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 Cities Blades (women) | USHS-MN-W | 25 | 4 | 4 | 8 | 0.320 | 0.0483 | 0.0483 |
| 2020-21 | River Cities Blades (women) | USHS-MN-W | 19 | 4 | 5 | 9 | 0.474 | 0.0715 | 0.0715 |
| 2021-22 | River Cities Blades (women) | USHS-MN-W | 27 | 5 | 17 | 22 | 0.815 | 0.1230 | 0.1230 |
| 2022-23 | River Cities Blades (women) | USHS-MN-W | 26 | 13 | 14 | 27 | 1.038 | 0.1568 | 0.1407 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Gustavus Adolphus | MIAC | JR | 28 | 10 | 8 | 18 | 0.643 |
| 2024-25 | Gustavus Adolphus | MIAC | SO | 28 | 3 | 13 | 16 | 0.571 |
| 2023-24 | Gustavus Adolphus | MIAC | FR | 25 | 4 | 7 | 11 | 0.440 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Izzy Bagi | 19U-AAA-W · 2012-13 · 0.45 PPG | 0.556 | Holy Cross |
| Ebba Strandberg | SDHL · 2012-13 · 0.11 PPG | 0.333 | Maine |
| Kenzie Prater | USHS-MN-W · 2012-13 · 0.83 PPG | 0.432 | Quinnipiac |
| Emma Turbyville | NE-Prep-Girls · 2013-14 · 0.39 PPG | 0.040 | St. Cloud State |
| Mekenzie Steffen | USHS-MN-W · 2012-13 · 1.04 PPG | 0.350 | Wisconsin |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Ella Hansen | 2023-24 · 0.65 PPG | 0.500 | Wisconsin-Eau Claire | WIAC |
| Adrienne Hansen | 2023-24 · 0.70 PPG | 0.481 | Wisconsin-Eau Claire | WIAC |
| Andrea Noss | 2013-14 · 0.52 PPG | 0.667 | SUNY Oswego | SUNYAC |
| Emily Wendorf | 2022-23 · 0.74 PPG | 0.440 | Saint Benedict | MIAC |
| Morgan Mitchell | 2023-24 · 1.07 PPG | 0.304 | St. Scholastica | 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.