| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Minnetonka | USHS-MN | 26 | 4 | 5 | 9 | 0.346 | 0.0438 | 0.0438 | 0.0841 | 0.0841 |
| 2022-23 | Minnetonka | USHS-MN | 31 | 14 | 22 | 36 | 1.161 | 0.1470 | 0.1470 | 0.2821 | 0.2821 |
| 2023-24 | Sioux Falls Stampede | USHL | 11 | 0 | 1 | 1 | 0.091 | 0.0536 | 0.0574 | 0.2730 | 0.2925 |
| 2024-25 | Sioux Falls Stampede | USHL | 58 | 14 | 25 | 39 | 0.672 | 0.3966 | 0.4048 | 2.0195 | 2.0611 |
| 2025-26 | Sioux City Musketeers | USHL | 49 | 17 | 25 | 42 | 0.857 | 0.5056 | 0.4916 | 2.5742 | 2.5029 |
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.