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BoP Lab / Laguna Seca

T1 + AS + FB at Laguna Seca

Track map: sectors and speed trap

Track map with timing sectors and speed trap
Shown for: Super Tour Jul 2019 (practice, qualifying, race)
Class · click a class to switch, + to compare alongside
Events
PosCarDriverClass#LapTheoreticalQualRace5-lap stintConsistencyTrapS1S2S3
1Stohr F1000Jake LathamFB151:24.666 Q11:24.2711:24.666 Q11:25.752 R11:27.209 R1+3.061 R1116.0 R231.421 Q119.578 Q133.272 Q1
2Ford MustangRoss MurrayT1741:34.983 Q21:34.9111:34.983 Q21:36.724 R21:37.211 R2+3.295 R2118.4 Q235.648 Q222.066 Q237.197 Q2
3Chevrolet corvette Z06Sean WhitwoodT161:37.439 Q21:37.4161:37.439 Q21:39.136 R21:39.876 R2+1.617 R2105.8 Q136.751 Q222.818 Q237.847 Q2
4CorvetteMark HooverT1981:37.723 Q11:37.6311:37.723 Q11:39.340 R21:40.097 R2+2.374 R2110.6 Q1, R236.731 Q122.558 Q138.342 Q1
5Acura NSXIgor LyustinT1711:38.570 Q11:38.5701:38.570 Q11:39.300 R21:40.102 R2+2.493 R2114.2 Q236.838 Q122.542 Q139.190 Q1
6Ford Spec MustangClark NunesAS791:40.712 Q11:40.4301:40.712 Q11:40.914 R21:41.341 R2+1.763 R299.7 R237.669 R223.421 R239.340 Q1
7Ford Mustang GTIgor GandzjukAS291:41.832 Q21:41.7521:41.832 Q21:43.101 R21:43.848 R1+1.376 R1101.5 R238.092 Q223.813 R239.847 Q2
8Ford Mustang (2007)Andrew GardnerAS211:43.531 R11:43.1371:48.610 Q21:43.531 R11:43.930 R1+0.623 R199.5 R238.758 R123.908 R140.471 R1
9Chevrolet CorvetteTim SullivanT1581:45.024 Q11:44.7971:45.024 Q11:45.366 R21:45.951 R2+1.790 R2106.9 Q238.730 Q124.122 R241.945 R2
10Chevrolet camaroMichael ThompsonAS161:47.545 Q11:47.3061:47.545 Q11:48.914 R21:50.212 R2+2.275 R2103.0 Q239.781 Q124.799 Q142.726 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

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

CarClassDriversLapQualRaceTrapS1S2S3
Stohr F1000FB11:24.666Jake Latham1:24.666Jake Latham1:25.752Jake Latham116.0Jake Latham31.421Jake Latham19.578Jake Latham33.272Jake Latham
Ford Mustang GTAS/T141:34.983Ross Murray1:34.983Ross Murray1:36.724Ross Murray118.4Ross Murray35.648Ross Murray22.066Ross Murray37.197Ross Murray
Chevrolet CorvetteT121:37.439Sean Whitwood1:37.439Sean Whitwood1:39.136Sean Whitwood106.9Tim Sullivan36.751Sean Whitwood22.818Sean Whitwood37.847Sean Whitwood
CorvetteT111:37.723Mark Hoover1:37.723Mark Hoover1:39.340Mark Hoover110.6Mark Hoover36.731Mark Hoover22.558Mark Hoover38.342Mark Hoover
Acura NSXT111:38.570Igor Lyustin1:38.570Igor Lyustin1:39.300Igor Lyustin114.2Igor Lyustin36.838Igor Lyustin22.542Igor Lyustin39.190Igor Lyustin
Chevrolet camaroAS11:47.545Michael Thompson1:47.545Michael Thompson1:48.914Michael Thompson103.0Michael Thompson39.781Michael Thompson24.799Michael Thompson42.726Michael 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.