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 | Team Kuortane | SMLIIGA-W | 22 | 0 | 3 | 3 | 0.136 | 0.0530 | 0.0530 |
| 2019-20 | Team Kuortane | SMLIIGA-W | 30 | 4 | 20 | 24 | 0.800 | 0.3111 | 0.3111 |
| 2020-21 | Team Kuortane | SMLIIGA-W | 13 | 4 | 2 | 6 | 0.462 | 0.1795 | 0.1795 |
| 2021-22 | Team Kuortane | SMLIIGA-W | 26 | 8 | 18 | 26 | 1.000 | 0.3889 | 0.3889 |
| 2022-23 | Team Kuortane | SMLIIGA-W | 34 | 13 | 20 | 33 | 0.971 | 0.3775 | 0.3775 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Syracuse | CHA-W | JR | 36 | 7 | 7 | 14 | 0.389 |
| 2024-25 | Syracuse | CHA-W | SO | 38 | 7 | 11 | 18 | 0.474 |
| 2023-24 | Syracuse | CHA-W | FR | 34 | 3 | 4 | 7 | 0.206 |
| 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 |
|---|---|---|---|---|
| Morgan Bolin | 2012-13 · 1.50 PPG | 0.560 | Marian | NCHA |
| Callen Naasz | 2011-12 · 1.40 PPG | 0.600 | Augsburg | MIAC |
| Alyssa Heim | 2015-16 · 2.10 PPG | — | Wisconsin-Eau Claire | WIAC |
| Nikki Sharp | 2021-22 · 1.45 PPG | 0.577 | Nazareth | UCHC |
| Samantha Young | 2016-17 · 1.86 PPG | 0.455 | 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.