Based on 1 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 | Okanagan HA U18 Prep | CSSHL-U18W | 23 | 25 | 14 | 39 | 1.696 | 0.3885 | 0.3885 |
| 2019-20 | Pursuit of Excellence | CSSHL-U18W | 10 | 12 | 2 | 14 | 1.400 | 0.3207 | 0.3207 |
| 2020-21 | RINK HA Kelowna U18 Prep | CSSHL-U18W | 2 | 3 | 0 | 3 | 1.500 | 0.3437 | 0.3437 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Minnesota | WCHA-W | SR | 8 | 3 | 5 | 8 | 1.000 |
| 2024-25 | Princeton | ECAC-W | JR | 31 | 28 | 8 | 36 | 1.161 |
| 2023-24 | Princeton | ECAC-W | SO | 32 | 16 | 7 | 23 | 0.719 |
| 2021-22 | Princeton | ECAC-W | FR | 7 | 2 | 3 | 5 | 0.714 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Dana Rasmussen | USHS-MN-W · 2012-13 · 2.62 PPG | 0.167 | Ohio State |
| Katie Rooney | USHS-MN-W · 2012-13 · 2.52 PPG | 0.219 | RPI |
| Darby Dodds | USHS-MN-W · 2013-14 · 2.52 PPG | 0.000 | Lindenwood |
| Corbin Boyd | USHS-MN-W · 2013-14 · 2.42 PPG | 0.269 | Minnesota State |
| Lauren Hespenheide | USHS-MN-W · 2012-13 · 2.40 PPG | 0.257 | St. Cloud State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Ashlyn Abrahamson | 2021-22 · 1.35 PPG | 0.923 | Hamline | MIAC |
| Erica Power | 2012-13 · 1.21 PPG | 1.038 | Gustavus Adolphus | MIAC |
| Madi Nolan | 2015-16 · 1.52 PPG | 0.826 | Wisconsin-River Falls | WIAC |
| Courtney Wittig | 2012-13 · 1.83 PPG | 0.692 | Wisconsin-Eau Claire | WIAC |
| Jordan Hansen | 2015-16 · 1.16 PPG | 1.067 | Hamline | 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.