Based on 40 comparable players
Most women's college players come directly from high school hockey. Junior or HS season stats below (when available on Elite Prospects).
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-W PPG | Age-Adjusted |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Shattuck St. Mary's 16U | NE-Prep-Girls | 59 | 3 | 8 | 11 | 0.186 | 0.0605 | 0.0631 |
| 2019-20 | Shattuck St. Mary's Prep | NE-Prep-Girls | 50 | 10 | 9 | 19 | 0.380 | 0.1234 | 0.1234 |
| 2020-21 | Shattuck St. Mary's Prep | NE-Prep-Girls | 45 | 7 | 15 | 22 | 0.489 | 0.1588 | 0.1588 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2024-25 | St. Michael's College | NEWHA | JR | 36 | 1 | 3 | 4 | 0.111 |
| 2023-24 | St. Michael's College | NEWHA | SO | 34 | 3 | 6 | 9 | 0.265 |
| 2022-23 | St. Michael's College | NEWHA | FR | 30 | 1 | 8 | 9 | 0.300 |
| 2021-22 | St. Michael's College | NEWHA | FR | 22 | 3 | 4 | 7 | 0.318 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Rose Rather | NE-Prep-Girls · 2012-13 · 0.20 PPG | 0.824 | Holy Cross |
| Sierra Smith | USHS-MN-W · 2012-13 · 0.40 PPG | 0.000 | Minnesota |
| Taylor Heise | USHS-MN-W · 2012-13 · 0.36 PPG | 0.897 | Minnesota |
| Laura Anderson | USHS-MN-W · 2012-13 · 0.34 PPG | 0.290 | Yale |
| Mallorie Iozzo | USHS-MN-W · 2012-13 · 0.50 PPG | 0.069 | Minnesota Duluth |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Erika McDonald | 2014-15 · 0.32 PPG | — | Adrian | NCHA |
| Sophie LaColla | 2022-23 · 0.24 PPG | 0.567 | Adrian | NCHA |
| Darby Marshall | 2024-25 · 0.23 PPG | 0.577 | Curry | CNE |
| Sydney Smith | 2012-13 · 0.32 PPG | 0.444 | Adrian | NCHA |
| Harper Poehling | 2022-23 · 0.54 PPG | 0.263 | Wisconsin-Eau Claire | WIAC |
Women's college hockey projections draw primarily on high school and junior stats when available. Because most women go directly from HS to college, projections with limited pre-college data use conference-based priors.
NCAAe-W factors are derived from historical pre-college→NCAA-W transitions. For many players, projection confidence is lower than men's due to sparse pre-college tracking.