| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Bonnyville Pontiacs | AJHL | 39 | 0 | 9 | 9 | 0.231 | 0.0774 | 0.0813 | 0.2139 | 0.2248 |
| 2022-23 | Collingwood Blues | OJHL | 48 | 2 | 12 | 14 | 0.292 | 0.0715 | 0.0712 | 0.1997 | 0.1989 |
| 2023-24 | Navan Grads | CCHL | 50 | 7 | 36 | 43 | 0.860 | 0.1865 | 0.1774 | 0.6657 | 0.6331 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Bowdoin | D3 | NESCAC | — | 9 | 0 | 2 | 2 | 0.222 |
| 2024-25 | Bowdoin | D3 | NESCAC | — | 16 | 1 | 3 | 4 | 0.250 |
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.