icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Noble & Greenough | NE-Prep-Girls | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2012-13 | Noble & Greenough | NE-Prep-Girls | 28 | 0 | 1 | 1 | 0.040 | 0.0184 | 0.0184 | — | — |
| 2013-14 | Noble & Greenough | NE-Prep-Girls | 30 | 2 | 0 | 2 | 0.070 | 0.0322 | 0.0322 | — | — |
| 2014-15 | Noble & Greenough | NE-Prep-Girls | 24 | 2 | 3 | 5 | 0.210 | 0.0966 | 0.0966 | — | — |
| 2015-16 | Noble & Greenough | NE-Prep-Girls | 33 | 1 | 1 | 2 | 0.060 | 0.0276 | 0.0276 | — | — |
| 2016-17 | Noble & Greenough | NE-Prep-Girls | 29 | 1 | 1 | 2 | 0.070 | 0.0322 | 0.0322 | — | — |
| 2022-23 | Boston Pride | PHF | 11 | 1 | 5 | 6 | 0.545 | — | — | — | — |
| 2023-24 | Boston Pride | PHF | 11 | 1 | 5 | 6 | 0.545 | — | — | — | — |
| 2024-25 | Boston Pride | PHF | 11 | 1 | 5 | 6 | 0.545 | — | — | — | — |
| 2025-26 | Boston Pride | PHF | 11 | 1 | 5 | 6 | 0.545 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Harvard | D1 | ECAC-W | SR | 32 | 19 | 26 | 45 | 1.406 |
| 2020-21 | Harvard | D1 | ECAC-W | JR | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Harvard | D1 | ECAC-W | SO | 33 | 10 | 14 | 24 | 0.727 |
| 2018-19 | Harvard | D1 | ECAC-W | FR | 26 | 6 | 15 | 21 | 0.808 |
| 2017-18 | Harvard | D1 | ECAC-W | FR | 30 | 16 | 19 | 35 | 1.167 |
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.