| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | — | NTDP-U18 | 61 | 10 | 58 | 68 | 1.115 | 0.8867 | 0.9161 | 4.1751 | 4.3134 |
| 2023-24 | — | NTDP-U18 | 51 | 15 | 36 | 51 | 1.000 | 0.7954 | 0.7809 | 3.7452 | 3.6771 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Boston University | D1 | HockeyEast | — | 35 | 10 | 22 | 32 | 0.914 |
| 2024-25 | Boston University | D1 | HockeyEast | — | 39 | 14 | 34 | 48 | 1.231 |
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.