icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Noble & Greenough | NE-Prep-Girls | 29 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2017-18 | Noble & Greenough | NE-Prep-Girls | 31 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2018-19 | Noble & Greenough | NE-Prep-Girls | 32 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2019-20 | Noble & Greenough | NE-Prep-Girls | 33 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Noble & Greenough | NE-Prep-Girls | 30 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | Deerfield | NE-Prep-Girls | 25 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Harvard | D1 | ECAC-W | — | 34 | 3 | 5 | 8 | 0.235 |
| 2024-25 | Harvard | D1 | ECAC-W | — | 28 | 2 | 8 | 10 | 0.357 |
| 2023-24 | Harvard | D1 | ECAC-W | — | 30 | 3 | 4 | 7 | 0.233 |
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.