| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Cushing Academy | NE-Prep | 33 | 3 | 7 | 10 | 0.303 | 0.0855 | 0.0855 | 0.1387 | 0.1387 |
| 2019-20 | Cushing Academy | NE-Prep | 34 | 14 | 26 | 40 | 1.177 | 0.3319 | 0.3319 | 0.5384 | 0.5384 |
| 2020-21 | Chicago Steel | USHL | 14 | 1 | 3 | 4 | 0.286 | 0.1756 | 0.1756 | 0.8417 | 0.8417 |
| 2021-22 | Chicago Steel | USHL | 59 | 11 | 27 | 38 | 0.644 | 0.3959 | 0.3893 | 1.8976 | 1.8660 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Boston College | D1 | HockeyEast | SR | 36 | 6 | 16 | 22 | 0.611 |
| 2024-25 | Boston College | D1 | HockeyEast | JR | 35 | 2 | 13 | 15 | 0.429 |
| 2023-24 | Boston College | D1 | HockeyEast | SO | 41 | 3 | 13 | 16 | 0.390 |
| 2022-23 | Boston College | D1 | HockeyEast | FR | 35 | 3 | 16 | 19 | 0.543 |
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.