| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | — | NTDP-U18 | 48 | 10 | 13 | 23 | 0.479 | 0.3812 | 0.3875 | 1.7947 | 1.8243 |
| 2019-20 | — | NTDP-U18 | 47 | 15 | 15 | 30 | 0.638 | 0.5077 | 0.5077 | 2.3906 | 2.3906 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Boston University | D1 | HockeyEast | JR | 39 | 10 | 20 | 30 | 0.769 |
| 2022-23 | Boston University | D1 | HockeyEast | SO | 40 | 9 | 11 | 20 | 0.500 |
| 2021-22 | Boston University | D1 | HockeyEast | FR | 26 | 6 | 4 | 10 | 0.385 |
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.