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 | Burnsville High (women) | USHS-MN-W | 17 | 1 | 0 | 1 | 0.059 | 0.0089 | 0.0089 |
| 2020-21 | Burnsville High (women) | USHS-MN-W | 20 | 6 | 4 | 10 | 0.500 | 0.0755 | 0.0755 |
| 2021-22 | Burnsville High (women) | USHS-MN-W | 29 | 21 | 14 | 35 | 1.207 | 0.1822 | 0.1822 |
| 2022-23 | Metro-South Phoenix | USHS-MN-W | 23 | 24 | 10 | 34 | 1.478 | 0.2232 | 0.2013 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wisconsin-Eau Claire | WIAC | JR | 28 | 14 | 11 | 25 | 0.893 |
| 2024-25 | Wisconsin-Eau Claire | WIAC | SO | 28 | 11 | 12 | 23 | 0.821 |
| 2023-24 | Wisconsin-Eau Claire | WIAC | FR | 27 | 3 | 2 | 5 | 0.185 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Natalie Snodgrass | USHS-MN-W · 2013-14 · 1.33 PPG | 1.000 | UConn |
| Sydney Brodt | USHS-MN-W · 2012-13 · 1.32 PPG | 0.600 | Minnesota Duluth |
| Jackie Pieper | USHS-MN-W · 2013-14 · 1.32 PPG | 0.324 | Merrimack |
| Sylvia Marolt | USHS-MN-W · 2013-14 · 1.35 PPG | 0.000 | Bemidji State |
| Casey Leveillee | NE-Prep-Girls · 2012-13 · 0.63 PPG | 0.265 | Vermont |
| 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 |
| Olivia Martin | 2024-25 · 0.92 PPG | 0.500 | Bethel | MIAC |
| Gracyn Schipper | 2024-25 · 1.38 PPG | 0.333 | Wisconsin-Eau Claire | WIAC |
| Ella Konrad | 2024-25 · 0.74 PPG | 0.700 | Nazareth | UCHC |
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.