| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Powassan VooDoos | NOJHL | 39 | 3 | 9 | 12 | 0.308 | 0.0782 | 0.0829 | 0.1277 | 0.1353 |
| 2022-23 | Toronto Patriots | OJHL | 34 | 2 | 8 | 10 | 0.294 | 0.0883 | 0.0896 | 0.2013 | 0.2042 |
| 2023-24 | Toronto Patriots | OJHL | 47 | 4 | 31 | 35 | 0.745 | 0.2237 | 0.2153 | 0.5097 | 0.4905 |
| 2024-25 | — | BCHL | 51 | 0 | 12 | 12 | 0.235 | 0.0876 | 0.0810 | 0.3429 | 0.3169 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | UMass Lowell | D1 | HockeyEast | FR | 4 | 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.