| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | — | NTDP-U18 | 62 | 2 | 29 | 31 | 0.500 | 0.3716 | 0.3875 | 1.8657 | 1.9453 |
| 2018-19 | — | NTDP-U18 | 55 | 6 | 36 | 42 | 0.764 | 0.5676 | 0.5629 | 2.8493 | 2.8257 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Boston University | D1 | HockeyEast | — | 37 | 9 | 22 | 31 | 0.838 |
| 2021-22 | Boston University | D1 | HockeyEast | — | 35 | 5 | 26 | 31 | 0.886 |
| 2020-21 | Boston University | D1 | HockeyEast | — | 16 | 2 | 6 | 8 | 0.500 |
| 2019-20 | Boston University | D1 | HockeyEast | — | 34 | 3 | 13 | 16 | 0.471 |
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.