| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Portland Winterhawks | WHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | Portland Winterhawks | WHL | 63 | 3 | 5 | 8 | 0.127 | 0.0618 | 0.0639 | 0.3116 | 0.3221 |
| 2023-24 | Portland Winterhawks | WHL | 45 | 7 | 19 | 26 | 0.578 | 0.2811 | 0.2767 | 1.4177 | 1.3956 |
| 2024-25 | Brandon Wheat Kings | WHL | 52 | 16 | 27 | 43 | 0.827 | 0.4023 | 0.3745 | 2.0290 | 1.8890 |
| 2025-26 | Brandon Wheat Kings | WHL | 68 | 22 | 31 | 53 | 0.779 | 0.3792 | 0.3355 | 1.9124 | 1.6919 |
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.