| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Brockville Braves | CCHL | 52 | 10 | 9 | 19 | 0.365 | 0.0793 | 0.0844 | 0.2827 | 0.3010 |
| 2023-24 | Charlottetown Islanders | QMJHL | 67 | 7 | 23 | 30 | 0.448 | 0.2200 | 0.2185 | 1.1958 | 1.1874 |
| 2024-25 | Charlottetown Islanders | QMJHL | 61 | 13 | 18 | 31 | 0.508 | 0.2497 | 0.2357 | 1.3570 | 1.2808 |
| 2025-26 | Charlottetown Islanders | QMJHL | 54 | 15 | 20 | 35 | 0.648 | 0.3184 | 0.2855 | 1.7306 | 1.5516 |
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.