| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Chippewa Steel | NAHL | 34 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | Northeast Generals | NAHL | 58 | 11 | 17 | 28 | 0.483 | 0.1715 | 0.1794 | 0.5069 | 0.5303 |
| 2023-24 | Northeast Generals | NAHL | 57 | 10 | 22 | 32 | 0.561 | 0.1994 | 0.1991 | 0.5894 | 0.5884 |
| 2024-25 | — | NAHL | 51 | 18 | 17 | 35 | 0.686 | 0.2438 | 0.2306 | 0.7205 | 0.6815 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Curry | D3 | CNE | — | 10 | 0 | 2 | 2 | 0.200 |
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.