| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Chaska | USHS-MN | 28 | 7 | 11 | 18 | 0.643 | 0.0814 | 0.0814 | 0.1562 | 0.1562 |
| 2023-24 | Muskegon Lumberjacks | USHL | 11 | 0 | 4 | 4 | 0.364 | 0.2145 | 0.2357 | 1.0920 | 1.1999 |
| 2024-25 | Sioux Falls Stampede | USHL | 52 | 14 | 18 | 32 | 0.615 | 0.3630 | 0.3804 | 1.8483 | 1.9367 |
| 2025-26 | Portland Winterhawks | WHL | 68 | 10 | 25 | 35 | 0.515 | 0.2504 | 0.2496 | 1.2629 | 1.2591 |
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.