| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Cranbrook Bucks | BCHL | 43 | 11 | 21 | 32 | 0.744 | 0.2867 | 0.3245 | 1.0830 | 1.2260 |
| 2022-23 | Cranbrook Bucks | BCHL | 45 | 8 | 9 | 17 | 0.378 | 0.1456 | 0.1577 | 0.5498 | 0.5954 |
| 2023-24 | — | BCHL | 56 | 14 | 19 | 33 | 0.589 | 0.2271 | 0.2355 | 0.8576 | 0.8895 |
| 2024-25 | Langley Rivermen | BCHL | 22 | 10 | 5 | 15 | 0.682 | 0.2627 | 0.2593 | 0.9922 | 0.9792 |
| 2025-26 | Coquitlam Express | BCHL | 48 | 10 | 32 | 42 | 0.875 | 0.3371 | 0.3203 | 1.2734 | 1.2099 |
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.