BoP Lab / Laguna Seca

AS + T3 + T2 at Laguna Seca

T3 has no laps in the events chosen. It ran at Super Tour Jul 2019: add that event.

Pos	Car	Driver	Class	#	Lap	Theoretical	Qual	Race	5-lap stint	Consistency	Trap	S1	S2	S3
1	BMW M235iR	Max Fedler	T2	5	1:37.938 Q2	1:37.929	1:37.938 Q2	1:39.450 R2	1:40.111 R2	+1.896 R2	107.6 Q2	36.323 Q2	23.019 Q2	38.587 Q2
2	Porsche Cayman	Quirt Smith	T2	09	1:38.887 Q2	1:38.527	1:38.887 Q2	1:40.810 R2	1:41.648 R2	+2.444 R2	106.0 Q2	36.895 Q2	23.336 Q2	38.296 Q2
3	Chevrolet Corvette	Bill Collins	T2	63	1:39.999 R2	1:39.447	1:40.961 Q1	1:39.999 R2	1:41.616 R2	+2.439 R2	105.6 R2	37.272 R2	23.141 Q1	39.034 R2
4	Ford Spec Mustang	Clark Nunes	AS	79	1:40.712 Q1	1:40.430	1:40.712 Q1	1:40.914 R2	1:41.341 R2	+1.763 R2	99.7 R2	37.669 R2	23.421 R2	39.340 Q1
5	Ford Mustang GT	Igor Gandzjuk	AS	29	1:41.832 Q2	1:41.752	1:41.832 Q2	1:43.101 R2	1:43.848 R1	+1.376 R1	101.5 R2	38.092 Q2	23.813 R2	39.847 Q2
6	Ford Mustang (2007)	Andrew Gardner	AS	21	1:43.531 R1	1:43.137	1:48.610 Q2	1:43.531 R1	1:43.930 R1	+0.623 R1	99.5 R2	38.758 R1	23.908 R1	40.471 R1
7	Chevrolet camaro	Michael Thompson	AS	16	1:47.545 Q1	1:47.306	1:47.545 Q1	1:48.914 R2	1:50.212 R2	+2.275 R2	103.0 Q2	39.781 Q1	24.799 Q1	42.726 R2

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 0.86 mi
S2 IM1 → IM2
S3 IM2 → SF
SPd IM3 → SF 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
BMW M235iR	T2	1	1:37.938Max Fedler	1:37.938Max Fedler	1:39.450Max Fedler	107.6Max Fedler	36.323Max Fedler	23.019Max Fedler	38.587Max Fedler
Porsche Cayman	T2	1	1:38.887Quirt Smith	1:38.887Quirt Smith	1:40.810Quirt Smith	106.0Quirt Smith	36.895Quirt Smith	23.336Quirt Smith	38.296Quirt Smith
Chevrolet Corvette	T2	1	1:39.999Bill Collins	1:40.961Bill Collins	1:39.999Bill Collins	105.6Bill Collins	37.272Bill Collins	23.141Bill Collins	39.034Bill Collins
Ford Mustang GT	AS	3	1:40.712Clark Nunes	1:40.712Clark Nunes	1:40.914Clark Nunes	101.5Igor Gandzjuk	37.669Clark Nunes	23.421Clark Nunes	39.340Clark Nunes
Ford Spec Mustang	AS	1	1:40.712Clark Nunes	1:40.712Clark Nunes	1:40.914Clark Nunes	99.7Clark Nunes	37.669Clark Nunes	23.421Clark Nunes	39.340Clark Nunes
Ford Mustang GT	AS	1	1:41.832Igor Gandzjuk	1:41.832Igor Gandzjuk	1:43.101Igor Gandzjuk	101.5Igor Gandzjuk	38.092Igor Gandzjuk	23.813Igor Gandzjuk	39.847Igor Gandzjuk
Ford Mustang (2007)	AS	1	1:43.531Andrew Gardner	1:48.610Andrew Gardner	1:43.531Andrew Gardner	99.5Andrew Gardner	38.758Andrew Gardner	23.908Andrew Gardner	40.471Andrew Gardner
Chevrolet camaro	AS	1	1:47.545Michael Thompson	1:47.545Michael Thompson	1:48.914Michael Thompson	103.0Michael Thompson	39.781Michael Thompson	24.799Michael Thompson	42.726Michael Thompson

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.