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 |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Dodge County High (W) | USHS-MN-W | 19 | 0 | 1 | 1 | 0.053 | 0.0079 | 0.0079 |
| 2021-22 | Dodge County High (W) | USHS-MN-W | 24 | 10 | 16 | 26 | 1.083 | 0.1636 | 0.1636 |
| 2022-23 | Dodge County High (W) | USHS-MN-W | 27 | 6 | 20 | 26 | 0.963 | 0.1454 | 0.1439 |
| 2023-24 | Dodge County High (W) | USHS-MN-W | 28 | 16 | 22 | 38 | 1.357 | 0.2049 | 0.1941 |
| 2024-25 | Dodge County High (W) | USHS-MN-W | 29 | 3 | 18 | 21 | 0.724 | 0.1093 | 0.0994 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Saint Mary's | MIAC | FR | 15 | 0 | 0 | 0 | 0.000 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| 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 |
| Jacqueline Kaasa | USHS-MN-W · 2012-13 · 0.64 PPG | 0.143 | Bemidji State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Jorja Jusczak | 2023-24 · 1.00 PPG | 0.240 | Saint Benedict | MIAC |
| Macy Janssen | 2022-23 · 0.74 PPG | 0.333 | Gustavus Adolphus | MIAC |
| Olivia Patnode | 2022-23 · 0.63 PPG | — | Saint Mary's | MIAC |
| Lucy Peterson | 2022-23 · 0.63 PPG | — | Wisconsin-Eau Claire | WIAC |
| Maddy Skogman | 2023-24 · 0.90 PPG | 0.280 | Concordia | 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.