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 | Farmington High MN (women) | USHS-MN-W | 26 | 10 | 9 | 19 | 0.731 | 0.1104 | 0.1104 |
| 2018-19 | Farmington High MN (women) | USHS-MN-W | 25 | 22 | 21 | 43 | 1.720 | 0.2597 | 0.2597 |
| 2019-20 | Farmington High MN (women) | USHS-MN-W | 23 | 13 | 10 | 23 | 1.000 | 0.1510 | 0.1510 |
| 2020-21 | Lakeville South High | USHS-MN-W | 20 | 17 | 13 | 30 | 1.500 | 0.2265 | 0.2265 |
| 2021-22 | Lakeville South High | USHS-MN-W | 28 | 54 | 21 | 75 | 2.679 | 0.4045 | 0.4045 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wisconsin | WCHA-W | JR | 41 | 9 | 11 | 20 | 0.488 |
| 2024-25 | Wisconsin | WCHA-W | JR | 41 | 7 | 8 | 15 | 0.366 |
| 2022-23 | Wisconsin | WCHA-W | FR | 38 | 4 | 11 | 15 | 0.395 |
| 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 |
|---|---|---|---|---|
| Chloe Summerfield | 2015-16 · 1.96 PPG | 0.500 | Wisconsin-Eau Claire | WIAC |
| Hadley Malcolmson | 2016-17 · 2.70 PPG | 0.364 | Wisconsin-River Falls | WIAC |
| Ari Smith | 2012-13 · 2.46 PPG | — | Elmira | UCHC |
| Drew Kopek | 2021-22 · 2.33 PPG | 0.417 | SUNY Cortland | SUNYAC |
| Maddie Kolbow | 2015-16 · 1.56 PPG | 0.633 | 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.