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 |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Camb-Isanti/Mora/PC (W) | USHS-MN-W | 23 | 4 | 5 | 9 | 0.391 | 0.0591 | 0.0591 |
| 2015-16 | Camb-Isanti/Mora/PC (W) | USHS-MN-W | 25 | 10 | 5 | 15 | 0.600 | 0.0906 | 0.0906 |
| 2016-17 | Camb-Isanti/Mora/PC (W) | USHS-MN-W | 25 | 9 | 16 | 25 | 1.000 | 0.1510 | 0.1510 |
| 2017-18 | Camb-Isanti/Mora/PC (W) | USHS-MN-W | 25 | 11 | 23 | 34 | 1.360 | 0.2054 | 0.2054 |
| 2018-19 | Camb-Isanti/Mora/PC (W) | USHS-MN-W | 25 | 12 | 22 | 34 | 1.360 | 0.2054 | 0.2054 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2019-20 | Wisconsin-Superior | WIAC | FR | 27 | 4 | 6 | 10 | 0.370 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Sena Hanson | USHS-MN-W · 2012-13 · 1.36 PPG | 0.630 | Brown |
| Savannah Quandt | USHS-MN-W · 2012-13 · 1.36 PPG | 0.111 | Minnesota |
| Casey Leveillee | NE-Prep-Girls · 2012-13 · 0.63 PPG | 0.265 | Vermont |
| Sylvia Marolt | USHS-MN-W · 2013-14 · 1.35 PPG | 0.000 | Bemidji State |
| Natalie Snodgrass | USHS-MN-W · 2013-14 · 1.33 PPG | 1.000 | UConn |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Gracyn Knowles | 2024-25 · 0.92 PPG | 0.548 | Wisconsin-River Falls | WIAC |
| Kaleigh Martinson | 2012-13 · 0.84 PPG | 0.593 | Wisconsin-Superior | WIAC |
| Greta Nundahl | 2013-14 · 0.96 PPG | 0.519 | St. Scholastica | NCHA |
| Krista Federow | 2012-13 · 0.65 PPG | 0.760 | William Smith | NEHC |
| Anna Carman | 2010-11 · 1.24 PPG | — | St. Catherine | 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.