| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Whitecourt Wolverines | AJHL | 50 | 14 | 18 | 32 | 0.640 | 0.2147 | 0.2267 | 0.5923 | 0.6255 |
| 2024-25 | Whitecourt Wolverines | AJHL | 52 | 25 | 30 | 55 | 1.058 | 0.3548 | 0.3558 | 0.9788 | 0.9817 |
| 2025-26 | Whitecourt Wolverines | AJHL | 53 | 46 | 41 | 87 | 1.641 | 0.5506 | 0.5216 | 1.5190 | 1.4390 |
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.