| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Philadelphia Jr Flyers 16U | JWHL-U16 | 22 | 1 | 11 | 12 | 0.545 | 0.1039 | 0.1039 | — | — |
| 2022-23 | Philadelphia Jr Flyers 19U | 19U-AAA-W | 74 | 21 | 34 | 55 | 0.743 | 0.2568 | 0.2568 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Robert Morris | D1 | CHA-W | — | 36 | 2 | 14 | 16 | 0.444 |
| 2024-25 | Robert Morris | D1 | CHA-W | — | 30 | 3 | 8 | 11 | 0.367 |
| 2023-24 | Robert Morris | D1 | CHA-W | — | 35 | 3 | 9 | 12 | 0.343 |
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.