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 |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | River Lakes High (W) | USHS-MN-W | 25 | 4 | 1 | 5 | 0.200 | 0.0302 | 0.0302 |
| 2020-21 | River Lakes High (W) | USHS-MN-W | 21 | 1 | 3 | 4 | 0.191 | 0.0288 | 0.0288 |
| 2021-22 | River Lakes High (W) | USHS-MN-W | 31 | 10 | 6 | 16 | 0.516 | 0.0779 | 0.0779 |
| 2022-23 | River Lakes High (W) | USHS-MN-W | 28 | 11 | 10 | 21 | 0.750 | 0.1132 | 0.1059 |
| 2023-24 | River Lakes High (W) | USHS-MN-W | 27 | 9 | 7 | 16 | 0.593 | 0.0895 | 0.0800 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2024-25 | St. Catherine | MIAC | FR | 25 | 2 | 7 | 9 | 0.360 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Lauren Boyle | USHS-MN-W · 2012-13 · 0.52 PPG | 0.486 | Ohio State |
| Brittney Anderson | USHS-MN-W · 2012-13 · 0.52 PPG | 0.571 | St. Cloud State |
| Kate Rydland | USHS-MN-W · 2012-13 · 0.54 PPG | 0.161 | Penn State |
| Mckenzie Revering | USHS-MN-W · 2012-13 · 0.56 PPG | 0.059 | Minnesota Duluth |
| McKenna Wesloh | USHS-MN-W · 2012-13 · 0.56 PPG | 0.273 | Ohio State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Ella Thoreson | 2024-25 · 0.39 PPG | 0.500 | Wisconsin-Eau Claire | WIAC |
| Autumn Burt | 2023-24 · 0.50 PPG | — | St. Catherine | MIAC |
| Kayson Ruegge | 2022-23 · 0.38 PPG | 0.500 | SUNY Plattsburgh | SUNYAC |
| Jenna Horvat | 2022-23 · 0.50 PPG | — | St. Scholastica | NCHA |
| Eva Nelson | 2023-24 · 0.52 PPG | 0.393 | Gustavus Adolphus | MIAC |
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.