| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Surrey Eagles | BCHL | 1 | 0 | 1 | 1 | 1.000 | 0.3853 | 0.4106 | 1.4553 | 1.5510 |
| 2023-24 | Surrey Eagles | BCHL | 46 | 4 | 8 | 12 | 0.261 | 0.1005 | 0.1025 | 0.3797 | 0.3873 |
| 2024-25 | Surrey Eagles | BCHL | 21 | 7 | 9 | 16 | 0.762 | 0.2936 | 0.2847 | 1.1088 | 1.0751 |
| 2025-26 | Wenatchee Wild | WHL | 45 | 5 | 11 | 16 | 0.356 | 0.1730 | 0.1543 | 0.8725 | 0.7782 |
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.