| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Everett Silvertips | WHL | 5 | 0 | 1 | 1 | 0.200 | 0.0972 | 0.1145 | 0.4882 | 0.5749 |
| 2023-24 | Everett Silvertips | WHL | 40 | 2 | 10 | 12 | 0.300 | 0.1459 | 0.1646 | 0.7322 | 0.8261 |
| 2024-25 | — | WHL | 64 | 12 | 32 | 44 | 0.688 | 0.3343 | 0.3593 | 1.6780 | 1.8036 |
| 2025-26 | — | WHL | 68 | 38 | 40 | 78 | 1.147 | 0.5577 | 0.5736 | 2.7998 | 2.8798 |
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.