| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Everett Silvertips | WHL | 54 | 4 | 4 | 8 | 0.148 | 0.0721 | 0.0742 | 0.3629 | 0.3735 |
| 2022-23 | Everett Silvertips | WHL | 47 | 8 | 10 | 18 | 0.383 | 0.1863 | 0.1830 | 0.9385 | 0.9220 |
| 2023-24 | Everett Silvertips | WHL | 66 | 17 | 15 | 32 | 0.485 | 0.2359 | 0.2201 | 1.1879 | 1.1086 |
| 2024-25 | Kamloops Blazers | WHL | 62 | 10 | 6 | 16 | 0.258 | 0.1256 | 0.1105 | 0.6324 | 0.5564 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Alaska Fairbanks | D1 | WCHA | FR | 7 | 1 | 0 | 1 | 0.143 |
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.