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 | St. Paul United (W) | USHS-MN-W | 25 | 4 | 8 | 12 | 0.480 | 0.0725 | 0.0725 |
| 2019-20 | St. Paul United (W) | USHS-MN-W | 25 | 19 | 15 | 34 | 1.360 | 0.2054 | 0.2054 |
| 2020-21 | Minnehaha United (W) | USHS-MN-W | 18 | 20 | 15 | 35 | 1.944 | 0.2936 | 0.2936 |
| 2021-22 | Minnehaha United (W) | USHS-MN-W | 26 | 48 | 43 | 91 | 3.500 | 0.5285 | 0.5285 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Williams | NESCAC | SR | 28 | 8 | 11 | 19 | 0.679 |
| 2024-25 | Williams | NESCAC | JR | 25 | 7 | 10 | 17 | 0.680 |
| 2023-24 | Williams | NESCAC | SO | 23 | 4 | 10 | 14 | 0.609 |
| 2022-23 | Williams | NESCAC | FR | 24 | 2 | 2 | 4 | 0.167 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Kelly Pannek | USHS-MN-W · 2012-13 · 3.45 PPG | 1.073 | Minnesota |
| Nicole Schammel | USHS-MN-W · 2013-14 · 3.44 PPG | 0.611 | Minnesota State |
| Saana Valkama | SMLIIGA-W · 2012-13 · 1.43 PPG | 0.314 | Vermont |
| 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 |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Jessica VonRuden | 2015-16 · 1.92 PPG | 0.667 | Adrian | NCHA |
| Hailey Herdine | 2014-15 · 1.08 PPG | 1.185 | Wisconsin-River Falls | WIAC |
| Sydney Simone | 2014-15 · 1.20 PPG | 1.071 | Lake Forest | NCHA |
| Erica Power | 2011-12 · 1.24 PPG | 1.038 | Gustavus Adolphus | MIAC |
| Sophie Rausch | 2014-15 · 0.96 PPG | 1.346 | Hamline | 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.