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 |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Mankato West High (women) | USHS-MN-W | 25 | 3 | 4 | 7 | 0.280 | 0.0423 | 0.0423 |
| 2018-19 | Mankato West High (women) | USHS-MN-W | 24 | 23 | 14 | 37 | 1.542 | 0.2328 | 0.2328 |
| 2019-20 | Mankato West High (women) | USHS-MN-W | 24 | 27 | 10 | 37 | 1.542 | 0.2328 | 0.2328 |
| 2020-21 | Shattuck St. Mary's Prep | NE-Prep-Girls | 44 | 10 | 9 | 19 | 0.432 | 0.1402 | 0.1402 |
| 2021-22 | Shattuck St. Mary's Prep | NE-Prep-Girls | 56 | 8 | 12 | 20 | 0.357 | 0.1160 | 0.1160 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Augsburg | MIAC | SR | 26 | 1 | 3 | 4 | 0.154 |
| 2024-25 | Augsburg | MIAC | JR | 25 | 9 | 2 | 11 | 0.440 |
| 2022-23 | St. Thomas | CHA-W | FR | 11 | 1 | 0 | 1 | 0.091 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Janna Haeg | USHS-MN-W · 2012-13 · 0.76 PPG | 0.303 | St. Cloud State |
| Kendall Williamson | USHS-MN-W · 2012-13 · 0.76 PPG | 0.000 | Colgate |
| Sofia Poinar | USHS-MN-W · 2012-13 · 0.76 PPG | 0.028 | Minnesota State |
| Renee Saltness | USHS-MN-W · 2012-13 · 0.79 PPG | 0.029 | Quinnipiac |
| Tianna Gunderson | USHS-MN-W · 2012-13 · 0.79 PPG | 0.069 | Minnesota |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Jorja Jusczak | 2023-24 · 1.00 PPG | 0.240 | Saint Benedict | MIAC |
| Olivia Patnode | 2022-23 · 0.63 PPG | — | Saint Mary's | MIAC |
| Kylie Ligday | 2022-23 · 0.81 PPG | 0.280 | Gustavus Adolphus | MIAC |
| Macy Janssen | 2022-23 · 0.74 PPG | 0.333 | Gustavus Adolphus | MIAC |
| Lucy Peterson | 2022-23 · 0.63 PPG | — | Wisconsin-Eau Claire | 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.