SRV Red Bull Ring Layout GP (3xDRS)

03 Jun 22 23:48 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 Horizont Personalmanagement Racing STM Audi RS5 2022 01:27.682
Tyre: S
01:28.958 27 laps / 9 cuts 20 - 31
2 Micro-Machines Sim Racing II STM Mercedes C63 2022 01:28.515
Tyre: H
01:33.125 27 laps / 13 cuts 6 - 85
3 SRV Jägermeister eSport II STM Audi RS5 2022 01:28.549
Tyre: H
01:29.902 10 laps / 6 cuts 11 - 310
4 Micro-Machines Sim Racing I STM Mercedes C63 2022 01:28.763
Tyre: H
01:30.329 46 laps / 10 cuts 16 - 32
5 Horizont Personalmanagement Racing STM BMW M4 2022 01:28.841
Tyre: S
01:33.830 36 laps / 16 cuts 9 - 20
6 MOR eSports STM BMW M4 2022 01:28.978
Tyre: H
01:36.464 27 laps / 6 cuts 10 - 975
7 Bayern Racing STM Mercedes C63 2022 01:33.780
Tyre: H
01:40.933 20 laps / 1 cuts 11 - 20
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 74.1 X: -0.0 Y: -0.3 Z: 2.3 X: -118.2 Y: 6.1 Z: 293.2 19:03:41 (CEST)
2 Collision with environment 13.6 X: -0.9 Y: -0.3 Z: 2.1 X: -138.3 Y: 6.1 Z: 266.7 19:03:46 (CEST)
3 Collision with environment 60.5 X: 0.9 Y: -0.3 Z: -2.1 X: -112.5 Y: 6.1 Z: 301.3 19:08:36 (CEST)
4 Collision with environment 69.9 X: -0.9 Y: -0.4 Z: 2.2 X: 148.0 Y: 18.0 Z: -229.4 19:22:21 (CEST)
5 Collision with environment 36.6 X: 0.9 Y: -0.3 Z: 2.1 X: -67.6 Y: 2.6 Z: 390.6 19:22:22 (CEST)
6 Collision with environment 2.9 X: -1.0 Y: -0.3 Z: 1.8 X: 136.3 Y: 17.3 Z: -218.6 20:13:42 (CEST)
7 Collision with environment 10.4 X: -0.7 Y: -0.3 Z: 2.3 X: -90.4 Y: 5.4 Z: 344.9 20:16:12 (CEST)
8 Collision with environment 22.6 X: -0.7 Y: -0.3 Z: 2.3 X: -237.3 Y: 6.5 Z: 191.4 21:05:36 (CEST)
9 Collision with environment 67.5 X: -0.9 Y: -0.3 Z: 2.2 X: -105.8 Y: 6.1 Z: 311.6 21:14:31 (CEST)
10 Collision with environment 38.7 X: -0.9 Y: -0.3 Z: 2.2 X: -104.0 Y: 6.0 Z: 314.9 21:18:56 (CEST)
11 Collision with environment 9.3 X: -0.8 Y: -0.2 Z: -2.4 X: -105.8 Y: 6.2 Z: 311.5 21:19:01 (CEST)
12 Collision with environment 106.6 X: -0.6 Y: -0.3 Z: 2.2 X: 536.0 Y: -9.9 Z: 217.7 21:25:41 (CEST)
13 Collision with environment 66.0 X: -0.9 Y: -0.3 Z: 2.1 X: 477.3 Y: -10.9 Z: 238.1 21:29:21 (CEST)
14 Collision with environment 2.8 X: -0.8 Y: -0.0 Z: -2.4 X: 443.2 Y: -11.1 Z: 248.1 21:29:26 (CEST)
15 Collision with environment 34.2 X: 0.7 Y: -0.3 Z: 2.3 X: -566.4 Y: 49.7 Z: -358.6 21:31:01 (CEST)
16 Collision with environment 19.3 X: 0.9 Y: -0.3 Z: 2.2 X: -549.3 Y: 53.7 Z: -396.1 21:34:06 (CEST)
17 Collision with environment 63.9 X: -0.9 Y: -0.3 Z: 2.2 X: 481.7 Y: -10.9 Z: 236.7 21:34:56 (CEST)
18 Collision with environment 28.0 X: -0.9 Y: -0.3 Z: 2.2 X: 497.8 Y: -10.6 Z: 232.1 21:38:26 (CEST)
19 Collision with environment 5.5 X: 1.0 Y: -0.4 Z: 1.8 X: -81.9 Y: 4.3 Z: 373.4 21:38:46 (CEST)
20 Collision with environment 56.4 X: 0.9 Y: -0.3 Z: 2.2 X: -157.1 Y: 7.0 Z: 302.4 21:39:23 (CEST)
21 Collision with environment 30.4 X: 0.9 Y: -0.3 Z: 2.1 X: -74.8 Y: 3.5 Z: 385.1 21:41:46 (CEST)
22 Collision with environment 54.9 X: 0.7 Y: -0.3 Z: 2.3 X: -556.1 Y: 50.2 Z: -359.4 21:45:36 (CEST)
23 Collision with environment 22.4 X: -0.9 Y: -0.3 Z: 2.1 X: -118.7 Y: 6.1 Z: 292.5 21:48:01 (CEST)
24 Collision with environment 7.0 X: 0.9 Y: -0.3 Z: 2.1 X: 186.2 Y: -12.4 Z: 320.6 21:48:11 (CEST)
25 Collision with environment 74.9 X: -0.9 Y: -0.4 Z: 2.2 X: -203.9 Y: 5.7 Z: 186.3 22:02:32 (CEST)
26 Collision with environment 51.0 X: 0.7 Y: -0.3 Z: 2.3 X: -281.1 Y: 9.5 Z: 12.2 22:02:37 (CEST)
27 Collision with environment 37.7 X: 0.7 Y: -0.2 Z: 2.2 X: -77.6 Y: 3.8 Z: 381.0 22:03:07 (CEST)
28 Collision with environment 49.0 X: 0.9 Y: -0.3 Z: 2.2 X: -78.3 Y: 3.9 Z: 379.8 22:03:09 (CEST)
29 Collision with environment 12.0 X: 0.9 Y: -0.3 Z: 2.1 X: -571.7 Y: 49.5 Z: -357.7 22:06:44 (CEST)
30 Collision with environment 45.3 X: -0.6 Y: -0.4 Z: 2.3 X: -107.8 Y: 6.0 Z: 308.3 22:11:04 (CEST)
31 Collision with environment 32.2 X: 0.9 Y: -0.4 Z: 2.1 X: -561.4 Y: 49.6 Z: -356.1 22:36:15 (CEST)
32 Collision with environment 6.6 X: 0.9 Y: -0.4 Z: 2.2 X: -562.2 Y: 49.7 Z: -355.5 22:36:20 (CEST)
33 Collision with environment 0.0 X: 0.9 Y: -0.4 Z: 2.2 X: -562.3 Y: 49.5 Z: -355.4 22:36:25 (CEST)
34 Collision with environment 0.0 X: -0.9 Y: -0.4 Z: 2.2 X: -564.1 Y: 49.5 Z: -355.3 22:36:30 (CEST)
35 Collision with environment 0.0 X: 0.7 Y: -0.4 Z: 2.3 X: -562.5 Y: 49.5 Z: -355.2 22:36:35 (CEST)
36 Collision with environment 34.9 X: -0.0 Y: -0.4 Z: 2.4 X: 161.4 Y: -12.2 Z: 313.3 22:37:35 (CEST)
37 Collision with environment 49.3 X: -0.8 Y: -0.0 Z: -2.4 X: -136.1 Y: 3.0 Z: 36.8 22:45:35 (CEST)
38 Collision with environment 69.6 X: -0.6 Y: -0.4 Z: 2.3 X: 148.2 Y: 18.0 Z: -229.6 22:53:40 (CEST)
39 Collision with environment 51.8 X: 0.7 Y: -0.3 Z: 2.3 X: -102.5 Y: 6.0 Z: 317.7 22:54:45 (CEST)
40 Collision with environment 0.1 X: -0.9 Y: -0.3 Z: 2.1 X: -113.5 Y: 6.1 Z: 299.9 22:54:50 (CEST)
41 Collision with environment 31.5 X: 0.9 Y: -0.3 Z: 2.1 X: -81.4 Y: 4.3 Z: 374.4 22:55:05 (CEST)
42 Collision with environment 46.7 X: 0.8 Y: -0.3 Z: -2.4 X: -548.5 Y: 50.8 Z: -361.7 23:02:40 (CEST)
43 Collision with environment 23.0 X: 0.6 Y: -0.4 Z: 2.3 X: -565.0 Y: 49.7 Z: -358.1 23:02:45 (CEST)
Car Env Rel
SRV Red Bull Ring Layout GP (3xDRS) SRV Red Bull Ring Layout GP (3xDRS) collisions

There were no penalties in this session.

1st Thomas Kneissler in STM Audi RS5 2022
Best: 01:27.682, Potential: 01:27.283
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:12.710 00:47.413 00:52.686 00:32.611 1 H
2 01:32.163 00:21.161 00:39.169 00:31.833 0 H
3 01:31.845 00:21.014 00:38.106 00:32.725 0 H
4 01:30.751 00:20.933 00:38.052 00:31.766 0 H
5 01:29.641 00:20.526 00:37.376 00:31.739 0 H
6 01:31.158 00:20.490 00:38.569 00:32.099 0 H
7 01:29.324 00:20.367 00:37.512 00:31.445 0 H
8 01:30.052 00:20.824 00:37.872 00:31.356 1 H
9 03:00.132 01:46.538 00:42.012 00:31.582 1 S
10 01:28.236 00:20.128 00:36.958 00:31.150 0 S
11 02:30.628 01:17.643 00:39.739 00:33.246 1 S
12 01:28.372 00:20.291 00:36.757 00:31.324 0 S
13 01:28.300 00:20.282 00:37.054 00:30.964 0 S
14 03:23.468 02:12.125 00:39.663 00:31.680 1 S
15 01:27.951 00:20.153 00:36.558 00:31.240 0 S
16 01:27.759 00:20.065 00:36.621 00:31.073 0 S
17 02:55.283 01:38.945 00:43.245 00:33.093 1 S
18 03:16.491 02:04.508 00:40.060 00:31.923 1 S
19 01:28.388 00:20.150 00:36.847 00:31.391 0 S
20 01:27.699 00:20.073 00:36.755 00:30.871 0 S
21 01:27.682
L
L
00:20.124 00:36.697 00:30.861
S
S
0 S
22 02:29.527 01:16.681 00:38.304 00:34.542 1 S
23 01:27.747 00:20.125 00:36.378
S
S
00:31.244 0 S
24 02:18.370 01:07.293 00:39.487 00:31.590 1 S
25 01:28.210 00:20.283 00:36.697 00:31.230 0 S
26 01:28.039 00:20.247 00:36.661 00:31.131 0 S
27 01:27.985 00:20.044
S
00:36.752 00:31.189 0 S
2nd Jean Ora in STM Mercedes C63 2022
Best: 01:28.515, Potential: 01:28.497
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:07.449 01:51.583 00:40.320 00:35.546 1 H
2 01:30.549 00:20.983 00:37.796 00:31.770 0 H
3 01:43.167 00:20.479 00:50.427 00:32.261 0 H
4 01:29.540
C
00:20.727 00:37.422 00:31.391 1 H
5 01:29.341 00:20.468 00:37.386 00:31.487 0 H
6 03:26.348 02:14.691 00:39.955 00:31.702 1 H
7 01:30.299 00:20.603 00:38.385 00:31.311 0 H
8 01:28.761 00:20.513 00:36.937
S
00:31.311 0 H
9 01:28.515
L
00:20.304 00:36.954 00:31.257
S
0 H
10 01:48.945 00:20.303
S
00:37.999 00:50.643 0 H
11 01:38.514 00:20.934 00:37.952 00:39.628 1 H
12 03:32.161 02:19.706 00:39.978 00:32.477 1 H
13 01:30.532 00:20.953 00:38.209 00:31.370 0 H
14 03:57.889 02:46.001 00:39.763 00:32.125 1 H
15 01:29.393
C
00:20.710 00:37.490 00:31.193 1 H
16 01:29.399
C
00:20.586 00:37.475 00:31.338 1 H
17 01:31.546 00:20.586 00:39.064 00:31.896 0 H
18 03:43.539 02:20.761 00:51.377 00:31.401 1 H
19 01:58.246 00:48.915 00:38.047 00:31.284 1 H
20 01:30.563 00:20.912 00:37.535 00:32.116 0 H
21 01:30.205 00:20.676 00:37.831 00:31.698 0 H
22 08:18.893 07:07.285 00:39.524 00:32.084 1 H
23 01:43.363 00:20.811 00:50.296 00:32.256 0 H
24 03:11.143 02:00.601 00:38.533 00:32.009 1 H
25 01:28.957 00:20.418 00:37.205 00:31.334 0 H
26 01:28.935
C
00:20.363 00:37.242 00:31.330 1 H
27 01:29.010 00:20.547 00:37.080 00:31.383 0 H
3rd Michael Weimer in STM Audi RS5 2022
Best: 01:28.549, Potential: 01:28.271
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 01:09:38.740 01:08:26.007 00:40.176 00:32.557 3 H
2 01:30.271 00:21.219 00:37.354 00:31.698 1 H
3 04:36.197 03:24.495 00:39.024 00:32.678 1 H
4 01:29.679 00:20.527 00:37.535 00:31.617 0 H
5 01:30.279 00:20.564 00:37.791 00:31.924 0 H
6 01:29.244 00:20.663 00:36.860
S
00:31.721 0 H
7 02:33.208 01:21.716 00:38.907 00:32.585 1 H
8 01:30.991 00:21.115 00:37.606 00:32.270 0 H
9 01:30.671 00:21.205 00:38.088 00:31.378 0 H
10 01:28.549
L
00:20.383
S
00:37.138 00:31.028
S
0 H
4th Klemens Kowall in STM Mercedes C63 2022
Best: 01:28.763, Potential: 01:28.679
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:04.716 02:47.298 00:42.916 00:34.502 1 H
2 01:33.312 00:20.812 00:39.384 00:33.116 0 H
3 01:32.033 00:20.893 00:38.515 00:32.625 0 H
4 03:04.318 01:52.408 00:39.578 00:32.332 1 H
5 01:31.535 00:20.741 00:38.813 00:31.981 0 H
6 01:31.321 00:20.505 00:38.222 00:32.594 0 H
7 01:30.464 00:20.633 00:37.899 00:31.932 0 H
8 01:29.953 00:20.437 00:37.850 00:31.666 0 H
9 01:29.762 00:20.453 00:37.553 00:31.756 0 H
10 01:29.867 00:20.653 00:37.674 00:31.540 0 H
11 01:30.619 00:20.757 00:38.011 00:31.851 0 H
12 01:31.139 00:21.016 00:38.426 00:31.697 0 H
13 01:30.354 00:20.590 00:37.823 00:31.941 0 H
14 01:30.558 00:20.690 00:37.927 00:31.941 0 H
15 01:30.513 00:20.681 00:38.161 00:31.671 0 H
16 01:30.612 00:20.672 00:37.674 00:32.266 0 H
17 01:30.188 00:20.740 00:37.863 00:31.585 0 H
18 01:29.616 00:20.649 00:37.557 00:31.410 0 H
19 01:30.346 00:20.736 00:37.696 00:31.914 0 H
20 01:29.277 00:20.516 00:37.404 00:31.357 0 H
21 01:30.036 00:20.457 00:37.872 00:31.707 0 H
22 01:30.305 00:20.610 00:37.840 00:31.855 0 H
23 01:41.275 00:20.640 00:41.134 00:39.501 1 H
24 03:24.513 02:12.283 00:39.775 00:32.455 1 H
25 01:30.791 00:20.952 00:37.908 00:31.931 0 H
26 01:30.075 00:20.550 00:37.822 00:31.703 0 H
27 01:29.496 00:20.493 00:37.273 00:31.730 0 H
28 01:31.885 00:21.518 00:38.592 00:31.775 1 H
29 01:30.577 00:20.849 00:37.571 00:32.157 0 H
30 01:28.763
L
00:20.233
S
00:37.121
S
00:31.409 0 H
31 01:29.274 00:20.302 00:37.292 00:31.680 0 H
32 01:30.242 00:20.551 00:37.530 00:32.161 0 H
33 01:29.769 00:20.617 00:37.444 00:31.708 0 H
34 01:29.199 00:20.447 00:37.427 00:31.325
S
0 H
35 01:29.729 00:20.574 00:37.588 00:31.567 0 H
36 01:29.224 00:20.293 00:37.593 00:31.338 0 H
37 01:29.681 00:20.706 00:37.359 00:31.616 0 H
38 03:13.197 02:02.016 00:38.996 00:32.185 1 H
39 01:30.279
C
00:20.731 00:37.679 00:31.869 1 H
40 01:31.413 00:20.619 00:38.461 00:32.333 1 H
41 01:09:12.514 01:07:59.619 00:40.099 00:32.796 1 H
42 01:31.693 00:20.949 00:38.609 00:32.135 0 H
43 01:29.740 00:20.499 00:37.741 00:31.500 0 H
44 01:29.555 00:20.386 00:37.210 00:31.959 0 H
45 01:32.230 00:20.896 00:39.659 00:31.675 0 H
46 01:29.367
C
00:20.580 00:37.363 00:31.424 1 H
5th Daniel Amann in STM BMW M4 2022
Best: 01:28.841, Potential: 01:28.210
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:17.202 00:44.875 00:57.092 00:35.235 1 H
2 01:39.774 00:26.784 00:39.838 00:33.152 0 H
3 01:35.444 00:23.800 00:39.155 00:32.489 0 H
4 01:52.317 00:38.872 00:40.388 00:33.057 1 H
5 01:38.234 00:21.784 00:43.947 00:32.503 1 H
6 01:33.503 00:22.345 00:38.763 00:32.395 0 H
7 22:37.454 21:13.795 00:42.592 00:41.067 1 H
8 03:56.774 02:43.308 00:40.792 00:32.674 1 S
9 01:30.286 00:22.066 00:36.904
S
00:31.316
S
0 S
10 02:04.880 00:20.174 01:11.672 00:33.034 0 S
11 01:31.303 00:20.568 00:38.042 00:32.693 0 S
12 03:17.060 02:04.223 00:39.979 00:32.858 1 S
13 01:31.447
C
00:21.782 00:38.044 00:31.621 1 S
14 01:30.253 00:20.256 00:38.061 00:31.936 0 S
15 01:33.192 00:19.990
S
S
00:40.414 00:32.788 0 S
16 01:29.644 00:20.587 00:37.251 00:31.806 0 S
17 01:30.059
C
00:20.768 00:37.666 00:31.625 1 S
18 02:11.974 00:54.030 00:44.491 00:33.453 1 S
19 01:30.312
C
00:20.611 00:37.399 00:32.302 1 S
20 01:33.447
C
00:20.425 00:40.442 00:32.580 1 S
21 01:36.191 00:21.635 00:42.237 00:32.319 0 S
22 01:29.040
C
00:20.752 00:37.201 00:31.087 1 S
23 01:35.296 00:20.798 00:42.922 00:31.576 0 S
24 01:30.181
C
00:20.764 00:38.331 00:31.086 1 S
25 01:31.293 00:20.364 00:38.862 00:32.067 0 S
26 01:31.102 00:21.550 00:37.345 00:32.207 0 S
27 02:26.022 01:06.848 00:46.170 00:33.004 1 S
28 01:31.552 00:21.487 00:38.012 00:32.053 0 S
29 01:32.881 00:22.272 00:37.611 00:32.998 0 S
30 01:30.554 00:20.922 00:37.980 00:31.652 0 S
31 01:29.462
C
00:20.554 00:37.283 00:31.625 1 S
32 01:29.174 00:20.365 00:37.485 00:31.324 0 S
33 01:28.841
L
00:19.991 00:37.337 00:31.513 0 S
34 01:41.986 00:31.543 00:38.399 00:32.044 1 S
35 01:31.675 00:20.588 00:39.313 00:31.774 0 S
36 01:29.762 00:20.818 00:37.467 00:31.477 0 S
6th Lars Maisack in STM BMW M4 2022
Best: 01:28.978, Potential: 01:28.492
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 10:02.487 08:50.608 00:39.884 00:31.995 3 H
2 01:28.978
L
00:20.317
S
00:37.264 00:31.397 0 H
3 01:31.257 00:21.848 00:37.486 00:31.923 0 H
4 01:35.246 00:20.731 00:43.110 00:31.405 0 H
5 01:56.791 00:44.958 00:40.126 00:31.707 0 H
6 01:29.312 00:20.364 00:37.214 00:31.734 0 H
7 01:31.294 00:22.953 00:37.066
S
00:31.275 0 H
8 08:19.380 07:08.837 00:38.520 00:32.023 0 H
9 01:30.306 00:20.434 00:37.886 00:31.986 0 H
10 01:42.905 00:20.456 00:50.436 00:32.013 0 H
11 01:30.228 00:20.369 00:38.016 00:31.843 0 H
12 05:10.343 03:59.172 00:38.911 00:32.260 2 H
13 02:07.505 00:57.206 00:38.071 00:32.228 0 H
14 01:33.355 00:24.415 00:37.193 00:31.747 0 H
15 01:30.005 00:20.499 00:37.529 00:31.977 0 H
16 01:31.037 00:20.496 00:37.628 00:32.913 0 H
17 01:45.276 00:20.824 00:53.343 00:31.109
S
0 H
18 01:32.654 00:20.429 00:40.725 00:31.500 0 H
19 01:31.775 00:22.880 00:37.463 00:31.432 0 H
20 01:37.787 00:20.523 00:42.507 00:34.757 0 H
21 01:29.336 00:20.559 00:37.084 00:31.693 0 H
22 01:55.374 00:43.941 00:39.280 00:32.153 0 H
23 01:29.558 00:20.600 00:37.301 00:31.657 0 H
24 01:29.976 00:20.567 00:37.827 00:31.582 0 H
25 01:36.601 00:20.646 00:42.313 00:33.642 1 H
26 01:32.273 00:20.620 00:39.641 00:32.012 0 H
27 03:33.744 02:21.734 00:39.870 00:32.140 0 H
7th Herbert Aeckerle in STM Mercedes C63 2022
Best: 01:33.780, Potential: 01:32.469
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:33.365 01:06.632 00:45.270 00:41.463 1 H
2 01:50.261 00:23.978 00:46.292 00:39.991 0 H
3 01:54.649 00:23.776 00:46.539 00:44.334 0 H
4 01:44.181 00:24.296 00:43.277 00:36.608 0 H
5 01:47.293 00:21.690 00:46.304 00:39.299 0 H
6 01:52.294 00:23.955 00:47.425 00:40.914 0 H
7 01:48.879 00:24.580 00:45.013 00:39.286 0 H
8 01:46.366 00:23.206 00:44.744 00:38.416 0 H
9 01:37.215 00:21.506 00:40.825 00:34.884 0 H
10 01:35.481 00:20.929 00:40.572 00:33.980 0 H
11 01:37.352 00:21.123 00:40.801 00:35.428 0 H
12 01:35.249 00:21.886 00:40.023 00:33.340 0 H
13 01:34.840 00:20.729 00:40.190 00:33.921 0 H
14 01:44.379 00:29.597 00:40.168 00:34.614 0 H
15 01:36.138 00:21.195 00:40.369 00:34.574 0 H
16 01:34.644 00:21.496 00:39.046
S
00:34.102 0 H
17 01:35.949 00:20.817 00:39.465 00:35.667 0 H
18 01:34.311 00:21.455 00:40.078 00:32.778
S
0 H
19 01:33.780
L
00:20.645
S
00:39.573 00:33.562 0 H
20 01:34.477 00:21.771 00:39.091 00:33.615 0 H