| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Noble & Greenough | NE-Prep | 26 | 0 | 3 | 3 | 0.115 | 0.0229 | 0.0229 | 0.0526 | 0.0526 |
| 2022-23 | Noble & Greenough | NE-Prep | 27 | 12 | 14 | 26 | 0.963 | 0.1908 | 0.1908 | 0.4387 | 0.4387 |
| 2023-24 | Noble & Greenough | NE-Prep | 26 | 9 | 10 | 19 | 0.731 | 0.1448 | 0.1448 | 0.3330 | 0.3330 |
| 2024-25 | Noble & Greenough | NE-Prep | 27 | 17 | 19 | 36 | 1.333 | 0.2641 | 0.2641 | 0.6075 | 0.6075 |
| 2025-26 | Gatineau Olympiques | QMJHL | 47 | 5 | 5 | 10 | 0.213 | 0.1045 | 0.0986 | 0.5682 | 0.5360 |
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.