| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Spokane Chiefs | WHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | Spokane Chiefs | WHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2023-24 | Wenatchee Wild | WHL | 60 | 11 | 13 | 24 | 0.400 | 0.1946 | 0.2048 | 0.9815 | 1.0330 |
| 2024-25 | Wenatchee Wild | WHL | 60 | 22 | 27 | 49 | 0.817 | 0.3973 | 0.3969 | 2.0039 | 2.0020 |
| 2025-26 | Wenatchee Wild | WHL | 62 | 23 | 19 | 42 | 0.677 | 0.3296 | 0.3140 | 1.6621 | 1.5835 |
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.