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 | Shakopee High (women) | USHS-MN-W | 25 | 10 | 6 | 16 | 0.640 | 0.0966 | 0.0966 |
| 2019-20 | Shakopee High (women) | USHS-MN-W | 25 | 12 | 18 | 30 | 1.200 | 0.1812 | 0.1812 |
| 2020-21 | Shakopee High (women) | USHS-MN-W | 17 | 6 | 12 | 18 | 1.059 | 0.1599 | 0.1599 |
| 2021-22 | Shakopee High (women) | USHS-MN-W | 27 | 16 | 18 | 34 | 1.259 | 0.1902 | 0.1902 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Merrimack | HEA-W | SR | 35 | 4 | 9 | 13 | 0.371 |
| 2024-25 | Lindenwood | WCHA-W | JR | 33 | 3 | 7 | 10 | 0.303 |
| 2023-24 | Lindenwood | WCHA-W | SO | 32 | 8 | 11 | 19 | 0.594 |
| 2022-23 | Lindenwood | WCHA-W | FR | 25 | 1 | 0 | 1 | 0.040 |
| 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 |
| Natalie Snodgrass | USHS-MN-W · 2012-13 · 1.20 PPG | 1.000 | UConn |
| 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 |
| Victoria Nelson | 2021-22 · 0.96 PPG | 0.480 | St. Scholastica | 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.