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BoP Lab / Sonoma Raceway

STL + FE2 at Sonoma Raceway

Class · click a class to switch, + to compare alongside
Events
PosCarDriverClass#LapTheoreticalQualRace5-lap stintConsistencyTrapS1S2S3
1SCCA Mazda FE2Flinn LazierFE231:35.040 Q31:34.8791:35.040 Q31:35.563 R1:35.818 R+1.555 R124.4 Q233.743 Q339.863 Q221.273 Q2
2SCCA Mazda FE2Liam SnyderFE2281:35.085 Q21:34.9951:35.085 Q21:35.955 R1:36.186 R+1.668 R125.3 Q333.796 Q239.933 Q121.266 Q2
3SCCA Mazda FE2Scott RettichFE2171:35.967 Q31:35.5681:35.967 Q31:36.954 R1:37.158 R+0.567 R126.8 Q334.228 Q2, Q340.179 Q221.161 Q3
4SCCA Mazda FE2Rhett BarkauFE2011:36.455 Q31:36.2531:36.455 Q31:36.967 R1:37.117 R+1.059 R120.7 R34.258 Q340.339 Q321.656 Q3
5SCCA Mazda FE2Jim DevenportFE2231:36.521 Q21:36.4211:36.521 Q21:37.217 R1:37.503 R+1.482 R119.1 R34.349 Q240.523 Q321.549 Q2
6SCCA Mazda FE2Brandon AlecksonFE2331:36.552 Q11:36.5521:36.552 Q11:37.932 R123.8 Q134.543 Q140.439 Q121.570 Q1
7SCCA Mazda FE2Thomas W BurtFE2451:36.726 Q31:36.3561:36.726 Q31:38.001 R1:38.528 R+1.359 R123.5 Q234.404 Q240.675 Q321.277 Q3
8SCCA Mazda FE2Paul SchneiderFE2731:37.018 Q31:36.5251:37.018 Q31:37.269 R1:37.708 R+1.109 R118.6 R34.418 Q340.557 Q221.550 Q2
9SCCA Mazda FE2Keith McDonaldFE2101:40.870 Q31:40.4661:40.870 Q31:41.702 R1:42.230 R+1.915 R116.0 Q336.077 Q342.166 Q322.223 Q3
10Mazda MX-5Danny SteynSTL91:49.138 Q31:48.8061:49.138 Q31:49.754 R1:50.033 R+1.311 R102.6 Q238.513 Q345.632 Q224.661 Q2
11Mazda MX-5Craig McHaffieSTL681:50.060 Q31:50.0601:50.060 Q31:51.045 R1:51.195 R+0.444 R103.2 Q239.149 Q346.213 R24.968 Q2
12Acura Integra GSRCliff IraSTL361:50.686 Q11:50.2381:50.686 Q11:51.932 R1:52.432 R+0.756 R91.1 R38.990 Q146.365 Q124.883 Q2
13Acura IntegraTim AugerSTL071:51.475 Q31:51.4751:51.475 Q31:52.147 R1:52.299 R+0.652 R102.2 R39.618 Q346.703 Q325.210 R
14Mazda MiataKen KannardSTL511:51.620 Q31:51.4711:51.620 Q31:52.267 R1:52.839 R+1.137 R97.1 Q339.426 R46.707 Q325.338 R
15Honda CivicThomas LepperSTL211:52.911 Q21:52.8541:52.911 Q294.2 Q239.749 Q147.328 Q225.777 Q2
16Mazda MiataBen BrandtSTL571:53.002 R1:52.8451:53.089 Q21:53.002 R1:53.894 R+2.215 R96.9 R40.009 Q247.313 R25.523 R
17Mazda MiataAmy MillsSTL311:53.558 Q21:52.9781:53.558 Q21:54.886 R99.5 Q340.015 Q247.317 Q225.646 Q2
18Toyota CelicaJames BishopSTL171:54.458 R1:53.8691:54.932 Q21:54.458 R1:55.554 R+1.993 R96.1 Q240.249 R48.087 R25.533 R
19Honda Civic SiCarl YoungSTL231:54.525 R1:54.3731:54.964 Q31:54.525 R1:55.295 R+1.289 R96.8 Q340.690 R47.886 R25.797 R
20Mazda MiataCameron WagnerSTL091:54.560 R1:54.5081:55.855 Q21:54.560 R1:55.731 R+1.684 R95.7 R40.481 R48.121 R25.906 R
21Honda Civic SiMorgan TrotterSTL611:54.710 R1:53.7181:55.912 Q31:54.710 R1:55.787 R+1.349 R94.9 R40.439 R47.120 R26.159 R
22Honda CRX HFRobert StrohmeyerSTL881:54.857 Q21:54.8571:54.857 Q295.2 Q241.094 Q247.933 Q225.830 Q2
23Mazda MiataWilson PowellSTL771:55.690 Q21:55.3271:55.690 Q21:56.128 R1:56.521 R+0.800 R98.0 Q340.679 Q248.420 R26.228 Q3
24Acura IntegraWard RoseSTL081:56.354 R1:55.9031:56.870 Q31:56.354 R1:56.808 R+1.294 R92.1 R41.180 Q348.547 Q126.176 Q3
25Honda Del SolWC StormsSTL121:57.753 R1:57.3711:58.932 Q31:57.753 R1:58.450 R+1.668 R96.1 R41.381 R49.719 R26.271 R
26Mazda MiataWilliam KeelingSTL111:58.596 R1:58.3471:59.374 Q11:58.596 R1:59.799 R+1.418 R94.7 R41.901 Q349.595 R26.851 R
27Mazda MiataWhitfield GreggSTL1171:58.880 Q21:58.5931:58.880 Q21:59.433 R1:59.993 R+1.289 R94.7 R41.934 Q249.831 Q226.828 Q2
28Mazda MiataJoe SchubertSTL491:58.918 Q11:58.4521:58.918 Q11:59.231 R1:59.707 R+0.811 R94.0 R41.576 Q149.994 Q126.882 Q2

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
SCCA Mazda FE2FE291:35.040Flinn Lazier1:35.040Flinn Lazier1:35.563Flinn Lazier126.8Scott Rettich33.743Flinn Lazier39.863Flinn Lazier21.161Scott Rettich
Mazda MX-5STL21:49.138Danny Steyn1:49.138Danny Steyn1:49.754Danny Steyn103.2Craig McHaffie38.513Danny Steyn45.632Danny Steyn24.661Danny Steyn
Acura IntegraSTL31:50.686Cliff Ira1:50.686Cliff Ira1:51.932Cliff Ira102.2Tim Auger38.990Cliff Ira46.365Cliff Ira24.883Cliff Ira
Mazda MiataSTL81:51.620Ken Kannard1:51.620Ken Kannard1:52.267Ken Kannard99.5Amy Mills39.426Ken Kannard46.707Ken Kannard25.338Ken Kannard
Honda Civic SiSTL31:52.911Thomas Lepper1:52.911Thomas Lepper1:54.525Carl Young96.8Carl Young39.749Thomas Lepper47.120Morgan Trotter25.777Thomas Lepper
Toyota CelicaSTL11:54.458James Bishop1:54.932James Bishop1:54.458James Bishop96.1James Bishop40.249James Bishop48.087James Bishop25.533James Bishop
Honda CRX HFSTL11:54.857Robert Strohmeyer1:54.857Robert Strohmeyer95.2Robert Strohmeyer41.094Robert Strohmeyer47.933Robert Strohmeyer25.830Robert Strohmeyer
Honda Del SolSTL11:57.753WC Storms1:58.932WC Storms1:57.753WC Storms96.1WC Storms41.381WC Storms49.719WC Storms26.271WC Storms

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.