| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Burlington Cougars | OJHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2023-24 | Bonnyville Pontiacs | AJHL | 51 | 10 | 25 | 35 | 0.686 | 0.2302 | 0.2401 | 0.6351 | 0.6623 |
| 2024-25 | — | BCHL | 51 | 6 | 22 | 28 | 0.549 | 0.2115 | 0.2104 | 0.7990 | 0.7947 |
| 2025-26 | Cowichan Valley Capitals | BCHL | 47 | 24 | 37 | 61 | 1.298 | 0.5001 | 0.4791 | 1.8888 | 1.8093 |
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.