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 | Burnsville High (women) | USHS-MN-W | 25 | 8 | 6 | 14 | 0.560 | 0.0846 | 0.0846 |
| 2019-20 | Burnsville High (women) | USHS-MN-W | 25 | 16 | 8 | 24 | 0.960 | 0.1450 | 0.1450 |
| 2020-21 | Burnsville High (women) | USHS-MN-W | 20 | 14 | 14 | 28 | 1.400 | 0.2114 | 0.2114 |
| 2021-22 | Burnsville High (women) | USHS-MN-W | 19 | 20 | 19 | 39 | 2.053 | 0.3099 | 0.3099 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Sacred Heart | NEWHA | SR | 30 | 4 | 4 | 8 | 0.267 |
| 2024-25 | Sacred Heart | NEWHA | JR | 39 | 7 | 6 | 13 | 0.333 |
| 2023-24 | Quinnipiac | ECAC-W | SO | 23 | 0 | 1 | 1 | 0.043 |
| 2022-23 | Quinnipiac | ECAC-W | FR | 9 | 0 | 0 | 0 | 0.000 |
| 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 |
| Sylvia Marolt | USHS-MN-W · 2012-13 · 2.12 PPG | 0.000 | Bemidji State |
| Demi Gardner | USHS-MN-W · 2012-13 · 2.12 PPG | 0.250 | Minnesota State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Annalee Holzer | 2024-25 · 1.50 PPG | 0.500 | St. Norbert | NCHA |
| Lauren Ballinger | 2023-24 · 1.38 PPG | 0.556 | Wisconsin-Eau Claire | WIAC |
| Sierra Winter | 2010-11 · 1.88 PPG | — | Wisconsin-Stevens Point | WIAC |
| Amber Heidenreich | 2014-15 · 1.50 PPG | 0.500 | Wisconsin-Superior | WIAC |
| Sage Gerard | 2016-17 · 1.88 PPG | — | 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.