| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Cedar Rapids RoughRiders | USHL | 11 | 1 | 2 | 3 | 0.273 | 0.1609 | 0.1635 | 0.8164 | 0.8298 |
| 2018-19 | Chicago Steel | USHL | 52 | 15 | 28 | 43 | 0.827 | 0.4878 | 0.4706 | 2.4756 | 2.3884 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Sacred Heart | D1 | AHA | — | 37 | 14 | 16 | 30 | 0.811 |
| 2021-22 | Sacred Heart | D1 | AHA | — | 37 | 11 | 20 | 31 | 0.838 |
| 2020-21 | Northeastern | D1 | HockeyEast | SO | 16 | 1 | 0 | 1 | 0.062 |
| 2019-20 | Northeastern | D1 | HockeyEast | FR | 33 | 1 | 4 | 5 | 0.151 |
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.