| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | — | SJHL | 34 | 3 | 4 | 7 | 0.206 | 0.0528 | 0.0528 | 0.1552 | 0.1552 |
| 2020-21 | Carolina Jr. Hurricanes | USPHL-Premier | 33 | 4 | 18 | 22 | 0.667 | 0.0872 | 0.0872 | 0.2263 | 0.2263 |
| 2021-22 | Swan Valley Stampeders | MJHL | 7 | 1 | 4 | 5 | 0.714 | 0.1375 | 0.1283 | 0.4504 | 0.4204 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Alvernia | D3 | MAC | — | 27 | 8 | 8 | 16 | 0.593 |
| 2022-23 | Alvernia | D3 | MAC | — | 22 | 2 | 2 | 4 | 0.182 |
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.