| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Victoria Grizzlies | BCHL | 48 | 5 | 14 | 19 | 0.396 | 0.1525 | 0.1563 | 0.5760 | 0.5904 |
| 2022-23 | Victoria Grizzlies | BCHL | 54 | 5 | 7 | 12 | 0.222 | 0.0856 | 0.0836 | 0.3234 | 0.3157 |
| 2023-24 | Johnstown Tomahawks | NAHL | 52 | 12 | 27 | 39 | 0.750 | 0.2756 | 0.2617 | 0.7916 | 0.7518 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Stonehill | D1 | AHA | SO | 29 | 3 | 5 | 8 | 0.276 |
| 2024-25 | Stonehill | D1 | AHA | — | 32 | 1 | 6 | 7 | 0.219 |
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.