| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Islanders Hockey Club | NCDC | 10 | 1 | 1 | 2 | 0.200 | 0.0462 | 0.0538 | 0.1617 | 0.1883 |
| 2020-21 | — | NCDC | 27 | 18 | 17 | 35 | 1.296 | 0.2996 | 0.2996 | 1.0482 | 1.0482 |
| 2021-22 | Waterloo Black Hawks | USHL | 5 | 1 | 0 | 1 | 0.200 | 0.1180 | 0.1158 | 0.5892 | 0.5783 |
| 2022-23 | Johnstown Tomahawks | NAHL | 35 | 18 | 17 | 35 | 1.000 | 0.3552 | 0.3457 | 1.0499 | 1.0217 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Utica | D3 | UCHC | JR | 29 | 11 | 17 | 28 | 0.966 |
| 2024-25 | Vermont | D1 | HockeyEast | — | 3 | 0 | 1 | 1 | 0.333 |
| 2023-24 | Vermont | D1 | HockeyEast | — | 14 | 1 | 5 | 6 | 0.429 |
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.