| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | U.S. National U17 Team | NTDP-U18 | 50 | 0 | 3 | 3 | 0.060 | 0.0446 | 0.0451 | 0.2239 | 0.2265 |
| 2022-23 | — | NTDP-U18 | 56 | 0 | 6 | 6 | 0.107 | 0.0796 | 0.0763 | 0.3996 | 0.3832 |
| 2023-24 | Madison Capitols | USHL | 59 | 0 | 9 | 9 | 0.152 | 0.0900 | 0.0886 | 0.4580 | 0.4507 |
| 2024-25 | Omaha Lancers | USHL | 14 | 0 | 2 | 2 | 0.143 | 0.0843 | 0.0787 | 0.4292 | 0.4005 |
| 2025-26 | Janesville Jets | NAHL | 52 | 6 | 24 | 30 | 0.577 | 0.2120 | 0.1967 | 0.6089 | 0.5650 |
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.