| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Alberni Valley Bulldogs | BCHL | 40 | 4 | 11 | 15 | 0.375 | 0.1445 | 0.1612 | 0.5454 | 0.6084 |
| 2024-25 | Alberni Valley Bulldogs | BCHL | 50 | 10 | 11 | 21 | 0.420 | 0.1618 | 0.1723 | 0.6108 | 0.6506 |
| 2025-26 | Alberni Valley Bulldogs | BCHL | 54 | 12 | 17 | 29 | 0.537 | 0.2069 | 0.2128 | 0.7810 | 0.8032 |
| 2026-27 | Moncton Wildcats | QMJHL | 7 | 1 | 2 | 3 | 0.429 | 0.2106 | 0.2106 | 1.1442 | 1.1442 |
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.