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 |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Wayzata High (W) | USHS-MN-W | 25 | 9 | 3 | 12 | 0.480 | 0.0725 | 0.0725 |
| 2017-18 | Wayzata High (W) | USHS-MN-W | 25 | 12 | 12 | 24 | 0.960 | 0.1450 | 0.1450 |
| 2018-19 | Wayzata High (W) | USHS-MN-W | 24 | 11 | 14 | 25 | 1.042 | 0.1573 | 0.1573 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2023-24 | Wisconsin-River Falls | WIAC | SR | 31 | 33 | 31 | 64 | 2.064 |
| 2022-23 | Wisconsin-River Falls | WIAC | JR | 29 | 28 | 20 | 48 | 1.655 |
| 2021-22 | Wisconsin-River Falls | WIAC | SO | 28 | 19 | 11 | 30 | 1.071 |
| 2020-21 | Wisconsin-River Falls | WIAC | FR | 12 | 5 | 4 | 9 | 0.750 |
| 2019-20 | Wisconsin-River Falls | WIAC | — | 29 | 4 | 7 | 11 | 0.379 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Molly Strabley | NE-Prep-Girls · 2012-13 · 0.48 PPG | 0.103 | Princeton |
| Ivy Dynek | USHS-W · 2012-13 · 1.92 PPG | 0.000 | St. Cloud State |
| 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 |
|---|---|---|---|---|
| Cara Cook | 2022-23 · 1.12 PPG | 0.333 | Aurora | NCHA |
| Emerson Hardwick | 2025-26 · 0.90 PPG | — | Post | NE10 |
| Amber Meluzio | 2024-25 · 0.79 PPG | 0.464 | Elmira | UCHC |
| Lily McKenzie | 2024-25 · 1.81 PPG | 0.210 | Wisconsin-River Falls | WIAC |
| Julia Osowski | 2010-11 · 1.42 PPG | 0.269 | Wisconsin-Eau Claire | WIAC |
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.