Monza

03 Dec 22 16:05 PST
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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 ACFL F1 2022 FERRARI 01:23.572
Tyre: C5
01:25.426 29 laps / 21 cuts 31 - 79
2 ACFL F1 2022 FERRARI 01:24.806
Tyre: C5
01:25.489 11 laps / 10 cuts 32 - 48
3 ACFL F1 2022 FERRARI 01:25.032
Tyre: C5
01:33.084 43 laps / 36 cuts 24 - 223
4 ACFL F1 2022 FERRARI 01:27.081
Tyre: C5
02:44.946 17 laps / 17 cuts 30 - 97
5 ACFL F1 2022 FERRARI 01:27.789
Tyre: C5
01:49.771 22 laps / 15 cuts 25 - 129
6 ACFL F1 2022 FERRARI 01:28.103
Tyre: C4
01:43.343 22 laps / 12 cuts 26 - 60
7 ACFL F1 2022 FERRARI 01:31.243
Tyre: C4
01:32.179 6 laps / 7 cuts 33 - 69
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 Collision with environment 34.9 X: 1.0 Y: -0.2 Z: -1.9 X: 627.6 Y: -3.4 Z: -689.7 06:32:15 (PST)
2 Collision with environment 0.8 X: -1.0 Y: 0.1 Z: 3.0 X: 972.4 Y: -1.3 Z: -1268.4 06:35:15 (PST)
3 Collision with environment 39.4 X: -0.0 Y: -0.1 Z: 3.4 X: 731.7 Y: 0.5 Z: -1220.5 06:38:05 (PST)
4 Collision with environment 16.1 X: -1.0 Y: 0.1 Z: 3.0 X: 970.2 Y: -1.3 Z: -1269.1 06:39:05 (PST)
5 Collision with environment 24.4 X: -1.0 Y: 0.1 Z: 3.0 X: 928.8 Y: -2.7 Z: -896.3 06:44:38 (PST)
6 Collision with environment 33.0 X: -1.0 Y: -0.2 Z: 3.0 X: 885.3 Y: -2.8 Z: -871.0 06:46:05 (PST)
7 Collision with environment 58.5 X: -1.0 Y: -0.2 Z: 3.0 X: 1022.8 Y: -2.2 Z: -1142.7 06:48:03 (PST)
8 Collision with environment 72.0 X: -1.0 Y: -0.2 Z: 3.0 X: 167.7 Y: -5.5 Z: -155.2 06:49:12 (PST)
9 Collision with environment 3.8 X: -0.0 Y: -0.1 Z: 3.4 X: 1022.4 Y: -2.1 Z: -1150.2 06:52:08 (PST)
10 Collision with environment 9.4 X: -1.0 Y: -0.2 Z: 3.0 X: -158.6 Y: -5.6 Z: -154.2 06:54:48 (PST)
11 Collision with car 9.4 X: -0.0 Y: -0.1 Z: 3.4 X: 203.2 Y: -4.4 Z: -323.8 06:59:37 (PST)
12 Collision with car 15.3 X: -0.1 Y: -0.1 Z: -1.8 X: 203.2 Y: -4.4 Z: -323.8 06:59:37 (PST)
13 Collision with environment 30.9 X: 1.0 Y: -0.2 Z: -1.9 X: 919.4 Y: -2.9 Z: -890.8 07:00:40 (PST)
14 Collision with environment 41.9 X: 1.0 Y: 0.4 Z: -1.9 X: 103.0 Y: -4.6 Z: -114.9 07:03:30 (PST)
15 Collision with environment 70.4 X: -0.0 Y: -0.1 Z: 3.4 X: 719.3 Y: 0.4 Z: -1188.2 07:09:49 (PST)
16 Collision with car 34.5 X: 1.0 Y: -0.2 Z: -1.8 X: 123.3 Y: -5.7 Z: -115.4 07:10:13 (PST)
17 Collision with car 36.3 X: -0.1 Y: -0.1 Z: 3.3 X: 107.7 Y: -6.0 Z: -38.9 07:10:17 (PST)
18 Collision with environment 33.7 X: 1.0 Y: -0.2 Z: -1.9 X: 89.7 Y: -6.8 Z: 74.2 07:10:17 (PST)
19 Collision with environment 77.8 X: -0.9 Y: -0.2 Z: 2.9 X: 92.3 Y: -6.3 Z: 6.6 07:10:18 (PST)
20 Collision with car 20.8 X: 0.9 Y: 0.1 Z: 3.0 X: 107.3 Y: -5.9 Z: -36.6 07:10:18 (PST)
21 Collision with environment 10.8 X: 1.0 Y: -0.2 Z: -1.9 X: 89.4 Y: -6.8 Z: 85.1 07:10:22 (PST)
22 Collision with environment 40.7 X: -1.0 Y: -0.2 Z: -1.9 X: 923.2 Y: -2.8 Z: -868.4 07:10:51 (PST)
23 Collision with environment 38.3 X: -1.0 Y: -0.2 Z: 3.0 X: 736.6 Y: 0.4 Z: -1221.2 07:13:44 (PST)
24 Collision with environment 127.7 X: 0.9 Y: -0.2 Z: -1.9 X: 1025.0 Y: -2.2 Z: -1116.6 07:16:14 (PST)
25 Collision with environment 52.0 X: -0.0 Y: -0.1 Z: 3.4 X: 91.4 Y: -6.4 Z: 41.3 07:17:39 (PST)
26 Collision with environment 0.0 X: -1.0 Y: -0.2 Z: 3.0 X: 89.3 Y: -6.9 Z: 89.8 07:17:44 (PST)
27 Collision with environment 48.2 X: 1.0 Y: 0.1 Z: 3.0 X: 714.4 Y: 0.9 Z: -1184.1 07:19:36 (PST)
28 Collision with environment 76.6 X: -1.0 Y: -0.2 Z: 3.0 X: 102.9 Y: -5.0 Z: -115.5 07:22:43 (PST)
29 Collision with environment 44.1 X: -1.0 Y: -0.2 Z: -1.9 X: 102.3 Y: -5.1 Z: -109.3 07:24:47 (PST)
30 Collision with environment 36.4 X: 1.0 Y: -0.2 Z: -1.9 X: 922.8 Y: -2.9 Z: -892.8 07:24:54 (PST)
31 Collision with environment 149.0 X: -0.5 Y: -0.0 Z: 3.2 X: -197.9 Y: -10.0 Z: 641.7 07:27:43 (PST)
32 Collision with environment 70.8 X: -0.0 Y: -0.1 Z: 3.4 X: 633.6 Y: 1.2 Z: -1196.1 07:27:54 (PST)
33 Collision with environment 74.8 X: -0.0 Y: -0.1 Z: 3.4 X: 717.0 Y: 0.5 Z: -1217.0 07:28:27 (PST)
34 Collision with environment 22.0 X: -1.0 Y: 0.1 Z: 2.9 X: 970.8 Y: -1.2 Z: -1269.0 07:29:08 (PST)
35 Collision with car 10.8 X: -0.0 Y: -0.1 Z: 3.4 X: -204.4 Y: -8.5 Z: 417.7 07:29:17 (PST)
36 Collision with car 10.4 X: 0.7 Y: 0.0 Z: 3.1 X: -205.1 Y: -8.4 Z: 417.9 07:29:22 (PST)
37 Collision with car 62.8 X: 0.0 Y: -0.1 Z: 3.3 X: -205.3 Y: -8.5 Z: 422.9 07:29:36 (PST)
38 Collision with car 65.4 X: 0.4 Y: -0.1 Z: -1.9 X: -205.3 Y: -8.5 Z: 422.9 07:29:39 (PST)
39 Collision with car 14.7 X: -0.3 Y: -0.0 Z: 3.2 X: -205.1 Y: -8.4 Z: 421.5 07:29:41 (PST)
40 Collision with car 1.0 X: -1.0 Y: 0.0 Z: 2.0 X: -205.3 Y: -8.4 Z: 418.4 07:29:46 (PST)
41 Collision with environment 14.9 X: -1.0 Y: -0.2 Z: 3.0 X: -216.1 Y: -8.7 Z: 436.6 07:30:17 (PST)
42 Collision with car 21.2 X: -0.0 Y: -0.1 Z: 3.4 X: -102.7 Y: -3.4 Z: -522.7 07:31:29 (PST)
43 Collision with car 31.6 X: -0.5 Y: -0.1 Z: -1.9 X: -103.0 Y: -3.3 Z: -522.9 07:31:33 (PST)
44 Collision with environment 75.7 X: 1.0 Y: -0.2 Z: -1.9 X: 103.3 Y: -5.1 Z: -118.0 07:32:21 (PST)
45 Collision with car 35.8 X: -0.4 Y: -0.1 Z: 3.2 X: -99.3 Y: -3.4 Z: -524.9 07:33:03 (PST)
46 Collision with car 42.5 X: -1.0 Y: -0.2 Z: 3.0 X: -99.3 Y: -3.4 Z: -524.9 07:33:03 (PST)
47 Collision with car 20.1 X: 0.6 Y: -0.0 Z: 3.1 X: -81.3 Y: -3.1 Z: -523.5 07:33:08 (PST)
48 Collision with car 14.6 X: -1.0 Y: -0.1 Z: -1.9 X: -81.3 Y: -3.3 Z: -523.4 07:33:08 (PST)
49 Collision with environment 83.8 X: 0.9 Y: -0.2 Z: 3.0 X: 687.4 Y: 0.7 Z: -1211.2 07:33:51 (PST)
50 Collision with environment 27.6 X: 0.5 Y: 0.7 Z: -2.2 X: 752.5 Y: 0.9 Z: -1199.9 07:36:28 (PST)
51 Collision with environment 43.2 X: -0.0 Y: -0.1 Z: 3.4 X: 124.7 Y: -6.2 Z: -24.6 07:37:01 (PST)
52 Collision with car 2.2 X: 1.0 Y: 0.4 Z: -1.9 X: 69.5 Y: -8.2 Z: 399.0 07:38:33 (PST)
53 Collision with car 2.1 X: -0.9 Y: 0.4 Z: 0.2 X: 69.4 Y: -8.2 Z: 399.2 07:38:36 (PST)
54 Collision with environment 39.8 X: -0.0 Y: -0.1 Z: 3.4 X: 91.1 Y: -6.1 Z: -33.2 07:39:20 (PST)
55 Collision with car 79.8 X: -0.7 Y: 0.0 Z: 3.1 X: -75.3 Y: -2.9 Z: -545.3 07:40:33 (PST)
56 Collision with environment 36.0 X: -0.0 Y: -0.1 Z: 3.4 X: 102.5 Y: -5.1 Z: -111.2 07:46:56 (PST)
57 Collision with environment 59.3 X: 1.0 Y: -0.2 Z: -1.9 X: 904.5 Y: -2.9 Z: -882.1 07:49:56 (PST)
58 Collision with environment 12.2 X: -1.0 Y: -0.2 Z: 3.0 X: 118.0 Y: -6.6 Z: 22.1 20:26:08 (PST)
59 Collision with environment 1.2 X: -1.0 Y: -0.2 Z: 3.0 X: 115.7 Y: -6.6 Z: 38.5 20:26:13 (PST)
60 Collision with environment 119.1 X: -0.7 Y: 0.0 Z: 3.1 X: 90.8 Y: -5.8 Z: -42.9 20:28:58 (PST)
61 Collision with environment 39.4 X: -0.0 Y: -0.1 Z: 3.4 X: 701.9 Y: 0.6 Z: -1215.5 20:34:38 (PST)
62 Collision with environment 19.3 X: 1.0 Y: -0.2 Z: -1.9 X: 907.1 Y: -2.9 Z: -883.6 20:38:48 (PST)
63 Collision with environment 53.5 X: -0.4 Y: -0.0 Z: 3.2 X: 129.0 Y: -6.1 Z: -54.1 05:42:29 (PST)
64 Collision with environment 7.5 X: -1.0 Y: -0.2 Z: 3.0 X: -88.6 Y: -2.3 Z: -648.5 05:48:09 (PST)
65 Collision with environment 36.1 X: -0.0 Y: -0.1 Z: 3.4 X: 116.4 Y: -6.5 Z: 33.5 07:07:23 (PST)
66 Collision with environment 75.7 X: -1.0 Y: -0.2 Z: 3.0 X: -128.9 Y: -11.5 Z: 852.4 05:20:11 (PST)
67 Collision with environment 11.3 X: 1.0 Y: -0.2 Z: 3.0 X: -158.2 Y: -7.0 Z: 100.7 05:20:26 (PST)
68 Collision with environment 53.1 X: 1.0 Y: -0.2 Z: -1.2 X: -161.2 Y: -7.2 Z: 132.1 08:10:18 (PST)
69 Collision with environment 58.5 X: 1.0 Y: -0.2 Z: 3.0 X: 202.8 Y: -4.7 Z: -260.5 09:47:28 (PST)
70 Collision with environment 113.8 X: 0.4 Y: -0.1 Z: 3.2 X: 1022.1 Y: -2.1 Z: -1130.9 09:48:33 (PST)
71 Collision with environment 78.2 X: 1.0 Y: 0.1 Z: 2.9 X: 1023.1 Y: -2.1 Z: -1139.2 09:51:13 (PST)
72 Collision with environment 44.9 X: -0.0 Y: -0.1 Z: 3.4 X: 1022.0 Y: -2.1 Z: -1154.0 09:53:43 (PST)
73 Collision with environment 85.1 X: 0.9 Y: -0.2 Z: 2.9 X: 202.7 Y: -4.7 Z: -273.2 10:01:18 (PST)
74 Collision with environment 12.1 X: -1.0 Y: 0.1 Z: 3.0 X: -124.3 Y: -2.6 Z: -596.4 02:33:39 (PST)
75 Collision with environment 2.5 X: -1.0 Y: -0.2 Z: 3.0 X: -124.7 Y: -2.9 Z: -593.9 02:33:44 (PST)
Car Env Rel
Monza Monza collisions

There were no penalties in this session.

1st FewRee in ACFL F1 2022 FERRARI
Best: 01:23.572, Potential: 01:23.384
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:07.036 01:02.879 00:37.175 00:26.982 4 C5
2 02:41.524 01:46.408 00:28.463 00:26.653 1 C5
3 01:24.682 00:31.667 00:26.812 00:26.203 0 C5
4 03:36.937 02:38.392 00:27.450 00:31.095 1 C5
5 01:24.952 00:31.937 00:26.640 00:26.375 0 C5
6 01:24.430 00:31.542 00:26.657 00:26.231 0 C5
7 02:42.069 01:45.584 00:29.210 00:27.275 1 C5
8 01:24.739
C
00:31.472 00:26.920 00:26.347 1 C5
9 01:24.682 00:31.411 00:26.757 00:26.514 0 C5
10 01:24.066 00:31.334 00:26.942 00:25.790
S
0 C5
11 02:10.139 01:13.057 00:29.731 00:27.351 2 C5
12 01:27.491 00:31.782 00:28.880 00:26.829 0 C5
13 02:45.962 01:50.333 00:28.512 00:27.117 1 C5
14 01:23.918 00:31.304 00:26.604 00:26.010 0 C5
15 01:24.053 00:31.489 00:26.537 00:26.027 0 C5
16 01:24.044 00:31.323 00:26.667 00:26.054 0 C5
17 01:23.572
L
L
00:31.233
S
S
00:26.361
S
S
00:25.978 0 C5
18 01:23.616 00:31.240 00:26.455 00:25.921 0 C5
19 01:52.927 00:58.526 00:27.874 00:26.527 1 C5
20 01:27.886 00:31.060 00:30.357 00:26.469 1 C5
21 01:24.335
C
00:31.460 00:26.452 00:26.423 1 C5
22 02:42.650 01:48.012 00:27.634 00:27.004 2 C5
23 01:26.780 00:31.566 00:26.712 00:28.502 0 C5
24 04:56.048 03:59.794 00:26.914 00:29.340 0 C5
25 01:35.402 00:40.723 00:27.472 00:27.207 0 C5
26 01:24.980 00:31.827 00:26.658 00:26.495 0 C5
27 01:33.283 00:31.746 00:35.081 00:26.456 1 C5
28 01:14.818
C
00:23.792 00:23.733 00:27.293 4 C5
29 01:24.723 00:31.866 00:26.829 00:26.028 0 C5
2nd Adania in ACFL F1 2022 FERRARI
Best: 01:24.806, Potential: 01:24.137
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:29.836 02:33.563 00:29.764 00:26.509 1 C3
2 03:09.788 02:16.121 00:27.851 00:25.816 5 C5
3 01:25.071 00:32.250 00:27.081
S
00:25.740
S
S
0 C5
4 01:24.806
L
00:31.481 00:27.531 00:25.794 0 C5
5 02:38.227 00:32.088 00:28.183 01:37.956 1 C5
6 02:46.105 01:46.223 00:27.572 00:32.310 1 C5
7 01:26.005 00:32.140 00:27.518 00:26.347 1 C5
8 01:26.329 00:32.050 00:27.571 00:26.708 0 C5
9 01:25.042
C
00:31.505 00:27.487 00:26.050 1 C5
10 01:25.114 00:31.316
S
00:27.406 00:26.392 0 C5
11 01:26.126 00:31.478 00:27.473 00:27.175 0 C5
3rd Shopian Said in ACFL F1 2022 FERRARI
Best: 01:25.032, Potential: 01:24.964
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:19.809 02:59.641 00:28.760 00:51.408 1 C4
2 01:28.794
C
00:31.819 00:29.300 00:27.675 1 C4
3 01:27.740
C
00:32.400 00:28.278 00:27.062 1 C4
4 03:50.186 02:42.822 00:34.911 00:32.453 2 C4
5 03:54.047 02:57.352 00:28.620 00:28.075 1 C5
6 02:39.253 01:43.381 00:28.057 00:27.815 1 C5
7 02:58.746 02:03.270 00:28.079 00:27.397 1 C5
8 01:27.570 00:32.211 00:27.468 00:27.891 0 C5
9 01:27.263 00:32.004 00:27.621 00:27.638 0 C5
10 01:27.280 00:32.033 00:27.711 00:27.536 0 C5
11 01:27.112 00:31.955 00:27.505 00:27.652 0 C5
12 01:26.698 00:32.509 00:27.445 00:26.744 0 C5
13 04:19.422 03:24.337 00:27.724 00:27.361 2 C5
14 03:13.941 02:17.898 00:28.975 00:27.068 1 C5
15 02:51.828 01:56.635 00:27.702 00:27.491 3 C5
16 01:27.398 00:32.669 00:27.509 00:27.220 0 C5
17 05:06.043 04:11.670 00:27.598 00:26.775 1 C5
18 01:38.249 00:31.659 00:27.342 00:39.248 0 C5
19 01:25.890 00:31.705 00:27.401 00:26.784 0 C5
20 03:09.035 02:14.869 00:27.572 00:26.594 2 C5
21 02:04.869 01:07.998 00:29.128 00:27.743 3 C5
22 01:25.032
L
00:31.414
S
00:27.180 00:26.438
S
0 C5
23 01:25.697 00:31.977 00:27.229 00:26.491 0 C5
24 01:25.817 00:31.642 00:27.427 00:26.748 0 C5
25 05:34.200 04:08.029 00:27.598 00:58.573 2 C5
26 02:39.304 01:43.981 00:28.161 00:27.162 2 C5
27 02:56.410 01:58.148 00:31.185 00:27.077 2 C5
28 01:26.239 00:31.537 00:27.855 00:26.847 0 C5
29 01:24.794
C
00:31.497 00:26.549 00:26.748 2 C5
30 02:44.176 01:49.388 00:27.284 00:27.504 0 C5
31 01:26.334 00:32.023 00:27.374 00:26.937 0 C5
32 02:44.952 01:50.277 00:27.485 00:27.190 2 C5
33 02:03.261 01:07.083 00:28.403 00:27.775 0 C5
34 01:27.902 00:31.589 00:28.926 00:27.387 0 C5
35 01:25.818 00:31.710 00:27.270 00:26.838 0 C5
36 01:58.525 01:04.439 00:27.585 00:26.501 1 C5
37 01:32.174 00:31.420 00:34.137 00:26.617 0 C5
38 02:50.202 01:56.471 00:27.244 00:26.487 1 C5
39 02:46.387 01:52.333 00:27.261 00:26.793 1 C5
40 01:58.392 01:03.906 00:27.531 00:26.955 1 C5
41 01:25.666 00:31.824 00:27.242 00:26.600 0 C5
42 02:30.846 01:22.940 00:27.532 00:40.374 2 C5
43 01:26.121 00:31.522 00:27.112
S
00:27.487 0 C5
4th Krumz in ACFL F1 2022 FERRARI
Best: 01:27.081, Potential: 01:26.581
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 04:30.033 03:31.938 00:30.276 00:27.819 1 C5
2 04:01.073 03:04.023 00:29.114 00:27.936 0 C5
3 03:18.840 02:21.563 00:29.719 00:27.558 1 C5
4 03:06.349 02:09.442 00:29.281 00:27.626 1 C5
5 01:27.081
L
00:32.127
S
00:27.567
S
00:27.387 0 C5
6 02:10.081
C
00:32.071 01:10.574 00:27.436 1 C5
7 01:27.445 00:32.612 00:27.946 00:26.887
S
0 C5
8 09:08.830 08:12.962 00:28.251 00:27.617 2 C5
9 03:52.007 02:55.685 00:28.778 00:27.544 2 C5
10 01:26.929
C
00:32.015 00:27.104 00:27.810 1 C5
11 02:31.385
C
01:32.184 00:30.262 00:28.939 2 C5
12 06:28.897 05:32.323 00:28.723 00:27.851 2 C5
13 06:29.777 05:34.252 00:27.945 00:27.580 0 C5
14 01:35.398
C
00:38.374 00:27.941 00:29.083 2 C5
15 01:36.076 00:32.887 00:35.410 00:27.779 0 C5
16 01:28.228 00:32.680 00:28.602 00:26.946 0 C5
17 01:22.680
C
00:26.744 00:27.527 00:28.409 2 C5
5th gnm_stry in ACFL F1 2022 FERRARI
Best: 01:27.789, Potential: 01:27.555
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:54.885 01:54.350 00:31.235 00:29.300 0 C5
2 01:31.368 00:33.034 00:29.696 00:28.638 0 C5
3 01:30.458 00:32.535 00:29.380 00:28.543 0 C5
4 01:30.749 00:32.330 00:30.069 00:28.350 0 C5
5 02:53.675 01:57.210 00:28.619 00:27.846 1 C5
6 02:34.932 01:37.899 00:29.717 00:27.316 1 C5
7 01:28.290 00:32.030 00:28.508 00:27.752 0 C5
8 02:31.658 01:35.008 00:29.111 00:27.539 2 C5
9 03:58.529 03:00.849 00:29.299 00:28.381 4 C5
10 01:31.892
C
00:36.102 00:28.358 00:27.432 1 C5
11 01:32.648
C
00:36.659 00:28.400 00:27.589 1 C5
12 01:27.789
L
00:31.962
S
00:27.900
S
00:27.927 0 C5
13 03:18.170 02:21.326 00:29.070 00:27.774 1 C5
14 05:30.901 04:34.205 00:28.409 00:28.287 0 C5
15 01:28.971 00:32.122 00:28.980 00:27.869 0 C5
16 01:28.798 00:32.251 00:28.494 00:28.053 0 C5
17 02:13.448 01:16.208 00:29.106 00:28.134 2 C5
18 02:07.229 01:08.536 00:29.862 00:28.831 2 C5
19 01:31.627 00:32.547 00:29.790 00:29.290 0 C5
20 01:30.131 00:32.406 00:29.474 00:28.251 0 C5
21 01:30.115 00:32.524 00:28.804 00:28.787 0 C5
22 01:28.057 00:32.405 00:27.959 00:27.693
S
0 C5
6th Syam in ACFL F1 2022 FERRARI
Best: 01:28.103, Potential: 01:27.965
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 02:10.992 01:11.501 00:29.669 00:29.822 0 C4
2 01:43.549 00:33.714 00:29.276 00:40.559 0 C4
3 01:29.852 00:32.531 00:28.900 00:28.421 0 C4
4 01:29.552 00:32.443 00:28.782 00:28.327 0 C4
5 01:29.805 00:32.236 00:29.133 00:28.436 0 C4
6 01:29.563 00:32.139
S
00:29.844 00:27.580 0 C4
7 01:46.331 00:49.249 00:29.146 00:27.936 0 C4
8 03:36.641 02:38.245 00:30.686 00:27.710 3 C4
9 01:28.103
L
00:32.277 00:28.296
S
00:27.530
S
0 C4
10 02:44.518 01:46.225 00:30.145 00:28.148 0 C4
11 15:32.847 14:28.587 00:30.159 00:34.101 2 C5
12 02:08.340 01:10.496 00:29.318 00:28.526 0 C5
13 01:29.586 00:32.386 00:29.227 00:27.973 0 C5
14 03:31.029 02:31.061 00:31.339 00:28.629 0 C5
15 04:07.185 03:09.080 00:29.944 00:28.161 3 C5
16 02:31.586 01:33.302 00:29.727 00:28.557 1 C5
17 02:45.976 01:47.769 00:30.023 00:28.184 1 C5
18 01:30.294 00:32.775 00:29.056 00:28.463 0 C5
19 01:29.878 00:32.206 00:28.805 00:28.867 0 C5
20 01:30.010 00:32.838 00:29.303 00:27.869 0 C5
21 14:12.625 11:41.790 02:02.431 00:28.404 2 C5
22 01:30.915 00:33.296 00:28.931 00:28.688 0 C5
7th Pentagonist in ACFL F1 2022 FERRARI
Best: 01:31.243, Potential: 01:31.243
Lap # Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 03:05.387 01:51.682 00:31.441 00:42.264 1 C4
2 01:33.175 00:34.112 00:29.413 00:29.650 2 C4
3 01:34.245 00:33.395 00:31.469 00:29.381 1 C4
4 03:22.513 02:20.876 00:32.247 00:29.390 3 C4
5 01:33.115 00:33.279 00:30.293 00:29.543 0 C4
6 01:31.243
L
00:33.026
S
00:29.318
S
00:28.899
S
0 C4