| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Maple Grove | USHS-MN | 26 | 4 | 9 | 13 | 0.500 | 0.0633 | 0.0633 | 0.1215 | 0.1215 |
| 2024-25 | U.S. National U17 Team | NTDP-U18 | 43 | 1 | 13 | 14 | 0.326 | 0.2420 | 0.2462 | 1.2149 | 1.2359 |
| 2025-26 | U.S. National U18 Team | NTDP-U18 | 62 | 5 | 10 | 15 | 0.242 | 0.1798 | 0.1731 | 0.9026 | 0.8688 |
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.