| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Wenatchee Wild | WHL | 15 | 1 | 2 | 3 | 0.200 | 0.0973 | 0.1140 | 0.4907 | 0.5750 |
| 2022-23 | Wenatchee Wild | WHL | 63 | 2 | 19 | 21 | 0.333 | 0.1622 | 0.1825 | 0.8178 | 0.9201 |
| 2023-24 | Wenatchee Wild | WHL | 68 | 8 | 26 | 34 | 0.500 | 0.2432 | 0.2616 | 1.2268 | 1.3199 |
| 2024-25 | Medicine Hat Tigers | WHL | 57 | 11 | 32 | 43 | 0.754 | 0.3670 | 0.3752 | 1.8511 | 1.8927 |
| 2025-26 | Medicine Hat Tigers | WHL | 56 | 29 | 57 | 86 | 1.536 | 0.7471 | 0.7293 | 3.7681 | 3.6781 |
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.