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 |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Academy of Holy Angels (W) | USHS-MN-W | 25 | 8 | 13 | 21 | 0.840 | 0.1268 | 0.1268 |
| 2020-21 | Academy of Holy Angels (W) | USHS-MN-W | 15 | 12 | 11 | 23 | 1.533 | 0.2315 | 0.2315 |
| 2021-22 | Academy of Holy Angels (W) | USHS-MN-W | 28 | 23 | 27 | 50 | 1.786 | 0.2696 | 0.2696 |
| 2022-23 | Academy of Holy Angels (W) | USHS-MN-W | 27 | 22 | 21 | 43 | 1.593 | 0.2405 | 0.2405 |
| 2023-24 | Academy of Holy Angels (W) | USHS-MN-W | 30 | 27 | 11 | 38 | 1.267 | 0.1913 | 0.1913 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Olaf | MIAC | SO | 25 | 2 | 2 | 4 | 0.160 |
| 2024-25 | St. Olaf | MIAC | FR | 18 | 5 | 3 | 8 | 0.444 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Joie Phelps | USHS-MN-W · 2013-14 · 1.26 PPG | 0.182 | Cornell |
| Nicole Guagliardo | USHS-W · 2013-14 · 2.27 PPG | 0.156 | Mercyhurst |
| Kiki Radke | USHS-MN-W · 2013-14 · 1.24 PPG | 0.273 | Bemidji State |
| Mac Johnson | USHS-MN-W · 2013-14 · 1.22 PPG | 0.125 | St. Cloud State |
| Sydney Brodt | USHS-MN-W · 2012-13 · 1.32 PPG | 0.600 | Minnesota Duluth |
| 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 |
| Olivia Martin | 2024-25 · 0.92 PPG | 0.500 | Bethel | MIAC |
| Gracyn Schipper | 2024-25 · 1.38 PPG | 0.333 | Wisconsin-Eau Claire | WIAC |
| Madison Lavergne | 2018-19 · 0.48 PPG | 0.966 | Wisconsin-River Falls | 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.