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 | Westonka/SW Christian High | USHS-MN-W | 15 | 1 | 0 | 1 | 0.067 | 0.0101 | 0.0101 |
| 2020-21 | Westonka/SW Christian High | USHS-MN-W | 17 | 6 | 9 | 15 | 0.882 | 0.1332 | 0.1332 |
| 2021-22 | Westonka/SW Christian High | USHS-MN-W | 26 | 15 | 15 | 30 | 1.154 | 0.1742 | 0.1742 |
| 2022-23 | Westonka/SW Christian High | USHS-MN-W | 27 | 15 | 13 | 28 | 1.037 | 0.1566 | 0.1477 |
| 2023-24 | Westonka/SW Christian High | USHS-MN-W | 27 | 21 | 19 | 40 | 1.482 | 0.2237 | 0.2015 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Saint Benedict | MIAC | SO | 22 | 0 | 1 | 1 | 0.045 |
| 2024-25 | Saint Benedict | MIAC | FR | 7 | 0 | 2 | 2 | 0.286 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Natalie Snodgrass | USHS-MN-W · 2013-14 · 1.33 PPG | 1.000 | UConn |
| Sylvia Marolt | USHS-MN-W · 2013-14 · 1.35 PPG | 0.000 | Bemidji State |
| 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 |
| Casey Leveillee | NE-Prep-Girls · 2012-13 · 0.63 PPG | 0.265 | Vermont |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Avery Engbrecht | 2023-24 · 1.27 PPG | 0.370 | Wisconsin-Stevens Point | WIAC |
| Sara Lind | 2011-12 · 1.44 PPG | 0.333 | St. Olaf | MIAC |
| Gracyn Knowles | 2024-25 · 0.92 PPG | 0.548 | Wisconsin-River Falls | WIAC |
| Brittany Foster | 2017-18 · 1.22 PPG | — | William Smith | NEHC |
| Samantha Moore | 2010-11 · 2.20 PPG | 0.222 | Lindenwood | WCHA-W |
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.