Sepang 46 Pits

19 Nov 23 17:36 EST
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 Car Best Practice Lap Average Lap Laps Ping
1 A. Skofic Bayro EGT 02:01.935
Tyre: S 		02:02.763 6 laps / 2 cuts 137 - 148
2 froli Darche EGT 2021 02:03.058
Tyre: S 		02:04.103 6 laps / 3 cuts 1 - 4
3 A. Skofic Michigan EGT 02:03.125
Tyre: S 		02:04.146 4 laps / 2 cuts 139 - 143
4 A. Skofic Detroit EGT 02:03.168
Tyre: S 		02:03.168 4 laps / 3 cuts 140 - 154
5 froli Bayro EGT 02:03.293
Tyre: S 		02:06.204 10 laps / 5 cuts 1 - 4
6 froli AMR EGT 02:03.449
Tyre: S 		02:13.834 19 laps / 11 cuts 1 - 6
7 maxtvn AMR EGT 02:03.683
Tyre: S 		02:06.189 19 laps / 21 cuts 117 - 128
8 maxtvn Darche EGT 2021 02:04.517
Tyre: S 		02:05.016 7 laps / 2 cuts 115 - 129
9 maxtvn Detroit EGT 02:05.027
Tyre: S 		02:08.498 7 laps / 9 cuts 116 - 122
10 A. Skofic Darche EGT 2021 02:08.041
Tyre: S 		02:08.041 2 laps / 0 cuts 134 - 147
11 A. Skofic AMR EGT 05:04.770
Tyre: S 		05:04.770 3 laps / 4 cuts 137 - 161
12 maxtvn Bayro EGT 277:46:39.999
Tyre: ? 		00:00.000 1 laps / 2 cuts 119 - 187
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 maxtvn Collision with environment 30.3 X: -0.9 Y: 0.0 Z: -1.9 X: 212.5 Y: 3.1 Z: -191.7 13:37:23 (EST)
2 maxtvn Collision with environment 17.8 X: 0.6 Y: -0.3 Z: 2.4 X: 132.4 Y: 9.5 Z: 334.3 13:38:23 (EST)
3 maxtvn Collision with environment 31.3 X: 0.7 Y: -0.3 Z: 2.2 X: -547.2 Y: 4.1 Z: 36.6 15:33:25 (EST)
4 maxtvn Collision with environment 8.1 X: -0.9 Y: 0.6 Z: -2.1 X: -379.1 Y: 3.7 Z: 31.8 15:33:45 (EST)
5 maxtvn Collision with environment 51.2 X: 0.6 Y: 0.5 Z: -2.3 X: -310.4 Y: 3.4 Z: 31.9 15:33:50 (EST)
6 maxtvn Collision with environment 3.9 X: 1.0 Y: 0.3 Z: -1.0 X: -227.0 Y: 3.1 Z: 25.8 15:33:55 (EST)
7 maxtvn Collision with environment 4.1 X: 1.0 Y: 0.3 Z: -1.0 X: -225.6 Y: 3.1 Z: 25.7 15:34:00 (EST)
8 maxtvn Collision with environment 9.7 X: 1.0 Y: -0.3 Z: 1.8 X: -185.3 Y: 2.9 Z: 4.1 15:34:05 (EST)
9 A. Skofic Collision with environment 10.6 X: -1.0 Y: -0.4 Z: 1.6 X: -318.8 Y: 2.3 Z: 23.4 15:36:00 (EST)
10 A. Skofic Collision with environment 0.0 X: -1.0 Y: 0.3 Z: 0.9 X: -337.5 Y: 3.1 Z: 27.3 15:36:05 (EST)
11 maxtvn froli Collision with car 2.4 X: -0.2 Y: -0.3 Z: -2.4 X: -116.2 Y: 2.5 Z: 33.4 15:53:25 (EST)
12 maxtvn froli Collision with car 0.8 X: -0.3 Y: -0.3 Z: -2.4 X: -266.0 Y: 2.4 Z: 46.1 15:53:30 (EST)
13 froli A. Skofic Collision with car 20.0 X: -0.7 Y: -0.2 Z: 2.1 X: 88.1 Y: 0.9 Z: 167.1 15:54:33 (EST)
14 A. Skofic froli Collision with car 19.7 X: -0.4 Y: -0.3 Z: -2.4 X: 87.5 Y: 0.8 Z: 167.5 15:54:34 (EST)
15 maxtvn froli Collision with car 3.9 X: -0.9 Y: 0.1 Z: -2.0 X: 102.2 Y: 2.9 Z: 14.0 15:55:30 (EST)
16 froli maxtvn Collision with car 31.6 X: -0.7 Y: -0.3 Z: 2.2 X: 2.0 Y: 2.5 Z: 19.3 15:55:33 (EST)
17 maxtvn froli Collision with car 33.2 X: 0.9 Y: -0.3 Z: 0.4 X: 2.4 Y: 2.5 Z: 19.2 15:55:35 (EST)
18 maxtvn Collision with environment 75.2 X: -0.7 Y: -0.3 Z: 2.1 X: -87.6 Y: 2.6 Z: 17.5 15:55:35 (EST)
19 A. Skofic maxtvn Collision with car 17.2 X: -0.3 Y: -0.3 Z: -2.4 X: -365.8 Y: 2.8 Z: 34.3 15:56:04 (EST)
20 maxtvn A. Skofic Collision with car 4.2 X: -0.0 Y: -0.2 Z: 2.3 X: -365.9 Y: 2.8 Z: 34.3 15:56:05 (EST)
21 maxtvn A. Skofic Collision with car 13.6 X: 1.0 Y: -0.1 Z: 1.7 X: 413.5 Y: 4.2 Z: 17.6 15:58:05 (EST)
22 froli A. Skofic Collision with car 6.8 X: -0.2 Y: -0.3 Z: -2.4 X: -42.4 Y: 2.5 Z: 24.6 16:00:23 (EST)
23 A. Skofic froli Collision with car 8.8 X: -0.0 Y: -0.3 Z: 2.3 X: -44.7 Y: 2.5 Z: 24.8 16:00:24 (EST)
24 froli maxtvn Collision with car 19.1 X: -1.0 Y: -0.3 Z: 1.5 X: -543.6 Y: 3.8 Z: -8.0 16:00:38 (EST)
25 maxtvn froli Collision with car 3.4 X: 1.0 Y: -0.3 Z: 1.7 X: -542.4 Y: 3.7 Z: -8.1 16:00:40 (EST)
26 A. Skofic Collision with environment 8.0 X: -1.0 Y: 0.1 Z: 1.7 X: -334.1 Y: 2.8 Z: 26.6 16:03:19 (EST)
27 A. Skofic Collision with environment 62.2 X: -0.7 Y: -0.4 Z: 2.1 X: 315.7 Y: 4.0 Z: 118.9 16:09:44 (EST)
28 A. Skofic Collision with environment 84.9 X: -0.3 Y: -0.4 Z: 2.1 X: -216.7 Y: 2.4 Z: 27.1 16:20:19 (EST)
29 maxtvn Collision with environment 155.8 X: -0.6 Y: 0.1 Z: 2.0 X: 44.6 Y: 5.2 Z: -446.2 16:22:12 (EST)
Car Env Rel
Sepang 46 Pits Sepang 46 Pits collisions

There were no penalties in this session.

1st A. Skofic in Bayro EGT
Best: 02:01.935, Potential: 02:01.721
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:14.677 00:40.906 00:44.302 00:49.469 0 S
2 03:19.796 01:47.187 00:43.902 00:48.707 1 S
3 02:02.623
C
00:30.243 00:43.740 00:48.640 1 S
4 02:03.580 00:30.565 00:43.974 00:49.041 0 S
5 02:02.774 00:30.182
S
S
00:43.633 00:48.959 0 S
6 02:01.935
L
L
00:30.396 00:43.298
S
S
00:48.241
S
0 S
2nd froli in Darche EGT 2021
Best: 02:03.058, Potential: 02:02.451
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:23.929 00:51.171 00:44.666 00:48.092
S
S
0 S
2 02:05.610 00:30.687 00:42.867 00:52.056 2 S
3 02:10.342 00:30.942 00:43.191 00:56.209 1 S
4 02:03.058
L
00:30.488
S
00:43.871
S
00:48.699 0 S
5 02:05.961 00:30.750 00:45.081 00:50.130 0 S
6 02:03.291 00:30.960 00:43.919 00:48.412 0 S
3rd A. Skofic in Michigan EGT
Best: 02:03.125, Potential: 02:03.098
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:20.068 00:47.283 00:43.753
S
00:49.032 0 S
2 02:03.125
L
00:30.597
S
00:43.780 00:48.748
S
0 S
3 02:15.255 00:42.379 00:43.668 00:49.208 2 S
4 02:05.167 00:31.464 00:43.884 00:49.819 0 S
4th A. Skofic in Detroit EGT
Best: 02:03.168, Potential: 02:03.168
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:22.282 00:48.610 00:44.073 00:49.599 1 S
2 03:48.830 02:15.771 00:43.658 00:49.401 1 S
3 02:03.168
L
00:30.607
S
00:43.690
S
00:48.871
S
0 S
4 03:57.365 02:23.513 00:43.372 00:50.480 1 S
5th froli in Bayro EGT
Best: 02:03.293, Potential: 02:03.194
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:20.810 00:43.926 00:45.818 00:51.066 0 S
2 02:12.199 00:31.390 00:47.394 00:53.415 0 S
3 02:07.122 00:31.433 00:45.086 00:50.603 0 S
4 02:05.018 00:31.518 00:44.460 00:49.040 0 S
5 02:25.994 00:49.532 00:47.655 00:48.807 1 S
6 02:03.293
L
00:30.962
S
00:43.497
S
00:48.834 0 S
7 02:07.721 00:30.841 00:44.748 00:52.132 2 S
8 02:05.021
C
00:30.940 00:44.707 00:49.374 1 S
9 02:07.101 00:30.850 00:45.256 00:50.995 1 S
10 02:03.389 00:31.023 00:43.631 00:48.735
S
0 S
6th froli in AMR EGT
Best: 02:03.449, Potential: 02:03.359
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:48.962 01:01.619 00:54.095 00:53.248 1 S
2 02:11.074
C
00:31.016 00:48.749 00:51.309 1 S
3 02:08.211 00:31.704 00:45.701 00:50.806 0 S
4 02:04.793 00:31.220 00:44.029 00:49.544 0 S
5 02:04.212 00:30.850 00:44.082 00:49.280 0 S
6 02:12.263
C
00:30.789 00:49.090 00:52.384 2 S
7 02:12.802
C
00:30.670 00:51.655 00:50.477 2 S
8 02:10.506
C
00:30.983 00:48.879 00:50.644 1 S
9 02:09.114 00:31.131 00:46.296 00:51.687 0 S
10 02:40.064 01:02.792 00:48.204 00:49.068
S
0 S
11 02:10.237
C
00:31.062 00:44.594 00:54.581 1 S
12 02:51.393 01:16.834 00:44.267 00:50.292 0 S
13 02:05.595 00:31.099 00:43.771 00:50.725 0 S
14 02:09.730
C
00:31.049 00:44.263 00:54.418 1 S
15 02:03.449
L
00:30.606
S
00:43.685
S
00:49.158 0 S
16 02:14.048 00:30.765 00:54.387 00:48.896 1 S
17 02:04.878
C
00:30.724 00:44.852 00:49.302 1 S
18 02:06.004 00:31.288 00:45.013 00:49.703 0 S
19 02:05.510 00:31.460 00:44.105 00:49.945 0 S
7th maxtvn in AMR EGT
Best: 02:03.683, Potential: 02:03.115
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:46.699 00:57.587 00:51.755 00:57.357 1 S
2 02:09.592 00:30.556 00:49.145 00:49.891 4 S
3 02:05.560 00:30.651 00:45.458 00:49.451 0 S
4 02:07.635 00:31.145 00:45.685 00:50.805 1 S
5 02:05.077
C
00:30.550 00:45.036 00:49.491 1 S
6 02:08.472 00:30.326 00:46.085 00:52.061 0 S
7 02:04.087 00:30.195
S
00:44.797 00:49.095
S
0 S
8 02:18.957 00:39.030 00:49.032 00:50.895 2 S
9 02:09.149 00:31.333 00:46.283 00:51.533 0 S
10 02:41.170 01:02.670 00:48.969 00:49.531 1 S
11 02:09.803 00:30.543 00:44.973 00:54.287 1 S
12 02:53.203 01:16.116 00:45.639 00:51.448 3 S
13 02:04.953
C
00:30.443 00:44.353 00:50.157 1 S
14 02:05.554 00:30.807 00:44.936 00:49.811 0 S
15 02:13.863 00:30.938 00:52.821 00:50.104 2 S
16 02:06.823 00:30.532 00:44.919 00:51.372 0 S
17 02:18.088 00:30.857 00:57.574 00:49.657 3 S
18 02:03.683
L
00:30.412 00:43.825
S
00:49.446 0 S
19 02:04.698
C
00:30.508 00:43.844 00:50.346 1 S
8th maxtvn in Darche EGT 2021
Best: 02:04.517, Potential: 02:04.262
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:41.348 01:03.725 00:45.806 00:51.817 0 S
2 02:15.164 00:31.268 00:53.677 00:50.219 1 S
3 02:05.449 00:31.615 00:44.348 00:49.486 0 S
4 02:08.841 00:31.177 00:44.483 00:53.181 1 S
5 02:05.460 00:31.158 00:44.757 00:49.545 0 S
6 02:04.640 00:31.014
S
00:44.284 00:49.342
S
0 S
7 02:04.517
L
00:31.071 00:43.906
S
00:49.540 0 S
9th maxtvn in Detroit EGT
Best: 02:05.027, Potential: 02:05.027
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:13.291 03:36.208 00:46.381 00:50.702 0 S
2 02:10.496 00:31.812 00:47.344 00:51.340 2 S
3 07:07.979 00:31.633 01:09.457 05:26.889 3 S
4 02:11.970 00:32.200 00:50.288 00:49.482 0 S
5 04:21.013 02:45.334 00:45.212 00:50.467 3 S
6 02:16.401 00:31.011 00:55.358 00:50.032 1 S
7 02:05.027
L
00:30.546
S
00:45.004
S
00:49.477
S
0 S
10th A. Skofic in Darche EGT 2021
Best: 02:08.041, Potential: 02:06.038
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:54.353 01:19.295 00:44.659 00:50.399
S
0 S
2 02:08.041
L
00:31.034
S
00:44.605
S
00:52.402 0 S
11th A. Skofic in AMR EGT
Best: 05:04.770, Potential: 05:04.770
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 05:17.039 03:43.241 00:44.654 00:49.144 3 S
2 02:09.521
C
00:31.246 00:47.920 00:50.355 1 S
3 05:04.770
L
03:30.279
S
00:44.649
S
00:49.842
S
0 S
12th maxtvn in Bayro EGT
Best: 277:46:39.999, Potential: 00:00.000
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:30.237 01:52.137 00:47.123 00:50.977 2 S