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 |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Worcester Academy | NE-Prep-Girls | 27 | 12 | 40 | 52 | 1.930 | 0.6269 | 0.6269 |
| 2018-19 | Worcester Academy | NE-Prep-Girls | 27 | 18 | 34 | 52 | 1.930 | 0.6269 | 0.6269 |
| 2019-20 | Worcester Academy | NE-Prep-Girls | 30 | 18 | 30 | 48 | 1.600 | 0.5197 | 0.5197 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2024-25 | SUNY Plattsburgh | SUNYAC | JR | 28 | 6 | 11 | 17 | 0.607 |
| 2023-24 | SUNY Plattsburgh | SUNYAC | SO | 28 | 10 | 16 | 26 | 0.929 |
| 2022-23 | SUNY Plattsburgh | SUNYAC | FR | 29 | 4 | 22 | 26 | 0.897 |
| 2021-22 | New Hampshire | HEA-W | SO | 15 | 0 | 2 | 2 | 0.133 |
| 2020-21 | New Hampshire | HEA-W | FR | 21 | 0 | 6 | 6 | 0.286 |
| 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 |
| Saana Valkama | SMLIIGA-W · 2012-13 · 1.43 PPG | 0.314 | Vermont |
| Jessie Aney | USHS-MN-W · 2012-13 · 3.17 PPG | 0.267 | UConn |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Cheyenne Abear | 2018-19 · 1.24 PPG | 0.875 | Hamline | MIAC |
| Megan Lyke | 2016-17 · 1.08 PPG | 1.000 | Lake Forest | NCHA |
| Dani Kocina | 2013-14 · 1.88 PPG | 0.581 | Wisconsin-River Falls | WIAC |
| Madison Davis | 2016-17 · 1.12 PPG | 0.962 | Hamline | MIAC |
| Claire Cripps | 2011-12 · 2.28 PPG | 0.480 | Augsburg | 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.