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 | Mounds View High (women) | USHS-MN-W | 25 | 9 | 11 | 20 | 0.800 | 0.1208 | 0.1208 |
| 2020-21 | Mounds View High (women) | USHS-MN-W | 20 | 6 | 6 | 12 | 0.600 | 0.0906 | 0.0906 |
| 2021-22 | Mounds View High (women) | USHS-MN-W | 26 | 12 | 19 | 31 | 1.192 | 0.1800 | 0.1800 |
| 2022-23 | Mounds View/Irondale High | USHS-MN-W | 26 | 9 | 18 | 27 | 1.038 | 0.1568 | 0.1463 |
| 2023-24 | Mounds View/Irondale High | USHS-MN-W | 26 | 24 | 12 | 36 | 1.385 | 0.2091 | 0.1863 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wisconsin-Eau Claire | WIAC | SO | 28 | 5 | 5 | 10 | 0.357 |
| 2024-25 | Wisconsin-Eau Claire | WIAC | FR | 27 | 9 | 6 | 15 | 0.556 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Kiki Radke | USHS-MN-W · 2013-14 · 1.24 PPG | 0.273 | Bemidji State |
| Mac Johnson | USHS-MN-W · 2013-14 · 1.22 PPG | 0.125 | St. Cloud State |
| Joie Phelps | USHS-MN-W · 2013-14 · 1.26 PPG | 0.182 | Cornell |
| Natalie Snodgrass | USHS-MN-W · 2012-13 · 1.20 PPG | 1.000 | UConn |
| Kaylee Druk | USHS-MN-W · 2012-13 · 1.20 PPG | 0.000 | Syracuse |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Kylie Scott | 2022-23 · 1.04 PPG | 0.440 | Gustavus Adolphus | MIAC |
| Avery Engbrecht | 2023-24 · 1.27 PPG | 0.370 | Wisconsin-Stevens Point | WIAC |
| Diana Draayer | 2012-13 · 0.84 PPG | 0.538 | Gustavus Adolphus | MIAC |
| Taylar Meier | 2016-17 · 0.79 PPG | 0.571 | Wisconsin-Eau Claire | WIAC |
| Devyn Gilman | 2016-17 · 0.60 PPG | 0.759 | Elmira | UCHC |
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.