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 | South St. Paul High (W) | USHS-MN-W | 25 | 1 | 4 | 5 | 0.200 | 0.0302 | 0.0302 |
| 2020-21 | South St. Paul High (W) | USHS-MN-W | 20 | 1 | 8 | 9 | 0.450 | 0.0679 | 0.0679 |
| 2021-22 | South St. Paul High (W) | USHS-MN-W | 30 | 7 | 11 | 18 | 0.600 | 0.0906 | 0.0906 |
| 2022-23 | South St. Paul High (W) | USHS-MN-W | 30 | 22 | 31 | 53 | 1.767 | 0.2668 | 0.2729 |
| 2023-24 | South St. Paul High (W) | USHS-MN-W | 27 | 15 | 31 | 46 | 1.704 | 0.2573 | 0.2524 |
| 2024-25 | South St. Paul High (W) | USHS-MN-W | 27 | 9 | 30 | 39 | 1.444 | 0.2181 | 0.2056 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Saint Benedict | MIAC | FR | 28 | 5 | 6 | 11 | 0.393 |
| 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 |
| Natalie Snodgrass | USHS-MN-W · 2013-14 · 1.33 PPG | 1.000 | UConn |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Aubrey Hansen | 2024-25 · 1.20 PPG | — | Gustavus Adolphus | MIAC |
| Sara Lind | 2011-12 · 1.44 PPG | 0.333 | St. Olaf | MIAC |
| Alana Laser | 2024-25 · 1.13 PPG | 0.417 | Albertus Magnus | UCHC |
| Ella Konrad | 2023-24 · 0.70 PPG | 0.700 | Nazareth | UCHC |
| Addison Moos | 2024-25 · 0.68 PPG | 0.680 | 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.