| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Exeter | NE-Prep | 28 | 11 | 16 | 27 | 0.964 | 0.1910 | 0.1910 | 0.4393 | 0.4393 |
| 2022-23 | Exeter | NE-Prep | 28 | 10 | 16 | 26 | 0.929 | 0.1840 | 0.1840 | 0.4231 | 0.4231 |
| 2023-24 | Powell River Kings | BCHL | 53 | 15 | 24 | 39 | 0.736 | 0.2835 | 0.2947 | 1.0708 | 1.1131 |
| 2024-25 | Chicoutimi Saguenéens | QMJHL | 10 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2025-26 | — | BCHL | 49 | 17 | 22 | 39 | 0.796 | 0.3067 | 0.2921 | 1.1583 | 1.1032 |
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.