| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Chicago Steel | USHL | 51 | 1 | 5 | 6 | 0.118 | 0.0694 | 0.0729 | 0.3529 | 0.3706 |
| 2018-19 | Victoria Grizzlies | BCHL | 54 | 8 | 37 | 45 | 0.833 | 0.3211 | 0.3268 | 1.2120 | 1.2335 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Vermont | D1 | HockeyEast | — | 33 | 6 | 12 | 18 | 0.545 |
| 2022-23 | Northeastern | D1 | HockeyEast | SR | 32 | 1 | 9 | 10 | 0.312 |
| 2021-22 | Northeastern | D1 | HockeyEast | JR | 35 | 1 | 10 | 11 | 0.314 |
| 2020-21 | Northeastern | D1 | HockeyEast | SO | 14 | 1 | 1 | 2 | 0.143 |
| 2019-20 | Northeastern | D1 | HockeyEast | FR | 29 | 1 | 4 | 5 | 0.172 |
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.