| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Strath Haven High | USHS-W | 13 | 8 | 6 | 14 | 1.077 | 0.3135 | 0.3493 | — | — |
| 2018-19 | Philadelphia Jr Flyers 16U | JWHL-U16 | 23 | 7 | 13 | 20 | 0.870 | 0.1656 | 0.1622 | — | — |
| 2019-20 | The Hill School | USHS-W | 26 | 9 | 10 | 19 | 0.731 | 0.2127 | 0.2127 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Lawrence | D1 | ECAC-W | — | 35 | 4 | 9 | 13 | 0.371 |
| 2024-25 | Cornell | D1 | ECAC-W | SR | 1 | 0 | 0 | 0 | 0.000 |
| 2023-24 | Cornell | D1 | ECAC-W | JR | 26 | 0 | 3 | 3 | 0.115 |
| 2022-23 | Cornell | D1 | ECAC-W | SO | 32 | 0 | 8 | 8 | 0.250 |
| 2021-22 | Cornell | D1 | ECAC-W | FR | 28 | 3 | 1 | 4 | 0.143 |
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.