| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Pickering Panthers | OJHL | 10 | 2 | 3 | 5 | 0.500 | 0.1226 | 0.1432 | 0.3422 | 0.3996 |
| 2018-19 | Pickering Panthers | OJHL | 54 | 1 | 18 | 19 | 0.352 | 0.0863 | 0.0965 | 0.2409 | 0.2695 |
| 2019-20 | Pickering Panthers | OJHL | 52 | 15 | 26 | 41 | 0.788 | 0.1933 | 0.1933 | 0.5397 | 0.5397 |
| 2020-21 | Northern Cyclones | NCDC | 9 | 1 | 6 | 7 | 0.778 | 0.1797 | 0.1797 | 0.6289 | 0.6289 |
| 2021-22 | Pickering Panthers | OJHL | 32 | 20 | 28 | 48 | 1.500 | 0.3677 | 0.3578 | 1.0268 | 0.9990 |
| 2022-23 | Pickering Panthers | OJHL | 31 | 17 | 16 | 33 | 1.065 | 0.2609 | 0.2405 | 0.7287 | 0.6717 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Tufts | D3 | NESCAC | — | 20 | 3 | 1 | 4 | 0.200 |
| 2024-25 | Union | D1 | ECAC | — | 0 | 0 | 0 | 0 | 0.000 |
| 2023-24 | Union | D1 | ECAC | — | 1 | 0 | 0 | 0 | 0.000 |
How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.
Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.