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 |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Durham West Jr. Lightning | OWHL-U22 | 2 | 0 | 2 | 2 | 1.000 | 0.3502 | 0.3502 |
| 2022-23 | Durham West Jr. Lightning | OWHL-U22 | 43 | 11 | 28 | 39 | 0.907 | 0.3176 | 0.3176 |
| 2023-24 | Durham West Jr. Lightning | OWHL-U22 | 39 | 11 | 31 | 42 | 1.077 | 0.3771 | 0.3771 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | UConn | HEA-W | SO | 39 | 8 | 10 | 18 | 0.462 |
| 2024-25 | UConn | HEA-W | FR | 30 | 3 | 3 | 6 | 0.200 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Katie Rooney | USHS-MN-W · 2012-13 · 2.52 PPG | 0.219 | RPI |
| Darby Dodds | USHS-MN-W · 2013-14 · 2.52 PPG | 0.000 | Lindenwood |
| Corbin Boyd | USHS-MN-W · 2013-14 · 2.42 PPG | 0.269 | Minnesota State |
| Lauren Hespenheide | USHS-MN-W · 2012-13 · 2.40 PPG | 0.257 | St. Cloud State |
| Dana Rasmussen | USHS-MN-W · 2012-13 · 2.62 PPG | 0.167 | Ohio State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Amanda Sergent | 2013-14 · 2.04 PPG | 0.667 | Wisconsin-Superior | WIAC |
| Maddie Hulter | 2022-23 · 2.24 PPG | 0.615 | Wisconsin-Eau Claire | WIAC |
| Alex Hantge | 2014-15 · 0.96 PPG | 1.417 | Wisconsin-River Falls | WIAC |
| Sophie McGovern | 2015-16 · 1.60 PPG | 0.857 | Norwich | NEHC |
| Taylor Thompson | 2015-16 · 1.16 PPG | 1.185 | St. Scholastica | NCHA |
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.