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 | Woodbury High (women) | USHS-MN-W | 22 | 1 | 1 | 2 | 0.091 | 0.0137 | 0.0137 |
| 2019-20 | Woodbury High (women) | USHS-MN-W | 25 | 3 | 2 | 5 | 0.200 | 0.0302 | 0.0302 |
| 2020-21 | Woodbury High (women) | USHS-MN-W | 20 | 0 | 5 | 5 | 0.250 | 0.0377 | 0.0377 |
| 2021-22 | Woodbury High (women) | USHS-MN-W | 25 | 4 | 4 | 8 | 0.320 | 0.0483 | 0.0483 |
| 2022-23 | Woodbury High (women) | USHS-MN-W | 26 | 2 | 4 | 6 | 0.231 | 0.0349 | 0.0309 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2024-25 | St. Norbert | NCHA | SO | 30 | 0 | 2 | 2 | 0.067 |
| 2023-24 | St. Norbert | NCHA | FR | 28 | 1 | 4 | 5 | 0.179 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Heather Olson | USHS-MN-W · 2012-13 · 0.21 PPG | 0.143 | Bemidji State |
| Xylia Lang | USHS-MN-W · 2012-13 · 0.20 PPG | 0.091 | Lindenwood |
| Rachel Herzog | USHS-MN-W · 2012-13 · 0.20 PPG | 0.056 | St. Cloud State |
| Katie Carlson | USHS-MN-W · 2012-13 · 0.18 PPG | 0.000 | RIT |
| Paige Michel | NE-Prep-Girls · 2012-13 · 0.11 PPG | 0.348 | UConn |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Alexis Larsen | 2024-25 · 0.83 PPG | 0.083 | Wisconsin-River Falls | WIAC |
| Halle Dunleavy | 2022-23 · 0.26 PPG | 0.286 | St. Catherine | MIAC |
| Hannah Peterson | 2024-25 · 0.59 PPG | 0.130 | Hamline | MIAC |
| Astrid Wilbur | 2023-24 · 0.23 PPG | 0.292 | Hood College | UCHC |
| Jenna Fryar | 2022-23 · 0.19 PPG | — | Lake Forest | NCHA |
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.