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 | Fergus Falls High (W) | USHS-MN-W | 25 | 5 | 6 | 11 | 0.440 | 0.0664 | 0.0664 |
| 2019-20 | Fergus Falls High (W) | USHS-MN-W | 25 | 17 | 13 | 30 | 1.200 | 0.1812 | 0.1812 |
| 2020-21 | Fergus Falls High (W) | USHS-MN-W | 20 | 16 | 11 | 27 | 1.350 | 0.2039 | 0.2039 |
| 2021-22 | Fergus Falls High (W) | USHS-MN-W | 26 | 26 | 25 | 51 | 1.962 | 0.2962 | 0.2962 |
| 2022-23 | Fergus Falls High (W) | USHS-MN-W | 29 | 32 | 33 | 65 | 2.241 | 0.3385 | 0.3033 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wisconsin-Eau Claire | WIAC | JR | 28 | 10 | 20 | 30 | 1.071 |
| 2024-25 | Wisconsin-Eau Claire | WIAC | SO | 28 | 4 | 12 | 16 | 0.571 |
| 2023-24 | Wisconsin-Eau Claire | WIAC | FR | 26 | 7 | 9 | 16 | 0.615 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Emily Bergland | USHS-MN-W · 2013-14 · 2.04 PPG | 0.114 | Bemidji State |
| Lindsay Roethke | USHS-MN-W · 2012-13 · 1.96 PPG | 0.027 | UConn |
| 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 |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Kaiya Sandy | 2024-25 · 1.27 PPG | 0.571 | Hamline | MIAC |
| Sophie Martin | 2024-25 · 1.12 PPG | 0.667 | Bethel | MIAC |
| Annalee Holzer | 2024-25 · 1.50 PPG | 0.500 | St. Norbert | NCHA |
| Paige Lysne | 2010-11 · 1.84 PPG | — | Wisconsin-Eau Claire | WIAC |
| Ashley Wagenbach | 2023-24 · 1.19 PPG | 0.636 | Wisconsin-Eau Claire | 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.