| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Oshawa Generals | OHL | 2 | 0 | 1 | 1 | 0.500 | 0.2893 | 0.3039 | 1.3092 | 1.3752 |
| 2024-25 | Oshawa Generals | OHL | 63 | 6 | 6 | 12 | 0.191 | 0.1102 | 0.1101 | 0.4988 | 0.4982 |
| 2025-26 | Oshawa Generals | OHL | 64 | 24 | 18 | 42 | 0.656 | 0.3796 | 0.3601 | 1.7182 | 1.6298 |
| 2026-27 | Oshawa Generals | OHL | 7 | 1 | 3 | 4 | 0.571 | 0.3306 | 0.3306 | 1.4962 | 1.4962 |
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.