| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Saginaw Spirit | OHL | 66 | 10 | 15 | 25 | 0.379 | 0.2191 | 0.2385 | 0.9733 | 1.0594 |
| 2022-23 | Saginaw Spirit | OHL | 68 | 10 | 14 | 24 | 0.353 | 0.2042 | 0.2134 | 0.9068 | 0.9478 |
| 2023-24 | Saginaw Spirit | OHL | 68 | 12 | 22 | 34 | 0.500 | 0.2893 | 0.2885 | 1.2848 | 1.2814 |
| 2024-25 | Saginaw Spirit | OHL | 57 | 8 | 23 | 31 | 0.544 | 0.3146 | 0.2975 | 1.3976 | 1.3218 |
| 2025-26 | Saginaw Spirit | OHL | 68 | 21 | 27 | 48 | 0.706 | 0.4084 | 0.3657 | 1.8138 | 1.6241 |
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.