| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | New York Sirens | PWHL | 30 | 9 | 15 | 24 | 0.800 | — | — | — | — |
| 2025-26 | — | PWHL | 30 | 14 | 9 | 23 | 0.767 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Colgate | D1 | ECAC-W | SR | 38 | 30 | 24 | 54 | 1.421 |
| 2017-18 | Colgate | D1 | ECAC-W | JR | 41 | 22 | 23 | 45 | 1.098 |
| 2016-17 | Colgate | D1 | ECAC-W | SO | 36 | 13 | 24 | 37 | 1.028 |
| 2015-16 | Colgate | D1 | ECAC-W | FR | 38 | 9 | 18 | 27 | 0.711 |
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.