SRV Melbourne 2022 - Layout GP (3xDRS)

25 Jun 22 01:04 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 Thomas Kneissler Horizont Personalmanagement Racing STM Audi RS5 2022 01:43.094
Tyre: S 		01:48.334 41 laps / 7 cuts 18 - 236
2 Jean Ora Micro-Machines Sim Racing II STM Mercedes C63 2022 01:43.621
Tyre: S 		02:15.351 35 laps / 8 cuts 3 - 198
3 Michael Weimer SRV Jägermeister eSport II STM Audi RS5 2022 01:44.214
Tyre: S 		01:45.663 11 laps / 3 cuts 8 - 225
4 Daniel Amann Horizont Personalmanagement Racing STM BMW M4 2022 01:44.713
Tyre: S 		02:03.535 28 laps / 4 cuts 10 - 44
5 Herbert Aeckerle Bayern Racing STM Mercedes C63 2022 01:52.456
Tyre: H 		01:57.679 11 laps / 2 cuts 7 - 172
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Daniel Amann Collision with environment 11.0 X: -0.9 Y: -0.4 Z: 2.2 X: -178.9 Y: 3.1 Z: -827.1 20:08:05 (CEST)
2 Daniel Amann Collision with environment 108.4 X: 0.9 Y: -0.4 Z: 2.2 X: 160.4 Y: 2.7 Z: 737.9 20:13:20 (CEST)
3 Jean Ora Collision with environment 19.7 X: 1.0 Y: -0.4 Z: 1.8 X: 161.5 Y: 2.7 Z: 739.1 20:17:52 (CEST)
4 Jean Ora Collision with environment 2.1 X: 0.9 Y: -0.4 Z: 2.2 X: 66.6 Y: 2.8 Z: 647.8 20:17:57 (CEST)
5 Daniel Amann Collision with environment 136.3 X: -0.6 Y: -0.4 Z: 2.3 X: 518.9 Y: 2.9 Z: 341.5 20:20:25 (CEST)
6 Daniel Amann Collision with environment 6.3 X: -0.8 Y: -0.0 Z: -2.4 X: 521.0 Y: 3.7 Z: 342.9 20:20:30 (CEST)
7 Herbert Aeckerle Collision with environment 4.6 X: 1.0 Y: -0.4 Z: 1.1 X: -519.7 Y: 3.0 Z: -71.3 20:23:46 (CEST)
8 Daniel Amann Collision with environment 9.8 X: 1.0 Y: -0.4 Z: -1.3 X: 157.7 Y: 2.7 Z: 735.0 20:26:15 (CEST)
9 Jean Ora Collision with environment 18.3 X: -0.9 Y: -0.4 Z: -1.9 X: -405.9 Y: 3.1 Z: 8.6 20:26:42 (CEST)
10 Jean Ora Collision with environment 8.1 X: -1.0 Y: -0.4 Z: 1.8 X: -624.1 Y: 2.7 Z: -221.4 20:26:47 (CEST)
11 Jean Ora Collision with environment 3.8 X: -0.9 Y: -0.4 Z: 2.2 X: -627.3 Y: 2.6 Z: -225.6 20:26:52 (CEST)
12 Jean Ora Collision with environment 78.6 X: 0.3 Y: -0.1 Z: 2.3 X: -606.7 Y: 3.5 Z: -559.6 20:30:27 (CEST)
13 Daniel Amann Collision with environment 10.2 X: -1.0 Y: -0.4 Z: 1.8 X: -400.3 Y: 3.0 Z: 13.7 20:36:30 (CEST)
14 Jean Ora Collision with environment 43.1 X: -0.9 Y: -0.3 Z: 1.8 X: -248.3 Y: 2.7 Z: -862.9 20:37:02 (CEST)
15 Daniel Amann Collision with environment 12.2 X: 0.9 Y: -0.4 Z: 2.2 X: -604.8 Y: 3.0 Z: -522.5 20:40:25 (CEST)
16 Jean Ora Collision with environment 60.7 X: -0.9 Y: -0.4 Z: 2.2 X: 143.2 Y: 2.4 Z: 696.6 20:45:07 (CEST)
17 Jean Ora Collision with environment 9.5 X: 0.8 Y: -0.3 Z: -2.4 X: 124.0 Y: 2.7 Z: 678.5 20:45:12 (CEST)
18 Thomas Kneissler Collision with environment 89.4 X: -0.8 Y: -0.3 Z: 2.1 X: -351.4 Y: 2.8 Z: 99.1 20:49:41 (CEST)
19 Jean Ora Collision with environment 20.5 X: 0.9 Y: -0.4 Z: -1.9 X: 127.8 Y: 2.6 Z: 707.0 20:49:42 (CEST)
20 Daniel Amann Collision with environment 3.0 X: 1.0 Y: -0.4 Z: -1.0 X: -607.5 Y: 3.3 Z: -579.8 20:49:51 (CEST)
21 Daniel Amann Collision with environment 40.6 X: -0.9 Y: -0.3 Z: 1.8 X: 420.9 Y: 2.5 Z: 774.5 20:50:51 (CEST)
22 Jean Ora Collision with environment 84.1 X: -0.8 Y: -0.4 Z: 2.3 X: 517.2 Y: 2.9 Z: 340.4 20:54:27 (CEST)
23 Daniel Amann Collision with environment 7.5 X: -0.9 Y: -0.4 Z: 2.2 X: -642.1 Y: 2.8 Z: -416.7 20:56:16 (CEST)
24 Daniel Amann Collision with environment 12.7 X: 1.0 Y: -0.4 Z: 1.8 X: -607.3 Y: 3.3 Z: -573.9 20:58:31 (CEST)
25 Daniel Amann Collision with environment 81.7 X: 0.6 Y: -0.4 Z: 2.3 X: -605.1 Y: 3.0 Z: -528.4 21:03:51 (CEST)
26 Jean Ora Collision with environment 130.4 X: -0.8 Y: -0.4 Z: 2.1 X: 57.4 Y: 3.1 Z: -341.0 21:06:47 (CEST)
27 Jean Ora Collision with environment 3.2 X: -1.0 Y: -0.4 Z: 1.8 X: 13.4 Y: 3.2 Z: -193.0 21:06:52 (CEST)
28 Jean Ora Collision with environment 0.0 X: -1.0 Y: -0.4 Z: 1.8 X: 10.0 Y: 3.3 Z: -120.1 21:06:57 (CEST)
29 Thomas Kneissler Collision with environment 30.6 X: -0.9 Y: -0.3 Z: 2.2 X: -643.0 Y: 2.9 Z: -416.4 21:08:21 (CEST)
30 Thomas Kneissler Collision with environment 36.0 X: -0.9 Y: -0.3 Z: 2.2 X: -663.0 Y: 2.9 Z: -409.5 21:14:26 (CEST)
31 Thomas Kneissler Collision with environment 93.0 X: -0.9 Y: -0.3 Z: 2.2 X: -135.6 Y: 3.2 Z: -815.1 21:17:16 (CEST)
32 Thomas Kneissler Collision with environment 31.3 X: 0.6 Y: -0.3 Z: 2.3 X: -96.8 Y: 3.3 Z: -827.5 21:17:21 (CEST)
33 Jean Ora Collision with environment 72.0 X: -0.7 Y: -0.4 Z: 2.3 X: 123.3 Y: 2.6 Z: 677.8 21:20:22 (CEST)
34 Jean Ora Collision with environment 26.5 X: 0.8 Y: -0.0 Z: -2.4 X: 92.7 Y: 3.0 Z: 648.7 21:20:27 (CEST)
35 Jean Ora Collision with environment 4.7 X: -0.9 Y: -0.4 Z: 2.2 X: 70.1 Y: 2.8 Z: 627.1 21:20:32 (CEST)
36 Jean Ora Collision with environment 83.2 X: -0.9 Y: -0.4 Z: 2.2 X: -180.3 Y: 3.2 Z: -899.8 21:28:52 (CEST)
Car Env Rel
SRV Melbourne 2022 - Layout GP (3xDRS) SRV Melbourne 2022 - Layout GP (3xDRS) collisions

There were no penalties in this session.

1st Thomas Kneissler in STM Audi RS5 2022
Best: 01:43.094, Potential: 01:43.094
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:34.846 01:38.157 00:38.056 01:18.633 1 S
2 02:17.314 01:07.064 00:23.999 00:46.251 0 S
3 01:46.781 00:38.431 00:23.193 00:45.157 0 S
4 01:46.158 00:37.290 00:23.408 00:45.460 0 S
5 01:45.615 00:37.340 00:23.274 00:45.001 0 S
6 01:45.407 00:37.187 00:23.338 00:44.882 0 S
7 01:45.312 00:37.060 00:23.697 00:44.555 0 S
8 01:45.029 00:37.007 00:23.324 00:44.698 0 S
9 01:45.285 00:36.916 00:23.207 00:45.162 0 S
10 01:46.830 00:37.174 00:23.072 00:46.584 0 S
11 01:47.522 00:37.669 00:23.368 00:46.485 0 S
12 01:46.283 00:37.537 00:23.161 00:45.585 0 S
13 01:46.121 00:37.451 00:23.022 00:45.648 0 S
14 01:45.780 00:37.290 00:23.314 00:45.176 0 S
15 02:24.899 00:37.160 00:23.270 01:24.469 1 H
16 01:56.553 00:46.294 00:23.724 00:46.535 1 H
17 01:46.757
C
00:37.880 00:23.234 00:45.643 1 H
18 01:46.905 00:37.501 00:23.220 00:46.184 0 H
19 01:45.624 00:37.178 00:23.193 00:45.253 0 H
20 01:45.506 00:37.323 00:23.049 00:45.134 0 H
21 01:47.422 00:37.514 00:23.500 00:46.408 0 H
22 01:46.530 00:37.670 00:23.243 00:45.617 0 H
23 01:46.542 00:37.660 00:23.049 00:45.833 0 H
24 01:46.182 00:37.435 00:23.324 00:45.423 0 H
25 01:55.569 00:44.396 00:23.724 00:47.449 0 H
26 01:48.202 00:38.024 00:23.274 00:46.904 0 H
27 01:48.609 00:38.679 00:23.553 00:46.377 0 H
28 01:49.034 00:38.627 00:23.855 00:46.552 0 H
29 01:50.658 00:38.829 00:23.877 00:47.952 1 H
30 01:50.376 00:38.286 00:23.876 00:48.214 0 H
31 01:53.458 00:42.182 00:23.967 00:47.309 0 H
32 01:49.778 00:38.472 00:23.962 00:47.344 0 H
33 01:49.361 00:38.927 00:23.882 00:46.552 0 H
34 01:50.216 00:39.067 00:23.927 00:47.222 1 H
35 01:52.633 00:39.913 00:23.850 00:48.870 0 H
36 03:24.935 02:14.601 00:24.939 00:45.395 0 S
37 03:24.622 02:15.957 00:23.400 00:45.265 0 S
38 03:05.558 01:56.938 00:23.751 00:44.869 0 S
39 01:43.872
C
00:36.435 00:23.062 00:44.375 1 S
40 01:43.094
L
L
00:36.319
S
S
00:22.658
S
00:44.117
S
S
0 S
41 01:44.101 00:36.524 00:22.726 00:44.851 0 S
2nd Jean Ora in STM Mercedes C63 2022
Best: 01:43.621, Potential: 01:43.310
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:05.381 01:50.290 00:24.264 00:50.827 1 H
2 01:50.959 00:39.629 00:23.720 00:47.610 0 H
3 01:46.053 00:37.729 00:23.044 00:45.280 0 H
4 01:49.354
C
00:39.312 00:23.049 00:46.993 1 H
5 03:46.076 02:29.500 00:24.485 00:52.091 0 H
6 04:17.655 03:08.395 00:23.854 00:45.406 0 H
7 04:15.789 03:06.898 00:23.396 00:45.495 0 H
8 01:45.614 00:37.241 00:22.888 00:45.485 0 H
9 03:27.817 02:18.274 00:23.805 00:45.738 0 H
10 02:54.349 01:44.747 00:23.526 00:46.076 0 H
11 01:45.459 00:37.594 00:23.022 00:44.843 0 H
12 01:45.187 00:37.125 00:22.931 00:45.131 0 H
13 01:49.972
C
00:37.315 00:26.406 00:46.251 1 H
14 01:45.108 00:37.175 00:22.928 00:45.005 0 H
15 01:45.281
C
00:37.345 00:22.801 00:45.135 1 H
16 01:45.482 00:37.204 00:23.130 00:45.148 0 H
17 04:38.647 03:30.999 00:23.336 00:44.312 0 S
18 01:44.464 00:36.734 00:22.518
S
S
00:45.212 0 S
19 01:42.970
C
00:36.388 00:22.612 00:43.970 1 S
20 01:44.509 00:36.707 00:22.730 00:45.072 0 S
21 03:46.689 02:36.777 00:23.984 00:45.928 0 S
22 01:43.621
L
00:36.611
S
00:22.707 00:44.303 0 S
23 01:45.621 00:37.810 00:23.000 00:44.811 0 S
24 01:46.820 00:37.556 00:24.130 00:45.134 0 S
25 01:44.794
C
00:36.516 00:23.251 00:45.027 1 S
26 01:46.728
C
00:36.667 00:23.828 00:46.233 1 S
27 04:04.781 02:56.291 00:23.922 00:44.568 0 S
28 01:43.880 00:36.799 00:22.644 00:44.437 0 S
29 01:45.451 00:37.852 00:23.418 00:44.181
S
0 S
30 01:44.928 00:37.464 00:22.972 00:44.492 0 S
31 01:46.118 00:37.696 00:23.035 00:45.387 0 S
32 01:45.618 00:37.888 00:22.959 00:44.771 0 S
33 05:58.443 04:49.759 00:23.585 00:45.099 0 S
34 01:45.178 00:36.697 00:22.649 00:45.832 0 S
35 01:47.407
C
00:36.586 00:22.514 00:48.307 1 S
3rd Michael Weimer in STM Audi RS5 2022
Best: 01:44.214, Potential: 01:43.901
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:10.525 01:00.734 00:23.725 00:46.066 1 H
2 01:48.500 00:37.752 00:23.476 00:47.272 0 H
3 01:47.075 00:37.217 00:23.207 00:46.651 0 H
4 15:24.662 14:14.751 00:23.498 00:46.413 0 S
5 01:45.010
C
00:36.943 00:23.053 00:45.014 1 S
6 01:44.630 00:36.541
S
00:23.261 00:44.828 0 S
7 01:45.987 00:37.402 00:23.792 00:44.793 1 S
8 01:44.228 00:36.801 00:22.878 00:44.549
S
0 S
9 19:24.670 18:10.370 00:24.030 00:50.270 0 S
10 01:45.332 00:37.329 00:23.152 00:44.851 0 S
11 01:44.214
L
00:36.817 00:22.811
S
00:44.586 0 S
4th Daniel Amann in STM BMW M4 2022
Best: 01:44.713, Potential: 01:44.274
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:12.714 01:31.702 00:33.053 01:07.959 1 S
2 01:48.418 00:38.983 00:23.630 00:45.805 0 S
3 04:11.177 03:00.500 00:23.945 00:46.732 0 S
4 01:49.803 00:41.272 00:22.995 00:45.536 0 S
5 01:49.260 00:40.531 00:22.986 00:45.743 0 S
6 03:30.356 02:18.330 00:25.127 00:46.899 0 S
7 01:46.540 00:38.203 00:22.990 00:45.347 0 S
8 01:46.552 00:38.309 00:22.802 00:45.441 0 S
9 01:44.721 00:37.256 00:22.770 00:44.695 0 S
10 02:51.895 01:39.918 00:26.401 00:45.576 0 S
11 01:45.247 00:37.126 00:23.090 00:45.031 0 S
12 01:46.503 00:36.969
S
00:22.706
S
00:46.828 0 S
13 01:46.848 00:37.862 00:23.014 00:45.972 0 S
14 01:50.709
C
00:39.087 00:23.750 00:47.872 1 S
15 01:46.991 00:37.925 00:23.234 00:45.832 0 S
16 03:08.417 01:55.617 00:24.777 00:48.023 0 S
17 01:44.713
L
00:37.060 00:23.054 00:44.599
S
0 S
18 02:48.733 01:36.468 00:24.119 00:48.146 0 S
19 01:44.923 00:37.328 00:22.874 00:44.721 0 S
20 01:48.109 00:37.086 00:23.076 00:47.947 0 S
21 02:53.138 01:41.980 00:24.574 00:46.584 0 S
22 01:46.698
C
00:38.162 00:22.779 00:45.757 1 S
23 02:13.451 01:01.348 00:23.161 00:48.942 0 S
24 01:48.835 00:37.812 00:22.855 00:48.168 0 S
25 01:46.079 00:37.639 00:23.351 00:45.089 0 S
26 01:45.766 00:37.182 00:23.255 00:45.329 0 S
27 02:21.503 01:08.712 00:24.506 00:48.285 1 S
28 01:50.072 00:38.396 00:22.874 00:48.802 0 S
5th Herbert Aeckerle in STM Mercedes C63 2022
Best: 01:52.456, Potential: 01:51.489
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:37.251 01:15.431 00:24.827 00:56.993 1 H
2 02:03.452 00:41.994 00:24.768 00:56.690 0 H
3 02:02.384 00:46.546 00:24.462 00:51.376 0 H
4 01:55.306 00:42.442 00:24.737 00:48.127 0 H
5 01:56.627 00:42.085 00:23.728
S
00:50.814 0 H
6 02:02.398 00:49.390 00:24.439 00:48.569 0 H
7 01:54.054 00:39.813
S
00:26.135 00:48.106 0 H
8 03:09.530 01:56.770 00:24.637 00:48.123 0 H
9 01:57.101
C
00:42.582 00:23.894 00:50.625 1 H
10 01:54.757 00:41.088 00:24.331 00:49.338 0 H
11 01:52.456
L
00:40.649 00:23.859 00:47.948
S
0 H