| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Philadelphia Jr Flyers 16U | JWHL-U16 | 20 | 8 | 10 | 18 | 0.900 | 0.1714 | 0.1714 | — | — |
| 2019-20 | Philadelphia Jr Flyers 16U | JWHL-U16 | 28 | 19 | 17 | 36 | 1.286 | 0.2448 | 0.2448 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Cornell | D1 | ECAC-W | SR | 33 | 6 | 14 | 20 | 0.606 |
| 2024-25 | Cornell | D1 | ECAC-W | JR | 35 | 3 | 15 | 18 | 0.514 |
| 2023-24 | Cornell | D1 | ECAC-W | SO | 34 | 8 | 16 | 24 | 0.706 |
| 2022-23 | Cornell | D1 | ECAC-W | FR | 32 | 1 | 13 | 14 | 0.438 |
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.