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 | Camb-Isanti/Mora/PC (W) | USHS-MN-W | 24 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2017-18 | Camb-Isanti/Mora/PC (W) | USHS-MN-W | 25 | 8 | 11 | 19 | 0.760 | 0.1148 | 0.1148 |
| 2018-19 | Camb-Isanti/Mora/PC (W) | USHS-MN-W | 25 | 13 | 24 | 37 | 1.480 | 0.2235 | 0.2235 |
| 2019-20 | Blake School (W) | USHS-MN-W | 19 | 0 | 2 | 2 | 0.105 | 0.0159 | 0.0159 |
| 2021-22 | Chisago Lakes High (W) | USHS-MN-W | 26 | 10 | 22 | 32 | 1.231 | 0.1859 | 0.1859 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2022-23 | Wisconsin-Eau Claire | WIAC | FR | 1 | 0 | 1 | 1 | 1.000 |
| 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 |
| Hailey Rock | 2011-12 · 2.25 PPG | 0.200 | Wisconsin-Stevens Point | NCHA |
| Addison Novack | 2024-25 · 1.12 PPG | — | Wisconsin-Stevens Point | WIAC |
| Madison Nichols | 2016-17 · 1.00 PPG | 0.450 | Nazareth | 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.