| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Moncton Wildcats | QMJHL | 59 | 8 | 3 | 11 | 0.186 | 0.0916 | 0.1004 | 0.4977 | 0.5457 |
| 2024-25 | Halifax Mooseheads | QMJHL | 59 | 18 | 26 | 44 | 0.746 | 0.3664 | 0.3837 | 1.9915 | 2.0855 |
| 2025-26 | Halifax Mooseheads | QMJHL | 61 | 37 | 28 | 65 | 1.066 | 0.5235 | 0.5234 | 2.8455 | 2.8452 |
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.