| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | — | OHL | 2 | 1 | 0 | 1 | 0.500 | 0.2893 | 0.3269 | 1.3092 | 1.4795 |
| 2023-24 | — | OHL | 57 | 3 | 7 | 10 | 0.175 | 0.1015 | 0.1098 | 0.4593 | 0.4971 |
| 2024-25 | North Bay Battalion | OHL | 67 | 19 | 13 | 32 | 0.478 | 0.2763 | 0.2848 | 1.2505 | 1.2887 |
| 2025-26 | North Bay Battalion | OHL | 65 | 25 | 23 | 48 | 0.739 | 0.4272 | 0.4188 | 1.9337 | 1.8956 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2026-27 | UConn | 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.