| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | — | NTDP-U18 | 49 | 5 | 22 | 27 | 0.551 | 0.4272 | 0.4272 | 2.0508 | 2.0508 |
| 2021-22 | — | NTDP-U18 | 60 | 10 | 53 | 63 | 1.050 | 0.8142 | 0.7877 | 3.9080 | 3.7806 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Boston University | D1 | HockeyEast | — | 38 | 15 | 34 | 49 | 1.290 |
| 2022-23 | Boston University | D1 | HockeyEast | — | 39 | 15 | 33 | 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.