Miami International Autodrome

30 Jul 22 13:56 PDT
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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 Car Best Practice Lap Average Lap Laps Ping
1 VM F1 2022 Model Beta 01:25.182
Tyre: C5
01:34.552 9 laps / 4 cuts 53 - 350
2 VM F1 2022 Model Beta 01:27.043
Tyre: C3
01:29.756 19 laps / 13 cuts 43 - 70
3 VM F1 2022 Model Beta 01:28.289
Tyre: C3
01:31.548 23 laps / 10 cuts 38 - 50
4 VM F1 2022 Model Beta 01:31.371
Tyre: C4
01:34.373 14 laps / 6 cuts 42 - 45
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 108.4 X: -0.9 Y: -0.1 Z: 2.9 X: -593.2 Y: -1.0 Z: 180.0 11:46:38 (PDT)
2 Collision with environment 138.2 X: -1.0 Y: -0.1 Z: 2.9 X: -549.8 Y: -1.0 Z: 172.4 11:51:28 (PDT)
3 Collision with environment 100.4 X: -0.9 Y: -0.1 Z: 2.9 X: -593.5 Y: -1.0 Z: 179.9 12:05:42 (PDT)
4 Collision with environment 99.4 X: -1.0 Y: 0.1 Z: 2.9 X: 736.0 Y: -1.0 Z: -53.7 12:12:07 (PDT)
5 Collision with environment 10.5 X: 0.0 Y: -0.1 Z: 3.3 X: 750.5 Y: -1.3 Z: -82.3 12:12:12 (PDT)
6 Collision with environment 88.3 X: 0.0 Y: -0.1 Z: 3.2 X: -382.6 Y: -0.9 Z: -258.5 12:12:47 (PDT)
7 Collision with environment 46.2 X: -0.0 Y: -0.1 Z: 3.2 X: 869.4 Y: -0.8 Z: -216.6 12:13:57 (PDT)
8 Collision with environment 10.9 X: -0.0 Y: 0.1 Z: -2.4 X: 877.0 Y: -0.9 Z: -241.7 12:14:07 (PDT)
9 Collision with environment 44.8 X: -1.0 Y: -0.1 Z: 2.9 X: 771.8 Y: -1.4 Z: -89.3 12:15:32 (PDT)
10 Collision with environment 8.5 X: -1.0 Y: 0.1 Z: 1.6 X: -540.0 Y: -0.8 Z: 170.2 12:19:57 (PDT)
11 Collision with car 11.7 X: 0.6 Y: 0.1 Z: 3.0 X: 858.3 Y: -0.8 Z: -133.1 12:20:22 (PDT)
12 Collision with car 23.2 X: -0.0 Y: 0.0 Z: -2.4 X: 857.9 Y: -0.8 Z: -132.5 12:20:25 (PDT)
13 Collision with environment 70.5 X: -0.0 Y: -0.1 Z: 3.3 X: -640.9 Y: -1.1 Z: 147.5 12:21:35 (PDT)
14 Collision with environment 110.2 X: -1.0 Y: 0.1 Z: 2.8 X: -553.9 Y: -0.8 Z: 173.8 12:28:13 (PDT)
15 Collision with environment 115.8 X: 1.0 Y: 0.2 Z: 2.8 X: 865.4 Y: -0.4 Z: -158.1 12:31:15 (PDT)
16 Collision with environment 153.0 X: -0.9 Y: -0.1 Z: 2.9 X: -542.9 Y: -1.0 Z: 170.8 12:32:39 (PDT)
17 Collision with environment 73.2 X: 0.9 Y: -0.0 Z: -1.9 X: 850.4 Y: -0.3 Z: -207.1 12:36:35 (PDT)
18 Collision with environment 8.5 X: 1.0 Y: -0.1 Z: 2.9 X: 723.8 Y: -1.2 Z: -13.8 12:37:03 (PDT)
19 Collision with environment 42.6 X: -1.0 Y: -0.1 Z: 2.9 X: 309.0 Y: -1.0 Z: -24.5 12:39:47 (PDT)
20 Collision with environment 78.1 X: -1.0 Y: -0.1 Z: 2.9 X: 310.9 Y: -0.9 Z: -16.5 12:45:24 (PDT)
21 Collision with environment 237.8 X: -1.0 Y: -0.1 Z: 2.9 X: 139.5 Y: -1.0 Z: 203.9 12:47:09 (PDT)
22 Collision with environment 20.1 X: -1.0 Y: -0.1 Z: 2.9 X: -478.9 Y: -0.9 Z: 178.4 12:51:45 (PDT)
Car Env Rel
Miami International Autodrome Miami International Autodrome collisions

There were no penalties in this session.

1st VM LividFizz in VM F1 2022 Model Beta
Best: 01:25.182, Potential: 01:24.864
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:14.429 01:01.133 00:39.002 00:34.294 1 C3
2 12:37.155 11:33.048 00:30.010 00:34.097 1 C4
3 01:33.136 00:23.013 00:30.339 00:39.784 0 C4
4 01:26.594 00:23.176 00:29.781 00:33.637 0 C4
5 05:14.057 04:04.343 00:31.213 00:38.501 1 C5
6 02:01.102 00:22.516
S
S
00:56.956 00:41.630 0 C5
7 01:25.182
L
L
00:22.834 00:29.029
S
S
00:33.319
S
S
0 C5
8 06:37.845 05:26.398 00:37.035 00:34.412 1 C3
9 01:26.750 00:23.165 00:29.710 00:33.875 0 C3
2nd Busken in VM F1 2022 Model Beta
Best: 01:27.043, Potential: 01:26.878
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:06.657 01:47.060 00:43.480 00:36.117 2 C3
2 01:32.429 00:25.064 00:30.952 00:36.413 0 C3
3 01:30.479 00:24.505 00:31.028 00:34.946 0 C3
4 02:50.921 01:44.105 00:31.302 00:35.514 1 C3
5 02:30.774 01:24.205 00:31.307 00:35.262 1 C3
6 01:29.127 00:24.146 00:30.349 00:34.632 0 C3
7 01:52.452 00:43.619 00:33.170 00:35.663 1 C3
8 02:13.073 01:05.186 00:32.842 00:35.045 2 C3
9 02:29.092 01:19.194 00:31.742 00:38.156 2 C3
10 01:27.801 00:23.721 00:30.109 00:33.971 0 C3
11 01:38.486 00:29.420 00:32.396 00:36.670 0 C3
12 01:27.685 00:23.682 00:29.970 00:34.033 0 C3
13 02:39.054 01:31.972 00:31.311 00:35.771 1 C3
14 01:27.043
L
00:23.427 00:29.853 00:33.763
S
0 C3
15 03:35.691 02:29.846 00:30.663 00:35.182 1 C3
16 01:57.540 00:50.931 00:31.058 00:35.551 1 C3
17 01:27.637 00:23.373 00:29.951 00:34.313 0 C3
18 01:27.121 00:23.266
S
00:29.849
S
00:34.006 0 C3
19 03:41.847 02:34.499 00:31.226 00:36.122 1 C4
3rd BassCannon in VM F1 2022 Model Beta
Best: 01:28.289, Potential: 01:27.912
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:54.865 02:47.819 00:31.204 00:35.842 1 C4
2 01:30.230 00:24.571 00:30.690 00:34.969 0 C4
3 06:47.527 05:29.591 00:38.800 00:39.136 1 C4
4 01:29.380 00:24.517 00:30.416 00:34.447 0 C4
5 01:44.050 00:31.154 00:36.424 00:36.472 0 C4
6 01:33.210 00:24.909 00:32.215 00:36.086 0 C4
7 01:29.820 00:24.934 00:30.613 00:34.273 0 C4
8 01:34.472 00:27.539 00:31.676 00:35.257 0 C4
9 01:30.043 00:24.717 00:30.906 00:34.420 0 C4
10 01:44.797 00:26.290 00:31.504 00:47.003 1 C4
11 02:43.756 01:29.528 00:36.738 00:37.490 1 C5
12 01:28.633 00:24.089 00:30.218 00:34.326 0 C5
13 11:40.917 10:34.289 00:31.528 00:35.100 1 C3
14 01:28.289
L
00:23.742
S
00:30.186
S
00:34.361 0 C3
15 01:31.321 00:24.892 00:31.019 00:35.410 0 C3
16 03:53.992 02:46.258 00:31.563 00:36.171 1 C2
17 01:30.816 00:24.859 00:31.118 00:34.839 0 C2
18 01:32.875 00:25.317 00:31.684 00:35.874 0 C2
19 01:30.451 00:24.616 00:31.234 00:34.601 0 C2
20 03:36.604 02:13.278 00:39.275 00:44.051 2 C4
21 01:29.042 00:24.657 00:30.401 00:33.984
S
0 C4
22 01:30.596 00:24.460 00:31.117 00:35.019 0 C4
23 03:58.997 02:52.357 00:31.504 00:35.136 2 C4
4th Jellayy in VM F1 2022 Model Beta
Best: 01:31.371, Potential: 01:31.371
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:37.976 02:28.541 00:32.572 00:36.863 1 C4
2 01:40.802 00:26.404 00:32.531 00:41.867 0 C4
3 02:54.216 01:43.728 00:33.210 00:37.278 2 C4
4 01:34.284 00:25.938 00:32.148 00:36.198 0 C4
5 01:33.541 00:25.587 00:31.261 00:36.693 0 C4
6 01:33.916 00:25.269 00:32.508 00:36.139 0 C4
7 01:34.136 00:25.260 00:31.832 00:37.044 0 C4
8 08:00.476 06:51.806 00:32.216 00:36.454 1 C4
9 01:31.371
L
00:24.631
S
00:30.983
S
00:35.757
S
0 C4
10 01:32.402 00:24.749 00:31.528 00:36.125 0 C4
11 01:32.324 00:24.856 00:31.495 00:35.973 0 C4
12 01:41.270 00:24.780 00:31.941 00:44.549 1 C4
13 05:04.544 03:55.496 00:31.942 00:37.106 1 C2
14 01:36.586 00:26.364 00:33.389 00:36.833 0 C2