Sebring IMSA 12 Hour 2023

01 Sep 23 08:46 CEST
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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 Team Car Best Practice Lap Average Lap Laps Ping
1 GTP-P2W 060 Pay2Win Motorsport LMH - Acura ARX-06 2023 01:45.563
Tyre: M 		01:46.122 10 laps / 5 cuts 10 - 16
2 GTP-Kaliente 120 Kaliente Racing Team #1 LMH 2 - Porsche 963 2023 01:46.983
Tyre: M 		01:48.136 6 laps / 4 cuts 25 - 26
3 LMP2-Racegear 047 Revolution Racegear ACF - LMP2 2023 - Dallara P217 2017 01:48.886
Tyre: M 		01:49.445 15 laps / 5 cuts 105 - 138
4 LMP2-JGP 149 JGP Racing #2 ACF - LMP2 2023- Ligier JS P217 2017 01:49.367
Tyre: M 		01:50.372 45 laps / 40 cuts 32 - 87
5 LMP3-AeroLab 167 AeroLab GT-HY #2 ACF - LMP3 Adess 03 EVO 2020 01:57.635
Tyre: M 		02:07.888 18 laps / 14 cuts 16 - 31
6 LMP3-AeroLab 162 AeroLab GT-HY #1 ACF - LMP3 Ligier JSP320 Nissan 2020 01:57.773
Tyre: M 		02:26.986 10 laps / 13 cuts 22 - 24
7 GTD-WATT 023 WATT E-Racing #2 GT3 EVO - AMG GT3 EVO 2020 277:46:39.999
Tyre: ? 		00:00.000 1 laps / 2 cuts 15 - 17
8 GTP-Racetech 980 Racetech E-sports LMH 2 - BMW M Hybrid V8 2023 277:46:39.999
Tyre: ? 		00:00.000 1 laps / 1 cuts 109 - 116
# Driver Other Driver Type Impact Speed (Km/h) Relative Position World Position Time Show on Map
1 GTD-WATT 023 Collision with environment 76.1 X: 1.0 Y: -0.3 Z: 2.1 X: 512.6 Y: -2.1 Z: -99.6 20:53:14 (CEST)
2 GTP-P2W 060 Collision with environment 7.0 X: 0.9 Y: -0.1 Z: 2.3 X: -367.4 Y: -1.0 Z: 43.6 20:55:35 (CEST)
3 GTP-P2W 060 Collision with environment 15.7 X: -1.0 Y: -0.2 Z: 2.1 X: 482.8 Y: -2.2 Z: -97.4 20:57:05 (CEST)
4 GTP-P2W 060 Collision with environment 110.7 X: 0.9 Y: -0.2 Z: -2.0 X: -435.0 Y: -1.0 Z: 125.6 21:00:55 (CEST)
5 GTP-P2W 060 Collision with environment 5.1 X: -1.0 Y: -0.2 Z: 2.0 X: 482.8 Y: -2.2 Z: -96.9 21:07:25 (CEST)
6 LMP2-JGP 149 Collision with environment 15.7 X: 0.9 Y: -0.0 Z: 2.6 X: -487.7 Y: -1.1 Z: 748.4 23:02:10 (CEST)
7 LMP2-JGP 149 Collision with environment 8.2 X: 0.9 Y: -0.1 Z: 2.4 X: -367.4 Y: -1.0 Z: 43.6 23:16:06 (CEST)
8 LMP2-JGP 149 Collision with environment 122.5 X: 0.9 Y: 0.2 Z: 2.5 X: 367.0 Y: -1.3 Z: 14.5 23:17:46 (CEST)
9 LMP3-AeroLab 162 Collision with environment 99.8 X: -0.2 Y: 0.4 Z: 3.2 X: 55.3 Y: 0.6 Z: 703.7 23:44:42 (CEST)
10 LMP2-JGP 149 Collision with environment 47.7 X: 1.0 Y: 0.5 Z: 1.6 X: 494.5 Y: -1.4 Z: -69.2 23:45:51 (CEST)
11 LMP2-JGP 149 Collision with environment 10.4 X: 1.0 Y: -0.2 Z: 2.2 X: -376.3 Y: -1.2 Z: 53.2 23:50:41 (CEST)
12 LMP3-AeroLab 162 LMP3-AeroLab 167 Collision with car 7.8 X: 1.0 Y: 0.4 Z: 2.7 X: -286.5 Y: -0.6 Z: 8.5 23:57:42 (CEST)
13 LMP3-AeroLab 167 LMP3-AeroLab 162 Collision with car 3.6 X: -0.9 Y: 0.4 Z: 0.5 X: -230.3 Y: -0.6 Z: 6.2 23:57:42 (CEST)
14 LMP3-AeroLab 162 LMP3-AeroLab 167 Collision with car 5.4 X: 1.0 Y: 0.4 Z: 1.3 X: -187.8 Y: -0.7 Z: 9.3 23:59:42 (CEST)
15 LMP3-AeroLab 167 LMP3-AeroLab 162 Collision with car 5.5 X: -0.9 Y: 0.4 Z: 1.8 X: -188.1 Y: -0.7 Z: 9.3 23:59:42 (CEST)
16 LMP3-AeroLab 162 Collision with environment 3.3 X: -1.0 Y: 0.4 Z: -0.1 X: 235.6 Y: -1.1 Z: -3.1 00:01:37 (CEST)
17 LMP3-AeroLab 167 Collision with environment 2.9 X: -1.0 Y: -0.2 Z: -0.7 X: 222.7 Y: -1.6 Z: -3.1 00:01:37 (CEST)
18 LMP2-JGP 149 Collision with environment 16.5 X: -0.9 Y: -0.0 Z: 2.6 X: -107.0 Y: -1.1 Z: -16.9 00:04:51 (CEST)
19 LMP3-AeroLab 162 Collision with environment 3.4 X: -1.0 Y: 0.8 Z: 1.1 X: -394.0 Y: -0.2 Z: 302.5 00:07:52 (CEST)
20 LMP3-AeroLab 167 Collision with environment 36.7 X: -1.0 Y: -0.2 Z: 2.1 X: -226.6 Y: -0.2 Z: 546.9 00:16:03 (CEST)
21 LMP3-AeroLab 167 Collision with environment 4.4 X: 1.0 Y: -0.2 Z: 2.1 X: -375.8 Y: -1.2 Z: 52.6 00:24:43 (CEST)
22 LMP3-AeroLab 167 Collision with environment 72.3 X: -0.4 Y: 0.3 Z: 2.5 X: -447.6 Y: -1.1 Z: -199.2 00:28:08 (CEST)
23 GTP-Racetech 980 Collision with environment 179.9 X: -0.8 Y: -0.0 Z: 2.3 X: 222.1 Y: -0.5 Z: 542.2 03:59:16 (CEST)
24 GTP-Racetech 980 Collision with environment 6.9 X: -0.9 Y: 0.7 Z: -2.1 X: 167.6 Y: 0.6 Z: 583.2 03:59:21 (CEST)
25 LMP2-Racegear 047 Collision with environment 177.2 X: 0.9 Y: -0.0 Z: 2.4 X: 367.0 Y: -1.5 Z: 14.4 04:53:33 (CEST)
26 LMP2-Racegear 047 Collision with environment 57.7 X: 0.7 Y: -0.2 Z: 2.5 X: -366.7 Y: -1.2 Z: 270.6 04:57:53 (CEST)
Car Env Rel
Sebring IMSA 12 Hour 2023 Sebring IMSA 12 Hour 2023 collisions

There were no penalties in this session.

1st GTP-P2W 060 in LMH - Acura ARX-06 2023
0 Driver Swap. Best: 01:45.563, Potential: 01:44.959
Lap # Driver Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 GTP-P2W 060 03:28.707 02:22.817 00:42.633 00:23.257 1 M
2 GTP-P2W 060 01:46.631 00:41.548 00:41.774 00:23.309 0 M
3 GTP-P2W 060 01:48.403 00:41.079 00:41.719 00:25.605 2 M
4 GTP-P2W 060 01:46.246 00:41.118 00:42.048 00:23.080 0 M
5 GTP-P2W 060 06:45.770 05:39.936 00:42.542 00:23.292 1 M
6 GTP-P2W 060 01:46.319 00:41.015 00:42.111 00:23.193 1 M
7 GTP-P2W 060 01:46.545 00:40.853 00:42.170 00:23.522 0 M
8 GTP-P2W 060 01:45.848 00:40.927 00:41.918 00:23.003
S
0 M
9 GTP-P2W 060 01:45.563
L
L
00:40.755 00:41.688 00:23.120 0 M
10 GTP-P2W 060 01:45.901 00:40.484
S
S
00:41.472
S
S
00:23.945 0 M
2nd GTP-Kaliente 120 in LMH 2 - Porsche 963 2023
0 Driver Swap. Best: 01:46.983, Potential: 01:46.857
Lap # Driver Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 GTP-Kaliente 120 03:30.489 02:22.147 00:45.085 00:23.257 2 M
2 GTP-Kaliente 120 01:50.285 00:42.898 00:43.987 00:23.400 0 M
3 GTP-Kaliente 120 05:19.291 04:11.971 00:44.023 00:23.297 2 M
4 GTP-Kaliente 120 01:48.140 00:42.360 00:42.812 00:22.968 0 M
5 GTP-Kaliente 120 01:47.139 00:41.393 00:42.521
S
00:23.225 0 M
6 GTP-Kaliente 120 01:46.983
L
00:41.381
S
00:42.647 00:22.955
S
S
0 M
3rd LMP2-Racegear 047 in ACF - LMP2 2023 - Dallara P217 2017
0 Driver Swap. Best: 01:48.886, Potential: 01:48.581
Lap # Driver Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 LMP2-Racegear 047 03:21.966 02:13.777 00:44.307 00:23.882 1 M
2 LMP2-Racegear 047 01:49.845 00:42.408 00:43.663 00:23.774 0 M
3 LMP2-Racegear 047 01:49.997 00:42.317 00:43.767 00:23.913 0 M
4 LMP2-Racegear 047 01:49.514 00:42.388 00:43.263 00:23.863 0 M
5 LMP2-Racegear 047 01:48.970 00:42.213 00:42.956 00:23.801 0 M
6 LMP2-Racegear 047 01:49.536 00:42.170 00:43.358 00:24.008 0 M
7 LMP2-Racegear 047 01:48.886
L
00:42.120 00:42.875
S
00:23.891 0 M
8 LMP2-Racegear 047 01:48.968 00:42.206 00:42.949 00:23.813 0 M
9 LMP2-Racegear 047 01:48.974 00:42.262 00:42.953 00:23.759
S
0 M
10 LMP2-Racegear 047 31:11.526 30:03.557 00:43.903 00:24.066 1 M
11 LMP2-Racegear 047 01:49.214 00:42.192 00:43.235 00:23.787 0 M
12 LMP2-Racegear 047 02:31.986 01:23.968 00:43.596 00:24.422 3 M
13 LMP2-Racegear 047 01:50.195 00:42.714 00:43.569 00:23.912 0 M
14 LMP2-Racegear 047 01:49.303 00:41.947
S
00:43.452 00:23.904 0 M
15 LMP2-Racegear 047 01:49.949 00:42.652 00:43.340 00:23.957 0 M
4th LMP2-JGP 149 in ACF - LMP2 2023- Ligier JS P217 2017
0 Driver Swap. Best: 01:49.367, Potential: 01:49.106
Lap # Driver Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 LMP2-JGP 149 03:25.741 02:15.068 00:44.915 00:25.758 2 M
2 LMP2-JGP 149 01:52.069 00:44.195 00:43.732 00:24.142 1 M
3 LMP2-JGP 149 03:25.106 02:14.785 00:45.122 00:25.199 2 M
4 LMP2-JGP 149 01:50.711 00:42.739 00:43.812 00:24.160 1 M
5 LMP2-JGP 149 02:01.665 00:52.679 00:44.821 00:24.165 4 M
6 LMP2-JGP 149 01:50.384 00:42.920 00:43.398 00:24.066 0 M
7 LMP2-JGP 149 01:51.638 00:42.721 00:44.843 00:24.074 1 M
8 LMP2-JGP 149 02:02.727 00:46.618 00:51.732 00:24.377 2 M
9 LMP2-JGP 149 01:51.010 00:42.713 00:44.154 00:24.143 0 M
10 LMP2-JGP 149 04:21.833 03:13.110 00:44.036 00:24.687 1 M
11 LMP2-JGP 149 01:51.036 00:42.842 00:43.916 00:24.278 0 M
12 LMP2-JGP 149 01:54.664 00:45.351 00:45.098 00:24.215 3 M
13 LMP2-JGP 149 01:50.129 00:42.530 00:43.511 00:24.088 0 M
14 LMP2-JGP 149 05:08.891 04:00.312 00:44.073 00:24.506 5 M
15 LMP2-JGP 149 01:51.800 00:42.627 00:44.860 00:24.313 3 M
16 LMP2-JGP 149 02:02.164 00:53.831 00:43.830 00:24.503 2 M
17 LMP2-JGP 149 01:50.238 00:42.513 00:43.353 00:24.372 0 M
18 LMP2-JGP 149 01:49.853 00:42.389 00:43.493 00:23.971
S
0 M
19 LMP2-JGP 149 01:49.744 00:42.348 00:43.137
S
00:24.259 0 M
20 LMP2-JGP 149 01:50.147 00:42.364 00:43.789 00:23.994 0 M
21 LMP2-JGP 149 01:50.091 00:42.365 00:43.479 00:24.247 0 M
22 LMP2-JGP 149 04:36.286 03:27.288 00:43.911 00:25.087 1 M
23 LMP2-JGP 149 01:49.819 00:42.198 00:43.397 00:24.224 0 M
24 LMP2-JGP 149 01:51.007 00:42.688 00:44.096 00:24.223 2 M
25 LMP2-JGP 149 01:49.819 00:42.287 00:43.471 00:24.061 0 M
26 LMP2-JGP 149 01:51.502 00:43.304 00:43.668 00:24.530 0 M
27 LMP2-JGP 149 02:51.167 01:41.264 00:44.622 00:25.281 1 M
28 LMP2-JGP 149 01:50.433 00:42.356 00:43.696 00:24.381 0 M
29 LMP2-JGP 149 01:50.430 00:42.525 00:43.515 00:24.390 0 M
30 LMP2-JGP 149 01:51.343 00:42.628 00:44.095 00:24.620 0 M
31 LMP2-JGP 149 06:12.016 05:02.900 00:43.979 00:25.137 1 M
32 LMP2-JGP 149 01:50.044 00:42.305 00:43.633 00:24.106 0 M
33 LMP2-JGP 149 01:50.242 00:42.458 00:43.345 00:24.439 0 M
34 LMP2-JGP 149 04:16.649 03:06.765 00:44.559 00:25.325 1 M
35 LMP2-JGP 149 01:50.383 00:42.523 00:43.492 00:24.368 0 M
36 LMP2-JGP 149 01:50.224 00:42.422 00:43.569 00:24.233 0 M
37 LMP2-JGP 149 01:51.237 00:42.233 00:43.529 00:25.475 0 M
38 LMP2-JGP 149 01:50.794 00:42.570 00:43.307 00:24.917 0 M
39 LMP2-JGP 149 03:57.052 02:46.276 00:45.342 00:25.434 3 M
40 LMP2-JGP 149 01:49.967 00:42.233 00:43.457 00:24.277 0 M
41 LMP2-JGP 149 01:51.045 00:42.933 00:43.546 00:24.566 0 M
42 LMP2-JGP 149 01:57.702 00:42.029 00:44.461 00:31.212 3 M
43 LMP2-JGP 149 03:34.118 02:25.467 00:44.054 00:24.597 1 M
44 LMP2-JGP 149 01:50.037 00:42.392 00:43.471 00:24.174 0 M
45 LMP2-JGP 149 01:49.367
L
00:41.998
S
00:43.295 00:24.074 0 M
5th LMP3-AeroLab 167 in ACF - LMP3 Adess 03 EVO 2020
1 Driver Swap. Best: 01:57.635, Potential: 01:57.464
Lap # Driver Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 LMP3-AeroLab 167 04:42.173 03:23.334 00:51.970 00:26.869 1 M
2 LMP3-AeroLab 167 02:14.004 00:59.339 00:48.384 00:26.281 0 M
3 LMP3-AeroLab 167 03:21.833 02:07.872 00:47.249 00:26.712 0 M
4 LMP3-AeroLab 167 01:59.414 00:45.929 00:47.264 00:26.221 0 M
5 LMP3-AeroLab 167 02:00.850 00:48.094 00:46.575 00:26.181 0 M
6 LMP3-AeroLab 167 02:09.848 00:51.432 00:51.497 00:26.919 4 M
7 LMP3-AeroLab 167 02:00.674
C
00:46.933 00:46.877 00:26.864 1 M
8 LMP3-AeroLab 167 02:01.057 00:47.590 00:47.268 00:26.199 0 M
9 LMP3-AeroLab 167 02:01.200
C
00:46.833 00:47.933 00:26.434 2 M
10 LMP3-AeroLab 167 01:58.791 00:45.683 00:46.621 00:26.487 0 M
11 LMP3-AeroLab 167 01:58.291 00:45.737 00:46.305 00:26.249 0 M
12 LMP3-AeroLab 167 01:57.676 00:45.294
S
00:46.467 00:25.915
S
0 M
13 LMP3-AeroLab 167 01:57.635
L
00:45.388 00:46.255
S
00:25.992 0 M
14 LMP3-AeroLab 167 03:49.506 02:35.462 00:47.196 00:26.848 2 M
15 LMP3-AeroLab 167 01:59.051 00:46.458 00:46.579 00:26.014
S
0 M
16 LMP3-AeroLab 167 01:58.168
L
00:45.470
S
00:46.571
S
00:26.127 0 M
17 LMP3-AeroLab 167 01:59.355
C
00:46.923 00:46.255 00:26.177 2 M
18 LMP3-AeroLab 167 01:57.940
C
00:45.661 00:46.354 00:25.925 2 M
6th LMP3-AeroLab 162 in ACF - LMP3 Ligier JSP320 Nissan 2020
0 Driver Swap. Best: 01:57.773, Potential: 01:57.683
Lap # Driver Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 LMP3-AeroLab 162 09:09.087 06:03.174 00:53.581 02:12.332 3 M
2 LMP3-AeroLab 162 03:48.167 02:34.795 00:47.327 00:26.045
S
0 M
3 LMP3-AeroLab 162 02:01.588
C
00:46.433 00:49.014 00:26.141 1 M
4 LMP3-AeroLab 162 02:01.793
C
00:48.200 00:47.449 00:26.144 2 M
5 LMP3-AeroLab 162 02:07.645
C
00:50.025 00:51.223 00:26.397 3 M
6 LMP3-AeroLab 162 02:00.587
C
00:47.863 00:46.454 00:26.270 2 M
7 LMP3-AeroLab 162 02:00.913 00:47.581 00:47.084 00:26.248 0 M
8 LMP3-AeroLab 162 02:01.092 00:46.720 00:48.118 00:26.254 0 M
9 LMP3-AeroLab 162 02:00.492
C
00:46.939 00:47.029 00:26.524 2 M
10 LMP3-AeroLab 162 01:57.773
L
00:45.211
S
00:46.427
S
00:26.135 0 M
7th GTD-WATT 023 in GT3 EVO - AMG GT3 EVO 2020
0 Driver Swap. Best: 277:46:39.999, Potential: 00:00.000
Lap # Driver Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 GTD-WATT 023 03:32.667 02:13.358 00:51.796 00:27.513 2 M
8th GTP-Racetech 980 in LMH 2 - BMW M Hybrid V8 2023
0 Driver Swap. Best: 277:46:39.999, Potential: 00:00.000
Lap # Driver Lap Time Sector 1 Sector 2 Sector 3 Cuts Tyre
1 GTP-Racetech 980 02:42.771 01:35.891 00:42.391 00:24.489 1 M