icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Andover | NE-Prep-Girls | 20 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2018-19 | Andover | NE-Prep-Girls | 24 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2025-26 | New York Sirens | PWHL | 29 | 4 | 2 | 6 | 0.207 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Yale | D1 | ECAC-W | SR | 32 | 13 | 10 | 23 | 0.719 |
| 2023-24 | Yale | D1 | ECAC-W | JR | 32 | 12 | 8 | 20 | 0.625 |
| 2022-23 | Yale | D1 | ECAC-W | SO | 33 | 17 | 17 | 34 | 1.030 |
| 2021-22 | Yale | D1 | ECAC-W | FR | 36 | 11 | 12 | 23 | 0.639 |
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.