| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Brunswick | NE-Prep | 27 | 5 | 7 | 12 | 0.444 | 0.0880 | 0.0880 | 0.2025 | 0.2025 |
| 2022-23 | Brunswick | NE-Prep | 29 | 4 | 4 | 8 | 0.276 | 0.0547 | 0.0547 | 0.1257 | 0.1257 |
| 2023-24 | Brunswick | NE-Prep | 33 | 5 | 5 | 10 | 0.303 | 0.0600 | 0.0600 | 0.1380 | 0.1380 |
| 2024-25 | Tri-City Storm | USHL | 15 | 1 | 0 | 1 | 0.067 | 0.0393 | 0.0374 | 0.2003 | 0.1908 |
| 2025-26 | Northeast Generals | NAHL | 54 | 5 | 4 | 9 | 0.167 | 0.0612 | 0.0580 | 0.1760 | 0.1667 |
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.