| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Northeast Generals | NAHL | 5 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2023-24 | — | NAHL | 57 | 7 | 14 | 21 | 0.368 | 0.1309 | 0.1331 | 0.3868 | 0.3932 |
| 2024-25 | — | NAHL | 55 | 14 | 16 | 30 | 0.545 | 0.1938 | 0.1869 | 0.5727 | 0.5522 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Curry | D3 | CNE | — | 20 | 6 | 8 | 14 | 0.700 |
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.