| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Peterborough Petes | OHL | 52 | 1 | 3 | 4 | 0.077 | 0.0445 | 0.0484 | 0.1976 | 0.2148 |
| 2022-23 | — | OHL | 60 | 1 | 11 | 12 | 0.200 | 0.1157 | 0.1208 | 0.5139 | 0.5365 |
| 2023-24 | Saginaw Spirit | OHL | 50 | 1 | 6 | 7 | 0.140 | 0.0810 | 0.0807 | 0.3597 | 0.3583 |
| 2024-25 | Saginaw Spirit | OHL | 62 | 8 | 26 | 34 | 0.548 | 0.3172 | 0.2996 | 1.4091 | 1.3309 |
| 2025-26 | Saginaw Spirit | OHL | 63 | 8 | 31 | 39 | 0.619 | 0.3581 | 0.3202 | 1.5905 | 1.4222 |
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.