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 |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Bloomington Jefferson High (W) | USHS-MN-W | 25 | 9 | 8 | 17 | 0.680 | 0.1027 | 0.1027 |
| 2015-16 | Bloomington Jefferson High (W) | USHS-MN-W | 25 | 5 | 11 | 16 | 0.640 | 0.0966 | 0.0966 |
| 2016-17 | Bloomington Jefferson High (W) | USHS-MN-W | 25 | 8 | 9 | 17 | 0.680 | 0.1027 | 0.1027 |
| 2017-18 | Bloomington Jefferson High (W) | USHS-MN-W | 24 | 11 | 15 | 26 | 1.083 | 0.1636 | 0.1636 |
| 2018-19 | Bloomington Jefferson High (W) | USHS-MN-W | 25 | 15 | 10 | 25 | 1.000 | 0.1510 | 0.1510 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2022-23 | St. Thomas | CHA-W | SR | 36 | 3 | 3 | 6 | 0.167 |
| 2021-22 | St. Thomas | CHA-W | JR | 33 | 6 | 3 | 9 | 0.273 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Ivy Dynek | USHS-W · 2013-14 · 1.78 PPG | 0.000 | St. Cloud State |
| Katie Detert | USHS-W · 2012-13 · 1.80 PPG | 0.000 | St. Cloud State |
| Molly Strabley | NE-Prep-Girls · 2012-13 · 0.48 PPG | 0.103 | Princeton |
| Annie Roche | USHS-W · 2012-13 · 1.88 PPG | 0.000 | Colgate |
| Grace Zumwinkle | USHS-MN-W · 2012-13 · 1.08 PPG | 1.000 | Minnesota |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Amber Meluzio | 2024-25 · 0.79 PPG | 0.464 | Elmira | UCHC |
| Shelby Evans | 2024-25 · 0.89 PPG | — | St. Scholastica | NCHA |
| Cara Cook | 2022-23 · 1.12 PPG | 0.333 | Aurora | NCHA |
| Andrea Noss | 2013-14 · 0.52 PPG | 0.667 | SUNY Oswego | SUNYAC |
| Diana Draayer | 2013-14 · 0.68 PPG | 0.538 | Gustavus Adolphus | 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.