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 | Chisago Lakes High (W) | USHS-MN-W | 11 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2020-21 | Chisago Lakes High (W) | USHS-MN-W | 20 | 1 | 0 | 1 | 0.050 | 0.0076 | 0.0076 |
| 2021-22 | Chisago Lakes High (W) | USHS-MN-W | 27 | 4 | 5 | 9 | 0.333 | 0.0503 | 0.0503 |
| 2022-23 | Chisago Lakes High (W) | USHS-MN-W | 27 | 16 | 14 | 30 | 1.111 | 0.1678 | 0.1587 |
| 2023-24 | Chisago Lakes High (W) | USHS-MN-W | 27 | 17 | 14 | 31 | 1.148 | 0.1734 | 0.1567 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Hamline | MIAC | SO | 28 | 9 | 15 | 24 | 0.857 |
| 2024-25 | Hamline | MIAC | FR | 25 | 3 | 4 | 7 | 0.280 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| 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 |
| Katie Detert | USHS-W · 2012-13 · 1.80 PPG | 0.000 | St. Cloud State |
| Ivy Dynek | USHS-W · 2013-14 · 1.78 PPG | 0.000 | St. Cloud State |
| Grace Zumwinkle | USHS-MN-W · 2012-13 · 1.08 PPG | 1.000 | Minnesota |
| 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 |
| Tala Gallaga | 2010-11 · 1.00 PPG | — | St. Olaf | MIAC |
| Amber Meluzio | 2024-25 · 0.79 PPG | 0.464 | Elmira | UCHC |
| Maeghan Howson | 2022-23 · 1.14 PPG | 0.333 | Lebanon Valley | UCHC |
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.