| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Tri-City Storm | USHL | 57 | 12 | 12 | 24 | 0.421 | 0.2682 | 0.2993 | 1.2619 | 1.4083 |
| 2019-20 | Tri-City Storm | USHL | 48 | 26 | 24 | 50 | 1.042 | 0.6634 | 0.6634 | 3.1217 | 3.1217 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Miami | D1 | NCHC | — | 34 | 7 | 13 | 20 | 0.588 |
| 2023-24 | Boston College | D1 | HockeyEast | JR | 40 | 2 | 6 | 8 | 0.200 |
| 2022-23 | Boston College | D1 | HockeyEast | SO | 36 | 10 | 11 | 21 | 0.583 |
| 2021-22 | Boston College | D1 | HockeyEast | FR | 38 | 9 | 13 | 22 | 0.579 |
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.