| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | King Rebellion | OJHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2020-21 | Toronto Patriots | OJHL | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Toronto Patriots | OJHL | 45 | 1 | 10 | 11 | 0.244 | 0.0683 | 0.0713 | 0.1687 | 0.1760 |
| 2022-23 | — | OJHL | 42 | 1 | 11 | 12 | 0.286 | 0.0798 | 0.0792 | 0.1972 | 0.1957 |
| 2023-24 | — | OJHL | 55 | 8 | 38 | 46 | 0.836 | 0.2337 | 0.2197 | 0.5772 | 0.5427 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Southern Maine | D3 | — | SO | 25 | 1 | 4 | 5 | 0.200 |
| 2024-25 | Canton | D3 | SUNYAC | FR | 14 | 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.