| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Mounds View | USHS-MN | 22 | 0 | 9 | 9 | 0.409 | 0.0518 | 0.0518 | 0.0994 | 0.0994 |
| 2022-23 | Mounds View | USHS-MN | 25 | 16 | 18 | 34 | 1.360 | 0.1722 | 0.1722 | 0.3303 | 0.3303 |
| 2023-24 | Mounds View | USHS-MN | 26 | 8 | 20 | 28 | 1.077 | 0.1363 | 0.1363 | 0.2616 | 0.2616 |
| 2024-25 | Chippewa Steel | NAHL | 56 | 3 | 3 | 6 | 0.107 | 0.0393 | 0.0427 | 0.1130 | 0.1229 |
| 2025-26 | — | NAHL | 47 | 11 | 31 | 42 | 0.894 | 0.3283 | 0.3409 | 0.9432 | 0.9794 |
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.