| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Wenatchee Wild | BCHL | 44 | 4 | 2 | 6 | 0.136 | 0.0526 | 0.0556 | 0.1984 | 0.2097 |
| 2023-24 | — | NAHL | 50 | 9 | 16 | 25 | 0.500 | 0.1837 | 0.1893 | 0.5284 | 0.5446 |
| 2024-25 | Wisconsin Windigo | NAHL | 54 | 15 | 21 | 36 | 0.667 | 0.2449 | 0.2395 | 0.7046 | 0.6892 |
| 2025-26 | Wisconsin Windigo | NAHL | 59 | 17 | 30 | 47 | 0.797 | 0.2927 | 0.2719 | 0.8419 | 0.7820 |
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.