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 |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Delano/Rockford High (women) | USHS-MN-W | 19 | 1 | 2 | 3 | 0.158 | 0.0238 | 0.0238 |
| 2021-22 | Delano/Rockford High (women) | USHS-MN-W | 27 | 7 | 9 | 16 | 0.593 | 0.0895 | 0.0895 |
| 2022-23 | Delano/Rockford High (women) | USHS-MN-W | 26 | 12 | 12 | 24 | 0.923 | 0.1394 | 0.1410 |
| 2023-24 | Delano/Rockford High (women) | USHS-MN-W | 27 | 13 | 19 | 32 | 1.185 | 0.1790 | 0.1735 |
| 2024-25 | Delano/Rockford High (women) | USHS-MN-W | 26 | 21 | 33 | 54 | 2.077 | 0.3136 | 0.2920 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Gustavus Adolphus | MIAC | FR | 24 | 2 | 2 | 4 | 0.167 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Lindsay Roethke | USHS-MN-W · 2012-13 · 1.96 PPG | 0.027 | UConn |
| Nina Rodgers | USHS-MN-W · 2013-14 · 2.08 PPG | 0.225 | Minnesota |
| Liz Schepers | USHS-MN-W · 2013-14 · 1.84 PPG | 0.410 | Ohio State |
| Emily Bergland | USHS-MN-W · 2013-14 · 2.04 PPG | 0.114 | Bemidji State |
| Catherine Skaja | USHS-MN-W · 2012-13 · 2.08 PPG | 0.342 | Minnesota |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Madison Kadrlik | 2022-23 · 1.08 PPG | 0.643 | Wisconsin-River Falls | WIAC |
| Kaiya Sandy | 2024-25 · 1.27 PPG | 0.571 | Hamline | MIAC |
| Sophie Martin | 2024-25 · 1.12 PPG | 0.667 | Bethel | MIAC |
| Molly Pohlkamp | 2022-23 · 0.78 PPG | 0.920 | Wisconsin-Stevens Point | WIAC |
| Ashley Wagenbach | 2023-24 · 1.19 PPG | 0.636 | 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.