Age: 26
| Season | Age | Series | Starts | Wins | ASP | AFP | eARP | ASP-FP | eGR-LR | PFAE | Avg. PFAE | Laps Led | Laps Run | %LL | %LC |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018 | 19 | Whelen | 15 | 0 | 19.87 | 15.73 | 17.43 | 4.13 | 0.19 | 21.96 | 1.464 | 0 | 2384 | 0.00 | 97.70 |
| 2019 | 20 | Whelen | 16 | 0 | 12.13 | 15.69 | 13.43 | -3.56 | -0.13 | -32.72 | -2.045 | 70 | 2413 | 2.90 | 92.20 |
| 2020 | 21 | Whelen | 7 | 0 | 15.71 | 20.86 | 16.48 | -5.14 | -0.43 | -44.35 | -6.336 | 0 | 901 | 0.00 | 72.78 |
| 2021 | 22 | Whelen | 11 | 0 | 11.09 | 12.64 | 10.85 | -1.55 | -0.13 | 3.82 | 0.347 | 0 | 1573 | 0.00 | 88.12 |
| 2022 | 23 | Whelen | 17 | 0 | 12.88 | 11.12 | 11.92 | 1.76 | 0.14 | 51.37 | 3.022 | 80 | 2873 | 2.78 | 99.07 |
| 2023 | 24 | Whelen | 10 | 0 | 10.60 | 14.90 | 12.46 | -4.30 | -0.17 | -29.46 | -2.946 | 17 | 1503 | 1.13 | 95.01 |
| 2024 | 25 | Whelen | 3 | 0 | 17.00 | 17.67 | 17.08 | -0.67 | 0.06 | -6.16 | -2.055 | 6 | 429 | 1.40 | 85.80 |
| Owner | Car | Season | Series | Starts | Wins | Average Start | Average Finish | Avg. PFAE |
| Amy Catalano | 54 | 2018 | Whelen | 14 | 0 | 19.64 | 15.71 | 1.372 |
| David Catalano | 54 | 2018 | Whelen | 1 | 0 | 23.00 | 16.00 | 2.754 |
| Amy Catalano | 54 | 2019 | Whelen | 16 | 0 | 12.13 | 15.69 | -2.045 |
| David Catalano | 54 | 2020 | Whelen | 1 | 0 | 12.00 | 24.00 | -11.123 |
| Zachary Reissner | 54 | 2020 | Whelen | 2 | 0 | 18.50 | 18.00 | -2.798 |
| Zach Reissner | 54 | 2020 | Whelen | 4 | 0 | 15.25 | 21.50 | -6.908 |
| David Catalano | 54 | 2021 | Whelen | 11 | 0 | 11.09 | 12.64 | 0.347 |
| David Catalano | 54 | 2022 | Whelen | 16 | 0 | 13.06 | 10.75 | 3.397 |
| None | 54 | 2022 | Whelen | 1 | 0 | 10.00 | 17.00 | -2.982 |
| David Catalano | 54 | 2023 | Whelen | 10 | 0 | 10.60 | 14.90 | -2.946 |
| Timmy Catalano | 54 | 2024 | Whelen | 3 | 0 | 17.00 | 17.67 | -2.055 |
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.