BoP Lab / Sonoma Raceway
One run is left out as not that car's own laps (far quicker than the car managed in any other session and than anyone else in its class all week; usually a swapped transponder): Ted Phenix in Runoffs 2018 GTL Race (1:12.410; the car's best in any other session was 2:12.177 and the rest of the class's best all week 1:47.885).
| Pos | Car | Driver | Class | # | Lap | Theoretical | Qual | Race | 5-lap stint | Consistency | Trap | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Nissan PL510 | Troy Ermish | GTL | 38 | 1:47.885 Q3 | 1:47.764 | 1:47.885 Q3 | 1:49.458 R | 1:50.120 R | +3.702 R | 108.6 Q1 | 38.369 Q3 | 45.041 Q3 | 24.354 Q1 |
| 2 | MG Midget | Joe Huffaker | GTL | 77 | 1:47.967 Q3 | 1:47.754 | 1:47.967 Q3 | 1:52.471 R | 107.5 Q1 | 38.307 Q3 | 45.248 Q1 | 24.199 Q1 | ||
| 3 | Mazda Miata | Taz Harvey | GTL | 8 | 1:50.132 Q3 | 1:49.602 | 1:50.132 Q3 | 1:53.091 R | 103.2 Q3 | 38.810 Q3 | 45.927 Q2 | 24.865 Q2 | ||
| 4 | Nissan 200SX SE-R | Peter Zekert | GTL | 45 | 1:52.336 Q1 | 1:51.838 | 1:52.336 Q1 | 1:52.646 R | 1:53.221 R | +1.183 R | 96.9 R | 39.782 Q3 | 47.145 Q3 | 24.911 Q1 |
| 5 | Nissan 240-SX | Joe Harlan | GTL | 80 | 1:52.370 Q3 | 1:52.032 | 1:52.370 Q3 | 1:52.687 R | 1:53.276 R | +1.536 R | 104.6 R | 39.827 Q3 | 46.907 R | 25.298 Q3 |
| 6 | Mazda MX-5 | Jonathan Goodale | GTL | 04 | 1:53.029 R | 1:52.067 | 1:53.252 Q1 | 1:53.029 R | 1:53.708 R | +1.499 R | 108.6 Q2 | 39.782 Q2 | 47.154 Q2 | 25.131 R |
| 7 | Honda CRX | Chris Doodson | GTL | 73 | 1:53.121 R | 1:52.698 | 1:54.070 Q2 | 1:53.121 R | 1:54.103 R | +1.117 R | 99.7 R | 39.812 R | 47.338 R | 25.548 Q2 |
| 8 | Mini Cooper | Chris Kopley | GTL | 03 | 1:53.470 R | 1:52.784 | 1:54.206 Q2 | 1:53.470 R | 1:53.709 R | +1.363 R | 98.0 R | 40.110 R | 47.459 R | 25.215 R |
| 9 | Nissan 200SX SE-R | Charles Leonard | GTL | 14 | 1:53.475 Q3 | 1:52.932 | 1:53.475 Q3 | 1:53.951 R | 1:54.393 R | +2.641 R | 109.3 R | 39.835 Q3 | 47.941 R | 25.156 Q2 |
| 10 | Toyota Tercel | Roy Lopshire | GTL | 98 | 1:53.872 Q3 | 1:53.320 | 1:53.872 Q3 | 1:54.404 R | 1:54.916 R | +1.322 R | 103.0 R | 40.495 R | 47.675 R | 25.150 R |
| 11 | Austin-Healey Sprite | Bill Okell | GTL | 5 | 1:54.186 R | 1:53.749 | 1:57.909 Q3 | 1:54.186 R | 1:55.169 R | +2.408 R | 97.8 R | 40.464 R | 47.759 R | 25.526 R |
| 12 | Toyota Tercel | Bill Meyer | GTL | 93 | 1:54.290 R | 1:53.691 | 1:54.574 Q2 | 1:54.290 R | 1:55.229 R | +2.671 R | 102.4 Q2 | 40.374 R | 47.714 Q2 | 25.603 R |
| 13 | Nissan Sentra | Craig Carter | GTL | 31 | 1:54.512 R | 1:54.365 | 1:55.871 Q3 | 1:54.512 R | 1:57.561 R | +0.569 R | 96.4 R | 40.538 R | 48.109 R | 25.718 R |
| 14 | Nissan Sentra SE-R | Lans Stout | GTL | 6 | 1:54.551 R | 1:53.862 | 1:56.209 Q1 | 1:54.551 R | 1:58.520 R | +6.147 R | 98.7 Q3 | 40.447 R | 48.186 R | 25.229 Q1 |
| 15 | Volkswagen Rabbit | Tim Linerud | GTL | 95 | 1:56.906 Q3 | 1:56.439 | 1:56.906 Q3 | 1:57.476 R | 1:59.782 R | +2.683 R | 95.4 Q2 | 41.195 Q3 | 49.099 Q2 | 26.145 Q2 |
| 16 | Honda Civic Coupe | Paul Bunbury | GTL | 135 | 1:57.324 Q2 | 1:56.783 | 1:57.324 Q2 | 1:57.620 R | 1:58.415 R | +2.111 R | 92.7 R | 41.128 R | 49.218 Q2 | 26.437 R |
| 17 | Toyota MR2 | Scott Twomey | GTL | 114 | 1:57.887 R | 1:57.466 | 1:58.006 Q2 | 1:57.887 R | 1:58.328 R | +1.506 R | 91.3 Q2 | 41.585 R | 49.526 R | 26.355 R |
| 18 | MG Midget | Bill Blust | GTL | 66 | 1:59.222 R | 1:58.908 | 1:59.498 Q2 | 1:59.222 R | 95.4 Q2 | 42.093 Q3 | 50.457 Q3 | 26.358 R | ||
| 19 | Mazda Miata | Larry Svaton | GTL | 97 | 2:02.191 R | 2:01.504 | 2:05.634 Q3 | 2:02.191 R | 2:02.898 R | +2.688 R | 90.3 R | 42.953 R | 51.396 R | 27.155 R |
| 20 | Mini Cooper | Ted Phenix >115% | GTL | 49 | 2:12.177 Q1 | 2:10.165 | 2:12.177 Q1 | 82.5 Q1 | 46.689 Q2 | 55.319 Q1 | 28.157 Q1 |
One row per driver and car (a driver who changed cars has a row for each). Each cell is that driver's best in that car across the selected events, with the session it was set in. Best 5-lap stint is the mean of the driver's quickest five consecutive race laps, and consistency is how far their median race lap sat behind their best in that race (small is a driver who does it every lap); both come from the race with the best stint. The fastest in each column is purple, and a car whose best lap is more than 115% of the fastest in its class is greyed (marked ">115%" beside the driver) and left out of the colour scale. Click a column to sort, a row to highlight it. Theoretical lap is the sum of the best sectors, whichever laps they came from, and never slower than the best lap (where a car's fastest laps were recorded without sector times, its best lap is used). The 115% mark is about the car's best lap only: a car whose best lap is within 115% of the fastest in its class is never marked. Greyed sectors with no theoretical lap mean the sector times on file do not add up to a believable lap. Letters refer to the events above; Q is qualifying, R a race.
Sectors
- S1 SF → IM1 0.87 mi
- S2 IM1 → IM2 1.19 mi
- S3 IM2 → SF 0.46 mi
- SPd IM2 → IM3 0.01 mi
Sectors are numbered in lap order from start/finish, whatever each event's timing called them; the loop names are SCCA timing's.
By car
| Car | Class | Drivers | Lap | Qual | Race | Trap | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|
| Nissan PL510 | GTL | 1 | 1:47.885Troy Ermish | 1:47.885Troy Ermish | 1:49.458Troy Ermish | 108.6Troy Ermish | 38.369Troy Ermish | 45.041Troy Ermish | 24.354Troy Ermish |
| MG Midget | GTL | 2 | 1:47.967Joe Huffaker | 1:47.967Joe Huffaker | 1:52.471Joe Huffaker | 107.5Joe Huffaker | 38.307Joe Huffaker | 45.248Joe Huffaker | 24.199Joe Huffaker |
| Mazda Miata | GTL | 2 | 1:50.132Taz Harvey | 1:50.132Taz Harvey | 1:53.091Taz Harvey | 103.2Taz Harvey | 38.810Taz Harvey | 45.927Taz Harvey | 24.865Taz Harvey |
| Nissan 200SX SE-R | GTL | 4 | 1:52.336Peter Zekert | 1:52.336Peter Zekert | 1:52.646Peter Zekert | 109.3Charles Leonard | 39.782Peter Zekert | 47.145Peter Zekert | 24.911Peter Zekert |
| Nissan 200SX SE-R | GTL | 2 | 1:52.336Peter Zekert | 1:52.336Peter Zekert | 1:52.646Peter Zekert | 109.3Charles Leonard | 39.782Peter Zekert | 47.145Peter Zekert | 24.911Peter Zekert |
| Nissan Sentra | GTL | 1 | 1:54.512Craig Carter | 1:55.871Craig Carter | 1:54.512Craig Carter | 96.4Craig Carter | 40.538Craig Carter | 48.109Craig Carter | 25.718Craig Carter |
| Nissan Sentra SE-R | GTL | 1 | 1:54.551Lans Stout | 1:56.209Lans Stout | 1:54.551Lans Stout | 98.7Lans Stout | 40.447Lans Stout | 48.186Lans Stout | 25.229Lans Stout |
| Nissan 240-SX | GTL | 1 | 1:52.370Joe Harlan | 1:52.370Joe Harlan | 1:52.687Joe Harlan | 104.6Joe Harlan | 39.827Joe Harlan | 46.907Joe Harlan | 25.298Joe Harlan |
| Mazda MX-5 | GTL | 1 | 1:53.029Jonathan Goodale | 1:53.252Jonathan Goodale | 1:53.029Jonathan Goodale | 108.6Jonathan Goodale | 39.782Jonathan Goodale | 47.154Jonathan Goodale | 25.131Jonathan Goodale |
| Honda CRX | GTL | 1 | 1:53.121Chris Doodson | 1:54.070Chris Doodson | 1:53.121Chris Doodson | 99.7Chris Doodson | 39.812Chris Doodson | 47.338Chris Doodson | 25.548Chris Doodson |
| Mini Cooper | GTL | 2 | 1:53.470Chris Kopley | 1:54.206Chris Kopley | 1:53.470Chris Kopley | 98.0Chris Kopley | 40.110Chris Kopley | 47.459Chris Kopley | 25.215Chris Kopley |
| Toyota Tercel | GTL | 2 | 1:53.872Roy Lopshire | 1:53.872Roy Lopshire | 1:54.290Bill Meyer | 103.0Roy Lopshire | 40.374Bill Meyer | 47.675Roy Lopshire | 25.150Roy Lopshire |
| Austin-Healey Sprite | GTL | 1 | 1:54.186Bill Okell | 1:57.909Bill Okell | 1:54.186Bill Okell | 97.8Bill Okell | 40.464Bill Okell | 47.759Bill Okell | 25.526Bill Okell |
| Volkswagen Rabbit | GTL | 1 | 1:56.906Tim Linerud | 1:56.906Tim Linerud | 1:57.476Tim Linerud | 95.4Tim Linerud | 41.195Tim Linerud | 49.099Tim Linerud | 26.145Tim Linerud |
| Honda Civic Coupe | GTL | 1 | 1:57.324Paul Bunbury | 1:57.324Paul Bunbury | 1:57.620Paul Bunbury | 92.7Paul Bunbury | 41.128Paul Bunbury | 49.218Paul Bunbury | 26.437Paul Bunbury |
| Toyota MR2 | GTL | 1 | 1:57.887Scott Twomey | 1:58.006Scott Twomey | 1:57.887Scott Twomey | 91.3Scott Twomey | 41.585Scott Twomey | 49.526Scott Twomey | 26.355Scott Twomey |
The best any driver of each car managed across the selected events, with who set it. Spellings and model years of the same car are grouped; click a row marked ▸ to see each version. Grouping is worked out from the names, so tell us if two cars are wrongly merged or split.