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 | Spring Lake Park (women) | USHS-MN-W | 25 | 3 | 1 | 4 | 0.160 | 0.0257 | 0.0257 | — | — |
| 2012-13 | Spring Lake Park (women) | USHS-MN-W | 25 | 7 | 9 | 16 | 0.640 | 0.1028 | 0.1028 | — | — |
| 2013-14 | Spring Lake Park (women) | USHS-MN-W | 25 | 12 | 15 | 27 | 1.080 | 0.1734 | 0.1734 | — | — |
| 2014-15 | Spring Lake Park (women) | USHS-MN-W | 25 | 8 | 11 | 19 | 0.760 | 0.1221 | 0.1221 | — | — |
| 2015-16 | SLP / Coon Rapids | USHS-MN-W | 25 | 37 | 31 | 68 | 2.720 | 0.4368 | 0.4368 | — | — |
| 2020-21 | Boston Pride | PHF | 7 | 0 | 3 | 3 | 0.429 | — | — | — | — |
| 2021-22 | Minnesota Whitecaps | PHF | 19 | 2 | 9 | 11 | 0.579 | — | — | — | — |
| 2022-23 | Boston Pride | PHF | 7 | 0 | 2 | 2 | 0.286 | — | — | — | — |
| 2023-24 | Boston Pride | PHF | 7 | 0 | 2 | 2 | 0.286 | — | — | — | — |
| 2024-25 | Boston Pride | PHF | 7 | 0 | 2 | 2 | 0.286 | — | — | — | — |
| 2025-26 | Boston Pride | PHF | 7 | 0 | 2 | 2 | 0.286 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Clarkson | D1 | ECAC-W | SR | 37 | 3 | 9 | 12 | 0.324 |
| 2018-19 | Clarkson | D1 | ECAC-W | JR | 40 | 2 | 12 | 14 | 0.350 |
| 2017-18 | Clarkson | D1 | ECAC-W | SO | 40 | 2 | 5 | 7 | 0.175 |
| 2016-17 | Clarkson | D1 | ECAC-W | FR | 41 | 1 | 6 | 7 | 0.171 |
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.