| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | — | BCHL | 38 | 7 | 6 | 13 | 0.342 | 0.1318 | 0.1406 | 0.4976 | 0.5307 |
| 2024-25 | North Bay Battalion | OHL | 45 | 11 | 16 | 27 | 0.600 | 0.3471 | 0.3431 | 1.5710 | 1.5528 |
| 2025-26 | North Bay Battalion | OHL | 68 | 23 | 33 | 56 | 0.824 | 0.4764 | 0.4469 | 2.1563 | 2.0229 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2026-27 | UMass Lowell | D1 | HockeyEast | FR | 0 | 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.