| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | The Hill School | NE-Prep | 23 | 1 | 0 | 1 | 0.043 | 0.0084 | 0.0084 | 0.0199 | 0.0199 |
| 2023-24 | The Hill School | NE-Prep | 14 | 3 | 2 | 5 | 0.357 | 0.0689 | 0.0689 | 0.1634 | 0.1634 |
| 2024-25 | — | NCDC | 34 | 2 | 6 | 8 | 0.235 | 0.0544 | 0.0526 | 0.1903 | 0.1840 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Assumption | D2 | NE10 | — | 15 | 1 | 1 | 2 | 0.133 |
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.