| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | St. Marks | NE-Prep | 23 | 15 | 24 | 39 | 1.696 | 0.4784 | 0.4784 | 0.7760 | 0.7760 |
| 2022-23 | St. Marks | NE-Prep | 17 | 12 | 19 | 31 | 1.823 | 0.5144 | 0.5144 | 0.8344 | 0.8344 |
| 2023-24 | — | NTDP-U18 | 40 | 3 | 12 | 15 | 0.375 | 0.2908 | 0.2994 | 1.3957 | 1.4370 |
| 2024-25 | U.S. National U18 Team | NTDP-U18 | 66 | 29 | 24 | 53 | 0.803 | 0.6226 | 0.6117 | 2.9887 | 2.9366 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Harvard | D1 | ECAC | FR | 34 | 8 | 10 | 18 | 0.529 |
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.