| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Kitchener Rangers | OHL | 49 | 2 | 21 | 23 | 0.469 | 0.2715 | 0.2978 | 1.2291 | 1.3481 |
| 2024-25 | Kitchener Rangers | OHL | 67 | 14 | 40 | 54 | 0.806 | 0.4663 | 0.4874 | 2.1104 | 2.2059 |
| 2025-26 | Kitchener Rangers | OHL | 57 | 15 | 41 | 56 | 0.983 | 0.5684 | 0.5655 | 2.5726 | 2.5596 |
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.