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 | 2 | 9 | 11 | 0.440 | 0.0664 | 0.0664 |
| 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 | 19 | 5 | 10 | 15 | 0.789 | 0.1192 | 0.1192 |
| 2021-22 | Benilde-St. Margaret's (W) | USHS-MN-W | 28 | 11 | 24 | 35 | 1.250 | 0.1888 | 0.1888 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Post | CHA-W | JR | 35 | 9 | 9 | 18 | 0.514 |
| 2023-24 | Lindenwood | WCHA-W | SO | 32 | 0 | 11 | 11 | 0.344 |
| 2022-23 | Lindenwood | WCHA-W | FR | 30 | 1 | 4 | 5 | 0.167 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Kendra Nealey | USHS-W · 2013-14 · 2.14 PPG | 0.212 | Cornell |
| Grace Bizal | USHS-MN-W · 2012-13 · 1.16 PPG | 0.268 | Boston College |
| Dani Sadek | USHS-MN-W · 2013-14 · 1.38 PPG | 0.611 | Ohio State |
| 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 |
|---|---|---|---|---|
| Kylie Scott | 2022-23 · 1.04 PPG | 0.440 | Gustavus Adolphus | MIAC |
| Avery Engbrecht | 2023-24 · 1.27 PPG | 0.370 | Wisconsin-Stevens Point | WIAC |
| Sophia Zebro | 2016-17 · 1.32 PPG | 0.346 | Saint Mary's | MIAC |
| Olivia Martin | 2024-25 · 0.92 PPG | 0.500 | Bethel | MIAC |
| Lauren Kolak | 2010-11 · 1.08 PPG | 0.423 | Bethel | 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.