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Race result



Game GTR2 (1.000)
Session Race
Date 2019-08-01 17:21:15 (UTC)
Track GP, GlenGP
Length 5433.7998m
Winner Silvio B
Led most laps Silvio B
Best lap Kurt T (01:56.2080)
Lasted laps 15
Host Unknown or offline
Pos Driver Vehicle Laps Time/Retired Best lap Consistency Led Aids
1 Silvio B BMW M3 e30 15   29:58.3700 01:58.5150 99.14% 15 -
2 Kurt T Opel Vectra 15 +00:08.6790 01:56.2080 96.66% 0 -
3 Sean W BMW M3 e30 15 +00:25.7290 01:58.2910 97.83% 0 -
4 Jeff K Opel Vectra 15 +00:31.3320 01:57.2230 95.91% 0 -
5 Armin H Toyota Carina 15 +00:31.7620 01:58.6650 98.01% 0 -
6 Andreas L Opel Vectra 15 +00:32.8030 01:57.6650 96.64% 0 -
7 Morio N Toyota Carina 15 +00:38.0410 01:58.4670 97.16% 0 -
8 Hiro M Toyota Carina 15 +00:38.5780 01:58.5300 97.41% 0 -
9 Frank S BMW 318i 15 +00:38.9030 01:58.8600 97.75% 0 -
10 Nicholas G BMW M3 e30 15 +00:39.7670 01:58.2830 97.13% 0 -
11 Chris H BMW 318i 15 +00:40.1830 01:59.1850 98.01% 0 -
12 Charles K BMW 318i 15 +00:40.4940 01:59.3100 98.15% 0 -
13 Kayne S Ford Sierra Sapphire 15 +00:42.3220 01:58.2390 96.97% 0 -
14 Thomas W BMW 318i 15 +00:46.8220 01:59.1710 97.59% 0 -
15 Nathan N Peugeot 405 15 +00:48.3200 02:00.5450 98.80% 0 -
16 Fabien G Mazda 323F 15 +00:48.4980 02:00.1310 98.44% 0 -
17 Laurence B Peugeot 405 15 +00:49.2000 02:00.0560 98.35% 0 -
18 Franck F Peugeot 405 15 +01:20.2120 02:02.2960 98.46% 0 -
19 Guillaume G Mazda 323F 15 +01:20.5870 02:02.7660 98.89% 0 -
20 Satoru M Volkswagen Golf Mk III 15 +01:22.8300 02:01.9520 98.11% 0 -
21 Katsutomo K Mercedes-Benz 190E 15 +01:23.9320 02:00.9450 97.08% 0 -
22 Spectactor C Hyundai Lantra 0 DNF (reason 0) - - 0 -

Race laps

■ Bad lap, 107% rule compared to the overall best lap of the session. Excludes first lap for race sessions
■ Personal best lap/sector
■ Overall best lap/sector for a lap
■ Overall best lap/sector for a lap and personal best lap/sector
■ Overall best lap/sector
■ Invalid for best lap
(P) Pit lap
Jump to: Silvio B - Kurt T - Sean W - Jeff K - Armin H - Andreas L - Morio N - Hiro M - Frank S - Nicholas G - Chris H - Charles K - Kayne S - Thomas W - Nathan N - Fabien G - Laurence B - Franck F - Guillaume G - Satoru M - Katsutomo K - Spectactor C

Silvio B
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 BMW M3 e30 02:05.8840 - - -
2 BMW M3 e30 01:59.6620 - - -
3 BMW M3 e30 01:58.5150 - - -
4 BMW M3 e30 01:59.4290 - - -
5 BMW M3 e30 01:59.6030 - - -
6 BMW M3 e30 01:58.7360 - - -
7 BMW M3 e30 01:59.5260 - - -
8 BMW M3 e30 01:59.7360 - - -
9 BMW M3 e30 01:59.8070 - - -
10 BMW M3 e30 01:58.8730 - - -
11 BMW M3 e30 01:59.5380 - - -
12 BMW M3 e30 01:59.7880 - - -
13 BMW M3 e30 02:00.0600 - - -
14 BMW M3 e30 02:00.0180 - - -
15 BMW M3 e30 01:59.1960 - - -

Kurt T
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 Opel Vectra 02:09.7420 - - -
2 Opel Vectra 01:58.9490 - - -
3 Opel Vectra 02:03.5880 - - -
4 Opel Vectra 01:58.2150 - - -
5 Opel Vectra 02:00.2440 - - -
6 Opel Vectra 02:00.3420 - - -
7 Opel Vectra 02:03.2010 - - -
8 Opel Vectra 01:58.0060 - - -
9 Opel Vectra 02:04.3440 - - -
10 Opel Vectra 01:56.2900 - - -
11 Opel Vectra 01:56.2080 - - -
12 Opel Vectra 01:59.7820 - - -
13 Opel Vectra 02:02.3230 - - -
14 Opel Vectra 01:58.4420 - - -
15 Opel Vectra 01:57.3740 - - -

Sean W
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 BMW M3 e30 02:14.5850 - - -
2 BMW M3 e30 02:02.7390 - - -
3 BMW M3 e30 01:58.8140 - - -
4 BMW M3 e30 01:59.9630 - - -
5 BMW M3 e30 01:59.0820 - - -
6 BMW M3 e30 02:00.4040 - - -
7 BMW M3 e30 02:02.1490 - - -
8 BMW M3 e30 02:02.5630 - - -
9 BMW M3 e30 02:00.1290 - - -
10 BMW M3 e30 01:58.4990 - - -
11 BMW M3 e30 02:04.1020 - - -
12 BMW M3 e30 02:03.0370 - - -
13 BMW M3 e30 01:58.2910 - - -
14 BMW M3 e30 02:00.1470 - - -
15 BMW M3 e30 01:59.5950 - - -

Jeff K
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 Opel Vectra 02:06.2560 - - -
2 Opel Vectra 02:01.6330 - - -
3 Opel Vectra 02:00.8860 - - -
4 Opel Vectra 01:57.2230 - - -
5 Opel Vectra 02:00.8970 - - -
6 Opel Vectra 02:03.1060 - - -
7 Opel Vectra 02:01.3330 - - -
8 Opel Vectra 02:00.2210 - - -
9 Opel Vectra 02:05.3030 - - -
10 Opel Vectra 01:58.9010 - - -
11 Opel Vectra 02:05.6890 - - -
12 Opel Vectra 02:03.8900 - - -
13 Opel Vectra 01:59.5980 - - -
14 Opel Vectra 02:04.4370 - - -
15 Opel Vectra 02:00.3280 - - -

Armin H
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 Toyota Carina 02:18.1070 - - -
2 Toyota Carina 02:00.1230 - - -
3 Toyota Carina 02:00.6220 - - -
4 Toyota Carina 02:00.6540 - - -
5 Toyota Carina 02:01.6020 - - -
6 Toyota Carina 01:58.6650 - - -
7 Toyota Carina 01:58.9050 - - -
8 Toyota Carina 02:01.8520 - - -
9 Toyota Carina 02:02.6780 - - -
10 Toyota Carina 02:00.9830 - - -
11 Toyota Carina 01:59.7210 - - -
12 Toyota Carina 02:02.5150 - - -
13 Toyota Carina 02:01.3590 - - -
14 Toyota Carina 02:02.1480 - - -
15 Toyota Carina 02:00.1970 - - -

Andreas L
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 Opel Vectra 02:12.4480 - - -
2 Opel Vectra 01:58.4960 - - -
3 Opel Vectra 01:59.3800 - - -
4 Opel Vectra 01:57.6650 - - -
5 Opel Vectra 01:59.2720 - - -
6 Opel Vectra 02:04.4620 - - -
7 Opel Vectra 02:03.1250 - - -
8 Opel Vectra 01:58.7530 - - -
9 Opel Vectra 02:03.9930 - - -
10 Opel Vectra 02:00.0200 - - -
11 Opel Vectra 02:04.5060 - - -
12 Opel Vectra 02:03.5880 - - -
13 Opel Vectra 02:03.7660 - - -
14 Opel Vectra 02:00.6910 - - -
15 Opel Vectra 02:01.0090 - - -

Morio N
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 Toyota Carina 02:14.1370 - - -
2 Toyota Carina 02:02.6320 - - -
3 Toyota Carina 01:58.7360 - - -
4 Toyota Carina 01:58.8630 - - -
5 Toyota Carina 02:00.4320 - - -
6 Toyota Carina 02:00.0990 - - -
7 Toyota Carina 02:02.4210 - - -
8 Toyota Carina 02:01.7990 - - -
9 Toyota Carina 02:00.6450 - - -
10 Toyota Carina 01:58.4670 - - -
11 Toyota Carina 02:04.4670 - - -
12 Toyota Carina 02:04.2930 - - -
13 Toyota Carina 02:02.8190 - - -
14 Toyota Carina 02:02.5480 - - -
15 Toyota Carina 02:04.0530 - - -

Hiro M
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 Toyota Carina 02:17.6410 - - -
2 Toyota Carina 02:00.3530 - - -
3 Toyota Carina 01:59.0140 - - -
4 Toyota Carina 02:01.4250 - - -
5 Toyota Carina 02:02.0920 - - -
6 Toyota Carina 01:58.5300 - - -
7 Toyota Carina 01:59.9760 - - -
8 Toyota Carina 02:00.6740 - - -
9 Toyota Carina 02:01.4580 - - -
10 Toyota Carina 01:58.6610 - - -
11 Toyota Carina 02:03.5610 - - -
12 Toyota Carina 02:06.6710 - - -
13 Toyota Carina 02:00.1290 - - -
14 Toyota Carina 02:02.3900 - - -
15 Toyota Carina 02:04.3740 - - -

Frank S
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 BMW 318i 02:18.4920 - - -
2 BMW 318i 02:02.2770 - - -
3 BMW 318i 02:00.5430 - - -
4 BMW 318i 01:59.1110 - - -
5 BMW 318i 02:01.6180 - - -
6 BMW 318i 01:58.8600 - - -
7 BMW 318i 01:59.3460 - - -
8 BMW 318i 02:00.8640 - - -
9 BMW 318i 02:01.8430 - - -
10 BMW 318i 01:59.5850 - - -
11 BMW 318i 02:01.2750 - - -
12 BMW 318i 02:07.1640 - - -
13 BMW 318i 02:01.5840 - - -
14 BMW 318i 02:01.4670 - - -
15 BMW 318i 02:03.2430 - - -

Nicholas G
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 BMW M3 e30 02:18.1060 - - -
2 BMW M3 e30 02:01.1080 - - -
3 BMW M3 e30 02:00.7560 - - -
4 BMW M3 e30 02:00.0860 - - -
5 BMW M3 e30 02:04.2970 - - -
6 BMW M3 e30 01:59.8160 - - -
7 BMW M3 e30 02:01.3990 - - -
8 BMW M3 e30 02:02.1430 - - -
9 BMW M3 e30 01:58.2830 - - -
10 BMW M3 e30 01:58.8540 - - -
11 BMW M3 e30 01:59.6130 - - -
12 BMW M3 e30 02:06.0230 - - -
13 BMW M3 e30 02:01.4940 - - -
14 BMW M3 e30 02:01.4960 - - -
15 BMW M3 e30 02:04.6620 - - -

Chris H
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 BMW 318i 02:19.0520 - - -
2 BMW 318i 02:02.6370 - - -
3 BMW 318i 02:00.2090 - - -
4 BMW 318i 01:59.3650 - - -
5 BMW 318i 02:03.7520 - - -
6 BMW 318i 01:59.9300 - - -
7 BMW 318i 02:01.0840 - - -
8 BMW 318i 02:02.2550 - - -
9 BMW 318i 01:59.1850 - - -
10 BMW 318i 01:59.3740 - - -
11 BMW 318i 01:59.7420 - - -
12 BMW 318i 02:04.8130 - - -
13 BMW 318i 02:01.3950 - - -
14 BMW 318i 02:02.0790 - - -
15 BMW 318i 02:03.6800 - - -

Charles K
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 BMW 318i 02:19.8510 - - -
2 BMW 318i 02:04.6960 - - -
3 BMW 318i 01:59.8470 - - -
4 BMW 318i 02:00.2150 - - -
5 BMW 318i 02:02.9630 - - -
6 BMW 318i 02:03.8580 - - -
7 BMW 318i 01:59.3100 - - -
8 BMW 318i 02:00.2980 - - -
9 BMW 318i 02:00.3150 - - -
10 BMW 318i 02:00.3680 - - -
11 BMW 318i 02:00.6280 - - -
12 BMW 318i 02:00.5220 - - -
13 BMW 318i 02:00.7360 - - -
14 BMW 318i 02:02.1100 - - -
15 BMW 318i 02:03.1450 - - -

Kayne S
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 Ford Sierra Sapphire 02:18.8310 - - -
2 Ford Sierra Sapphire 02:02.2990 - - -
3 Ford Sierra Sapphire 01:58.2390 - - -
4 Ford Sierra Sapphire 02:01.1240 - - -
5 Ford Sierra Sapphire 02:05.6850 - - -
6 Ford Sierra Sapphire 02:04.2120 - - -
7 Ford Sierra Sapphire 01:58.6820 - - -
8 Ford Sierra Sapphire 01:59.5690 - - -
9 Ford Sierra Sapphire 01:59.9350 - - -
10 Ford Sierra Sapphire 01:58.8510 - - -
11 Ford Sierra Sapphire 02:06.9290 - - -
12 Ford Sierra Sapphire 02:00.0070 - - -
13 Ford Sierra Sapphire 02:01.3750 - - -
14 Ford Sierra Sapphire 02:05.2820 - - -
15 Ford Sierra Sapphire 01:59.6740 - - -

Thomas W
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 BMW 318i 02:19.4910 - - -
2 BMW 318i 02:02.8770 - - -
3 BMW 318i 02:00.3390 - - -
4 BMW 318i 01:59.1710 - - -
5 BMW 318i 02:04.8860 - - -
6 BMW 318i 02:05.1350 - - -
7 BMW 318i 01:59.3850 - - -
8 BMW 318i 02:00.1400 - - -
9 BMW 318i 02:00.4790 - - -
10 BMW 318i 02:00.1550 - - -
11 BMW 318i 02:02.7930 - - -
12 BMW 318i 02:00.6630 - - -
13 BMW 318i 02:00.4500 - - -
14 BMW 318i 02:03.5590 - - -
15 BMW 318i 02:05.6690 - - -

Nathan N
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 Peugeot 405 02:20.2550 - - -
2 Peugeot 405 02:05.4150 - - -
3 Peugeot 405 02:01.0650 - - -
4 Peugeot 405 02:00.5450 - - -
5 Peugeot 405 02:01.3840 - - -
6 Peugeot 405 02:05.3240 - - -
7 Peugeot 405 02:01.2170 - - -
8 Peugeot 405 02:01.5330 - - -
9 Peugeot 405 02:01.2660 - - -
10 Peugeot 405 02:01.3330 - - -
11 Peugeot 405 02:00.9000 - - -
12 Peugeot 405 02:01.0870 - - -
13 Peugeot 405 02:00.7950 - - -
14 Peugeot 405 02:02.2600 - - -
15 Peugeot 405 02:02.3120 - - -

Fabien G
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 Mazda 323F 02:20.6360 - - -
2 Mazda 323F 02:04.5870 - - -
3 Mazda 323F 02:00.1310 - - -
4 Mazda 323F 02:00.6030 - - -
5 Mazda 323F 02:01.0630 - - -
6 Mazda 323F 02:05.7530 - - -
7 Mazda 323F 02:01.3730 - - -
8 Mazda 323F 02:01.4920 - - -
9 Mazda 323F 02:01.0110 - - -
10 Mazda 323F 02:00.6440 - - -
11 Mazda 323F 02:00.6350 - - -
12 Mazda 323F 02:00.7800 - - -
13 Mazda 323F 02:02.0410 - - -
14 Mazda 323F 02:02.5820 - - -
15 Mazda 323F 02:03.5370 - - -

Laurence B
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 Peugeot 405 02:21.0200 - - -
2 Peugeot 405 02:05.0490 - - -
3 Peugeot 405 02:00.0560 - - -
4 Peugeot 405 02:00.2250 - - -
5 Peugeot 405 02:01.6630 - - -
6 Peugeot 405 02:05.1980 - - -
7 Peugeot 405 02:01.1940 - - -
8 Peugeot 405 02:01.5950 - - -
9 Peugeot 405 02:01.2540 - - -
10 Peugeot 405 02:00.6000 - - -
11 Peugeot 405 02:00.4800 - - -
12 Peugeot 405 02:01.0630 - - -
13 Peugeot 405 02:01.6480 - - -
14 Peugeot 405 02:02.9450 - - -
15 Peugeot 405 02:03.5800 - - -

Franck F
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 Peugeot 405 02:22.0270 - - -
2 Peugeot 405 02:06.0020 - - -
3 Peugeot 405 02:02.8350 - - -
4 Peugeot 405 02:03.1750 - - -
5 Peugeot 405 02:02.2960 - - -
6 Peugeot 405 02:03.2690 - - -
7 Peugeot 405 02:08.4330 - - -
8 Peugeot 405 02:04.2070 - - -
9 Peugeot 405 02:02.5570 - - -
10 Peugeot 405 02:03.3960 - - -
11 Peugeot 405 02:03.6740 - - -
12 Peugeot 405 02:02.7490 - - -
13 Peugeot 405 02:03.6090 - - -
14 Peugeot 405 02:06.0670 - - -
15 Peugeot 405 02:04.2870 - - -

Guillaume G
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 Mazda 323F 02:22.5270 - - -
2 Mazda 323F 02:06.1610 - - -
3 Mazda 323F 02:03.0870 - - -
4 Mazda 323F 02:02.7660 - - -
5 Mazda 323F 02:02.9490 - - -
6 Mazda 323F 02:03.2020 - - -
7 Mazda 323F 02:08.8680 - - -
8 Mazda 323F 02:03.2080 - - -
9 Mazda 323F 02:02.9530 - - -
10 Mazda 323F 02:02.7660 - - -
11 Mazda 323F 02:03.7050 - - -
12 Mazda 323F 02:05.8310 - - -
13 Mazda 323F 02:03.2750 - - -
14 Mazda 323F 02:04.2630 - - -
15 Mazda 323F 02:03.3960 - - -

Satoru M
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 Volkswagen Golf Mk III 02:23.8570 - - -
2 Volkswagen Golf Mk III 02:05.5410 - - -
3 Volkswagen Golf Mk III 02:03.6900 - - -
4 Volkswagen Golf Mk III 02:02.4160 - - -
5 Volkswagen Golf Mk III 02:01.9520 - - -
6 Volkswagen Golf Mk III 02:02.9810 - - -
7 Volkswagen Golf Mk III 02:09.3530 - - -
8 Volkswagen Golf Mk III 02:03.3870 - - -
9 Volkswagen Golf Mk III 02:03.3960 - - -
10 Volkswagen Golf Mk III 02:02.8190 - - -
11 Volkswagen Golf Mk III 02:04.1220 - - -
12 Volkswagen Golf Mk III 02:03.9410 - - -
13 Volkswagen Golf Mk III 02:03.2930 - - -
14 Volkswagen Golf Mk III 02:04.3050 - - -
15 Volkswagen Golf Mk III 02:06.1450 - - -

Katsutomo K
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
1 Mercedes-Benz 190E 02:23.0870 - - -
2 Mercedes-Benz 190E 02:05.3010 - - -
3 Mercedes-Benz 190E 02:02.9100 - - -
4 Mercedes-Benz 190E 02:04.9120 - - -
5 Mercedes-Benz 190E 02:01.6880 - - -
6 Mercedes-Benz 190E 02:03.2270 - - -
7 Mercedes-Benz 190E 02:09.0230 - - -
8 Mercedes-Benz 190E 02:03.4570 - - -
9 Mercedes-Benz 190E 02:03.5320 - - -
10 Mercedes-Benz 190E 02:02.8360 - - -
11 Mercedes-Benz 190E 02:04.9000 - - -
12 Mercedes-Benz 190E 02:11.4300 - - -
13 Mercedes-Benz 190E 02:02.8990 - - -
14 Mercedes-Benz 190E 02:00.9450 - - -
15 Mercedes-Benz 190E 02:02.1540 - - -

Spectactor C
Lap Vehicle Time Sector 1 Sector 2 Sector 3 Aids
No laps for this driver

Race best laps

Overall top (20)
Driver Vehicle Time Gap
Kurt T Opel Vectra 01:56.2080
Kurt T Opel Vectra 01:56.2900 0.082
Jeff K Opel Vectra 01:57.2230 1.015
Kurt T Opel Vectra 01:57.3740 1.166
Andreas L Opel Vectra 01:57.6650 1.457
Kurt T Opel Vectra 01:58.0060 1.798
Kurt T Opel Vectra 01:58.2150 2.007
Kayne S Ford Sierra Sapphire 01:58.2390 2.031
Nicholas G BMW M3 e30 01:58.2830 2.075
Sean W BMW M3 e30 01:58.2910 2.083
Kurt T Opel Vectra 01:58.4420 2.234
Morio N Toyota Carina 01:58.4670 2.259
Andreas L Opel Vectra 01:58.4960 2.288
Sean W BMW M3 e30 01:58.4990 2.291
Silvio B BMW M3 e30 01:58.5150 2.307
Hiro M Toyota Carina 01:58.5300 2.322
Hiro M Toyota Carina 01:58.6610 2.453
Armin H Toyota Carina 01:58.6650 2.457
Kayne S Ford Sierra Sapphire 01:58.6820 2.474
Silvio B BMW M3 e30 01:58.7360 2.528
Per driver
Driver Vehicle Time Gap
Kurt T Opel Vectra 01:56.2080
Jeff K Opel Vectra 01:57.2230 1.015
Andreas L Opel Vectra 01:57.6650 1.457
Kayne S Ford Sierra Sapphire 01:58.2390 2.031
Nicholas G BMW M3 e30 01:58.2830 2.075
Sean W BMW M3 e30 01:58.2910 2.083
Morio N Toyota Carina 01:58.4670 2.259
Silvio B BMW M3 e30 01:58.5150 2.307
Hiro M Toyota Carina 01:58.5300 2.322
Armin H Toyota Carina 01:58.6650 2.457
Frank S BMW 318i 01:58.8600 2.652
Thomas W BMW 318i 01:59.1710 2.963
Chris H BMW 318i 01:59.1850 2.977
Charles K BMW 318i 01:59.3100 3.102
Laurence B Peugeot 405 02:00.0560 3.848
Fabien G Mazda 323F 02:00.1310 3.923
Nathan N Peugeot 405 02:00.5450 4.337
Katsutomo K Mercedes-Benz 190E 02:00.9450 4.737
Satoru M Volkswagen Golf Mk III 02:01.9520 5.744
Franck F Peugeot 405 02:02.2960 6.088
Guillaume G Mazda 323F 02:02.7660 6.558

Race consistency

Based on best lap minus average non-best. Pit laps, first lap and laps slower than 21 seconds are ignored.

Driver Vehicle Consistency
Silvio B BMW M3 e30 99.14% <> 1.0213
Guillaume G Mazda 323F 98.89% <> 1.362
Nathan N Peugeot 405 98.80% <> 1.4466
Fabien G Mazda 323F 98.44% <> 1.8768
Franck F Peugeot 405 98.46% <> 1.8778
Laurence B Peugeot 405 98.35% <> 1.982
Charles K BMW 318i 98.15% <> 2.2055
Satoru M Volkswagen Golf Mk III 98.11% <> 2.3087
Armin H Toyota Carina 98.01% <> 2.3626
Chris H BMW 318i 98.01% <> 2.3777
Sean W BMW M3 e30 97.83% <> 2.5723
Frank S BMW 318i 97.75% <> 2.6723
Thomas W BMW 318i 97.59% <> 2.8698
Hiro M Toyota Carina 97.41% <> 3.0683
Morio N Toyota Carina 97.16% <> 3.3643
Nicholas G BMW M3 e30 97.13% <> 3.3898
Katsutomo K Mercedes-Benz 190E 97.08% <> 3.5372
Kayne S Ford Sierra Sapphire 96.97% <> 3.5782
Kurt T Opel Vectra 96.66% <> 3.8766
Andreas L Opel Vectra 96.64% <> 3.9551
Jeff K Opel Vectra 95.91% <> 4.7941
Spectactor C Hyundai Lantra -

Race positions

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Race gaps

The leader is the top baseline.

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Race gaps v2

Average lap time of the winner is the top baseline.

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