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 |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Camb-Isanti/Mora/PC (W) | USHS-MN-W | 25 | 2 | 9 | 11 | 0.440 | 0.0664 | 0.0664 |
| 2016-17 | Camb-Isanti/Mora/PC (W) | USHS-MN-W | 24 | 4 | 15 | 19 | 0.792 | 0.1195 | 0.1195 |
| 2017-18 | Camb-Isanti/Mora/PC (W) | USHS-MN-W | 25 | 9 | 9 | 18 | 0.720 | 0.1087 | 0.1087 |
| 2018-19 | Camb-Isanti/Mora/PC (W) | USHS-MN-W | 25 | 20 | 12 | 32 | 1.280 | 0.1933 | 0.1933 |
| 2019-20 | Camb-Isanti/Mora/PC (W) | USHS-MN-W | 25 | 29 | 20 | 49 | 1.960 | 0.2960 | 0.2960 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2020-21 | Wisconsin-Eau Claire | WIAC | FR | 0 | 0 | 0 | 0 | 0.000 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Nicole Guagliardo | USHS-W · 2013-14 · 2.27 PPG | 0.156 | Mercyhurst |
| Joie Phelps | USHS-MN-W · 2013-14 · 1.26 PPG | 0.182 | Cornell |
| Sydney Brodt | USHS-MN-W · 2012-13 · 1.32 PPG | 0.600 | Minnesota Duluth |
| Jackie Pieper | USHS-MN-W · 2013-14 · 1.32 PPG | 0.324 | Merrimack |
| Kiki Radke | USHS-MN-W · 2013-14 · 1.24 PPG | 0.273 | Bemidji State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Avery Engbrecht | 2023-24 · 1.27 PPG | 0.370 | Wisconsin-Stevens Point | WIAC |
| Kylie Scott | 2022-23 · 1.04 PPG | 0.440 | Gustavus Adolphus | MIAC |
| Abby Reule | 2018-19 · 1.04 PPG | 0.450 | Concordia | MIAC |
| Lindsey Hays | 2016-17 · 1.12 PPG | 0.417 | St. Catherine | MIAC |
| Emily Lemker | 2018-19 · 1.12 PPG | 0.417 | Saint Benedict | 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.