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 |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Eastview High (women) | USHS-MN-W | 23 | 1 | 0 | 1 | 0.043 | 0.0066 | 0.0066 |
| 2018-19 | Eastview High (women) | USHS-MN-W | 21 | 6 | 3 | 9 | 0.429 | 0.0647 | 0.0647 |
| 2019-20 | Eastview High (women) | USHS-MN-W | 25 | 6 | 3 | 9 | 0.360 | 0.0544 | 0.0544 |
| 2020-21 | Eastview High (women) | USHS-MN-W | 23 | 4 | 5 | 9 | 0.391 | 0.0591 | 0.0591 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2024-25 | Bethel | MIAC | SR | 25 | 10 | 4 | 14 | 0.560 |
| 2023-24 | Bethel | MIAC | JR | 27 | 8 | 6 | 14 | 0.518 |
| 2022-23 | Bethel | MIAC | SO | 24 | 5 | 4 | 9 | 0.375 |
| 2021-22 | Bethel | MIAC | FR | 17 | 1 | 1 | 2 | 0.118 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Rose Rather | NE-Prep-Girls · 2012-13 · 0.20 PPG | 0.824 | Holy Cross |
| Sierra Smith | USHS-MN-W · 2012-13 · 0.40 PPG | 0.000 | Minnesota |
| Taylor Heise | USHS-MN-W · 2012-13 · 0.36 PPG | 0.897 | Minnesota |
| Mallorie Iozzo | USHS-MN-W · 2012-13 · 0.50 PPG | 0.069 | Minnesota Duluth |
| Laura Anderson | USHS-MN-W · 2012-13 · 0.34 PPG | 0.290 | Yale |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Nora McConnell | 2023-24 · 0.39 PPG | 0.385 | St. Olaf | MIAC |
| Cassidy Yaun | 2022-23 · 0.39 PPG | — | Trinity | NESCAC |
| Emma Halweg | 2022-23 · 0.36 PPG | — | Saint Benedict | MIAC |
| Ava Johansson | 2022-23 · 1.23 PPG | 0.130 | Wisconsin-Eau Claire | WIAC |
| Lauren Hornstein | 2024-25 · 0.40 PPG | — | Hamline | MIAC |
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.