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 |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Blake School (W) | USHS-MN-W | 25 | 4 | 3 | 7 | 0.280 | 0.0423 | 0.0423 |
| 2019-20 | Blake School (W) | USHS-MN-W | 25 | 4 | 5 | 9 | 0.360 | 0.0544 | 0.0544 |
| 2020-21 | Blake School (W) | USHS-MN-W | 19 | 11 | 13 | 24 | 1.263 | 0.1907 | 0.1907 |
| 2021-22 | Blake School (W) | USHS-MN-W | 24 | 17 | 24 | 41 | 1.708 | 0.2580 | 0.2580 |
| 2022-23 | Blake School (W) | USHS-MN-W | 27 | 35 | 32 | 67 | 2.482 | 0.3747 | 0.3747 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Brown | ECAC-W | JR | 34 | 6 | 16 | 22 | 0.647 |
| 2024-25 | Brown | ECAC-W | SO | 27 | 3 | 15 | 18 | 0.667 |
| 2023-24 | Brown | ECAC-W | FR | 32 | 6 | 9 | 15 | 0.469 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| 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 Hespenheide | USHS-MN-W · 2012-13 · 2.40 PPG | 0.257 | St. Cloud State |
| Dana Rasmussen | USHS-MN-W · 2012-13 · 2.62 PPG | 0.167 | Ohio State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Megan Killmer | 2010-11 · 1.12 PPG | 0.808 | St. Catherine | MIAC |
| Jillayne Gilbert | 2014-15 · 2.40 PPG | 0.379 | Wisconsin-River Falls | WIAC |
| Courtney Bloemke | 2015-16 · 1.64 PPG | 0.552 | St. Scholastica | NCHA |
| Julianne Bradford | 2024-25 · 1.83 PPG | 0.500 | Wisconsin-Eau Claire | WIAC |
| Taylor Ham | 2014-15 · 0.95 PPG | 0.962 | Manhattanville | 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.