Camden Murphy

Age: 28

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Season Age Series Starts Wins T5 T10 ASP AFP eARP ASP-FP eGR-LR PFAE Avg. PFAE Succ% Laps Led Laps Run %LL %LC
2014 17 Trucks 1 0 0 0 29.00 21.00 25.00 8.00 0.29 4.30 4.303 100.0 0 200 0.00 100.00
2015 18 Trucks 1 0 0 0 30.00 24.00 27.00 6.00 0.21 1.06 1.059 100.0 0 200 0.00 100.00
2016 19 Xfinity, Trucks 2 0 0 0 34.00 28.50 32.47 5.50 -0.16 0.54 0.268 50.0 0 298 0.00 79.68
2017 20 Trucks 11 0 0 0 25.09 25.73 22.49 -0.64 -0.29 -41.64 -3.786 18.2 0 418 0.00 27.76
2018 21 Trucks 6 0 0 0 26.00 30.33 28.42 -4.33 -0.53 -45.83 -7.638 0.0 0 112 0.00 12.86
2019 22 Xfinity, Trucks 11 0 0 0 26.00 28.09 26.16 -2.09 -0.26 -48.49 -4.408 18.2 2 1088 0.18 60.48
2020 23 Trucks 1 0 0 0 36.00 19.00 27.50 17.00 0.49 11.53 11.529 100.0 0 199 0.00 99.50
2021 24 Trucks 2 0 0 0 30.50 16.00 23.44 14.50 0.44 20.01 10.005 100.0 0 92 0.00 100.00
2022 25 Trucks 1 0 0 0 28.00 34.00 31.00 -6.00 -0.75 -10.81 -10.813 0.0 0 20 0.00 13.33
Owner Car Season Series Starts Wins Average Start Average Finish Avg. PFAE
Bobby Dotter 08 2014 Trucks 1 0 29.00 21.00 4.303
Rick Ware 1 2015 Trucks 1 0 30.00 24.00 1.059
Rick Ware 25 2016 Xfinity 1 0 39.00 26.00 5.855
Carlos Contreras 71 2016 Trucks 1 0 29.00 31.00 -5.318
D.J. Copp 36, 63, 83 2017 Trucks 6 0 24.83 24.33 -2.263
Mike Mittler 36, 63 2017 Trucks 5 0 25.40 27.40 -5.613
Jennifer Jo Cobb 0 2018 Trucks 4 0 23.75 30.25 -9.005
Mark Beaver 50 2018 Trucks 1 0 32.00 32.00 -5.325
Mike Mittler 63 2018 Trucks 1 0 29.00 29.00 -4.484
Mike Harmon 74 2019 Xfinity 2 0 24.50 30.00 -5.527
Rick Ware 17 2019 Xfinity 2 0 31.50 32.50 -4.655
Rod Sieg 93 2019 Xfinity 2 0 24.50 22.00 2.386
Joe Nemechek 8, 87 2019 Trucks 5 0 25.00 28.00 -6.580
Joe Nemechek 8 2020 Trucks 1 0 36.00 19.00 11.529
Joe Nemechek 8 2021 Trucks 1 0 37.00 13.00 15.241
Spencer Davis 11 2021 Trucks 1 0 24.00 19.00 4.769
Steven Lane 30 2022 Trucks 1 0 28.00 34.00 -10.813

If you see any numbers that are odd, they probably are, especially if it appears a series if missing a lot of laps led or a driver has the same start as they do finish (in aggregate). We have to do a bit of data cleanup to make things useful, and as a result some missing data is covered up with defaults that hopefully won't pervert the results too much.