| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Philadelphia Jr Flyers 19U | 19U-AAA-W | 36 | 7 | 9 | 16 | 0.444 | 0.1535 | 0.1535 | — | — |
| 2023-24 | Shattuck St. Mary's Prep | USHS-W | 54 | 6 | 11 | 17 | 0.315 | 0.0916 | 0.0916 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Union | D1 | ECAC-W | — | 29 | 0 | 4 | 4 | 0.138 |
| 2024-25 | Union | D1 | ECAC-W | — | 29 | 0 | 1 | 1 | 0.035 |
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.