| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Thayer Academy | NE-Prep | 25 | 0 | 3 | 3 | 0.120 | 0.0241 | 0.0241 | 0.0549 | 0.0549 |
| 2023-24 | Thayer Academy | NE-Prep | 23 | 7 | 3 | 10 | 0.435 | 0.0874 | 0.0874 | 0.1988 | 0.1988 |
| 2024-25 | Surrey Eagles | BCHL | 28 | 3 | 9 | 12 | 0.429 | 0.1651 | 0.1629 | 0.6234 | 0.6150 |
| 2025-26 | Wisconsin Windigo | NAHL | 48 | 13 | 10 | 23 | 0.479 | 0.1761 | 0.1681 | 0.5065 | 0.4834 |
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.