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 | Owatonna High (W) | USHS-MN-W | 21 | 8 | 5 | 13 | 0.619 | 0.0935 | 0.0935 |
| 2020-21 | Owatonna High (W) | USHS-MN-W | 20 | 20 | 17 | 37 | 1.850 | 0.2793 | 0.2793 |
| 2021-22 | Owatonna High (W) | USHS-MN-W | 27 | 14 | 13 | 27 | 1.000 | 0.1510 | 0.1510 |
| 2022-23 | Owatonna High (W) | USHS-MN-W | 26 | 21 | 26 | 47 | 1.808 | 0.2730 | 0.2634 |
| 2023-24 | Owatonna High (W) | USHS-MN-W | 27 | 18 | 22 | 40 | 1.482 | 0.2237 | 0.2065 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Catherine | MIAC | SO | 25 | 10 | 3 | 13 | 0.520 |
| 2024-25 | St. Catherine | MIAC | FR | 25 | 3 | 7 | 10 | 0.400 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Sena Hanson | USHS-MN-W · 2012-13 · 1.36 PPG | 0.630 | Brown |
| Savannah Quandt | USHS-MN-W · 2012-13 · 1.36 PPG | 0.111 | Minnesota |
| Casey Leveillee | NE-Prep-Girls · 2012-13 · 0.63 PPG | 0.265 | Vermont |
| Sylvia Marolt | USHS-MN-W · 2013-14 · 1.35 PPG | 0.000 | Bemidji State |
| Mariah Gardner | USHS-MN-W · 2012-13 · 1.40 PPG | 0.071 | Minnesota State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Sara Lind | 2011-12 · 1.44 PPG | 0.333 | St. Olaf | MIAC |
| Aubrey Hansen | 2024-25 · 1.20 PPG | — | Gustavus Adolphus | MIAC |
| Ella Konrad | 2024-25 · 0.74 PPG | 0.700 | Nazareth | UCHC |
| McKenzie Keller | 2022-23 · 2.21 PPG | 0.238 | Wisconsin-Eau Claire | WIAC |
| Gracyn Knowles | 2024-25 · 0.92 PPG | 0.548 | Wisconsin-River Falls | 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.