223
C
00:24.415 00:37.463 00:33.345 1 S
20 02:54.896 01:38.158 00:41.882 00:34.856 1 S
6th Lars Maisack in STM BMW M4 2022
Best: 01:35.624, Potential: 01:34.810
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 07:16.820 05:54.785 00:42.224 00:39.811 1 S
2 01:55.787 00:26.224 00:42.642 00:46.921 0 S
3 01:43.894 00:26.526 00:40.045 00:37.323 0 S
4 04:47.357 03:24.944 00:41.743 00:40.670 0 S
5 01:43.849
C
00:27.430 00:39.096 00:37.323 1 S
6 01:41.494 00:25.214 00:38.606 00:37.674 0 S
7 01:45.026 00:30.925 00:38.520 00:35.581 0 S
8 04:10.454 02:53.891 00:40.941 00:35.622 0 S
9 01:39.205
C
00:25.986 00:38.227 00:34.992 1 S
10 01:40.918 00:24.864 00:41.093 00:34.961 0 S
11 01:45.846
C
00:25.593 00:45.053 00:35.200 1 S
12 07:50.071 06:31.560 00:41.557 00:36.954 1 S
13 01:41.427 00:25.692 00:38.879 00:36.856 0 S
14 01:42.851 00:24.533 00:43.421 00:34.897 0 S
15 01:45.838 00:29.198 00:37.899 00:38.741 0 S
16 03:14.419 01:58.338 00:41.093 00:34.988 0 S
17 01:36.256 00:24.346 00:37.769 00:34.141 0 S
18 04:02.974 02:47.927 00:40.645 00:34.402 0 S
19 01:37.224 00:24.845 00:38.718 00:33.661 0 S
20 01:40.916 00:24.016 00:43.438 00:33.462
S
0 S
21 01:40.825 00:24.500 00:37.927 00:38.398 0 S
22 01:42.057
C
00:25.421 00:41.787 00:34.849 1 S
23 02:57.862 01:42.069 00:41.652 00:34.141 0 S
24 01:42.052 00:24.692 00:37.958 00:39.402 0 S
25 01:41.804 00:24.382 00:37.867 00:39.555 0 S
26 01:38.314 00:24.447 00:37.476
S
00:36.391 0 S
27 01:39.204 00:24.566 00:40.105 00:34.533 0 S
28 01:40.979 00:24.128 00:42.422 00:34.429 0 S
29 09:24.915 08:09.121 00:40.621 00:35.173 0 S
30 01:37.861 00:25.550 00:38.016 00:34.295 0 S
31 01:36.099 00:24.179 00:37.962 00:33.958 0 S
32 01:40.160 00:24.227 00:41.383 00:34.550 0 S
33 03:43.684 02:24.376 00:44.770 00:34.538 0 S
34 03:21.291 02:05.861 00:41.171 00:34.259 0 S
35 01:35.624
L
00:23.872
S
00:38.021 00:33.731 0 S
36 01:36.388 00:24.545 00:37.945 00:33.898 0 S
37 02:17.426 01:03.653 00:38.570 00:35.203 1 S
38 01:37.383 00:24.069 00:39.208 00:34.106 0 S
7th Herbert Aeckerle in STM Mercedes C63 2022
Best: 01:41.919, Potential: 01:41.009
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:56.451 01:35.352 00:42.263 00:38.836 1 M
2 01:46.438 00:26.275 00:40.495 00:39.668 0 M
3 01:56.834 00:26.295 00:39.374 00:51.165 0 M
4 01:46.095 00:26.003 00:42.400 00:37.692 0 M
5 01:44.345 00:27.441 00:39.231
S
00:37.673 0 M
6 01:42.323 00:25.427
S
00:40.113 00:36.783 0 M
7 01:41.919
L
00:26.013 00:39.555 00:36.351
S
0 M
8 03:02.754 01:41.295 00:42.169 00:39.290 0 M
9 01:50.204 00:27.913 00:41.751 00:40.540 0 M
10 01:58.847 00:27.372 00:47.790 00:43.685 0 M
11 01:52.943 00:34.689 00:40.396 00:37.858 0 M
12 01:49.501 00:25.644 00:47.299 00:36.558 0 M
13 01:50.404 00:26.294 00:39.879 00:44.231 0 M
14 01:45.130 00:28.077 00:39.487 00:37.566 0 M