| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Austin Bruins | NAHL | 50 | 17 | 10 | 27 | 0.540 | 0.1984 | 0.2035 | 2.0024 | 1.9919 |
| 2018-19 | Madison Capitols | USHL | 61 | 15 | 10 | 25 | 0.410 | 0.2417 | 0.2280 | 1.2308 | 1.1609 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Northeastern | D1 | HockeyEast | SR | 4 | 1 | 0 | 1 | 0.250 |
| 2021-22 | Northeastern | D1 | HockeyEast | JR | 28 | 0 | 2 | 2 | 0.071 |
| 2020-21 | Northeastern | D1 | HockeyEast | SO | 1 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Northeastern | D1 | HockeyEast | FR | 14 | 0 | 1 | 1 | 0.071 |
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.