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 |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Okanagan HA U18 Prep | CSSHL-U18W | 23 | 8 | 6 | 14 | 0.609 | 0.1395 | 0.1395 |
| 2020-21 | Regina Rebels | SFMAAAHL-W | 0 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2021-22 | RINK HA Kelowna U18 Prep | CSSHL-U18W | 23 | 11 | 15 | 26 | 1.130 | 0.2590 | 0.2590 |
| 2022-23 | RINK HA Kelowna U18 Prep | CSSHL-U18W | 30 | 7 | 35 | 42 | 1.400 | 0.3207 | 0.3207 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Clarkson | ECAC-W | JR | 27 | 9 | 12 | 21 | 0.778 |
| 2024-25 | Robert Morris | CHA-W | SO | 34 | 6 | 9 | 15 | 0.441 |
| 2023-24 | Robert Morris | CHA-W | FR | 35 | 9 | 19 | 28 | 0.800 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Sylvia Marolt | USHS-MN-W · 2012-13 · 2.12 PPG | 0.000 | Bemidji State |
| Demi Gardner | USHS-MN-W · 2012-13 · 2.12 PPG | 0.250 | Minnesota State |
| Taylor Williamson | USHS-MN-W · 2013-14 · 2.14 PPG | 0.395 | Minnesota |
| Haley Mack | USHS-MN-W · 2012-13 · 2.16 PPG | 0.371 | Bemidji State |
| Emily Bergland | USHS-MN-W · 2012-13 · 2.16 PPG | 0.114 | Bemidji State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Katie Aney | 2011-12 · 2.68 PPG | 0.385 | Gustavus Adolphus | MIAC |
| Madison Lavergne | 2021-22 · 1.07 PPG | 0.966 | Wisconsin-River Falls | WIAC |
| Natalie Meeder | 2024-25 · 1.07 PPG | 0.960 | Dubuque | NCHA |
| Kora Torkelson | 2016-17 · 1.60 PPG | 0.643 | Wisconsin-River Falls | WIAC |
| Brooke Walters | 2018-19 · 1.44 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.