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 | Dodge County High (W) | USHS-MN-W | 19 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2020-21 | Dodge County High (W) | USHS-MN-W | 16 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2021-22 | Dodge County High (W) | USHS-MN-W | 22 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2022-23 | Dodge County High (W) | USHS-MN-W | 27 | 4 | 3 | 7 | 0.259 | 0.0392 | 0.0391 |
| 2023-24 | Dodge County High (W) | USHS-MN-W | 28 | 13 | 9 | 22 | 0.786 | 0.1186 | 0.1133 |
| 2024-25 | Dodge County High (W) | USHS-MN-W | 29 | 12 | 5 | 17 | 0.586 | 0.0885 | 0.0811 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Hamline | MIAC | FR | 23 | 0 | 3 | 3 | 0.130 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Sierra Semmel | NE-Prep-Girls · 2012-13 · 0.26 PPG | 0.000 | Maine |
| Mallorie Iozzo | USHS-MN-W · 2012-13 · 0.50 PPG | 0.069 | Minnesota Duluth |
| Liz Trautz | USHS-MN-W · 2012-13 · 0.60 PPG | 0.094 | Colgate |
| Rebecca Lindblad | USHS-W · 2012-13 · 1.08 PPG | 0.057 | UConn |
| Madison Oelkers | USHS-MN-W · 2012-13 · 0.61 PPG | 0.257 | Minnesota State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Michelle Smith | 2023-24 · 1.44 PPG | 0.130 | St. Catherine | MIAC |
| Autumn Burt | 2023-24 · 0.50 PPG | — | St. Catherine | MIAC |
| Ella Thoreson | 2024-25 · 0.39 PPG | 0.500 | Wisconsin-Eau Claire | WIAC |
| Kayson Ruegge | 2022-23 · 0.38 PPG | 0.500 | SUNY Plattsburgh | SUNYAC |
| Eva Nelson | 2023-24 · 0.52 PPG | 0.393 | Gustavus Adolphus | 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.