Qualify result
| Game |
Assetto Corsa Competizione |
| Session |
Qualify |
| Track |
monza |
| Pole |
Zoltan Rupa
(01:50.1550)
|
| Lasted laps |
6 |
| Host |
RHD Racing - Monza |
| Other settings |
isWetSession = 0
|
| Pos |
No |
Driver |
Vehicle |
Laps |
Best lap |
Gap |
| 1 |
352 |
Zoltan Rupa |
BMW M4 GT3 |
5 |
01:50.1550 |
- |
| 2 |
911 |
Maciek Maroszek |
Porsche 991 GT3 |
5 |
01:50.3720 |
00:00.2170 |
| 3 |
23 |
Holger Amort |
Porsche 991 II GT3 R 2019 |
6 |
01:52.5770 |
00:02.4220 |
| 4 |
1 |
Zhan Kvaratskheliya |
Ferrari 488 GT3 |
4 |
01:52.6470 |
00:02.4920 |
| 5 |
59 |
Sergey Sudnitsyn |
Lexus RC F GT3 |
5 |
01:53.8700 |
00:03.7150 |
| 6 |
10 |
Caecilia Fechner |
Audi R8 LMS Evo2 2022 (GT3) |
4 |
01:54.9020 |
00:04.7470 |
| 7 |
45 |
Siarhei Savitski |
BMW M4 GT3 |
0 |
- |
- |
| 8 |
667 |
Aleksandr Kuzmin [ASG] |
Lamborghini Huracan Evo 2019 (GT3) |
0 |
- |
- |
| 9 |
6 |
Максим Prasov |
Aston Martin Vantage V8 2019 (GT3) |
0 |
- |
- |
| 10 |
224 |
Kyrolov Serghey |
BMW M4 GT3 |
0 |
- |
- |
Qualify 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
Zoltan Rupa
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
BMW M4 GT3 |
- |
-
|
-
|
-
|
|
2
|
BMW M4 GT3 |
01:50.4750 |
35.5770
|
38.9270
|
35.9700
|
|
3
|
BMW M4 GT3 |
01:50.4200 |
35.7070
|
38.9500
|
35.7620
|
|
4
|
BMW M4 GT3 |
01:50.4900 |
35.6500
|
38.8470
|
35.9920
|
|
5
|
BMW M4 GT3 |
01:50.1550 |
35.8150
|
38.3270
|
36.0120
|
| Average |
|
01:50.3841 |
35.6873 |
38.7628 |
35.9340 |
| Best possible |
|
01:49.6660 |
35.5770 |
38.3270 |
35.7620 |
Maciek Maroszek
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
Porsche 991 GT3 |
- |
-
|
-
|
-
|
|
2
|
Porsche 991 GT3 |
01:50.4820 |
35.5770
|
38.7600
|
36.1450
|
|
3
|
Porsche 991 GT3 |
01:50.4120 |
35.6500
|
38.8150
|
35.9470
|
|
4
(INVALID)
|
Porsche 991 GT3 |
- |
-
|
-
|
-
|
|
5
|
Porsche 991 GT3 |
01:50.3720 |
35.6970
|
38.7100
|
35.9650
|
| Average |
|
01:50.4220 |
35.6413 |
38.7617 |
36.0190 |
| Best possible |
|
01:50.2340 |
35.5770 |
38.7100 |
35.9470 |
Holger Amort
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
Porsche 991 II GT3 R 2019 |
- |
-
|
-
|
-
|
|
2
|
Porsche 991 II GT3 R 2019 |
01:53.8220 |
36.5550
|
39.8370
|
37.4300
|
|
3
|
Porsche 991 II GT3 R 2019 |
01:54.4370 |
37.1650
|
40.1020
|
37.1700
|
|
4
|
Porsche 991 II GT3 R 2019 |
01:53.0700 |
36.4320
|
39.8500
|
36.7870
|
|
5
|
Porsche 991 II GT3 R 2019 |
01:53.0900 |
35.9720
|
40.3350
|
36.7820
|
|
6
|
Porsche 991 II GT3 R 2019 |
01:52.5770 |
36.3520
|
39.6670
|
36.5570
|
| Average |
|
01:53.3986 |
36.4952 |
39.9582 |
36.9452 |
| Best possible |
|
01:52.1960 |
35.9720 |
39.6670 |
36.5570 |
Zhan Kvaratskheliya
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
Ferrari 488 GT3 |
- |
-
|
-
|
-
|
|
2
(INVALID)
|
Ferrari 488 GT3 |
- |
-
|
-
|
-
|
|
3
|
Ferrari 488 GT3 |
01:52.6470 |
36.2620
|
39.5900
|
36.7950
|
|
4
|
Ferrari 488 GT3 |
01:52.7250 |
36.6450
|
39.3650
|
36.7150
|
| Average |
|
01:52.6860 |
36.4535 |
39.4775 |
36.7550 |
| Best possible |
|
01:52.3420 |
36.2620 |
39.3650 |
36.7150 |
Sergey Sudnitsyn
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
Lexus RC F GT3 |
- |
-
|
-
|
-
|
|
2
|
Lexus RC F GT3 |
01:55.8820 |
37.2470
|
40.8420
|
37.7920
|
|
3
|
Lexus RC F GT3 |
01:55.1870 |
36.3250
|
41.4820
|
37.3800
|
|
4
|
Lexus RC F GT3 |
01:55.4670 |
37.1600
|
40.6620
|
37.6450
|
|
5
|
Lexus RC F GT3 |
01:53.8700 |
36.3300
|
40.1950
|
37.3450
|
| Average |
|
01:55.1013 |
36.7655 |
40.7953 |
37.5405 |
| Best possible |
|
01:53.8650 |
36.3250 |
40.1950 |
37.3450 |
Caecilia Fechner
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
|
1
(INVALID)
|
Audi R8 LMS Evo2 2022 (GT3) |
- |
-
|
-
|
-
|
|
2
(INVALID)
|
Audi R8 LMS Evo2 2022 (GT3) |
- |
-
|
-
|
-
|
|
3
(INVALID)
|
Audi R8 LMS Evo2 2022 (GT3) |
- |
-
|
-
|
-
|
|
4
|
Audi R8 LMS Evo2 2022 (GT3) |
01:54.9020 |
36.5850
|
40.7220
|
37.5950
|
| Average |
|
01:54.9020 |
36.5850 |
40.7220 |
37.5950 |
| Best possible |
|
01:54.9020 |
36.5850 |
40.7220 |
37.5950 |
Siarhei Savitski
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
Aleksandr Kuzmin [ASG]
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
Максим Prasov
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
Kyrolov Serghey
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
| No laps for this driver |
Qualify best laps
| Overall top (20) |
| Driver |
Vehicle |
Time |
Gap |
|
Zoltan Rupa
|
BMW M4 GT3 |
01:50.1550 |
|
|
Maciek Maroszek
|
Porsche 991 GT3 |
01:50.3720 |
0.217 |
|
Maciek Maroszek
|
Porsche 991 GT3 |
01:50.4120 |
0.257 |
|
Zoltan Rupa
|
BMW M4 GT3 |
01:50.4200 |
0.265 |
|
Zoltan Rupa
|
BMW M4 GT3 |
01:50.4750 |
0.32 |
|
Maciek Maroszek
|
Porsche 991 GT3 |
01:50.4820 |
0.327 |
|
Zoltan Rupa
|
BMW M4 GT3 |
01:50.4900 |
0.335 |
|
Holger Amort
|
Porsche 991 II GT3 R 2019 |
01:52.5770 |
2.422 |
|
Zhan Kvaratskheliya
|
Ferrari 488 GT3 |
01:52.6470 |
2.492 |
|
Zhan Kvaratskheliya
|
Ferrari 488 GT3 |
01:52.7250 |
2.57 |
|
Holger Amort
|
Porsche 991 II GT3 R 2019 |
01:53.0700 |
2.915 |
|
Holger Amort
|
Porsche 991 II GT3 R 2019 |
01:53.0900 |
2.935 |
|
Holger Amort
|
Porsche 991 II GT3 R 2019 |
01:53.8220 |
3.667 |
|
Sergey Sudnitsyn
|
Lexus RC F GT3 |
01:53.8700 |
3.715 |
|
Holger Amort
|
Porsche 991 II GT3 R 2019 |
01:54.4370 |
4.282 |
|
Caecilia Fechner
|
Audi R8 LMS Evo2 2022 (GT3) |
01:54.9020 |
4.747 |
|
Sergey Sudnitsyn
|
Lexus RC F GT3 |
01:55.1870 |
5.032 |
|
Sergey Sudnitsyn
|
Lexus RC F GT3 |
01:55.4670 |
5.312 |
|
Sergey Sudnitsyn
|
Lexus RC F GT3 |
01:55.8820 |
5.727 |
|
Zoltan Rupa
|
BMW M4 GT3 |
- |
- |
| Per driver |
| Driver |
Vehicle |
Time |
Gap |
|
Zoltan Rupa
|
BMW M4 GT3 |
01:50.1550 |
|
|
Maciek Maroszek
|
Porsche 991 GT3 |
01:50.3720 |
0.217 |
|
Holger Amort
|
Porsche 991 II GT3 R 2019 |
01:52.5770 |
2.422 |
|
Zhan Kvaratskheliya
|
Ferrari 488 GT3 |
01:52.6470 |
2.492 |
|
Sergey Sudnitsyn
|
Lexus RC F GT3 |
01:53.8700 |
3.715 |
|
Caecilia Fechner
|
Audi R8 LMS Evo2 2022 (GT3) |
01:54.9020 |
4.747 |
Qualify consistency
Based on best lap minus average non-best. Pit laps, first lap and laps slower
than 21 seconds are ignored.
| Driver |
Vehicle |
Consistency |
|
Maciek Maroszek
|
Porsche 991 GT3 |
99.93% <> 0.075 |
|
Zoltan Rupa
|
BMW M4 GT3 |
99.72% <> 0.3067 |
|
Holger Amort
|
Porsche 991 II GT3 R 2019 |
99.09% <> 1.0278 |
|
Sergey Sudnitsyn
|
Lexus RC F GT3 |
98.56% <> 1.642 |
|
Zhan Kvaratskheliya
|
Ferrari 488 GT3 |
- |
|
Caecilia Fechner
|
Audi R8 LMS Evo2 2022 (GT3) |
- |
|
Siarhei Savitski
|
BMW M4 GT3 |
- |
|
Aleksandr Kuzmin [ASG]
|
Lamborghini Huracan Evo 2019 (GT3) |
- |
|
Максим Prasov
|
Aston Martin Vantage V8 2019 (GT3) |
- |
|
Kyrolov Serghey
|
BMW M4 GT3 |
- |
Qualify sectors
| Sector 1 |
| Driver |
Time |
Gap |
|
Zoltan Rupa
|
35.5770 |
- |
|
Maciek Maroszek
|
35.5770 |
0.0000 |
|
Holger Amort
|
35.9720 |
0.3950 |
|
Zhan Kvaratskheliya
|
36.2620 |
0.6850 |
|
Sergey Sudnitsyn
|
36.3250 |
0.7480 |
|
Caecilia Fechner
|
36.5850 |
1.0080 |
| Sector 2 |
| Driver |
Time |
Gap |
|
Zoltan Rupa
|
38.3270 |
- |
|
Maciek Maroszek
|
38.7100 |
0.3830 |
|
Zhan Kvaratskheliya
|
39.3650 |
1.0380 |
|
Holger Amort
|
39.6670 |
1.3400 |
|
Sergey Sudnitsyn
|
40.1950 |
1.8680 |
|
Caecilia Fechner
|
40.7220 |
2.3950 |
| Sector 3 |
| Driver |
Time |
Gap |
|
Zoltan Rupa
|
35.7620 |
- |
|
Maciek Maroszek
|
35.9470 |
0.1850 |
|
Holger Amort
|
36.5570 |
0.7950 |
|
Zhan Kvaratskheliya
|
36.7150 |
0.9530 |
|
Sergey Sudnitsyn
|
37.3450 |
1.5830 |
|
Caecilia Fechner
|
37.5950 |
1.8330 |
Race result
| Game |
Assetto Corsa Competizione |
| Session |
Race |
| Track |
monza |
| Winner |
Zhan Kvaratskheliya
|
| Led most laps |
Holger Amort |
| Best lap |
Solomon Zvanbaya (01:49.5300) |
| Lasted laps |
16 |
| Host |
RHD Racing - Monza |
| Other settings |
isWetSession = 0
|
| Pos |
No |
Driver |
Vehicle |
Laps |
Time/Retired |
Best lap |
Consistency |
Led |
| 1 |
1 |
Zhan Kvaratskheliya |
Ferrari 488 GT3 |
16 |
30:22.5420
|
01:52.2550 |
99.23% |
6 |
| 2 |
23 |
Holger Amort |
Porsche 991 II GT3 R 2019 |
16 |
+00:14.1510
|
01:52.2920 |
98.81% |
10 |
| 3 |
34 |
Solomon Zvanbaya |
BMW M6 GT3 |
12 |
+4 laps
|
01:49.5300 |
99.15% |
0 |
| 4 |
45 |
Siarhei Savitski |
BMW M4 GT3 |
0 |
DNF
|
- |
- |
0 |
| 5 |
667 |
Aleksandr Kuzmin [ASG] |
Lamborghini Huracan Evo 2019 (GT3) |
0 |
DNF
|
- |
- |
0 |
| 6 |
6 |
Максим Prasov |
Aston Martin Vantage V8 2019 (GT3) |
0 |
DNF
|
- |
- |
0 |
| 7 |
224 |
Kyrolov Serghey |
BMW M4 GT3 |
0 |
DNF
|
- |
- |
0 |
| 8 |
59 |
Sergey Sudnitsyn |
Lexus RC F GT3 |
0 |
DNF
|
- |
- |
0 |
| 9 |
911 |
Maciek Maroszek |
Porsche 991 GT3 |
0 |
DNF
|
- |
- |
0 |
| 10 |
352 |
Zoltan Rupa |
BMW M4 GT3 |
0 |
DNF
|
- |
- |
0 |
| 11 |
10 |
Caecilia Fechner |
Audi R8 LMS Evo2 2022 (GT3) |
5 |
+11 laps
|
01:54.6870 |
- |
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
Zhan Kvaratskheliya
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
Cuts |
|
1
|
Ferrari 488 GT3 |
02:02.1094 |
44.6474
|
40.8770
|
36.5850
|
0
|
|
2
(INVALID)
|
Ferrari 488 GT3 |
01:52.6100 |
36.1800
|
39.3920
|
37.0370
|
0
|
|
3
(INVALID)
|
Ferrari 488 GT3 |
01:53.7650 |
36.8270
|
40.0350
|
36.9020
|
0
|
|
4
|
Ferrari 488 GT3 |
01:53.1470 |
36.8920
|
39.8050
|
36.4500
|
0
|
|
5
(INVALID)
|
Ferrari 488 GT3 |
01:52.5770 |
36.4100
|
39.3670
|
36.8000
|
0
|
|
6
(INVALID)
|
Ferrari 488 GT3 |
01:54.3870 |
36.9720
|
40.2000
|
37.2150
|
0
|
|
7
(INVALID)
|
Ferrari 488 GT3 |
01:52.6200 |
36.5500
|
39.5370
|
36.5320
|
0
|
|
8
(INVALID)
|
Ferrari 488 GT3 |
01:53.7770 |
36.3750
|
39.3750
|
38.0270
|
0
|
|
9
(INVALID)
|
Ferrari 488 GT3 |
01:52.7070 |
36.6300
|
39.3770
|
36.7000
|
0
|
|
10
|
Ferrari 488 GT3 |
01:52.9420 |
36.2500
|
39.6020
|
37.0900
|
0
|
|
11
(INVALID)
|
Ferrari 488 GT3 |
01:56.4700 |
36.2970
|
40.1420
|
40.0300
|
0
|
|
12
(INVALID)
|
Ferrari 488 GT3 |
01:53.8520 |
36.5020
|
40.4400
|
36.9100
|
0
|
|
13
|
Ferrari 488 GT3 |
01:53.2620 |
36.8170
|
39.9170
|
36.5270
|
0
|
|
14
(INVALID)
|
Ferrari 488 GT3 |
01:52.6020 |
36.3900
|
39.8170
|
36.3950
|
0
|
|
15
|
Ferrari 488 GT3 |
01:52.2550 |
36.1870
|
39.1950
|
36.8720
|
0
|
|
16
(INVALID)
|
Ferrari 488 GT3 |
01:55.0000 |
37.1550
|
41.2020
|
36.6420
|
0
|
| Average |
|
01:54.0047 |
37.0676 |
39.8925 |
37.0446 |
|
| Best possible |
|
01:51.7700 |
36.1800 |
39.1950 |
36.3950 |
Holger Amort
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
Cuts |
|
1
|
Porsche 991 II GT3 R 2019 |
02:01.8824 |
44.6484
|
40.1370
|
37.0970
|
0
|
|
2
|
Porsche 991 II GT3 R 2019 |
01:53.4300 |
36.4320
|
40.1320
|
36.8650
|
0
|
|
3
|
Porsche 991 II GT3 R 2019 |
01:52.2920 |
36.6270
|
39.2920
|
36.3720
|
0
|
|
4
|
Porsche 991 II GT3 R 2019 |
01:53.3370 |
36.3600
|
39.6500
|
37.3270
|
0
|
|
5
|
Porsche 991 II GT3 R 2019 |
01:53.2970 |
36.4150
|
40.3050
|
36.5770
|
0
|
|
6
|
Porsche 991 II GT3 R 2019 |
01:53.6620 |
36.8000
|
40.1120
|
36.7500
|
0
|
|
7
|
Porsche 991 II GT3 R 2019 |
01:52.6700 |
36.4950
|
39.6750
|
36.5000
|
0
|
|
8
|
Porsche 991 II GT3 R 2019 |
01:52.6970 |
36.2250
|
39.5200
|
36.9520
|
0
|
|
9
|
Porsche 991 II GT3 R 2019 |
01:53.8970 |
36.1270
|
41.2900
|
36.4800
|
0
|
|
10
(INVALID)
|
Porsche 991 II GT3 R 2019 |
01:53.8520 |
36.4450
|
40.4920
|
36.9150
|
0
|
|
11
(INVALID)
|
Porsche 991 II GT3 R 2019 |
02:01.7320 |
36.7700
|
40.1970
|
44.7650
|
0
|
|
12
|
Porsche 991 II GT3 R 2019 |
01:54.3100 |
37.0950
|
39.9000
|
37.3150
|
0
|
|
13
|
Porsche 991 II GT3 R 2019 |
01:53.9150 |
36.4370
|
39.8500
|
37.6270
|
0
|
|
14
(INVALID)
|
Porsche 991 II GT3 R 2019 |
01:57.2250 |
37.3120
|
41.1100
|
38.8020
|
0
|
|
15
|
Porsche 991 II GT3 R 2019 |
01:55.1120 |
37.2100
|
40.7970
|
37.1050
|
0
|
|
16
(INVALID)
|
Porsche 991 II GT3 R 2019 |
01:55.9370 |
37.2650
|
41.1350
|
37.5370
|
0
|
| Average |
|
01:54.9527 |
37.1665 |
40.2246 |
37.5616 |
|
| Best possible |
|
01:51.7910 |
36.1270 |
39.2920 |
36.3720 |
Solomon Zvanbaya
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
Cuts |
|
1
(INVALID)
|
BMW M6 GT3 |
02:01.7044 |
44.6524
|
40.7250
|
36.3270
|
0
|
|
2
|
BMW M6 GT3 |
01:50.4150 |
36.0070
|
38.7270
|
35.6800
|
0
|
|
3
(INVALID)
|
BMW M6 GT3 |
04:15.5850 |
177.7220
|
42.1570
|
35.7050
|
0
|
|
4
|
BMW M6 GT3 |
01:49.8950 |
35.5420
|
38.9200
|
35.4320
|
0
|
|
5
|
BMW M6 GT3 |
01:49.7850 |
35.3170
|
38.9550
|
35.5120
|
0
|
|
6
|
BMW M6 GT3 |
01:49.5300 |
35.1950
|
38.7600
|
35.5750
|
0
|
|
7
|
BMW M6 GT3 |
01:49.9220 |
35.1620
|
38.9620
|
35.7970
|
0
|
|
8
|
BMW M6 GT3 |
01:52.2970 |
37.6220
|
38.8020
|
35.8720
|
0
|
|
9
|
BMW M6 GT3 |
03:05.6270 |
38.4020
|
107.3350
|
39.8900
|
0
|
|
10
(INVALID)
|
BMW M6 GT3 |
01:52.4320 |
36.0420
|
40.2170
|
36.1720
|
0
|
|
11
(INVALID)
|
BMW M6 GT3 |
01:52.7620 |
35.3970
|
38.6300
|
38.7350
|
0
|
|
12
(INVALID)
|
BMW M6 GT3 |
01:56.2570 |
36.3020
|
44.2020
|
35.7520
|
0
|
| Average |
|
02:10.5170 |
48.6135 |
45.5327 |
36.3708 |
|
| Best possible |
|
01:49.2240 |
35.1620 |
38.6300 |
35.4320 |
Siarhei Savitski
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
Cuts |
| No laps for this driver |
Aleksandr Kuzmin [ASG]
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
Cuts |
| No laps for this driver |
Максим Prasov
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
Cuts |
| No laps for this driver |
Kyrolov Serghey
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
Cuts |
| No laps for this driver |
Sergey Sudnitsyn
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
Cuts |
| No laps for this driver |
Maciek Maroszek
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
Cuts |
| No laps for this driver |
Zoltan Rupa
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
Cuts |
| No laps for this driver |
Caecilia Fechner
| Lap |
Vehicle |
Time |
Sector 1 |
Sector 2 |
Sector 3 |
Cuts |
|
1
(INVALID)
|
Audi R8 LMS Evo2 2022 (GT3) |
02:17.1174 |
44.6554
|
55.5670
|
36.8950
|
0
|
|
2
(INVALID)
|
Audi R8 LMS Evo2 2022 (GT3) |
01:56.2820 |
37.3770
|
40.8970
|
38.0070
|
1
|
|
3
(INVALID)
|
Audi R8 LMS Evo2 2022 (GT3) |
01:52.1470 |
33.5770
|
41.2920
|
37.2770
|
0
|
|
4
(INVALID)
|
Audi R8 LMS Evo2 2022 (GT3) |
01:56.5170 |
38.6000
|
40.2750
|
37.6420
|
1
|
|
5
|
Audi R8 LMS Evo2 2022 (GT3) |
01:54.6870 |
37.3320
|
39.9700
|
37.3850
|
0
|
| Average |
|
01:59.3497 |
38.3083 |
43.6002 |
37.4412 |
|
| Best possible |
|
01:50.4420 |
33.5770 |
39.9700 |
36.8950 |
Race best laps
| Overall top (20) |
| Driver |
Vehicle |
Time |
Gap |
|
Solomon Zvanbaya
|
BMW M6 GT3 |
01:49.5300 |
|
|
Solomon Zvanbaya
|
BMW M6 GT3 |
01:49.7850 |
0.255 |
|
Solomon Zvanbaya
|
BMW M6 GT3 |
01:49.8950 |
0.365 |
|
Solomon Zvanbaya
|
BMW M6 GT3 |
01:49.9220 |
0.392 |
|
Solomon Zvanbaya
|
BMW M6 GT3 |
01:50.4150 |
0.885 |
|
Caecilia Fechner
|
Audi R8 LMS Evo2 2022 (GT3) |
01:52.1470 |
2.617 |
|
Zhan Kvaratskheliya
|
Ferrari 488 GT3 |
01:52.2550 |
2.725 |
|
Holger Amort
|
Porsche 991 II GT3 R 2019 |
01:52.2920 |
2.762 |
|
Solomon Zvanbaya
|
BMW M6 GT3 |
01:52.2970 |
2.767 |
|
Solomon Zvanbaya
|
BMW M6 GT3 |
01:52.4320 |
2.902 |
|
Zhan Kvaratskheliya
|
Ferrari 488 GT3 |
01:52.5770 |
3.047 |
|
Zhan Kvaratskheliya
|
Ferrari 488 GT3 |
01:52.6020 |
3.072 |
|
Zhan Kvaratskheliya
|
Ferrari 488 GT3 |
01:52.6100 |
3.08 |
|
Zhan Kvaratskheliya
|
Ferrari 488 GT3 |
01:52.6200 |
3.09 |
|
Holger Amort
|
Porsche 991 II GT3 R 2019 |
01:52.6700 |
3.14 |
|
Holger Amort
|
Porsche 991 II GT3 R 2019 |
01:52.6970 |
3.167 |
|
Zhan Kvaratskheliya
|
Ferrari 488 GT3 |
01:52.7070 |
3.177 |
|
Solomon Zvanbaya
|
BMW M6 GT3 |
01:52.7620 |
3.232 |
|
Zhan Kvaratskheliya
|
Ferrari 488 GT3 |
01:52.9420 |
3.412 |
|
Zhan Kvaratskheliya
|
Ferrari 488 GT3 |
01:53.1470 |
3.617 |
| Per driver |
| Driver |
Vehicle |
Time |
Gap |
|
Solomon Zvanbaya
|
BMW M6 GT3 |
01:49.5300 |
|
|
Zhan Kvaratskheliya
|
Ferrari 488 GT3 |
01:52.2550 |
2.725 |
|
Holger Amort
|
Porsche 991 II GT3 R 2019 |
01:52.2920 |
2.762 |
|
Caecilia Fechner
|
Audi R8 LMS Evo2 2022 (GT3) |
01:54.6870 |
5.157 |
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 |
|
Zhan Kvaratskheliya
|
Ferrari 488 GT3 |
99.23% <> 0.862 |
|
Solomon Zvanbaya
|
BMW M6 GT3 |
99.15% <> 0.9328 |
|
Holger Amort
|
Porsche 991 II GT3 R 2019 |
98.81% <> 1.3407 |
|
Siarhei Savitski
|
BMW M4 GT3 |
- |
|
Aleksandr Kuzmin [ASG]
|
Lamborghini Huracan Evo 2019 (GT3) |
- |
|
Максим Prasov
|
Aston Martin Vantage V8 2019 (GT3) |
- |
|
Kyrolov Serghey
|
BMW M4 GT3 |
- |
|
Sergey Sudnitsyn
|
Lexus RC F GT3 |
- |
|
Maciek Maroszek
|
Porsche 991 GT3 |
- |
|
Zoltan Rupa
|
BMW M4 GT3 |
- |
|
Caecilia Fechner
|
Audi R8 LMS Evo2 2022 (GT3) |
- |
Race sectors
| Sector 1 |
| Driver |
Time |
Gap |
|
Caecilia Fechner
|
33.5770 |
- |
|
Solomon Zvanbaya
|
35.1620 |
1.5850 |
|
Holger Amort
|
36.1270 |
2.5500 |
|
Zhan Kvaratskheliya
|
36.1800 |
2.6030 |
| Sector 2 |
| Driver |
Time |
Gap |
|
Solomon Zvanbaya
|
38.6300 |
- |
|
Zhan Kvaratskheliya
|
39.1950 |
0.5650 |
|
Holger Amort
|
39.2920 |
0.6620 |
|
Caecilia Fechner
|
39.9700 |
1.3400 |
| Sector 3 |
| Driver |
Time |
Gap |
|
Solomon Zvanbaya
|
35.4320 |
- |
|
Holger Amort
|
36.3720 |
0.9400 |
|
Zhan Kvaratskheliya
|
36.3950 |
0.9630 |
|
Caecilia Fechner
|
36.8950 |
1.4630 |
Race cuts
| Overall in order |
| Date |
Lap e.t. |
Lap |
Driver |
Cut time |
Time skipped |
|
00:00 |
2 |
Caecilia Fechner
|
|
|
|
00:00 |
4 |
Caecilia Fechner
|
|
|
| Per driver |
| Date |
Lap e.t. |
Lap |
Driver |
Cut time |
Time skipped |
| Caecilia Fechner |
|
00:00 |
2 |
Caecilia Fechner |
|
|
|
00:00 |
4 |
Caecilia Fechner |
|
|
Race penalties
| Date |
Penalty |
|
Caecilia Fechner - Cutting - DriveThrough - violation in lap 2 - cleared in lap 4 |
|
Caecilia Fechner - Cutting - Disqualified - violation in lap 4 - cleared in lap 0 |
Race positions
Fullscreen
Use your mouse scroll wheel to zoom and click to drag.
Race gaps
The leader is the top baseline.
Fullscreen
Use your mouse scroll wheel to zoom and click to drag.
Race gaps v2
Average lap time of the winner is the top baseline.
Fullscreen
Use your mouse scroll wheel to zoom and click to drag.