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 | Elk River/Zimmerman (women) | USHS-MN-W | 24 | 0 | 2 | 2 | 0.083 | 0.0126 | 0.0126 |
| 2020-21 | Elk River/Zimmerman (women) | USHS-MN-W | 19 | 1 | 11 | 12 | 0.632 | 0.0954 | 0.0954 |
| 2021-22 | Elk River/Zimmerman (women) | USHS-MN-W | 28 | 7 | 9 | 16 | 0.571 | 0.0863 | 0.0863 |
| 2022-23 | — | 16U-AAA-W | 9 | 1 | 1 | 2 | 0.222 | 0.0794 | 0.0794 |
| 2023-24 | Proctor/Hermantown High (W) | USHS-MN-W | 31 | 7 | 19 | 26 | 0.839 | 0.1266 | 0.1266 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Sacred Heart | NEWHA | SO | 35 | 5 | 4 | 9 | 0.257 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Danielle Marmer | NE-Prep-Girls · 2012-13 · 0.39 PPG | 0.000 | Quinnipiac |
| Holly Dietzler | USHS-MN-W · 2012-13 · 0.84 PPG | 0.108 | Lindenwood |
| Jessica Bonfe | USHS-MN-W · 2012-13 · 0.84 PPG | 0.206 | Merrimack |
| Kylie Hanley | USHS-MN-W · 2012-13 · 0.84 PPG | 0.143 | Minnesota Duluth |
| Suvi Ollikainen | SMLIIGA-W · 2012-13 · 0.32 PPG | 0.151 | St. Cloud State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Abby Reule | 2022-23 · 0.69 PPG | 0.450 | Concordia | MIAC |
| Harper Poehling | 2024-25 · 1.13 PPG | 0.263 | Wisconsin-Eau Claire | WIAC |
| Jana Lesch | 2023-24 · 1.44 PPG | 0.222 | Wisconsin-Eau Claire | WIAC |
| Dani Weiland | 2024-25 · 0.96 PPG | 0.300 | Wisconsin-Stevens Point | WIAC |
| Sam Mugge | 2015-16 · 0.80 PPG | — | Wisconsin-Superior | 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.