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 |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Benilde-St. Margaret's (W) | USHS-MN-W | 25 | 6 | 4 | 10 | 0.400 | 0.0604 | 0.0604 |
| 2019-20 | Benilde-St. Margaret's (W) | USHS-MN-W | 25 | 8 | 12 | 20 | 0.800 | 0.1208 | 0.1208 |
| 2020-21 | Benilde-St. Margaret's (W) | USHS-MN-W | 17 | 8 | 9 | 17 | 1.000 | 0.1510 | 0.1510 |
| 2021-22 | Benilde-St. Margaret's (W) | USHS-MN-W | 28 | 16 | 21 | 37 | 1.321 | 0.1995 | 0.1995 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Ohio State | WCHA-W | SR | 34 | 10 | 29 | 39 | 1.147 |
| 2024-25 | Ohio State | WCHA-W | JR | 40 | 8 | 26 | 34 | 0.850 |
| 2023-24 | Ohio State | WCHA-W | SO | 36 | 7 | 16 | 23 | 0.639 |
| 2022-23 | Ohio State | WCHA-W | FR | 41 | 6 | 6 | 12 | 0.293 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Grace Bizal | USHS-MN-W · 2013-14 · 1.35 PPG | 0.268 | Boston College |
| Dani Sadek | USHS-MN-W · 2013-14 · 1.38 PPG | 0.611 | Ohio State |
| Kendra Nealey | USHS-W · 2013-14 · 2.14 PPG | 0.212 | Cornell |
| Kate Hallett | USHS-MN-W · 2012-13 · 1.08 PPG | 0.100 | Harvard |
| Katie Robinson | USHS-MN-W · 2012-13 · 1.08 PPG | 0.129 | Minnesota |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Avery Engbrecht | 2023-24 · 1.27 PPG | 0.370 | Wisconsin-Stevens Point | WIAC |
| Caitlyn Gutzman | 2017-18 · 1.21 PPG | — | Bethel | MIAC |
| Molly Garin | 2013-14 · 0.38 PPG | 1.267 | Hamline | MIAC |
| Sydney Hendricks | 2016-17 · 1.50 PPG | 0.321 | Wisconsin-Eau Claire | WIAC |
| Ellie Woodman | 2012-13 · 1.35 PPG | 0.360 | Concordia (WI) | 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.