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 | Blaine High | USHS-MN-W | 25 | 3 | 3 | 6 | 0.240 | 0.0362 | 0.0362 |
| 2020-21 | Blaine High | USHS-MN-W | 19 | 6 | 6 | 12 | 0.632 | 0.0954 | 0.0954 |
| 2021-22 | Blaine High | USHS-MN-W | 27 | 10 | 10 | 20 | 0.741 | 0.1118 | 0.1118 |
| 2022-23 | Blaine High | USHS-MN-W | 27 | 9 | 11 | 20 | 0.741 | 0.1118 | 0.1001 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Gustavus Adolphus | MIAC | JR | 28 | 1 | 0 | 1 | 0.036 |
| 2024-25 | Gustavus Adolphus | MIAC | SO | 27 | 4 | 4 | 8 | 0.296 |
| 2023-24 | Gustavus Adolphus | MIAC | FR | 24 | 4 | 4 | 8 | 0.333 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Kippin Keller | USHS-MN-W · 2012-13 · 0.68 PPG | 0.056 | Minnesota |
| Mac Johnson | USHS-MN-W · 2012-13 · 0.64 PPG | 0.125 | St. Cloud State |
| Abby Halluska | USHS-MN-W · 2012-13 · 0.64 PPG | 0.314 | Bemidji State |
| Rebecca Freiburger | USHS-MN-W · 2012-13 · 0.64 PPG | 0.278 | Ohio State |
| Sophia Kunin | USHS-MN-W · 2012-13 · 0.64 PPG | 0.425 | Wisconsin |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Jorja Jusczak | 2023-24 · 1.00 PPG | 0.240 | Saint Benedict | MIAC |
| Maddy Skogman | 2023-24 · 0.90 PPG | 0.280 | Concordia | MIAC |
| Lucy Peterson | 2022-23 · 0.63 PPG | — | Wisconsin-Eau Claire | WIAC |
| Jess Eykyn | 2023-24 · 1.88 PPG | 0.136 | Wisconsin-Eau Claire | WIAC |
| Olivia Patnode | 2022-23 · 0.63 PPG | — | Saint Mary's | MIAC |
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.