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 | Luverne High (W) | USHS-MN-W | 24 | 23 | 14 | 37 | 1.542 | 0.2328 | 0.2328 |
| 2018-19 | Luverne High (W) | USHS-MN-W | 24 | 27 | 14 | 41 | 1.708 | 0.2580 | 0.2580 |
| 2019-20 | Luverne High (W) | USHS-MN-W | 25 | 42 | 25 | 67 | 2.680 | 0.4047 | 0.4047 |
| 2020-21 | Luverne High (W) | USHS-MN-W | 21 | 47 | 40 | 87 | 4.143 | 0.6256 | 0.6256 |
| 2021-22 | Luverne High (W) | USHS-MN-W | 28 | 83 | 44 | 127 | 4.536 | 0.6849 | 0.6849 |
| 2022-23 | Luverne High (W) | USHS-MN-W | 29 | 61 | 20 | 81 | 2.793 | 0.4218 | 0.4218 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Minnesota | WCHA-W | JR | 38 | 8 | 13 | 21 | 0.553 |
| 2024-25 | Minnesota | WCHA-W | SO | 36 | 5 | 6 | 11 | 0.306 |
| 2023-24 | Minnesota | WCHA-W | FR | 37 | 5 | 4 | 9 | 0.243 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Lauren Abbenante | NE-Prep-Girls · 2012-13 · 1.30 PPG | 0.607 | Holy Cross |
| Reagan Haley | USHS-MN-W · 2013-14 · 2.80 PPG | 0.108 | Minnesota Duluth |
| Haley Mack | USHS-MN-W · 2013-14 · 2.88 PPG | 0.371 | Bemidji State |
| Dana Rasmussen | USHS-MN-W · 2013-14 · 2.96 PPG | 0.167 | Ohio State |
| Phoebe Staenz | NE-Prep-Girls · 2012-13 · 1.38 PPG | 0.680 | Yale |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Emily Bauer | 2015-16 · 2.04 PPG | 0.500 | Wisconsin-Eau Claire | WIAC |
| Allie Bussey | 2016-17 · 0.96 PPG | 1.062 | St. Scholastica | NCHA |
| Morgan Sauvageau | 2021-22 · 1.96 PPG | 0.520 | Concordia | MIAC |
| Alex Toupal | 2012-13 · 1.56 PPG | 0.652 | Amherst | NESCAC |
| Courtney Bloemke | 2016-17 · 1.84 PPG | 0.552 | 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.