| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Hermantown | USHS-MN | 31 | 22 | 40 | 62 | 2.000 | 0.2532 | 0.2532 | 0.4858 | 0.4858 |
| 2022-23 | Bismarck Bobcats | NAHL | 9 | 0 | 3 | 3 | 0.333 | 0.1225 | 0.1345 | 0.3518 | 0.3863 |
| 2023-24 | Bismarck Bobcats | NAHL | 60 | 20 | 29 | 49 | 0.817 | 0.3001 | 0.3152 | 0.8620 | 0.9054 |
| 2024-25 | Lincoln Stars | USHL | 60 | 8 | 22 | 30 | 0.500 | 0.2949 | 0.2813 | 1.5017 | 1.4323 |
| 2025-26 | Lincoln Stars | USHL | 62 | 21 | 33 | 54 | 0.871 | 0.5138 | 0.4652 | 2.6160 | 2.3688 |
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.