Spa 2022

13 Jul 25 22:25 CST

TopRace #1 TDTM2025大师赛

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 LCZS66, the stig Mercedes AMG EVO DTM 2025 02:20.901
Tyre: MS 		02:36.456 29 laps / 31 cuts 23 - 6567
2 好修<(￣︶￣)↗_GO!_ BMW M4 DTM 2025 02:21.135
Tyre: MS 		02:31.803 12 laps / 1 cuts 26 - 416
3 LCZS66 Ferrari 296 DTM 2025 277:46:39.999
Tyre: ? 		00:00.000 3 laps / 6 cuts 7 - 38
4 大英警察来咯 BMW M4 DTM 2025 277:46:39.999
Tyre: ? 		00:00.000 1 laps / 12 cuts 26 - 416
#
Driver
Other Driver
Type
Impact Speed (Km/h)
Relative Position
World Position
Time
Show on Map
1 LCZS66 Collision with environment 23.7 X: 0.7 Y: -0.3 Z: 2.4 X: -233.3 Y: 13.9 Z: -865.2 19:46:49 (CST)
2 LCZS66 Collision with environment 76.3 X: -1.0 Y: -0.3 Z: 2.2 X: 182.0 Y: 20.2 Z: -356.0 19:49:20 (CST)
3 LCZS66 Collision with environment 51.0 X: -0.6 Y: -0.3 Z: 2.6 X: 182.7 Y: 20.4 Z: -354.6 19:50:10 (CST)
4 LCZS66 Collision with environment 2.3 X: -1.0 Y: -0.3 Z: 2.1 X: -24.1 Y: -0.8 Z: -667.1 20:32:43 (CST)
5 大英警察来咯 Collision with environment 123.5 X: 0.7 Y: 0.1 Z: 2.2 X: 434.2 Y: 40.3 Z: 23.2 20:35:02 (CST)
6 LCZS66 Collision with environment 24.0 X: -1.0 Y: -0.3 Z: 2.1 X: -385.6 Y: 24.2 Z: -931.7 20:35:18 (CST)
7 大英警察来咯 Collision with environment 47.2 X: 1.0 Y: -0.3 Z: 2.1 X: -383.4 Y: -20.1 Z: 885.6 20:36:32 (CST)
8 大英警察来咯 Collision with environment 18.8 X: -0.9 Y: 0.9 Z: -2.5 X: -397.1 Y: -18.9 Z: 861.9 20:36:42 (CST)
9 大英警察来咯 Collision with environment 7.7 X: -0.9 Y: 0.9 Z: -2.5 X: -390.8 Y: -18.5 Z: 845.3 20:36:47 (CST)
10 大英警察来咯 Collision with environment 0.4 X: -0.9 Y: 0.9 Z: -2.5 X: -390.2 Y: -18.5 Z: 845.0 20:36:52 (CST)
11 大英警察来咯 Collision with environment 97.1 X: -1.0 Y: -0.3 Z: 2.1 X: -611.1 Y: -25.8 Z: 741.0 20:37:12 (CST)
12 大英警察来咯 Collision with environment 33.2 X: -0.9 Y: -0.3 Z: 2.2 X: -124.6 Y: 15.1 Z: -470.5 20:37:52 (CST)
13 大英警察来咯 Collision with environment 8.0 X: 1.0 Y: -0.3 Z: 2.1 X: -196.3 Y: 19.3 Z: -584.0 20:37:57 (CST)
14 LCZS66 Collision with environment 42.6 X: -0.9 Y: -0.3 Z: 2.2 X: 334.0 Y: 29.5 Z: -173.7 20:39:28 (CST)
15 大英警察来咯 Collision with environment 144.5 X: 0.4 Y: -0.2 Z: 2.3 X: 435.8 Y: 40.3 Z: 28.0 20:40:07 (CST)
16 大英警察来咯 Collision with environment 57.6 X: -0.5 Y: -0.3 Z: 2.4 X: 441.1 Y: 43.2 Z: 99.3 20:40:12 (CST)
17 LCZS66 Collision with environment 3.2 X: -1.0 Y: 0.4 Z: 1.7 X: -169.6 Y: 10.2 Z: -819.5 20:43:03 (CST)
18 LCZS66 Collision with environment 0.0 X: 1.0 Y: -0.3 Z: 2.1 X: -357.1 Y: 22.1 Z: -825.6 20:45:59 (CST)
19 LCZS66 Collision with environment 46.3 X: -1.0 Y: -0.3 Z: 2.1 X: -151.6 Y: 16.4 Z: -515.0 20:50:49 (CST)
20 LCZS66 Collision with environment 77.0 X: -1.0 Y: -0.3 Z: 2.2 X: 182.8 Y: 20.3 Z: -354.6 20:56:15 (CST)
21 LCZS66 Collision with environment 13.2 X: -1.1 Y: 0.4 Z: 0.8 X: 531.0 Y: 72.5 Z: 903.6 21:01:54 (CST)
22 LCZS66 Collision with environment 12.6 X: -1.1 Y: 0.4 Z: 0.8 X: 547.3 Y: 72.9 Z: 890.2 21:07:54 (CST)
23 LCZS66 Collision with environment 11.7 X: -0.9 Y: 0.7 Z: -2.1 X: 604.1 Y: 71.1 Z: 658.5 21:13:21 (CST)
24 LCZS66 Collision with environment 54.8 X: -0.9 Y: -0.3 Z: 2.2 X: -353.1 Y: -19.2 Z: 833.9 21:16:24 (CST)
25 LCZS66 Collision with environment 17.9 X: -1.0 Y: 0.9 Z: -2.4 X: 570.1 Y: 63.4 Z: 499.3 21:26:14 (CST)
26 LCZS66 Collision with environment 190.4 X: 0.8 Y: 0.9 Z: -2.3 X: 644.4 Y: 72.4 Z: 666.3 21:26:19 (CST)
27 the stig Collision with environment 4.4 X: -1.0 Y: 0.3 Z: 0.1 X: -433.5 Y: 27.9 Z: -952.6 21:36:22 (CST)
28 好修<(￣︶￣)↗_GO!_ Collision with environment 39.8 X: 0.9 Y: -0.3 Z: 2.2 X: -407.7 Y: 24.8 Z: -927.2 21:44:27 (CST)
29 the stig Collision with environment 5.1 X: -1.0 Y: 0.4 Z: 1.2 X: -402.8 Y: 24.7 Z: -912.3 21:44:38 (CST)
30 the stig Collision with environment 7.1 X: 1.0 Y: -0.3 Z: 2.1 X: -241.7 Y: 18.2 Z: -598.4 21:51:48 (CST)
31 the stig Collision with environment 13.6 X: -1.0 Y: -0.3 Z: 2.1 X: -255.9 Y: 19.7 Z: -660.6 21:51:58 (CST)
32 the stig Collision with environment 37.9 X: 0.7 Y: -0.3 Z: 2.4 X: -172.5 Y: 15.0 Z: -489.0 21:58:38 (CST)
33 the stig 好修<(￣︶￣)↗_GO!_ Collision with car 57.2 X: 0.6 Y: -0.1 Z: 2.3 X: -437.9 Y: 27.9 Z: -920.4 21:58:58 (CST)
34 好修<(￣︶￣)↗_GO!_ the stig Collision with car 60.8 X: -0.6 Y: -0.0 Z: -2.4 X: -437.6 Y: 28.0 Z: -920.6 21:59:02 (CST)
35 好修<(￣︶￣)↗_GO!_ the stig Collision with car 13.2 X: 1.0 Y: -0.2 Z: 1.8 X: -210.4 Y: 11.4 Z: -426.9 22:07:32 (CST)
36 the stig 好修<(￣︶￣)↗_GO!_ Collision with car 26.6 X: -1.0 Y: -0.3 Z: 0.2 X: -210.5 Y: 11.3 Z: -426.5 22:07:34 (CST)
37 好修<(￣︶￣)↗_GO!_ the stig Collision with car 21.6 X: 0.6 Y: -0.0 Z: -2.4 X: -97.3 Y: 5.2 Z: -753.4 22:08:02 (CST)
38 the stig 好修<(￣︶￣)↗_GO!_ Collision with car 17.5 X: -0.7 Y: -0.1 Z: 2.3 X: -96.9 Y: 5.1 Z: -753.1 22:08:04 (CST)
39 好修<(￣︶￣)↗_GO!_ Collision with environment 7.0 X: -1.0 Y: -0.3 Z: 1.8 X: -55.1 Y: 1.4 Z: -700.9 22:08:07 (CST)
40 the stig Collision with environment 72.6 X: 0.9 Y: 0.9 Z: -2.4 X: 394.5 Y: 42.7 Z: 916.2 22:15:54 (CST)
41 the stig Collision with environment 1.4 X: 1.0 Y: -0.3 Z: 2.1 X: -390.2 Y: 22.8 Z: -878.3 22:19:49 (CST)
Car Env Rel
Spa 2022 Spa 2022 collisions

There were no penalties in this session.

1st LCZS66, the stig in Mercedes AMG EVO DTM 2025
Best: 02:20.901, Potential: 02:19.848
Lap #
Lap Time
Sector 1
Sector 2
Sector 3
Cuts
Tyre
Road (°C)
Ambient (°C)
Grip (%)
Wind Speed (m/s)
Wind Direction (°)
1 02:46.605 01:02.115 01:05.421 00:39.069 0 MS 30.0 20.0 99.4 0.0 0.0
2 02:26.915
C
00:41.454 01:06.491 00:38.970 2 MS 30.0 20.0 99.4 0.0 0.0
3 03:14.450 01:16.582 01:19.339 00:38.529 2 MS 30.0 20.0 99.4 0.0 0.0
4 02:58.710 01:10.511 01:07.626 00:40.573 1 MS 30.0 20.0 99.4 0.0 0.0
5 02:31.375
C
00:42.547 01:08.467 00:40.361 1 MS 30.0 20.0 99.4 0.0 0.0
6 02:26.993 00:42.004 01:06.375 00:38.614 0 MS 30.0 20.0 99.4 0.0 0.0
7 02:28.827
C
00:41.205 01:08.512 00:39.110 2 MS 30.0 20.0 99.4 0.0 0.0
8 02:38.350 00:41.980 01:07.558 00:48.812 0 MS 30.0 20.0 99.4 0.0 0.0
9 03:53.717 02:06.838 01:05.867 00:41.012 0 MS 30.0 20.0 99.4 0.0 0.0
10 03:53.206 01:38.242 01:25.954 00:49.010 2 MS 30.0 20.0 99.4 0.0 0.0
11 02:56.208 01:12.275 01:06.038 00:37.895 2 MS 30.0 20.0 99.4 0.0 0.0
12 02:53.489 01:04.351 01:08.287 00:40.851 2 MS 30.0 20.0 99.4 0.0 0.0
13 02:51.469 01:05.796 01:05.375 00:40.298 1 MS 30.0 20.0 99.4 0.0 0.0
14 02:24.204
C
00:41.221 01:04.588 00:38.395 1 MS 30.0 20.0 99.4 0.0 0.0
15 02:24.116 00:41.355 01:04.745 00:38.016 0 MS 30.0 20.0 99.5 0.0 0.0
16 02:38.631 00:56.638 01:04.575 00:37.418 1 MS 30.0 20.0 99.5 0.0 0.0
17 02:46.284 00:40.949 01:26.823 00:38.512 1 MS 30.0 20.0 99.5 0.0 0.0
18 04:23.668 02:40.308 01:04.579 00:38.781 2 MS 30.0 20.0 99.5 0.0 0.0
19 02:24.388
C
00:41.091 01:04.156 00:39.141 1 MS 30.0 20.0 99.5 0.0 0.0
20 02:34.248
C
00:40.766 01:03.927 00:49.555 2 MS 30.0 20.0 99.5 0.0 0.0
21 04:28.901 02:39.583 01:06.524 00:42.794 2 MS 30.0 20.0 99.5 0.0 0.0
22 02:29.290 00:40.629 01:03.882 00:44.779 0 MS 30.0 20.0 99.5 0.0 0.0
23 04:06.695 02:25.149 01:04.341 00:37.205 1 MS 30.0 20.0 99.5 0.0 0.0
24 02:21.365 00:40.854 01:03.152 00:37.359 0 MS 30.0 20.0 99.5 0.0 0.0
25 02:24.655 00:40.808 01:03.927 00:39.920 0 MS 30.0 20.0 99.5 0.0 0.0
26 02:28.717 00:47.066 01:04.719 00:36.932
S
S
0 MS 30.0 20.0 99.5 0.0 0.0
27 02:20.901
L
L
00:40.321
S
S
01:02.595
S
S
00:37.985 0 MS 30.0 20.0 99.5 0.0 0.0
28 10:24.357 08:42.418 01:04.773 00:37.166 3 MS 30.0 20.0 99.5 0.0 0.0
29 02:25.183
C
00:40.288 01:05.489 00:39.406 2 MS 30.0 20.0 99.5 0.0 0.0
2nd 好修<(￣︶￣)↗_GO!_ in BMW M4 DTM 2025
Best: 02:21.135, Potential: 02:20.557
Lap #
Lap Time
Sector 1
Sector 2
Sector 3
Cuts
Tyre
Road (°C)
Ambient (°C)
Grip (%)
Wind Speed (m/s)
Wind Direction (°)
1 02:56.504 01:11.816 01:06.403 00:38.285 0 MS 30.0 20.0 99.5 0.0 0.0
2 02:27.445 00:42.096 01:06.649 00:38.700 0 MS 30.0 20.0 99.5 0.0 0.0
3 02:22.719 00:41.045 01:04.301 00:37.373 0 MS 30.0 20.0 99.5 0.0 0.0
4 03:31.690 01:42.754 01:04.256 00:44.680 0 MS 30.0 20.0 99.5 0.0 0.0
5 02:21.135
L
00:40.992 01:02.828
S
00:37.315 0 MS 30.0 20.0 99.5 0.0 0.0
6 04:16.617 02:35.110 01:04.260 00:37.247 0 MS 30.0 20.0 99.5 0.0 0.0
7 02:21.722 00:40.765 01:03.959 00:36.998
S
0 MS 30.0 20.0 99.5 0.0 0.0
8 02:23.746 00:41.403 01:03.575 00:38.768 0 MS 30.0 20.0 99.5 0.0 0.0
9 02:29.122 00:46.949 01:05.088 00:37.085 0 MS 30.0 20.0 99.5 0.0 0.0
10 02:24.131 00:40.731
S
01:06.325 00:37.075 0 MS 30.0 20.0 99.5 0.0 0.0
11 10:22.294 08:39.456 01:05.510 00:37.328 1 MS 30.0 20.0 99.5 0.0 0.0
12 02:24.518 00:42.540 01:04.664 00:37.314 0 MS 30.0 20.0 99.5 0.0 0.0
3rd LCZS66 in Ferrari 296 DTM 2025
Best: 277:46:39.999, Potential: 00:00.000
Lap #
Lap Time
Sector 1
Sector 2
Sector 3
Cuts
Tyre
Road (°C)
Ambient (°C)
Grip (%)
Wind Speed (m/s)
Wind Direction (°)
1 03:50.581 02:05.087 01:06.650 00:38.844 4 MS 30.0 20.0 99.4 0.0 0.0
2 02:24.491 00:41.702 01:05.862 00:36.927 1 MS 30.0 20.0 99.4 0.0 0.0
3 03:04.717 01:21.118 01:05.947 00:37.652 1 MS 30.0 20.0 99.4 0.0 0.0
4th 大英警察来咯 in BMW M4 DTM 2025
Best: 277:46:39.999, Potential: 00:00.000
Lap #
Lap Time
Sector 1
Sector 2
Sector 3
Cuts
Tyre
Road (°C)
Ambient (°C)
Grip (%)
Wind Speed (m/s)
Wind Direction (°)
1 04:05.255 01:17.644 01:52.442 00:55.169 12 MS 30.0 20.0 99.4 0.0 0.0