| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Berkshire School | NE-Prep | 29 | 2 | 7 | 9 | 0.310 | 0.0596 | 0.0596 | 0.1414 | 0.1414 |
| 2023-24 | Boston Jr. Bruins | NCDC | 49 | 4 | 14 | 18 | 0.367 | 0.0849 | 0.0831 | 0.2960 | 0.2897 |
| 2024-25 | Thunder Hockey Club | NCDC | 51 | 6 | 11 | 17 | 0.333 | 0.0770 | 0.0719 | 0.2686 | 0.2509 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Saint Anselm | D2 | NE10 | — | 32 | 9 | 14 | 23 | 0.719 |
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.