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 | White Bear Lake High (women) | USHS-MN-W | 22 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2020-21 | White Bear Lake High (women) | USHS-MN-W | 19 | 2 | 3 | 5 | 0.263 | 0.0397 | 0.0397 |
| 2021-22 | Cretin-Derham Hall (women) | USHS-MN-W | 27 | 11 | 15 | 26 | 0.963 | 0.1454 | 0.1454 |
| 2022-23 | Cretin-Derham Hall (women) | USHS-MN-W | 21 | 13 | 11 | 24 | 1.143 | 0.1726 | 0.1726 |
| 2023-24 | Cretin-Derham Hall (women) | USHS-MN-W | 25 | 17 | 11 | 28 | 1.120 | 0.1691 | 0.1650 |
| 2024-25 | Cretin-Derham Hall (women) | USHS-MN-W | 26 | 14 | 15 | 29 | 1.115 | 0.1684 | 0.1579 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Franklin Pierce | NEWHA | FR | 34 | 8 | 17 | 25 | 0.735 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Ivy Dynek | USHS-W · 2012-13 · 1.92 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 |
| Jordan Chancellor | USHS-MN-W · 2012-13 · 1.08 PPG | 0.517 | Yale |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Lily McKenzie | 2024-25 · 1.81 PPG | 0.210 | Wisconsin-River Falls | WIAC |
| Renee Ng | 2023-24 · 0.38 PPG | 1.042 | Wilkes | UCHC |
| Sam Mugge | 2014-15 · 0.96 PPG | — | Wisconsin-Superior | WIAC |
| Logan Harper | 2013-14 · 1.31 PPG | 0.292 | Wisconsin-Stevens Point | WIAC |
| Shelby Evans | 2023-24 · 0.93 PPG | — | St. Scholastica | NCHA |
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.