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 |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | White Bear Lake High (women) | USHS-MN-W | 18 | 2 | 1 | 3 | 0.167 | 0.0252 | 0.0252 |
| 2021-22 | White Bear Lake High (women) | USHS-MN-W | 27 | 3 | 5 | 8 | 0.296 | 0.0447 | 0.0447 |
| 2022-23 | White Bear Lake High (women) | USHS-MN-W | 26 | 12 | 16 | 28 | 1.077 | 0.1626 | 0.1603 |
| 2023-24 | White Bear Lake High (women) | USHS-MN-W | 27 | 16 | 12 | 28 | 1.037 | 0.1566 | 0.1478 |
| 2024-25 | White Bear Lake High (women) | USHS-MN-W | 25 | 11 | 18 | 29 | 1.160 | 0.1752 | 0.1587 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wisconsin-River Falls | WIAC | FR | 19 | 1 | 1 | 2 | 0.105 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Annie Roche | USHS-W · 2012-13 · 1.88 PPG | 0.000 | Colgate |
| Molly Strabley | NE-Prep-Girls · 2012-13 · 0.48 PPG | 0.103 | Princeton |
| 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 |
| Jessica Bonfe | USHS-MN-W · 2013-14 · 1.08 PPG | 0.206 | Merrimack |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Cara Cook | 2022-23 · 1.12 PPG | 0.333 | Aurora | NCHA |
| Lily McKenzie | 2024-25 · 1.81 PPG | 0.210 | Wisconsin-River Falls | WIAC |
| Katie Collins | 2024-25 · 1.30 PPG | 0.296 | Western New England | CNE |
| Piper Andrews | 2021-22 · 2.12 PPG | 0.182 | Elmira | UCHC |
| Megan Mohr | 2014-15 · 0.80 PPG | 0.480 | Concordia | 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.