| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Lawrence Academy | NE-Prep | 26 | 6 | 1 | 7 | 0.269 | 0.0533 | 0.0533 | 0.1226 | 0.1226 |
| 2023-24 | Lawrence Academy | NE-Prep | 27 | 9 | 5 | 14 | 0.518 | 0.1027 | 0.1027 | 0.2362 | 0.2362 |
| 2024-25 | Northeast Generals | NAHL | 58 | 13 | 17 | 30 | 0.517 | 0.1900 | 0.1858 | 0.5459 | 0.5338 |
| 2025-26 | Northeast Generals | NAHL | 41 | 15 | 14 | 29 | 0.707 | 0.2599 | 0.2414 | 0.7466 | 0.6933 |
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.