| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Berkshire School | NE-Prep | 25 | 2 | 2 | 4 | 0.160 | 0.0322 | 0.0322 | 0.0732 | 0.0732 |
| 2022-23 | Berkshire School | NE-Prep | 28 | 2 | 15 | 17 | 0.607 | 0.1221 | 0.1221 | 0.2776 | 0.2776 |
| 2023-24 | Berkshire School | NE-Prep | 32 | 3 | 12 | 15 | 0.469 | 0.0943 | 0.0943 | 0.2144 | 0.2144 |
| 2024-25 | — | NCDC | 48 | 1 | 8 | 9 | 0.188 | 0.0764 | 0.0761 | 0.1500 | 0.1494 |
| 2025-26 | New Hampshire Mountain Kings | NAHL | 31 | 2 | 5 | 7 | 0.226 | 0.0830 | 0.0784 | 0.2386 | 0.2253 |
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.