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 | Stillwater High (women) | USHS-MN-W | 25 | 15 | 18 | 33 | 1.320 | 0.1993 | 0.1993 |
| 2020-21 | Stillwater High (women) | USHS-MN-W | 23 | 20 | 26 | 46 | 2.000 | 0.3020 | 0.3020 |
| 2021-22 | Stillwater High (women) | USHS-MN-W | 27 | 28 | 19 | 47 | 1.741 | 0.2628 | 0.2628 |
| 2022-23 | — | 16U-AAA-W | 5 | 1 | 2 | 3 | 0.600 | 0.2143 | 0.2143 |
| 2023-24 | Stillwater High (women) | USHS-MN-W | 23 | 26 | 39 | 65 | 2.826 | 0.4267 | 0.3935 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Minnesota Duluth | WCHA-W | SO | 38 | 4 | 10 | 14 | 0.368 |
| 2024-25 | Ohio State | WCHA-W | FR | 32 | 5 | 5 | 10 | 0.312 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Dana Rasmussen | USHS-MN-W · 2012-13 · 2.62 PPG | 0.167 | Ohio State |
| Katie Rooney | USHS-MN-W · 2012-13 · 2.52 PPG | 0.219 | RPI |
| Darby Dodds | USHS-MN-W · 2013-14 · 2.52 PPG | 0.000 | Lindenwood |
| Corbin Boyd | USHS-MN-W · 2013-14 · 2.42 PPG | 0.269 | Minnesota State |
| Lauren Abbenante | NE-Prep-Girls · 2012-13 · 1.30 PPG | 0.607 | Holy Cross |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Mikayla Goodin | 2013-14 · 1.42 PPG | 0.667 | Wisconsin-Superior | WIAC |
| Kaitlyn VanTassel | 2012-13 · 1.32 PPG | 0.720 | Bethel | MIAC |
| Hailey Adair | 2011-12 · 1.52 PPG | 0.630 | Wisconsin-Superior | WIAC |
| Bella Mardesich | 2023-24 · 1.44 PPG | 0.667 | Curry | NEHC |
| Emma Peterson | 2016-17 · 1.74 PPG | 0.552 | 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.