| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Powell River Kings | BCHL | 51 | 14 | 14 | 28 | 0.549 | 0.2115 | 0.2209 | 0.7999 | 0.8353 |
| 2022-23 | Powell River Kings | BCHL | 50 | 21 | 22 | 43 | 0.860 | 0.3314 | 0.3298 | 1.2531 | 1.2471 |
| 2023-24 | Powell River Kings | BCHL | 52 | 22 | 29 | 51 | 0.981 | 0.3779 | 0.3588 | 1.4291 | 1.3568 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Long Island Univ. | D1 | AHA | SO | 30 | 5 | 7 | 12 | 0.400 |
| 2024-25 | Long Island Univ. | D1 | AHA | — | 29 | 7 | 8 | 15 | 0.517 |
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.