SRV Melbourne 2022 - Layout GP (3xDRS)

22 Jun 22 23:04 CEST
Back to Results
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 01:42.623
Tyre: H
01:52.376 26 laps / 1 cuts 3 - 10
2 BMS Racing STM Mercedes AMG C63 2022 01:42.870
Tyre: S
02:13.808 26 laps / 9 cuts 21 - 28
3 CRM Motorsport STM BMW M4 2022 01:43.072
Tyre: S
01:45.075 12 laps / 1 cuts 11 - 114
4 Stiftung Plankentest I STM Audi RS5 2022 01:44.084
Tyre: H
02:23.607 24 laps / 4 cuts 13 - 32
5 SRV Jägermeister eSport I STM Audi RS5 2022 01:45.596
Tyre: H
02:43.937 14 laps / 4 cuts 10 - 18
6 Horizont Personalmanagement Racing STM BMW M4 2022 01:46.450
Tyre: S
02:16.218 19 laps / 6 cuts 11 - 44
7 SRV Jägermeister eSport II STM Audi RS5 2022 01:46.714
Tyre: H
03:13.644 13 laps / 4 cuts 8 - 19
8 Bayern Racing STM Mercedes AMG C63 2022 01:52.377
Tyre: S
02:01.584 11 laps / 3 cuts 7 - 27
9 Safety-Car SRV Audi R8 LMS SAFETY CAR 01:54.658
Tyre: S
01:54.658 2 laps / 1 cuts 12 - 19
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 4.7 X: 1.0 Y: -0.3 Z: -1.0 X: -607.3 Y: 3.3 Z: -573.5 18:55:47 (CEST)
2 Collision with environment 60.1 X: 0.9 Y: -0.3 Z: 2.1 X: -605.2 Y: 3.1 Z: -531.7 18:57:37 (CEST)
3 Collision with environment 17.8 X: 0.7 Y: -0.3 Z: 2.3 X: 301.4 Y: 3.1 Z: 742.2 19:08:08 (CEST)
4 Collision with environment 7.3 X: 0.7 Y: -0.3 Z: 2.3 X: 301.4 Y: 3.1 Z: 742.4 19:08:13 (CEST)
5 Collision with environment 6.9 X: -1.0 Y: -0.3 Z: -1.2 X: -655.7 Y: 2.9 Z: -412.1 19:09:13 (CEST)
6 Collision with environment 100.7 X: -0.8 Y: -0.3 Z: 2.1 X: 139.2 Y: 2.5 Z: 692.9 19:17:03 (CEST)
7 Collision with car 60.3 X: 1.0 Y: -0.3 Z: 1.8 X: -207.1 Y: 2.1 Z: 360.5 19:18:03 (CEST)
8 Collision with environment 51.0 X: -0.7 Y: -0.3 Z: 2.2 X: -215.1 Y: 2.1 Z: 347.8 19:18:03 (CEST)
9 Collision with car 119.5 X: -0.8 Y: -0.3 Z: -2.2 X: -207.2 Y: 2.1 Z: 360.4 19:18:04 (CEST)
10 Collision with environment 19.1 X: -0.9 Y: -0.4 Z: 2.2 X: -651.9 Y: 2.8 Z: -413.4 19:23:09 (CEST)
11 Collision with environment 12.6 X: -1.0 Y: -0.3 Z: 1.5 X: 91.1 Y: 3.2 Z: 92.5 19:23:11 (CEST)
12 Collision with environment 78.6 X: 0.7 Y: -0.3 Z: 2.3 X: -164.8 Y: 2.9 Z: -868.1 19:24:44 (CEST)
13 Collision with environment 22.2 X: -0.9 Y: -0.3 Z: -1.9 X: -655.2 Y: 2.9 Z: -412.3 19:25:51 (CEST)
14 Collision with environment 21.0 X: -0.9 Y: -0.3 Z: -1.9 X: -637.4 Y: 2.8 Z: -418.3 19:25:54 (CEST)
15 Collision with environment 48.1 X: 0.7 Y: -0.4 Z: 2.3 X: 721.9 Y: 4.1 Z: 842.8 19:30:09 (CEST)
16 Collision with environment 23.3 X: -1.0 Y: -0.4 Z: 1.8 X: 192.6 Y: 3.4 Z: 186.8 19:31:11 (CEST)
17 Collision with environment 4.1 X: 1.0 Y: -0.4 Z: 1.8 X: -605.9 Y: 3.2 Z: -544.2 19:32:21 (CEST)
18 Collision with environment 18.6 X: -1.0 Y: -0.3 Z: 1.8 X: -248.3 Y: 2.7 Z: -862.9 19:34:52 (CEST)
19 Collision with environment 72.4 X: -0.6 Y: -0.4 Z: 2.3 X: -135.4 Y: 3.1 Z: -815.2 19:36:11 (CEST)
20 Collision with environment 47.3 X: 0.9 Y: -0.3 Z: 2.2 X: -167.5 Y: 2.9 Z: -872.8 19:36:42 (CEST)
21 Collision with environment 32.1 X: 0.8 Y: 0.1 Z: -2.2 X: -168.9 Y: 3.5 Z: -875.2 19:36:47 (CEST)
22 Collision with environment 22.9 X: -0.9 Y: -0.3 Z: 2.2 X: -396.9 Y: 3.0 Z: 17.0 19:39:52 (CEST)
23 Collision with environment 33.6 X: 0.7 Y: -0.4 Z: 2.3 X: -610.1 Y: 2.5 Z: -502.8 19:40:36 (CEST)
24 Collision with environment 60.1 X: 0.7 Y: -0.3 Z: 2.3 X: -435.1 Y: 3.2 Z: -793.7 19:42:07 (CEST)
25 Collision with environment 44.2 X: -0.9 Y: -0.4 Z: 2.2 X: -349.4 Y: 2.7 Z: 116.5 19:43:01 (CEST)
26 Collision with environment 6.8 X: 1.0 Y: -0.4 Z: -0.6 X: -607.7 Y: 3.3 Z: -584.3 19:45:41 (CEST)
27 Collision with environment 21.6 X: -1.0 Y: -0.4 Z: 1.7 X: -248.3 Y: 2.7 Z: -862.9 19:48:08 (CEST)
28 Collision with environment 32.5 X: -0.9 Y: -0.4 Z: 2.2 X: -91.6 Y: 3.3 Z: -828.4 19:48:13 (CEST)
29 Collision with environment 37.9 X: -0.8 Y: -0.0 Z: -2.4 X: -86.6 Y: 3.7 Z: -827.6 19:48:18 (CEST)
30 Collision with environment 6.2 X: 0.9 Y: -0.4 Z: -1.7 X: -417.7 Y: 2.7 Z: 22.2 19:51:05 (CEST)
31 Collision with environment 64.3 X: 1.0 Y: -0.3 Z: 1.8 X: -524.7 Y: 3.8 Z: -743.2 19:53:01 (CEST)
32 Collision with environment 27.7 X: 0.9 Y: -0.3 Z: 2.2 X: 299.9 Y: 3.1 Z: 743.2 19:53:05 (CEST)
33 Collision with environment 122.8 X: -0.9 Y: -0.4 Z: 2.2 X: 513.5 Y: 2.8 Z: 338.1 19:54:05 (CEST)
34 Collision with environment 13.0 X: -0.7 Y: -0.4 Z: 2.3 X: 557.4 Y: 3.3 Z: 344.1 19:54:10 (CEST)
35 Collision with environment 16.5 X: 1.0 Y: -0.4 Z: -1.7 X: -604.8 Y: 3.0 Z: -523.7 19:55:05 (CEST)
36 Collision with environment 4.8 X: -0.9 Y: -0.4 Z: 2.2 X: -8.2 Y: 3.1 Z: 549.6 19:58:43 (CEST)
37 Collision with environment 2.8 X: -0.9 Y: -0.3 Z: 2.2 X: -350.5 Y: 2.8 Z: 105.9 19:59:11 (CEST)
38 Collision with environment 5.4 X: 1.0 Y: -0.4 Z: 1.8 X: -607.7 Y: 3.3 Z: -584.3 19:59:12 (CEST)
39 Collision with environment 7.8 X: 1.0 Y: -0.4 Z: -1.0 X: 156.9 Y: 2.7 Z: 734.2 20:00:10 (CEST)
40 Collision with environment 32.0 X: -0.7 Y: -0.3 Z: 2.3 X: -661.6 Y: 3.0 Z: -410.0 20:03:50 (CEST)
41 Collision with environment 70.3 X: -0.8 Y: -0.4 Z: 2.2 X: -350.9 Y: 2.8 Z: 103.0 20:07:07 (CEST)
42 Collision with environment 9.8 X: -0.6 Y: -0.4 Z: 2.3 X: -673.1 Y: 2.8 Z: -407.3 20:08:56 (CEST)
43 Collision with environment 9.3 X: 1.0 Y: -0.4 Z: 1.8 X: 156.2 Y: 2.7 Z: 733.5 20:09:27 (CEST)
44 Collision with environment 12.9 X: -1.0 Y: -0.4 Z: 1.8 X: 110.8 Y: 2.6 Z: 666.0 20:09:32 (CEST)
45 Collision with environment 12.6 X: -0.9 Y: -0.4 Z: -1.9 X: -432.9 Y: 3.0 Z: -14.7 20:09:43 (CEST)
46 Collision with car 31.9 X: 0.9 Y: -0.4 Z: 0.6 X: -596.1 Y: 2.8 Z: -486.6 20:16:55 (CEST)
47 Collision with car 30.6 X: -0.9 Y: -0.3 Z: 2.2 X: -596.2 Y: 2.8 Z: -486.8 20:16:56 (CEST)
48 Collision with environment 9.9 X: -1.0 Y: -0.4 Z: 0.2 X: 211.2 Y: 3.4 Z: 202.3 20:17:26 (CEST)
49 Collision with environment 66.1 X: 0.3 Y: -0.2 Z: 2.2 X: 621.0 Y: 4.0 Z: 411.7 20:17:36 (CEST)
50 Collision with environment 20.5 X: 1.0 Y: -0.4 Z: 1.8 X: 159.2 Y: 2.7 Z: 736.6 20:18:10 (CEST)
51 Collision with environment 91.3 X: -0.7 Y: -0.4 Z: 2.3 X: 511.9 Y: 3.0 Z: 337.2 20:19:30 (CEST)
52 Collision with car 70.7 X: 0.7 Y: -0.3 Z: 2.2 X: 726.1 Y: 3.6 Z: 816.0 20:21:43 (CEST)
53 Collision with car 72.2 X: 1.0 Y: -0.4 Z: 0.5 X: 726.1 Y: 3.6 Z: 816.1 20:21:45 (CEST)
54 Collision with environment 24.3 X: 0.9 Y: -0.4 Z: 2.2 X: 710.9 Y: 4.2 Z: 841.6 20:21:45 (CEST)
55 Collision with environment 16.7 X: -0.9 Y: -0.4 Z: 2.2 X: -646.0 Y: 2.9 Z: -415.4 20:25:27 (CEST)
56 Collision with environment 14.0 X: 0.9 Y: -0.4 Z: 2.2 X: -345.3 Y: 2.9 Z: 141.6 20:26:15 (CEST)
57 Collision with environment 68.7 X: 0.8 Y: -0.3 Z: 2.2 X: -163.9 Y: 2.9 Z: -866.4 20:27:16 (CEST)
58 Collision with environment 61.9 X: 0.9 Y: -0.3 Z: 1.8 X: 534.8 Y: 3.6 Z: 321.8 20:30:48 (CEST)
59 Collision with environment 27.5 X: -0.8 Y: -0.4 Z: 2.2 X: -546.3 Y: 3.6 Z: -701.1 20:59:57 (CEST)
60 Collision with environment 8.2 X: -0.9 Y: -0.4 Z: 2.2 X: -531.9 Y: 3.6 Z: -713.0 21:00:02 (CEST)
61 Collision with environment 74.0 X: -0.1 Y: -0.3 Z: 2.5 X: 365.9 Y: 3.5 Z: 217.9 21:21:29 (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 Pascal Hein in STM BMW M4 2022
Best: 01:42.623, Potential: 01:42.560
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:16.907 02:08.741 00:23.225 00:44.941 1 H
2 01:44.371 00:37.420 00:22.725 00:44.226 0 H
3 01:43.532 00:36.816 00:22.662 00:44.054 0 H
4 01:43.219 00:36.471 00:22.644 00:44.104 0 H
5 01:45.778 00:36.789 00:24.389 00:44.600 0 H
6 02:27.948 01:18.620 00:23.180 00:46.148 0 H
7 01:44.917 00:37.898 00:22.748 00:44.271 0 H
8 02:57.494 01:49.626 00:23.265 00:44.603 0 H
9 01:42.967 00:36.385 00:22.640 00:43.942 0 H
10 01:42.813 00:36.312 00:22.598
S
00:43.903 0 H
11 03:15.579 02:08.060 00:23.220 00:44.299 0 H
12 03:42.191 02:34.304 00:23.346 00:44.541 0 H
13 01:43.552 00:36.894 00:22.702 00:43.956 0 H
14 01:43.235 00:36.563 00:22.676 00:43.996 0 H
15 01:45.262 00:36.488 00:24.602 00:44.172 0 H
16 01:43.222 00:36.478 00:22.693 00:44.051 0 H
17 01:43.663 00:37.049 00:22.635 00:43.979 0 H
18 02:56.711 01:48.487 00:23.692 00:44.532 0 H
19 01:43.169 00:36.480 00:22.652 00:44.037 0 H
20 02:50.066 01:41.761 00:23.449 00:44.856 0 H
21 01:43.156 00:36.583 00:22.747 00:43.826 0 H
22 01:42.975 00:36.406 00:22.603 00:43.966 0 H
23 04:04.224 02:56.512 00:23.179 00:44.533 0 H
24 01:43.189 00:36.522 00:22.643 00:44.024 0 H
25 01:42.623
L
L
00:36.231
S
S
00:22.661 00:43.731
S
S
0 H
26 01:43.548 00:36.565 00:22.630 00:44.353 0 H
2nd Fred Dohnke in STM Mercedes AMG C63 2022
Best: 01:42.870, Potential: 01:42.806
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:55.976 02:46.461 00:23.588 00:45.927 1 S
2 01:44.974 00:37.119 00:22.815 00:45.040 0 S
3 01:43.879
C
00:36.586 00:22.864 00:44.429 1 S
4 03:34.358 02:20.145 00:22.806 00:51.407 0 S
5 02:58.095 01:48.353 00:24.737 00:45.005 0 S
6 01:45.025
C
00:37.134 00:22.567 00:45.324 1 S
7 02:41.146 01:32.116 00:24.048 00:44.982 0 S
8 02:19.406 01:11.682 00:23.084 00:44.640 0 S
9 01:50.086
C
00:36.417 00:27.791 00:45.878 1 S
10 01:46.287 00:37.760 00:22.636 00:45.891 0 S
11 01:46.713 00:36.728 00:22.879 00:47.106 0 S
12 02:55.436 01:46.402 00:23.818 00:45.216 0 S
13 01:43.700 00:36.633 00:22.567 00:44.500 0 S
14 01:43.012 00:36.340 00:22.455 00:44.217 0 S
15 01:44.846
C
00:36.582 00:22.707 00:45.557 1 S
16 03:01.335 01:53.281 00:23.481 00:44.573 0 S
17 01:44.183 00:36.985 00:22.739 00:44.459 0 S
18 01:45.397
C
00:36.686 00:24.328 00:44.383 1 S
19 01:43.803 00:36.550 00:22.450 00:44.803 0 S
20 05:03.565 03:55.475 00:22.690 00:45.400 0 S
21 01:43.118
C
00:36.051 00:22.472 00:44.595 1 S
22 01:43.314
C
00:36.425 00:22.667 00:44.222 1 S
23 01:42.870
L
00:36.386 00:22.365
S
S
00:44.119
S
0 S
24 02:32.279 01:24.006 00:23.355 00:44.918 0 S
25 01:43.331 00:36.322
S
00:22.504 00:44.505 0 S
26 01:43.890
C
00:36.804 00:22.774 00:44.312 1 S
3rd Uemit Zobu in STM BMW M4 2022
Best: 01:43.072, Potential: 01:42.824
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:05.143 02:55.897 00:23.755 00:45.491 1 S
2 01:44.766 00:37.437 00:22.797 00:44.532 0 S
3 01:48.513 00:36.989 00:22.465
S
00:49.059 0 S
4 01:46.740 00:38.231 00:22.784 00:45.725 0 S
5 01:45.111 00:36.949 00:22.707 00:45.455 0 S
6 04:13.075 03:03.635 00:24.111 00:45.329 0 S
7 01:44.045 00:36.689 00:22.644 00:44.712 0 S
8 01:43.475 00:36.340
S
00:22.549 00:44.586 0 S
9 03:35.305 02:26.446 00:23.180 00:45.679 0 S
10 01:44.298 00:36.942 00:22.706 00:44.650 0 S
11 01:43.072
L
00:36.441 00:22.612 00:44.019
S
0 S
12 01:45.661 00:38.327 00:22.600 00:44.734 0 S
4th Tim Quoos in STM Audi RS5 2022
Best: 01:44.084, Potential: 01:43.845
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:20.857 03:10.247 00:23.913 00:46.697 1 H
2 02:37.996 01:27.027 00:23.885 00:47.084 0 H
3 01:47.276 00:37.887 00:23.233 00:46.156 0 H
4 04:37.859 03:26.696 00:24.377 00:46.786 0 H
5 01:45.734 00:37.145 00:22.955 00:45.634 0 H
6 01:44.407 00:36.880 00:22.729
S
00:44.798 0 H
7 02:26.606 01:15.920 00:23.823 00:46.863 0 H
8 02:33.943 01:20.903 00:24.337 00:48.703 0 H
9 01:48.950 00:36.968 00:23.045 00:48.937 0 H
10 01:45.420 00:36.997 00:23.233 00:45.190 0 H
11 01:44.679 00:36.746
S
00:23.094 00:44.839 0 H
12 04:09.488 02:59.082 00:24.412 00:45.994 0 H
13 02:56.286 01:46.540 00:23.616 00:46.130 0 H
14 01:44.084
L
00:36.872 00:22.842 00:44.370
S
0 H
15 04:21.196 03:11.144 00:23.279 00:46.773 0 H
16 01:45.549
C
00:37.585 00:22.833 00:45.131 1 H
17 01:46.461
C
00:38.312 00:22.730 00:45.419 1 H
18 04:19.794 03:09.720 00:24.191 00:45.883 0 H
19 01:49.475
C
00:38.983 00:23.351 00:47.141 1 H
20 01:45.820 00:36.804 00:23.485 00:45.531 0 H
21 03:31.821 02:22.530 00:23.593 00:45.698 0 H
22 03:42.511 02:32.532 00:24.349 00:45.630 0 H
23 01:44.320 00:36.969 00:22.787 00:44.564 0 H
24 04:40.922 03:30.578 00:23.752 00:46.592 0 H
5th Eileen Weimer in STM Audi RS5 2022
Best: 01:45.596, Potential: 01:45.461
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:49.555 02:39.886 00:23.391 00:46.278 1 H
2 01:46.885 00:37.814 00:22.914 00:46.157 0 H
3 03:45.878 02:35.058 00:24.376 00:46.444 0 H
4 01:46.684 00:37.740 00:22.968 00:45.976 0 H
5 07:05.390 05:56.243 00:23.203 00:45.944 0 H
6 01:45.780 00:37.465 00:22.923 00:45.392
S
0 H
7 05:04.780 03:56.006 00:22.991 00:45.783 0 H
8 01:46.035 00:37.572 00:22.900
S
00:45.563 0 H
9 01:45.596
L
00:37.169
S
00:22.906 00:45.521 0 H
10 03:14.582 02:04.787 00:23.909 00:45.886 0 H
11 02:49.845 01:39.833 00:23.769 00:46.243 1 H
12 01:48.058
C
00:37.948 00:23.585 00:46.525 1 H
13 03:39.214 02:29.802 00:23.175 00:46.237 0 H
14 01:48.685
C
00:38.656 00:24.233 00:45.796 1 H
6th Daniel Amann in STM BMW M4 2022
Best: 01:46.450, Potential: 01:46.450
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:38.180 01:16.244 00:30.556 00:51.380 1 H
2 01:56.021
C
00:40.732 00:24.404 00:50.885 1 H
3 01:57.043 00:40.223 00:28.319 00:48.501 0 H
4 02:37.213 01:23.661 00:24.813 00:48.739 1 H
5 02:02.936 00:38.894 00:23.832 01:00.210 0 H
6 01:52.106 00:39.949 00:23.548 00:48.609 0 H
7 05:40.486 04:26.979 00:24.111 00:49.396 0 H
8 03:41.203 02:28.843 00:24.282 00:48.078 0 H
9 01:54.567 00:43.228 00:23.540 00:47.799 0 H
10 01:51.302
C
00:39.672 00:23.611 00:48.019 1 H
11 01:51.863 00:40.512 00:23.355 00:47.996 0 H
12 02:57.685 01:46.329 00:24.106 00:47.250 0 S
13 04:50.463 03:40.461 00:23.890 00:46.112 0 S
14 01:51.734
C
00:41.908 00:22.770 00:47.056 1 S
15 01:46.450
L
00:38.037
S
00:22.940
S
00:45.473
S
0 S
16 02:49.570 01:39.293 00:23.378 00:46.899 0 S
17 01:53.027
C
00:42.774 00:23.503 00:46.750 1 S
18 05:57.109 04:42.234 00:24.174 00:50.701 0 S
19 01:48.757 00:38.490 00:23.165 00:47.102 0 S
7th Michael Weimer in STM Audi RS5 2022
Best: 01:46.714, Potential: 01:46.363
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:18.080 03:04.298 00:25.043 00:48.739 1 H
2 02:50.543 01:40.240 00:23.621 00:46.682 0 H
3 18:55.661 17:43.770 00:24.371 00:47.520 1 H
4 01:48.416 00:38.347 00:23.692 00:46.377 0 H
5 18:02.216 16:50.198 00:25.772 00:46.246 0 H
6 01:52.080
C
00:40.619 00:23.702 00:47.759 1 H
7 01:48.202 00:38.146 00:23.603 00:46.453 0 H
8 01:47.898
C
00:37.909 00:23.625 00:46.364 1 H
9 01:47.509 00:37.930 00:23.364 00:46.215 0 H
10 12:13.339 11:02.370 00:24.066 00:46.903 0 H
11 01:47.385 00:37.977 00:23.242 00:46.166 0 H
12 01:47.050 00:38.358 00:23.084
S
00:45.608
S
0 H
13 01:46.714
L
00:37.671
S
00:23.390 00:45.653 0 H
8th Herbert Aeckerle in STM Mercedes AMG C63 2022
Best: 01:52.377, Potential: 01:51.495
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:56.963 01:40.266 00:26.104 00:50.593 1 S
2 01:58.560 00:44.246 00:24.489 00:49.825 0 S
3 01:59.470 00:44.676 00:24.052 00:50.742 0 S
4 01:52.479 00:40.632 00:23.939 00:47.908
S
0 S
5 02:22.559 01:05.646 00:25.316 00:51.597 1 S
6 02:31.922 01:10.050 00:30.284 00:51.588 0 S
7 01:52.377
L
00:39.791
S
00:23.796
S
00:48.790 0 S
8 05:37.833 04:18.565 00:26.636 00:52.632 0 S
9 02:23.577 00:43.294 00:27.571 01:12.712 1 S
10 02:00.123 00:44.225 00:24.606 00:51.292 0 S
11 01:56.158 00:41.368 00:24.750 00:50.040 0 S
9th Ralph Wentland in SRV Audi R8 LMS SAFETY CAR
Best: 01:54.658, Potential: 01:54.658
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:57.188 01:41.377 00:25.906 00:49.905 1 S
2 01:54.658
L
00:40.962
S
00:24.723
S
00:48.973
S
0 S