| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Burlington Cougars | OJHL | 1 | 2 | 0 | 2 | 2.000 | 0.5588 | 0.6348 | 1.3802 | 1.5679 |
| 2024-25 | Burlington Cougars | OJHL | 53 | 21 | 40 | 61 | 1.151 | 0.3216 | 0.3488 | 0.7942 | 0.8614 |
| 2025-26 | Sherwood Park Crusaders | BCHL | 54 | 24 | 36 | 60 | 1.111 | 0.4324 | 0.4588 | 1.6203 | 1.7191 |
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.