| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Albany Academy | NE-Prep | 27 | 9 | 11 | 20 | 0.741 | 0.1493 | 0.1493 | 0.3390 | 0.3390 |
| 2024-25 | Cushing Academy | NE-Prep | 30 | 6 | 21 | 27 | 0.900 | 0.1814 | 0.1814 | — | — |
| 2025-26 | Moncton Wildcats | QMJHL | 63 | 13 | 68 | 81 | 1.286 | 0.6403 | 0.6632 | 3.4305 | 3.5533 |
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.