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 |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Team Wisconsin 16U AAA | 16U-AAA-W | 34 | 5 | 8 | 13 | 0.382 | 0.1228 | 0.1228 |
| 2022-23 | Team Wisconsin 16U AAA | 16U-AAA-W | 25 | 5 | 7 | 12 | 0.480 | 0.1541 | 0.1541 |
| 2023-24 | Madison Metro High | USHS-W | 24 | 35 | 15 | 50 | 2.083 | 0.1769 | 0.1769 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Norbert | NCHA | SO | 29 | 2 | 9 | 11 | 0.379 |
| 2024-25 | St. Norbert | NCHA | FR | 29 | 4 | 2 | 6 | 0.207 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Gabbie Hughes | USHS-MN-W · 2013-14 · 1.16 PPG | 1.121 | Minnesota Duluth |
| Laura Anderson | USHS-MN-W · 2013-14 · 1.16 PPG | 0.290 | Yale |
| Natalie Snodgrass | USHS-MN-W · 2012-13 · 1.20 PPG | 1.000 | UConn |
| Kaylee Druk | USHS-MN-W · 2012-13 · 1.20 PPG | 0.000 | Syracuse |
| Tianna Gunderson | USHS-MN-W · 2013-14 · 1.20 PPG | 0.069 | Minnesota |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Gracyn Knowles | 2024-25 · 0.92 PPG | 0.548 | Wisconsin-River Falls | WIAC |
| Avery Engbrecht | 2023-24 · 1.27 PPG | 0.370 | Wisconsin-Stevens Point | WIAC |
| Samantha Moore | 2010-11 · 2.20 PPG | 0.222 | Lindenwood | WCHA-W |
| Brittany Foster | 2017-18 · 1.22 PPG | — | William Smith | NEHC |
| Emme Nelson | 2017-18 · 0.73 PPG | 0.667 | Hamline | 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.