icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Governor's | NE-Prep-Girls | 28 | 4 | 4 | 8 | 0.290 | 0.1334 | 0.1334 | — | — |
| 2016-17 | Boston Pride | PHF | 17 | 9 | 20 | 29 | 1.706 | — | — | — | — |
| 2018-19 | KRS Shenzhen | CWHL | 28 | 17 | 14 | 31 | 1.107 | — | — | — | — |
| 2019-20 | KRS Shenzhen | CWHL | 28 | 17 | 14 | 31 | 1.107 | — | — | — | — |
| 2020-21 | KRS Shenzhen | CWHL | 28 | 17 | 14 | 31 | 1.107 | — | — | — | — |
| 2021-22 | KRS Shenzhen | CWHL | 28 | 17 | 14 | 31 | 1.107 | — | — | — | — |
| 2022-23 | KRS Shenzhen | CWHL | 28 | 17 | 14 | 31 | 1.107 | — | — | — | — |
| 2023-24 | KRS Shenzhen | CWHL | 28 | 17 | 14 | 31 | 1.107 | — | — | — | — |
| 2024-25 | New York Sirens | PWHL | 26 | 11 | 9 | 20 | 0.769 | — | — | — | — |
| 2025-26 | Seattle Torrent | PWHL | 30 | 12 | 8 | 20 | 0.667 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Boston College | D1 | HEA-W | SR | 41 | 43 | 45 | 88 | 2.146 |
| 2014-15 | Boston College | D1 | HEA-W | JR | 37 | 37 | 44 | 81 | 2.189 |
| 2012-13 | Boston College | D1 | HEA-W | SO | 36 | 32 | 38 | 70 | 1.944 |
| 2011-12 | Boston College | D1 | HEA-W | FR | 34 | 21 | 17 | 38 | 1.118 |
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.