| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | — | NTDP-U18 | 54 | 11 | 8 | 19 | 0.352 | 0.2729 | 0.2757 | 1.3097 | 1.3233 |
| 2024-25 | U.S. National U18 Team | NTDP-U18 | 28 | 8 | 6 | 14 | 0.500 | 0.3877 | 0.3735 | 1.8610 | 1.7929 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Michigan | D1 | BigTen | — | 18 | 4 | 6 | 10 | 0.556 |
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.