| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | — | NA3HL | 30 | 0 | 7 | 7 | 0.233 | 0.0293 | 0.0304 | 0.0737 | 0.0765 |
| 2023-24 | Minnesota Squatch | USPHL-Premier | 34 | 2 | 16 | 18 | 0.529 | 0.0692 | 0.0686 | 0.1797 | 0.1782 |
| 2024-25 | Florida Eels | USPHL-Premier | 25 | 1 | 6 | 7 | 0.280 | 0.0366 | 0.0341 | 0.0950 | 0.0886 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Western Connecticut | D3 | LittleEast | FR | 6 | 0 | 0 | 0 | 0.000 |
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.