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 |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | St. Cloud Crush | USHS-MN-W | 25 | 10 | 14 | 24 | 0.960 | 0.1450 | 0.1450 |
| 2019-20 | St. Cloud Crush | USHS-MN-W | 25 | 18 | 12 | 30 | 1.200 | 0.1812 | 0.1812 |
| 2020-21 | St. Cloud Crush | USHS-MN-W | 18 | 15 | 9 | 24 | 1.333 | 0.2013 | 0.2013 |
| 2021-22 | St. Cloud Crush | USHS-MN-W | 26 | 20 | 15 | 35 | 1.346 | 0.2033 | 0.2033 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wisconsin-River Falls | WIAC | SR | 27 | 10 | 11 | 21 | 0.778 |
| 2024-25 | Wisconsin-River Falls | WIAC | JR | 26 | 20 | 6 | 26 | 1.000 |
| 2023-24 | Wisconsin-River Falls | WIAC | SO | 30 | 6 | 5 | 11 | 0.367 |
| 2022-23 | Wisconsin-River Falls | WIAC | FR | 23 | 3 | 8 | 11 | 0.478 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| 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 |
| Natalie Snodgrass | USHS-MN-W · 2013-14 · 1.33 PPG | 1.000 | UConn |
| 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 |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Gracyn Knowles | 2024-25 · 0.92 PPG | 0.548 | Wisconsin-River Falls | WIAC |
| Kelsey Ryan | 2016-17 · 1.83 PPG | 0.269 | UMass Boston | MASCAC |
| Amanda Flemming | 2013-14 · 0.88 PPG | 0.560 | Concordia | MIAC |
| Payton Behr | 2021-22 · 2.21 PPG | 0.222 | Augsburg | MIAC |
| Lauren Greer | 2008-09 · 1.23 PPG | — | Middlebury | NESCAC |
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.