Sepang Msr V2

12 Jan 23 07:09 PST
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# Name Car Qualifying Time Average Lap Laps
1 Gaskun BMW M3 E30 Gr.A 92 02:18.366
Tyre: M 		02:18.826 7 laps / 7 cuts
2 MasterSeth Mercedes-Benz 190E EVO II 02:18.740
Tyre: S 		02:19.813 22 laps / 16 cuts
3 Gaskun Mercedes-Benz 190E EVO II 02:18.916
Tyre: M 		02:31.838 19 laps / 5 cuts
4 Najib Nazak BMW M3 E30 Gr.A 92 02:18.987
Tyre: S 		02:31.401 19 laps / 26 cuts
5 jensen chu BMW M3 E30 Gr.A 92 02:19.021
Tyre: M 		02:27.731 20 laps / 17 cuts
6 DhaneshWig BMW M3 E30 Gr.A 92 02:19.461
Tyre: S 		02:20.726 8 laps / 15 cuts
7 Weng/Victoria BMW M3 E30 Gr.A 92 02:19.500
Tyre: M 		02:21.289 16 laps / 6 cuts
8 DarrenLiveGaming Mercedes-Benz 190E EVO II 02:21.262
Tyre: M 		02:22.171 5 laps / 0 cuts
9 Super G Mercedes-Benz 190E EVO II 02:21.402
Tyre: S 		02:23.833 19 laps / 9 cuts
10 DarrenLiveGaming BMW M3 E30 Gr.A 92 02:21.542
Tyre: M 		03:00.556 12 laps / 5 cuts
11 Ahmad Maslan Mercedes-Benz 190E EVO II 02:22.271
Tyre: M 		02:23.651 11 laps / 16 cuts
12 Your Best Tandem Partner Mercedes-Benz 190E EVO II 02:22.345
Tyre: S 		02:26.189 10 laps / 7 cuts
13 ZakiAzeman Mercedes-Benz 190E EVO II 02:22.597
Tyre: M 		02:23.807 19 laps / 38 cuts
14 Max Palmer BMW M3 E30 Gr.A 92 02:22.892
Tyre: M 		02:24.265 6 laps / 6 cuts
15 Spine_X696 BMW M3 E30 Gr.A 92 02:25.041
Tyre: M 		02:25.041 2 laps / 3 cuts
16 Pijul Mercedes-Benz 190E EVO II 02:25.451
Tyre: M 		02:26.180 10 laps / 13 cuts
17 Ken Miles BMW M3 E30 Gr.A 92 02:26.240
Tyre: M 		02:26.576 7 laps / 12 cuts
18 Fudinz fb.com/FudinZ86 BMW M3 E30 Gr.A 92 02:27.655
Tyre: M 		02:27.655 6 laps / 14 cuts
19 Abu Logitech G29 Forcefeedback Mercedes-Benz 190E EVO II 02:30.774
Tyre: M 		02:31.487 13 laps / 13 cuts
20 Javier Alvarez BMW M3 E30 Gr.A 92 08:13.012
Tyre: S 		00:00.000 2 laps / 2 cuts
# Driver Other Driver Type Impact Speed Relative Position World Position Show on Map
1 DarrenLiveGaming ZakiAzeman Collision with car 36.5 Km/h X: -0.8 Y: -0.1 Z: 1.8 X: 313.9 Y: 3.2 Z: -6.3
2 ZakiAzeman DarrenLiveGaming Collision with car 46.3 Km/h X: 0.7 Y: -0.1 Z: 2.0 X: 314.3 Y: 3.2 Z: -6.4
3 DarrenLiveGaming ZakiAzeman Collision with car 6.0 Km/h X: -0.6 Y: 0.3 Z: -1.5 X: 308.4 Y: 3.4 Z: -5.1
4 jensen chu Super G Collision with car 79.4 Km/h X: 0.8 Y: -0.1 Z: -1.8 X: -490.4 Y: 4.4 Z: 57.2
5 Super G jensen chu Collision with car 108.7 Km/h X: -0.7 Y: -0.3 Z: 1.9 X: -489.9 Y: 4.3 Z: 57.1
6 Super G Fudinz fb.com/FudinZ86 Collision with car 7.0 Km/h X: 0.8 Y: -0.2 Z: -2.1 X: -498.4 Y: 4.8 Z: 60.7
7 Super G Collision with environment 25.7 Km/h X: -0.7 Y: -0.3 Z: 2.0 X: -539.8 Y: 4.5 Z: 46.2
8 Your Best Tandem Partner Collision with environment 25.1 Km/h X: 0.9 Y: -0.0 Z: 1.6 X: 4.4 Y: 3.9 Z: -507.9
9 ZakiAzeman Collision with environment 35.9 Km/h X: -0.7 Y: -0.1 Z: 2.0 X: 140.7 Y: 6.2 Z: 238.2
10 ZakiAzeman Abu Logitech G29 Forcefeedback Collision with car 30.4 Km/h X: -0.8 Y: -0.4 Z: -1.8 X: -464.2 Y: 2.9 Z: 221.8
11 Abu Logitech G29 Forcefeedback ZakiAzeman Collision with car 24.5 Km/h X: 0.8 Y: -0.4 Z: 2.0 X: -464.1 Y: 2.9 Z: 221.8
12 Najib Nazak Collision with environment 38.1 Km/h X: 0.7 Y: -0.1 Z: 1.9 X: -24.5 Y: 6.8 Z: -391.4
13 Weng/Victoria Collision with environment 30.0 Km/h X: -0.0 Y: -0.1 Z: 2.0 X: -16.2 Y: 7.8 Z: -364.8
14 ZakiAzeman Abu Logitech G29 Forcefeedback Collision with car 2.9 Km/h X: -0.8 Y: 0.0 Z: 0.7 X: 70.6 Y: 2.9 Z: 215.6
15 Super G Collision with environment 41.0 Km/h X: 0.8 Y: -0.4 Z: 2.0 X: -529.2 Y: -2.2 Z: -73.9
16 Weng/Victoria Pijul Collision with car 19.6 Km/h X: 0.8 Y: -0.3 Z: -0.4 X: -483.9 Y: 1.9 Z: -2.8
17 Pijul Weng/Victoria Collision with car 9.7 Km/h X: -0.9 Y: -0.0 Z: 1.5 X: -484.0 Y: 2.2 Z: -2.7
18 Gaskun Pijul Collision with car 16.9 Km/h X: -0.7 Y: -0.3 Z: 1.9 X: -479.4 Y: 0.9 Z: -22.9
19 Pijul Gaskun Collision with car 21.3 Km/h X: 0.8 Y: -0.2 Z: 0.2 X: -479.3 Y: 1.1 Z: -22.6
20 Fudinz fb.com/FudinZ86 Collision with environment 30.4 Km/h X: -0.7 Y: 0.2 Z: -2.3 X: -232.8 Y: -4.3 Z: -381.0
21 ZakiAzeman Collision with environment 47.7 Km/h X: -0.8 Y: -0.4 Z: 2.0 X: 398.5 Y: 4.5 Z: 113.6
22 ZakiAzeman Collision with environment 38.5 Km/h X: 0.8 Y: -0.4 Z: -1.9 X: 122.9 Y: 4.7 Z: 225.5
23 MasterSeth Your Best Tandem Partner Collision with car 13.1 Km/h X: 0.2 Y: -0.1 Z: -2.4 X: -462.8 Y: 1.7 Z: 276.5
24 Your Best Tandem Partner MasterSeth Collision with car 11.2 Km/h X: 0.0 Y: -0.1 Z: 2.0 X: -463.0 Y: 1.7 Z: 276.2
25 Ahmad Maslan Collision with environment 24.3 Km/h X: 0.0 Y: -0.4 Z: 2.1 X: 366.4 Y: 4.2 Z: 115.5
26 Abu Logitech G29 Forcefeedback Collision with environment 202.1 Km/h X: 0.8 Y: -0.4 Z: 2.0 X: -634.5 Y: 5.1 Z: 74.2
27 jensen chu Your Best Tandem Partner Collision with car 66.8 Km/h X: -0.8 Y: -0.3 Z: -0.6 X: 543.7 Y: 5.2 Z: 120.8
28 Your Best Tandem Partner jensen chu Collision with car 65.7 Km/h X: -0.8 Y: -0.4 Z: 1.9 X: 543.7 Y: 5.2 Z: 120.9
29 jensen chu Collision with environment 53.2 Km/h X: 0.0 Y: -0.1 Z: 2.0 X: -160.1 Y: 2.9 Z: 20.9
30 Your Best Tandem Partner Collision with environment 18.9 Km/h X: 0.8 Y: -0.4 Z: 2.0 X: 541.5 Y: 5.9 Z: -49.3
31 Weng/Victoria Your Best Tandem Partner Collision with car 5.6 Km/h X: 0.8 Y: 0.1 Z: -0.9 X: 531.7 Y: 5.6 Z: 123.0
32 Your Best Tandem Partner Weng/Victoria Collision with car 9.8 Km/h X: -0.9 Y: -0.0 Z: 1.5 X: 531.9 Y: 5.6 Z: 122.9
33 Ahmad Maslan Collision with environment 57.2 Km/h X: -0.7 Y: -0.1 Z: 2.0 X: 372.0 Y: 4.5 Z: 115.0
34 MasterSeth Your Best Tandem Partner Collision with car 12.4 Km/h X: -0.8 Y: -0.0 Z: 1.6 X: -559.5 Y: 4.8 Z: 48.9
35 Your Best Tandem Partner MasterSeth Collision with car 10.2 Km/h X: 0.8 Y: -0.1 Z: -1.4 X: -559.5 Y: 4.8 Z: 48.9
36 Abu Logitech G29 Forcefeedback MasterSeth Collision with car 4.9 Km/h X: 0.8 Y: -0.4 Z: -1.6 X: -277.8 Y: 2.9 Z: 14.1
37 DarrenLiveGaming jensen chu Collision with car 6.8 Km/h X: 0.8 Y: 0.2 Z: -1.8 X: -550.2 Y: 5.0 Z: 58.5
38 jensen chu DarrenLiveGaming Collision with car 7.8 Km/h X: -0.9 Y: -0.0 Z: 1.6 X: -552.1 Y: 4.9 Z: 57.8
39 DarrenLiveGaming jensen chu Collision with car 7.8 Km/h X: -0.9 Y: -0.0 Z: 1.6 X: -498.5 Y: 3.1 Z: 3.1
40 jensen chu DarrenLiveGaming Collision with car 11.0 Km/h X: 0.8 Y: 0.0 Z: -1.6 X: -498.6 Y: 3.1 Z: 3.2
41 Pijul Collision with environment 34.3 Km/h X: 0.7 Y: -0.0 Z: -2.4 X: -552.1 Y: -4.2 Z: -116.6
42 Ahmad Maslan Collision with environment 27.1 Km/h X: 0.8 Y: -0.4 Z: 2.0 X: 376.5 Y: 3.1 Z: 7.8
43 DhaneshWig Collision with environment 20.8 Km/h X: 0.8 Y: 0.3 Z: -1.8 X: 278.5 Y: 3.1 Z: 13.7
44 Abu Logitech G29 Forcefeedback DhaneshWig Collision with car 8.4 Km/h X: -0.5 Y: -0.1 Z: -2.4 X: 543.5 Y: 5.6 Z: 111.3
45 Ken Miles Collision with environment 27.3 Km/h X: -0.7 Y: -0.4 Z: 1.9 X: 123.4 Y: 10.5 Z: 390.1
46 Spine_X696 Collision with environment 61.4 Km/h X: -0.7 Y: -0.4 Z: 1.9 X: -250.0 Y: -5.4 Z: -374.5
47 Spine_X696 Collision with environment 25.0 Km/h X: -0.7 Y: 0.0 Z: 1.9 X: -202.4 Y: -3.1 Z: -392.2
48 DhaneshWig Abu Logitech G29 Forcefeedback Collision with car 10.0 Km/h X: -0.3 Y: -0.1 Z: -2.3 X: -464.0 Y: 1.9 Z: 267.9
49 Abu Logitech G29 Forcefeedback DhaneshWig Collision with car 6.6 Km/h X: -0.6 Y: -0.1 Z: 2.0 X: -464.4 Y: 2.0 Z: 267.1
50 DhaneshWig Collision with environment 28.5 Km/h X: 0.7 Y: -0.1 Z: 1.9 X: -561.4 Y: -5.5 Z: -145.8
51 MasterSeth Gaskun Collision with car 17.1 Km/h X: 0.8 Y: -0.3 Z: -2.1 X: 83.3 Y: 3.6 Z: 226.1
52 Gaskun MasterSeth Collision with car 2.2 Km/h X: -0.8 Y: -0.4 Z: 2.0 X: 84.2 Y: 3.6 Z: 226.4
53 Super G Abu Logitech G29 Forcefeedback Collision with car 17.8 Km/h X: 0.0 Y: -0.3 Z: 2.1 X: 536.9 Y: 5.3 Z: 118.5
54 Abu Logitech G29 Forcefeedback Super G Collision with car 19.9 Km/h X: 0.1 Y: -0.3 Z: -2.4 X: 537.1 Y: 5.3 Z: 118.5
55 Abu Logitech G29 Forcefeedback Collision with environment 51.6 Km/h X: -0.8 Y: -0.4 Z: 2.0 X: 425.4 Y: 4.7 Z: 111.8
56 Spine_X696 Collision with environment 24.2 Km/h X: -0.7 Y: -0.1 Z: 1.9 X: -476.1 Y: -9.8 Z: -260.7
57 ZakiAzeman Najib Nazak Collision with car 4.8 Km/h X: 0.7 Y: -0.1 Z: -2.4 X: 401.4 Y: 4.0 Z: 4.2
58 Najib Nazak ZakiAzeman Collision with car 3.3 Km/h X: -0.2 Y: -0.1 Z: 2.0 X: 400.9 Y: 4.0 Z: 3.9
59 Ahmad Maslan Collision with environment 32.6 Km/h X: 0.8 Y: -0.4 Z: 2.0 X: -344.5 Y: 3.0 Z: 207.2
60 Spine_X696 Collision with environment 64.5 Km/h X: 0.7 Y: -0.1 Z: 1.9 X: -213.7 Y: -3.3 Z: -428.7
61 Gaskun MasterSeth Collision with car 3.3 Km/h X: -0.7 Y: -0.1 Z: -2.4 X: -49.0 Y: 2.9 Z: -467.6
62 Spine_X696 Collision with environment 14.2 Km/h X: 0.8 Y: 0.2 Z: -0.8 X: -120.8 Y: 0.5 Z: -453.8
63 Pijul Collision with environment 2.4 Km/h X: -0.8 Y: -0.4 Z: 2.0 X: 6.9 Y: 2.9 Z: -9.9
64 Najib Nazak Collision with environment 55.3 Km/h X: 0.8 Y: -0.3 Z: -1.8 X: 301.2 Y: 2.6 Z: 12.1
65 Javier Alvarez Collision with environment 37.6 Km/h X: -0.7 Y: -0.4 Z: 1.9 X: 6.8 Y: 8.8 Z: 374.3
Car Env Rel
sepang_msr_v2 sepang_msr_v2 collisions
1st Gaskun in BMW M3 E30 Gr.A 92
Best: 02:18.366, Potential: 02:18.366
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:46.469 00:59.928 00:50.404 00:56.137 1 M
2 02:19.268 00:34.261 00:49.523 00:55.484 1 M
3 03:43.050 01:57.614 00:50.009 00:55.427 2 M
4 02:18.887 00:34.190 00:49.685 00:55.012 1 M
5 02:22.562 00:35.417 00:49.320 00:57.825 2 M
6 02:19.287 00:34.328 00:50.009 00:54.950 0 M
7 02:18.366
L
L
00:34.141
S
S
00:49.748
S
00:54.477
S
S
0 M
2nd MasterSeth in Mercedes-Benz 190E EVO II
Best: 02:18.740, Potential: 02:18.399
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:30.298 00:43.499 00:50.823 00:55.976 0 M
2 02:22.313 00:35.052 00:51.156 00:56.105 1 M
3 05:56.479 04:10.545 00:50.517 00:55.417 3 M
4 02:22.763 00:35.223 00:50.598 00:56.942 1 M
5 02:20.313 00:34.531 00:50.062 00:55.720 0 M
6 02:47.246 01:01.379 00:50.589 00:55.278 1 S
7 02:23.795 00:34.670 00:53.631 00:55.494 1 S
8 02:19.692 00:34.526 00:49.797 00:55.369 0 S
9 02:19.509 00:34.640 00:49.212
S
S
00:55.657 0 S
10 04:00.984 02:15.184 00:50.733 00:55.067 2 S
11 02:19.378 00:34.735 00:49.698 00:54.945
S
0 S
12 02:20.540 00:34.566 00:50.224 00:55.750 0 S
13 02:19.242 00:34.661 00:49.478 00:55.103 0 S
14 02:22.551 00:34.807 00:51.611 00:56.133 2 S
15 04:20.307 02:31.785 00:51.637 00:56.885 1 M
16 02:20.714 00:35.248 00:49.513 00:55.953 1 M
17 02:20.664 00:34.733 00:50.040 00:55.891 0 M
18 02:21.898 00:35.621 00:49.951 00:56.326 1 M
19 03:38.777 01:53.918 00:49.716 00:55.143 1 S
20 02:24.642 00:37.879 00:51.116 00:55.647 1 S
21 02:20.242 00:34.686 00:49.531 00:56.025 0 S
22 02:18.740
L
00:34.242
S
00:49.284 00:55.214 0 S
3rd Gaskun in Mercedes-Benz 190E EVO II
Best: 02:18.916, Potential: 02:18.601
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:36.571 02:50.407 00:50.197 00:55.967 0 M
2 02:21.332 00:35.609 00:50.437 00:55.286 0 M
3 02:37.075 00:50.799 00:50.921 00:55.355 0 M
4 02:20.378 00:34.727 00:49.744 00:55.907 0 M
5 02:19.098 00:34.553 00:49.383 00:55.162 0 M
6 02:19.509 00:34.528 00:49.505 00:55.476 0 M
7 05:43.624 03:55.475 00:51.849 00:56.300 0 M
8 02:18.916
L
00:34.606 00:49.392 00:54.918 0 M
9 02:23.686
C
00:38.733 00:49.823 00:55.130 1 M
10 02:18.966 00:34.435
S
00:49.253
S
00:55.278 0 M
11 02:19.284 00:34.694 00:49.505 00:55.085 0 M
12 02:19.653
C
00:34.848 00:49.405 00:55.400 2 M
13 02:19.301 00:34.717 00:49.671 00:54.913
S
0 M
14 02:19.152 00:34.724 00:49.433 00:54.995 0 M
4th Najib Nazak in BMW M3 E30 Gr.A 92
Best: 02:18.987, Potential: 02:18.987
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:12.292 03:23.036 00:50.778 00:58.478 5 M
2 03:48.101 02:00.385 00:50.657 00:57.059 1 M
3 02:22.337 00:35.116 00:50.845 00:56.376 0 M
4 02:20.322 00:35.130 00:49.796 00:55.396 0 M
5 02:22.897
C
00:36.337 00:50.693 00:55.867 2 M
6 05:47.946 03:16.507 01:25.388 01:06.051 3 M
7 02:36.204 00:48.401 00:51.103 00:56.700 0 M
8 02:20.296
C
00:34.884 00:50.125 00:55.287 1 M
9 03:13.406 01:25.744 00:52.142 00:55.520 2 M
10 03:03.872 01:17.223 00:50.985 00:55.664 2 M
11 03:29.311 01:42.899 00:50.770 00:55.642 0 M
12 04:31.445 02:42.415 00:50.616 00:58.414 2 M
13 02:20.952 00:34.842 00:50.030 00:56.080 0 M
14 02:20.904 00:34.956 00:49.760 00:56.188 0 M
15 02:22.195 00:35.072 00:51.229 00:55.894 0 M
16 03:10.401 01:23.859 00:50.238 00:56.304 2 S
17 02:18.987
L
00:34.798
S
00:49.469
S
00:54.720
S
0 S
18 03:38.051 01:51.968 00:49.959 00:56.124 3 S
19 02:25.389
C
00:34.702 00:49.446 01:01.241 3 S
5th jensen chu in BMW M3 E30 Gr.A 92
Best: 02:19.021, Potential: 02:18.684
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:38.276 02:49.367 00:52.916 00:55.993 2 M
2 02:21.235 00:34.887 00:51.326 00:55.022 0 M
3 02:20.648 00:35.115 00:50.516 00:55.017 0 M
4 04:05.676 02:13.864 00:51.107 01:00.705 3 M
5 06:23.282 04:36.668 00:51.201 00:55.413 3 M
6 02:19.970
C
00:34.810 00:50.125 00:55.035 1 M
7 02:19.781 00:34.454 00:49.888 00:55.439 0 M
8 02:20.717 00:34.666 00:49.756 00:56.295 0 M
9 02:22.234
C
00:36.691 00:49.968 00:55.575 2 M
10 04:24.659 02:28.249 00:50.976 01:05.434 2 M
11 02:20.826
C
00:34.594 00:50.706 00:55.526 1 M
12 02:20.377 00:35.522 00:49.689 00:55.166 0 M
13 02:19.272 00:34.655 00:49.689 00:54.928
S
0 M
14 02:20.705
C
00:34.762 00:49.856 00:56.087 1 M
15 02:19.611
C
00:34.590 00:49.981 00:55.040 1 M
16 03:37.161 01:51.676 00:50.017 00:55.468 0 M
17 02:21.335
C
00:34.460 00:50.432 00:56.443 1 M
18 02:19.021
L
00:34.364 00:49.577 00:55.080 0 M
19 02:19.667 00:34.250 00:50.130 00:55.287 0 M
20 02:19.435 00:34.229
S
00:49.527
S
00:55.679 0 M
6th DhaneshWig in BMW M3 E30 Gr.A 92
Best: 02:19.461, Potential: 02:19.203
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:26.823 03:38.292 00:52.199 00:56.332 3 S
2 04:52.859 03:03.833 00:52.290 00:56.736 6 S
3 05:16.668 03:26.850 00:52.825 00:56.993 3 S
4 02:20.152 00:34.910 00:49.915 00:55.327
S
0 S
5 03:52.124 02:05.033 00:50.806 00:56.285 3 S
6 02:21.239 00:34.639 00:50.342 00:56.258 0 S
7 02:22.054 00:34.725 00:51.448 00:55.881 0 S
8 02:19.461
L
00:34.412
S
00:49.464
S
00:55.585 0 S
7th Weng/Victoria in BMW M3 E30 Gr.A 92
Best: 02:19.500, Potential: 02:19.243
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 06:39.236 04:50.579 00:51.552 00:57.105 2 M
2 02:23.067 00:35.962 00:50.962 00:56.143 0 M
3 02:21.704 00:34.901 00:51.256 00:55.547 0 M
4 02:20.479 00:34.666 00:49.720 00:56.093 0 M
5 02:21.040 00:34.615 00:50.017 00:56.408 0 M
6 04:51.668 03:05.743 00:50.094 00:55.831 0 M
7 02:21.897 00:35.503 00:50.481 00:55.913 0 M
8 07:47.999 05:59.279 00:52.344 00:56.376 2 M
9 04:55.639 03:09.894 00:49.913 00:55.832 1 M
10 02:20.604 00:34.701 00:50.318 00:55.585 0 M
11 02:21.462 00:34.326 00:51.835 00:55.301 1 M
12 02:19.500
L
00:34.375
S
00:49.329
S
00:55.796 0 M
13 02:19.977 00:34.852 00:49.586 00:55.539
S
0 M
14 02:21.561 00:34.397 00:50.896 00:56.268 0 M
15 02:20.346 00:34.703 00:49.721 00:55.922 0 M
16 02:24.004 00:34.469 00:50.005 00:59.530 0 M
8th DarrenLiveGaming in Mercedes-Benz 190E EVO II
Best: 02:21.262, Potential: 02:20.919
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:21.659 01:32.678 00:52.363 00:56.618 0 M
2 02:23.454 00:35.787 00:50.881 00:56.786 0 M
3 02:22.424 00:35.419 00:50.742 00:56.263 0 M
4 02:21.262
L
00:35.282 00:50.050
S
00:55.930
S
0 M
5 02:21.544 00:34.939
S
00:50.225 00:56.380 0 M
9th Super G in Mercedes-Benz 190E EVO II
Best: 02:21.402, Potential: 02:21.049
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:03.290 01:10.732 00:52.862 00:59.696 0 M
2 03:22.615 01:31.776 00:52.928 00:57.911 1 M
3 02:24.545 00:35.060 00:52.758 00:56.727 0 M
4 02:36.090 00:48.611 00:50.846 00:56.633 1 M
5 02:24.998 00:36.018 00:52.127 00:56.853 0 M
6 02:22.495 00:35.040 00:50.688 00:56.767 0 M
7 02:25.522 00:35.727 00:52.470 00:57.325 0 M
8 02:25.130 00:35.182 00:51.777 00:58.171 0 M
9 06:08.044 04:19.198 00:51.826 00:57.020 1 S
10 02:22.853 00:35.078 00:50.860 00:56.915 0 S
11 02:21.402
L
00:35.197 00:50.179
S
00:56.026 0 S
12 02:22.794 00:35.064 00:51.075 00:56.655 0 S
13 02:21.673 00:34.938 00:50.773 00:55.962
S
0 S
14 04:48.478 02:59.988 00:51.560 00:56.930 2 M
15 02:28.006 00:34.908
S
00:55.925 00:57.173 0 M
16 02:23.699 00:35.236 00:51.341 00:57.122 0 M
17 02:22.886 00:35.057 00:50.635 00:57.194 0 M
18 05:07.771 03:16.833 00:53.361 00:57.577 2 M
19 02:28.605 00:37.563 00:53.649 00:57.393 2 M
10th DarrenLiveGaming in BMW M3 E30 Gr.A 92
Best: 02:21.542, Potential: 02:21.037
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:57.839
C
01:02.009 00:51.219 01:04.611 1 M
2 02:24.659
C
00:36.812 00:51.053 00:56.794 1 M
3 03:49.417 02:00.193 00:52.376 00:56.848 1 M
4 02:22.178 00:35.574 00:50.813 00:55.791
S
0 M
5 04:13.393 02:25.028 00:51.026 00:57.339 0 M
6 02:22.354 00:35.690 00:50.576 00:56.088 0 M
7 03:37.094 01:46.917 00:53.910 00:56.267 0 M
8 02:22.284 00:35.008
S
00:50.238
S
00:57.038 0 M
9 02:21.542
L
00:35.036 00:50.554 00:55.952 0 M
10 02:23.327 00:36.191 00:50.760 00:56.376 0 M
11 04:57.204 03:07.790 00:51.427 00:57.987 2 M
12 04:22.277 02:34.754 00:51.076 00:56.447 0 M
11th Ahmad Maslan in Mercedes-Benz 190E EVO II
Best: 02:22.271, Potential: 02:21.406
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:32.293 01:28.448 00:56.251 01:07.594 1 S
2 02:25.481 00:35.934 00:52.605 00:56.942 0 S
3 07:02.561 05:08.010 00:50.886 01:03.665 6 S
4 02:23.589 00:35.845 00:50.863 00:56.881 0 S
5 02:25.656 00:35.153
S
00:50.900 00:59.603 0 S
6 02:22.388 00:35.486 00:50.949 00:55.953 0 S
7 12:09.120 10:21.749 00:50.738 00:56.633 3 S
8 02:22.524 00:35.676 00:50.327
S
00:56.521 0 S
9 11:49.425 09:58.801 00:53.744 00:56.880 5 M
10 02:22.271
L
00:35.203 00:51.142 00:55.926
S
0 M
11 02:23.593
C
00:35.238 00:51.506 00:56.849 1 M
12th Your Best Tandem Partner in Mercedes-Benz 190E EVO II
Best: 02:22.345, Potential: 02:22.029
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:16.367 01:26.144 00:53.731 00:56.492 1 M
2 02:28.372 00:37.200 00:54.540 00:56.632 1 M
3 03:44.438 01:53.748 00:52.893 00:57.797 1 M
4 02:23.265 00:35.426 00:51.201
S
00:56.638 0 M
5 02:27.294 00:37.431 00:53.019 00:56.844 0 M
6 02:27.581 00:34.915 00:51.372 01:01.294 1 M
7 04:37.023 02:48.051 00:52.694 00:56.278 3 S
8 02:32.765 00:34.879 00:52.605 01:05.281 0 S
9 02:25.276 00:34.918 00:52.970 00:57.388 0 S
10 02:22.345
L
00:34.808
S
00:51.517 00:56.020
S
0 S
13th ZakiAzeman in Mercedes-Benz 190E EVO II
Best: 02:22.597, Potential: 02:22.019
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:59.118 00:56.484 00:55.093 01:07.541 5 M
2 02:47.094 00:36.166 01:00.138 01:10.790 3 M
3 02:27.672 00:37.656 00:52.190 00:57.826 1 M
4 02:23.910 00:35.388 00:51.777 00:56.745 0 M
5 02:41.198 00:34.920 01:06.501 00:59.777 4 M
6 02:30.186 00:38.730 00:51.947 00:59.509 2 M
7 04:13.539 02:22.276 00:53.766 00:57.497 5 H
8 03:30.698 01:39.584 00:53.987 00:57.127 2 M
9 02:24.493 00:34.725
S
00:52.172 00:57.596 0 M
10 02:22.597
L
00:34.961 00:51.368 00:56.268
S
0 M
11 02:36.398 00:35.888 00:57.740 01:02.770 1 M
12 06:12.845 04:21.912 00:53.815 00:57.118 2 M
13 02:55.403 00:53.444 01:04.989 00:56.970 3 M
14 03:17.665 01:27.307 00:52.231 00:58.127 2 M
15 02:28.285 00:34.773 00:56.214 00:57.298 2 M
16 03:49.672 01:45.314 01:05.583 00:58.775 4 M
17 02:24.230 00:35.123 00:51.026
S
00:58.081 0 M
18 02:23.251
C
00:34.909 00:51.007 00:57.335 1 M
19 02:23.542
C
00:34.935 00:51.196 00:57.411 1 M
14th Max Palmer in BMW M3 E30 Gr.A 92
Best: 02:22.892, Potential: 02:22.208
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:04.857 01:17.270 00:51.355 00:56.232 1 M
2 02:25.638 00:34.721
S
00:52.687 00:58.230 0 M
3 02:26.493 00:38.839 00:51.903 00:55.751 3 M
4 02:30.903 00:42.763 00:50.747 00:57.393 1 M
5 02:39.435 00:34.771 00:51.557 01:13.107 1 M
6 02:22.892
L
00:35.405 00:50.265
S
00:57.222
S
0 M
15th Spine_X696 in BMW M3 E30 Gr.A 92
Best: 02:25.041, Potential: 02:25.041
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:20.143 01:29.142 00:53.784 00:57.217 3 M
2 02:25.041
L
00:35.394
S
00:51.295
S
00:58.352
S
0 M
16th Pijul in Mercedes-Benz 190E EVO II
Best: 02:25.451, Potential: 02:24.849
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:33.852 03:40.749 00:54.427 00:58.676 1 M
2 02:26.205 00:37.736 00:52.106 00:56.363 1 M
3 02:36.158 00:35.819 01:01.624 00:58.715 2 M
4 02:25.604 00:35.310
S
00:52.249 00:58.045 0 M
5 02:25.451
L
00:35.481 00:51.938
S
00:58.032 0 M
6 02:28.273 00:35.723 00:52.137 01:00.413 2 M
7 04:36.881 02:30.490 01:03.733 01:02.658 3 M
8 04:12.605 02:18.859 00:54.653 00:59.093 3 M
9 02:27.486 00:35.683 00:54.202 00:57.601
S
0 M
10 03:50.765 01:56.695 00:52.614 01:01.456 1 M
17th Ken Miles in BMW M3 E30 Gr.A 92
Best: 02:26.240, Potential: 02:26.145
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:37.873 01:43.487 00:55.522 00:58.864 0 M
2 08:29.253 06:36.824 00:52.493 00:59.936 4 M
3 02:34.133 00:41.372 00:54.190 00:58.571 1 M
4 08:19.251 06:16.828 01:03.828 00:58.595 6 M
5 02:36.136 00:36.085 00:52.974 01:07.077 1 M
6 02:26.913 00:36.185 00:52.605
S
00:58.123 0 M
7 02:26.240
L
00:35.810
S
00:52.700 00:57.730
S
0 M
18th Fudinz fb.com/FudinZ86 in BMW M3 E30 Gr.A 92
Best: 02:27.655, Potential: 02:27.655
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:54.405 00:59.321 00:53.784 01:01.300 2 M
2 02:57.979 00:38.699 01:02.497 01:16.783 3 M
3 02:27.655
L
00:36.856
S
00:52.785
S
00:58.014
S
0 M
4 02:35.953 00:36.037 00:56.110 01:03.806 3 M
5 06:36.955 04:45.828 00:52.604 00:58.523 5 S
6 02:28.002 00:36.249 00:53.261 00:58.492 1 S
19th Abu Logitech G29 Forcefeedback in Mercedes-Benz 190E EVO II
Best: 02:30.774, Potential: 02:27.997
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:00.544 01:07.581 00:53.550
S
00:59.413 0 M
2 02:42.069 00:39.380 00:54.397 01:08.292 1 M
3 02:32.334 00:37.755 00:54.274 01:00.305 0 M
4 02:31.587 00:36.238 00:54.598 01:00.751 1 M
5 04:10.964 02:16.359 00:54.940 00:59.665 2 M
6 02:31.234 00:36.619 00:55.242 00:59.373 0 M
7 05:53.071 03:56.706 00:56.380 00:59.985 2 M
8 02:31.210 00:36.388
S
00:53.919 01:00.903 0 M
9 03:53.713 01:59.787 00:54.369 00:59.557 3 M
10 02:30.774
L
00:36.865 00:55.850 00:58.059
S
0 M
11 02:30.038
C
00:36.031 00:55.143 00:58.864 1 M
12 04:05.162 02:11.600 00:54.163 00:59.399 3 M
13 02:31.886 00:37.065 00:54.566 01:00.255 0 M
20th Javier Alvarez in BMW M3 E30 Gr.A 92
Best: 08:13.012, Potential: 08:13.012
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 08:13.012
L
06:21.952
S
00:53.888
S
00:57.172
S
0 S
2 02:28.884 00:35.101 00:51.395 01:02.388 2 S

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