BoP Lab / Sonoma Raceway
3 laps are left out as timing errors (far too short to be a lap of this track). The rest of those sessions, sectors included, is used.
| Pos | Car | Driver | Class | # | Best lap | Best theoretical lap | Best qual lap | Best race lap | Best trap speed | Best S1 | Best S2 | Best S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | BMW SpecE46 | Mark Drennan | T3 | 10 | 1:10.656 Q3 | 1:10.656 | 1:10.656 Q3 | 1:49.610 R | 103.6 Q1 | 38.141 Q1 | 45.267 Q2 | 24.570 R |
| 2 | Nissan 350Z | William Hendrix >115% | T3 | 101 | 1:22.420 Q3> | 1:22.420> | 1:22.420 Q3> | 1:51.922 R> | 95.4 R> | 39.694 R> | 46.747 R> | 25.279 R> |
| 3 | BMW SpecE46 | Mark Andrews >115% | T3 | 50 | 1:23.609 Q3> | 1:23.609> | 1:23.609 Q3> | 1:51.144 R> | 96.4 R> | 39.490 R> | 46.550 R> | 25.104 R> |
| 4 | BMW SpecE46 | Todd Clarke >115% | T3 | 14 | 1:26.188 Q3> | 1:26.188> | 1:26.188 Q3> | 1:50.779 R> | 96.6 Q1> | 39.408 Q1> | 46.876 Q1> | 25.032 Q1> |
| 5 | Ford Mustang V6 | Scotty B White >115% | T3 | 0 | 1:30.266 Q3> | 1:30.266> | 1:30.266 Q3> | 1:51.037 R> | 99.1 R> | 38.947 Q2> | 46.163 Q1> | 24.607 R> |
| 6 | Nissan 350Z | Derek Kulach >115% | T3 | 1 | 1:32.813 Q3> | 1:32.813> | 1:32.813 Q3> | 1:50.043 R> | 102.2 Q1> | 38.482 Q1> | 45.603 Q1> | 24.599 Q1> |
| 7 | Ford Mustang GT | Nicole Jacque >115% | T3 | 27 | 1:33.563 Q3> | 1:33.563> | 1:33.563 Q3> | 1:56.199 R> | 88.5 Q1> | 41.014 Q1> | 47.839 Q1> | 26.363 Q1> |
| 8 | Ford Mustang Shelby GT | Vincent Piemonte >115% | T3 | 62 | 1:33.860 Q3> | 1:33.860> | 1:33.860 Q3> | 1:51.224 R> | 100.0 R> | 39.106 Q2> | 46.489 Q2> | 25.017 R> |
| 9 | BMW SpecE46 | Eddie Nakato >115% | T3 | 28 | 1:44.579 Q3> | 1:44.579> | 1:44.579 Q3> | 1:49.660 R> | 102.0 Q1> | 38.829 R> | 45.874 Q1> | 24.666 R> |
| 10 | BMW E46 M3 | Jamen D Koos 2+ cars >115% | T3 | 12 | 1:47.704 Q3> | 1:47.704> | 1:47.704 Q3> | 1:51.736 R> | 93.5 R> | 39.481 R> | 46.589 R> | 25.239 R> |
| 11 | BMW Z4 M | Jason Ott >115% | T3 | 09 | 1:47.953 Q3> | 1:47.953> | 1:47.953 Q3> | 1:50.807 R> | 99.7 R> | 39.046 R> | 46.379 R> | 24.922 R> |
| 12 | Ford Mustang V6 | Marshall Mast >115% | T3 | 31 | 1:48.026 Q1> | 1:47.694> | 1:48.026 Q1> | 1:49.793 R> | 108.4 Q1 | 38.328 Q1> | 45.178 Q1 | 24.188 Q1 |
| 13 | BMW SpecE46 | Olivier Henrichot >115% | T3 | 77 | 1:49.363 Q1> | 1:48.909> | 1:49.363 Q1> | 1:49.805 R> | 99.7 R> | 38.461 Q1> | 45.908 Q2> | 24.540 Q1> |
| 14 | BMW 330i/Ci | Jamen D Koos 2+ cars >115% | T3 | 12 | 1:51.178 Q1> | 1:50.972> | 1:51.178 Q1> | 94.7 Q1> | 39.255 Q1> | 46.921 Q1> | 24.796 Q1> | |
| 15 | Ford Mustang Shelby GT | Ed Zabinski >115% | T3 | 97 | 1:52.351 R> | 1:51.501> | 1:52.416 Q1> | 1:52.351 R> | 98.2 R> | 39.389 R> | 47.044 R> | 25.068 R> |
| 16 | Nissan 350Z | Lansing Stout Jr. >115% | T3 | 54 | 1:52.362 R> | 1:51.792> | 1:53.532 Q1> | 1:52.362 R> | 95.9 R> | 39.851 Q1> | 46.468 R> | 25.473 R> |
| 17 | Nissan 350Z | David Muramoto >115% | T3 | 7 | 1:57.469 Q3> | 1:57.469> | 1:57.469 Q3> | 1:59.301 R> | 95.2 R> | 41.962 Q2> | 49.630 R> | 26.360 R> |
| 18 | Honda S2000 | Brad Dressen >115% | T3 | 11 | 2:01.110 Q1> | 2:00.603> | 2:01.110 Q1> | 2:01.730 R> | 83.3 R> | 42.766 R> | 50.983 Q1> | 26.854 R> |
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; 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 ">" (with ">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 | Best lap | Best qual | Best race | Best trap | Best S1 | Best S2 | Best S3 |
|---|---|---|---|---|---|---|---|---|---|
| BMW SpecE46 | T3 | 5 | 1:10.656Mark Drennan | 1:10.656Mark Drennan | 1:49.610Mark Drennan | 103.6Mark Drennan | 38.141Mark Drennan | 45.267Mark Drennan | 24.540Olivier Henrichot |
| Nissan 350Z | T3 | 4 | 1:22.420William Hendrix | 1:22.420William Hendrix | 1:50.043Derek Kulach | 102.2Derek Kulach | 38.482Derek Kulach | 45.603Derek Kulach | 24.599Derek Kulach |
| Ford Mustang V6 | T3 | 2 | 1:30.266Scotty B White | 1:30.266Scotty B White | 1:49.793Marshall Mast | 108.4Marshall Mast | 38.328Marshall Mast | 45.178Marshall Mast | 24.188Marshall Mast |
| Ford Mustang GT | T3 | 1 | 1:33.563Nicole Jacque | 1:33.563Nicole Jacque | 1:56.199Nicole Jacque | 88.5Nicole Jacque | 41.014Nicole Jacque | 47.839Nicole Jacque | 26.363Nicole Jacque |
| Ford Mustang Shelby GT | T3 | 2 | 1:33.860Vincent Piemonte | 1:33.860Vincent Piemonte | 1:51.224Vincent Piemonte | 100.0Vincent Piemonte | 39.106Vincent Piemonte | 46.489Vincent Piemonte | 25.017Vincent Piemonte |
| BMW E46 M3 | T3 | 1 | 1:47.704Jamen D Koos | 1:47.704Jamen D Koos | 1:51.736Jamen D Koos | 93.5Jamen D Koos | 39.481Jamen D Koos | 46.589Jamen D Koos | 25.239Jamen D Koos |
| BMW Z4 M | T3 | 1 | 1:47.953Jason Ott | 1:47.953Jason Ott | 1:50.807Jason Ott | 99.7Jason Ott | 39.046Jason Ott | 46.379Jason Ott | 24.922Jason Ott |
| BMW 330i/Ci | T3 | 1 | 1:51.178Jamen D Koos | 1:51.178Jamen D Koos | 94.7Jamen D Koos | 39.255Jamen D Koos | 46.921Jamen D Koos | 24.796Jamen D Koos | |
| Honda S2000 | T3 | 1 | 2:01.110Brad Dressen | 2:01.110Brad Dressen | 2:01.730Brad Dressen | 83.3Brad Dressen | 42.766Brad Dressen | 50.983Brad Dressen | 26.854Brad Dressen |
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.