| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Notre Dame Academy (Wis.) | USHS-MN | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2023-24 | — | NTDP-U18 | 54 | 3 | 15 | 18 | 0.333 | 0.2584 | 0.2616 | 1.2405 | 1.2560 |
| 2024-25 | U.S. National U18 Team | NTDP-U18 | 66 | 9 | 28 | 37 | 0.561 | 0.4347 | 0.4197 | 2.0865 | 2.0144 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Michigan | D1 | BigTen | FR | 38 | 1 | 9 | 10 | 0.263 |
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.