| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Boston Jr. Bruins | NCDC | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2024-25 | — | BCHL | 53 | 8 | 8 | 16 | 0.302 | 0.1163 | 0.1118 | 0.4394 | 0.4226 |
| 2025-26 | Maine Nordiques | NAHL | 50 | 24 | 31 | 55 | 1.100 | 0.4041 | 0.3757 | 1.1611 | 1.0795 |
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.