| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Sudbury Wolves | OHL | 66 | 11 | 13 | 24 | 0.364 | 0.2103 | 0.2269 | 0.9521 | 1.0273 |
| 2025-26 | Sudbury Wolves | OHL | 62 | 12 | 20 | 32 | 0.516 | 0.2986 | 0.3071 | 1.3514 | 1.3901 |
| 2026-27 | Sudbury Wolves | OHL | 6 | 4 | 3 | 7 | 1.167 | 0.6749 | 0.6749 | 3.0549 | 3.0549 |
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.