| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Shattuck St. Mary's 16U | USHS-W | 47 | 0 | 8 | 8 | 0.170 | 0.0495 | 0.0543 | — | — |
| 2023-24 | Shattuck St. Mary's 16U | USHS-W | 57 | 19 | 33 | 52 | 0.912 | 0.2656 | 0.2586 | — | — |
| 2024-25 | Shattuck St. Mary's Prep | USHS-W | 46 | 8 | 12 | 20 | 0.435 | 0.1266 | 0.1194 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Boston University | D1 | HEA-W | FR | 27 | 1 | 0 | 1 | 0.037 |
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.