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 |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | California Wave 16U AAA | 16U-AAA-W | 44 | 9 | 8 | 17 | 0.386 | 0.1229 | 0.1229 |
| 2024-25 | Skellefteå AIK | SDHL | 32 | 8 | 9 | 17 | 0.531 | 0.6212 | 0.5960 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2023-24 | Long Island Univ. | CHA-W | SO | 37 | 20 | 11 | 31 | 0.838 |
| 2022-23 | LIU | CHA-W | SR | 35 | 10 | 8 | 18 | 0.514 |
| 2022-23 | Long Island Univ. | CHA-W | FR | 35 | 10 | 8 | 18 | 0.514 |
| 2021-22 | Penn State | WCHA-W | JR | 16 | 1 | 0 | 1 | 0.062 |
| 2020-21 | Penn State | WCHA-W | SO | 9 | 1 | 1 | 2 | 0.222 |
| 2019-20 | Penn State | WCHA-W | FR | 35 | 2 | 3 | 5 | 0.143 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Nicole Schammel | USHS-MN-W · 2012-13 · 4.16 PPG | 0.611 | Minnesota State |
| Saana Valkama | SMLIIGA-W · 2012-13 · 1.43 PPG | 0.314 | Vermont |
| Brooke Avery | NE-Prep-Girls · 2012-13 · 2.00 PPG | 0.062 | New Hampshire |
| Jessie Aney | USHS-MN-W · 2013-14 · 4.36 PPG | 0.267 | UConn |
| Kelly Pannek | USHS-MN-W · 2012-13 · 3.45 PPG | 1.073 | Minnesota |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Tristan Wicklund | 2022-23 · 1.29 PPG | 0.871 | St. Norbert | NCHA |
| Holly VanNetten | 2024-25 · 0.75 PPG | 1.500 | Mercyhurst | AHA |
| Addison Moos | 2022-23 · 1.67 PPG | 0.680 | Concordia | MIAC |
| Brionna Stafne | 2014-15 · 1.28 PPG | 0.875 | Bethel | MIAC |
| Hailey Herdine | 2013-14 · 0.96 PPG | 1.185 | 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.