| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Chilliwack Chiefs | BCHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2023-24 | Chilliwack Chiefs | BCHL | 50 | 12 | 9 | 21 | 0.420 | 0.1618 | 0.1831 | 0.6108 | 0.6910 |
| 2024-25 | Tri-City Americans | WHL | 50 | 22 | 24 | 46 | 0.920 | 0.4476 | 0.4698 | 2.2473 | 2.3590 |
| 2025-26 | Tri-City Americans | WHL | 66 | 27 | 38 | 65 | 0.985 | 0.4791 | 0.4807 | 2.4056 | 2.4137 |
| 2026-27 | Victoria Royals | WHL | 4 | 3 | 4 | 7 | 1.750 | 0.8514 | 0.8514 | 4.2747 | 4.2747 |
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.