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 | Rochester J.M./Lourdes | USHS-MN-W | 25 | 12 | 6 | 18 | 0.720 | 0.1087 | 0.1087 |
| 2016-17 | Rochester J.M./Lourdes | USHS-MN-W | 25 | 13 | 25 | 38 | 1.520 | 0.2295 | 0.2295 |
| 2017-18 | Rochester John Marshall High (W) | USHS-MN-W | 20 | 17 | 11 | 28 | 1.400 | 0.2114 | 0.2114 |
| 2018-19 | Rochester John Marshall High (W) | USHS-MN-W | 25 | 34 | 17 | 51 | 2.040 | 0.3080 | 0.3080 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2022-23 | Bethel | MIAC | JR | 7 | 1 | 0 | 1 | 0.143 |
| 2021-22 | Bethel | MIAC | SO | 13 | 2 | 0 | 2 | 0.154 |
| 2020-21 | Bethel | MIAC | FR | 8 | 3 | 2 | 5 | 0.625 |
| 2019-20 | Gustavus Adolphus | MIAC | FR | 28 | 3 | 0 | 3 | 0.107 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Emily Bergland | USHS-MN-W · 2013-14 · 2.04 PPG | 0.114 | Bemidji State |
| Catherine Skaja | USHS-MN-W · 2012-13 · 2.08 PPG | 0.342 | Minnesota |
| Rebekah Kolstad | USHS-MN-W · 2012-13 · 2.09 PPG | 0.057 | North Dakota |
| Lindsay Roethke | USHS-MN-W · 2012-13 · 1.96 PPG | 0.027 | UConn |
| Sylvia Marolt | USHS-MN-W · 2012-13 · 2.12 PPG | 0.000 | Bemidji State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Annalee Holzer | 2024-25 · 1.50 PPG | 0.500 | St. Norbert | NCHA |
| Sophie Martin | 2024-25 · 1.12 PPG | 0.667 | Bethel | MIAC |
| Lauren Ballinger | 2023-24 · 1.38 PPG | 0.556 | Wisconsin-Eau Claire | WIAC |
| Abby Sawyer | 2012-13 · 1.29 PPG | 0.577 | St. Scholastica | NCHA |
| Lauren Smith | 2013-14 · 1.29 PPG | 0.577 | Wisconsin-Stevens Point | 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.