Based on 17 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 |
|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | MoDo Hockey | SDHL | 24 | 3 | 12 | 15 | 0.625 | 0.7309 | 0.8402 |
| 2011-12 | MoDo Hockey | SDHL | 28 | 12 | 8 | 20 | 0.714 | 0.8354 | 0.9077 |
| 2012-13 | MoDo Hockey | SDHL | 21 | 8 | 7 | 15 | 0.714 | 0.8354 | 0.8958 |
| 2013-14 | MoDo Hockey | SDHL | 20 | 9 | 5 | 14 | 0.700 | 0.8186 | 0.8607 |
| 2017-18 | Djurgårdens IF | SDHL | 27 | 5 | 5 | 10 | 0.370 | 0.4332 | 0.4026 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2016-17 | Minnesota Duluth | WCHA-W | SO | 37 | 5 | 10 | 15 | 0.405 |
| 2015-16 | Minnesota Duluth | WCHA-W | FR | 36 | 6 | 5 | 11 | 0.306 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Dana Rasmussen | USHS-MN-W · 2012-13 · 2.62 PPG | 0.167 | Ohio State |
| 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 |
| 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 |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Shannon Stewart | 2015-16 · 0.74 PPG | 0.833 | SUNY Plattsburgh | SUNYAC |
| Nina Hudakova | 2023-24 · 0.79 PPG | 0.962 | Wilkes | UCHC |
| Brigette Miller | 2013-14 · 1.60 PPG | 0.476 | Saint Benedict | MIAC |
| Bailey Thompson | 2014-15 · 1.00 PPG | 0.760 | Bethel | MIAC |
| Rilee Winters | 2017-18 · 0.76 PPG | 1.000 | 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.