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 | Warroad High (W) | USHS-MN-W | 24 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2019-20 | Warroad High (W) | USHS-MN-W | 25 | 18 | 36 | 54 | 2.160 | 0.3262 | 0.3262 |
| 2020-21 | Warroad High (W) | USHS-MN-W | 22 | 17 | 36 | 53 | 2.409 | 0.3638 | 0.3638 |
| 2021-22 | Warroad High (W) | USHS-MN-W | 30 | 35 | 54 | 89 | 2.967 | 0.4480 | 0.4480 |
| 2022-23 | Warroad High (W) | USHS-MN-W | 30 | 38 | 63 | 101 | 3.367 | 0.5084 | 0.5084 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Bemidji State | CHA-W | JR | 28 | 1 | 4 | 5 | 0.179 |
| 2024-25 | Bemidji State | CHA-W | SO | 37 | 1 | 6 | 7 | 0.189 |
| 2023-24 | Bemidji State | CHA-W | FR | 35 | 3 | 2 | 5 | 0.143 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Nicole Schammel | USHS-MN-W · 2013-14 · 3.44 PPG | 0.611 | Minnesota State |
| Kelly Pannek | USHS-MN-W · 2012-13 · 3.45 PPG | 1.073 | Minnesota |
| Emma Nuutinen | SMLIIGA-W · 2012-13 · 1.25 PPG | 0.559 | North Dakota |
| Jessie Aney | USHS-MN-W · 2012-13 · 3.17 PPG | 0.267 | UConn |
| Saana Valkama | SMLIIGA-W · 2012-13 · 1.43 PPG | 0.314 | Vermont |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Dani Sibley | 2011-12 · 1.68 PPG | 0.733 | Wisconsin-River Falls | WIAC |
| Rilee Winters | 2021-22 · 1.23 PPG | 1.000 | Wisconsin-Eau Claire | WIAC |
| Madison Nipper | 2016-17 · 3.42 PPG | 0.360 | New England College | NEHC |
| Nina Hudakova | 2022-23 · 1.28 PPG | 0.962 | Wilkes | UCHC |
| Brooke Walters | 2016-17 · 1.72 PPG | 0.714 | Wisconsin-River Falls | 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.