| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Seattle Thunderbirds | WHL | 11 | 2 | 1 | 3 | 0.273 | 0.1327 | 0.1477 | 0.6691 | 0.7445 |
| 2022-23 | Seattle Thunderbirds | WHL | 58 | 4 | 6 | 10 | 0.172 | 0.0839 | 0.0894 | 0.4230 | 0.4509 |
| 2023-24 | Seattle Thunderbirds | WHL | 37 | 8 | 12 | 20 | 0.540 | 0.2630 | 0.2674 | 1.3262 | 1.3484 |
| 2024-25 | Seattle Thunderbirds | WHL | 67 | 26 | 29 | 55 | 0.821 | 0.3994 | 0.3847 | 2.0142 | 1.9403 |
| 2025-26 | Seattle Thunderbirds | WHL | 62 | 25 | 30 | 55 | 0.887 | 0.4316 | 0.3958 | 2.1767 | 1.9961 |
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.