Age: 27
Season | Age | Series | Starts | Wins | T5 | T10 | ASP | AFP | eARP | ASP-FP | eGR-LR | PFAE | Avg. PFAE | Succ% | Laps Led | Laps Run | %LL | %LC |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2018 | 21 | Whelen | 1 | 0 | 0 | 0 | 21.00 | 14.00 | 17.50 | 7.00 | 0.35 | 3.55 | 3.547 | 100.0 | 0 | 162 | 0.00 | 98.18 |
2019 | 22 | Whelen | 5 | 0 | 0 | 0 | 25.20 | 25.20 | 24.68 | 0.00 | -0.14 | -25.05 | -5.009 | 20.0 | 0 | 543 | 0.00 | 71.73 |
2020 | 23 | Whelen | 9 | 0 | 0 | 5 | 20.11 | 12.56 | 16.35 | 7.56 | 0.38 | 39.77 | 4.419 | 88.9 | 0 | 1536 | 0.00 | 99.61 |
2021 | 24 | Whelen | 14 | 0 | 1 | 5 | 14.07 | 12.50 | 12.84 | 1.57 | 0.09 | 32.15 | 2.296 | 64.3 | 5 | 2155 | 0.23 | 93.98 |
2022 | 25 | Whelen | 10 | 0 | 3 | 3 | 12.40 | 13.50 | 12.15 | -1.10 | -0.11 | -3.91 | -0.391 | 40.0 | 108 | 1461 | 7.39 | 91.31 |
2023 | 26 | Whelen | 19 | 0 | 2 | 7 | 9.11 | 11.21 | 9.37 | -2.11 | -0.12 | 3.59 | 0.189 | 47.4 | 6 | 3138 | 0.19 | 99.62 |
2024 | 27 | Whelen | 14 | 0 | 3 | 5 | 12.21 | 12.57 | 12.07 | -0.36 | -0.01 | 4.05 | 0.289 | 50.0 | 0 | 2143 | 0.00 | 90.65 |
Owner | Car | Season | Series | Starts | Wins | Average Start | Average Finish | Avg. PFAE |
Dean Rypkema | 32 | 2018 | Whelen | 1 | 0 | 21.00 | 14.00 | 3.547 |
Dean Rypkema | 32 | 2019 | Whelen | 5 | 0 | 25.20 | 25.20 | -5.009 |
Dean Rypkema | 32 | 2020 | Whelen | 9 | 0 | 20.11 | 12.56 | 4.419 |
Dean Rypkema | 32 | 2021 | Whelen | 14 | 0 | 14.07 | 12.50 | 2.296 |
Dean Rypkema | 32 | 2022 | Whelen | 9 | 0 | 11.44 | 12.33 | 0.283 |
None | 32 | 2022 | Whelen | 1 | 0 | 21.00 | 24.00 | -6.453 |
Dean Rypkema | 32 | 2023 | Whelen | 18 | 0 | 9.11 | 11.11 | 0.269 |
None | 32 | 2023 | Whelen | 1 | 0 | 9.00 | 13.00 | -1.259 |
Dean Rypkema | 32 | 2024 | Whelen | 9 | 0 | 12.33 | 14.00 | -1.034 |
Michael Boehler | 3 | 2024 | Whelen | 5 | 0 | 12.00 | 10.00 | 2.671 |
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.