Age: 28
Season | Age | Series | Starts | Wins | ASP | AFP | eARP | ASP-FP | eGR-LR | PFAE | Avg. PFAE | Laps Led | Laps Run | %LL | %LC |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2014 | 18 | V8 | 1 | 0 | 22.00 | 11.00 | 16.50 | 11.00 | 0.52 | 6.93 | 6.932 | 0 | 161 | 0.00 | 100.00 |
2015 | 19 | V8 | 30 | 0 | 14.53 | 18.17 | 16.90 | -3.63 | -0.29 | -112.92 | -3.764 | 4 | 1422 | 0.28 | 88.88 |
2016 | 20 | V8 | 29 | 0 | 22.86 | 20.86 | 21.33 | 2.00 | 0.07 | -64.11 | -2.211 | 3 | 1630 | 0.18 | 90.35 |
2017 | 21 | V8 | 3 | 0 | 11.00 | 11.67 | 11.32 | -0.67 | 0.08 | 1.45 | 0.483 | 47 | 340 | 13.82 | 95.24 |
2018 | 22 | V8 | 30 | 0 | 15.17 | 15.97 | 14.55 | -0.80 | -0.10 | -38.24 | -1.275 | 1 | 1903 | 0.05 | 96.60 |
2019 | 23 | V8 | 31 | 0 | 12.71 | 13.87 | 13.50 | -1.16 | -0.03 | -23.17 | -0.747 | 0 | 1941 | 0.00 | 99.13 |
2020 | 24 | V8 | 27 | 0 | 13.07 | 12.30 | 12.88 | 0.78 | 0.07 | 24.83 | 0.920 | 11 | 1112 | 0.99 | 98.06 |
2021 | 25 | V8 | 30 | 1 | 13.53 | 14.03 | 14.36 | -0.50 | -0.12 | -20.82 | -0.694 | 17 | 1253 | 1.36 | 96.24 |
2022 | 26 | V8 | 15 | 0 | 11.60 | 12.53 | 9.72 | -0.93 | -0.10 | -3.97 | -0.265 | 29 | 562 | 5.16 | 91.98 |
Owner | Car | Season | Series | Starts | Wins | Average Start | Average Finish | Avg. PFAE |
Super Black Racing | 111 | 2014 | V8 | 1 | 0 | 22.00 | 11.00 | 6.932 |
Super Black Racing / PRA | 111 | 2015 | V8 | 30 | 0 | 14.53 | 18.17 | -3.764 |
Lucas Dumbrell | 3 | 2016 | V8 | 29 | 0 | 22.86 | 20.86 | -2.211 |
Brad Jones | 14 | 2017 | V8 | 3 | 0 | 11.00 | 11.67 | 0.483 |
Nissan Motorsport | 7 | 2018 | V8 | 30 | 0 | 15.17 | 15.97 | -1.275 |
Kelly Racing | 7 | 2019 | V8 | 31 | 0 | 12.71 | 13.87 | -0.747 |
Kelly Racing | 7 | 2020 | V8 | 27 | 0 | 13.07 | 12.30 | 0.920 |
Kelly Grove Racing | 7 | 2021 | V8 | 30 | 1 | 13.53 | 14.03 | -0.694 |
Brad Jones | 8 | 2022 | V8 | 15 | 0 | 11.60 | 12.53 | -0.265 |
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.