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 | Minnetonka High (W) | USHS-MN-W | 23 | 1 | 10 | 11 | 0.478 | 0.0722 | 0.0722 |
| 2021-22 | Minnetonka High (W) | USHS-MN-W | 31 | 11 | 16 | 27 | 0.871 | 0.1315 | 0.1315 |
| 2022-23 | Minnetonka High (W) | USHS-MN-W | 30 | 8 | 17 | 25 | 0.833 | 0.1258 | 0.1258 |
| 2023-24 | Minnetonka High (W) | USHS-MN-W | 31 | 19 | 32 | 51 | 1.645 | 0.2484 | 0.2484 |
| 2024-25 | Minnetonka High (W) | USHS-MN-W | 28 | 13 | 25 | 38 | 1.357 | 0.2049 | 0.2049 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2026-27 | Providence | HEA-W | SO | 0 | 0 | 0 | 0 | 0.000 |
| 2025-26 | Providence | HEA-W | SO | 34 | 0 | 1 | 1 | 0.029 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Casey Leveillee | NE-Prep-Girls · 2012-13 · 0.63 PPG | 0.265 | Vermont |
| 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 |
| Sylvia Marolt | USHS-MN-W · 2013-14 · 1.35 PPG | 0.000 | Bemidji State |
| Katie Detert | USHS-W · 2013-14 · 2.50 PPG | 0.000 | St. Cloud State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Gracyn Knowles | 2024-25 · 0.92 PPG | 0.548 | Wisconsin-River Falls | WIAC |
| Krista Federow | 2012-13 · 0.65 PPG | 0.760 | William Smith | NEHC |
| Anna Carman | 2010-11 · 1.24 PPG | — | St. Catherine | MIAC |
| Sage Gerard | 2015-16 · 1.24 PPG | — | St. Scholastica | NCHA |
| Sarah Montrose | 2015-16 · 1.24 PPG | — | St. Catherine | 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.