| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Northeast Generals | NAHL | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2023-24 | Northeast Generals | NAHL | 44 | 4 | 6 | 10 | 0.227 | 0.0835 | 0.0870 | 0.2399 | 0.2499 |
| 2024-25 | Northeast Generals | NAHL | 20 | 2 | 11 | 13 | 0.650 | 0.2388 | 0.2362 | 0.6861 | 0.6786 |
| 2025-26 | — | NAHL | 47 | 8 | 23 | 31 | 0.660 | 0.2423 | 0.2277 | 0.6962 | 0.6543 |
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.