| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Trinity-Pawling | NE-Prep | 25 | 3 | 14 | 17 | 0.680 | 0.1918 | 0.1918 | 0.3112 | 0.3112 |
| 2020-21 | Trinity-Pawling | NE-Prep | 6 | 5 | 1 | 6 | 1.000 | 0.2821 | 0.2821 | 0.4576 | 0.4576 |
| 2021-22 | Victoria Grizzlies | BCHL | 53 | 9 | 19 | 28 | 0.528 | 0.1968 | 0.1891 | 0.7698 | 0.7396 |
| 2022-23 | Victoria Grizzlies | BCHL | 54 | 17 | 28 | 45 | 0.833 | 0.3104 | 0.2830 | 1.2142 | 1.1070 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | RPI | D1 | ECAC | JR | 12 | 2 | 0 | 2 | 0.167 |
| 2024-25 | Boston University | D1 | HockeyEast | — | 3 | 0 | 0 | 0 | 0.000 |
| 2023-24 | Boston University | D1 | HockeyEast | — | 0 | 0 | 0 | 0 | 0.000 |
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.