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 | Eagan High | USHS-MN-W | 25 | 4 | 1 | 5 | 0.200 | 0.0302 | 0.0302 |
| 2020-21 | Eagan High | USHS-MN-W | 19 | 1 | 3 | 4 | 0.210 | 0.0318 | 0.0318 |
| 2021-22 | Simley High (W) | USHS-MN-W | 26 | 14 | 9 | 23 | 0.885 | 0.1336 | 0.1336 |
| 2022-23 | Simley High (W) | USHS-MN-W | 27 | 19 | 53 | 72 | 2.667 | 0.4027 | 0.3700 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Concordia (WI) | NCHA | JR | 28 | 20 | 17 | 37 | 1.321 |
| 2024-25 | Concordia (WI) | NCHA | SO | 27 | 11 | 21 | 32 | 1.185 |
| 2023-24 | Concordia (WI) | NCHA | FR | 27 | 9 | 10 | 19 | 0.704 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Darby Dodds | USHS-MN-W · 2012-13 · 2.43 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 |
| Katie Rooney | USHS-MN-W · 2012-13 · 2.52 PPG | 0.219 | RPI |
| Brittany Wheeler | USHS-MN-W · 2012-13 · 2.32 PPG | 0.111 | Yale |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Kalle Reed | 2022-23 · 1.79 PPG | 0.500 | Gustavus Adolphus | MIAC |
| Mikayla Goodin | 2013-14 · 1.42 PPG | 0.667 | Wisconsin-Superior | WIAC |
| Amanda Flemming | 2015-16 · 1.60 PPG | 0.560 | Concordia | MIAC |
| Courtney Boucher | 2010-11 · 1.58 PPG | 0.567 | Gustavus Adolphus | MIAC |
| Kelcie Finn | 2010-11 · 1.27 PPG | 0.704 | Trinity | NESCAC |
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.