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 | Roseau High (W) | USHS-MN-W | 24 | 8 | 8 | 16 | 0.667 | 0.1007 | 0.1007 |
| 2019-20 | Roseau High (W) | USHS-MN-W | 25 | 16 | 5 | 21 | 0.840 | 0.1268 | 0.1268 |
| 2020-21 | Roseau High (W) | USHS-MN-W | 21 | 23 | 26 | 49 | 2.333 | 0.3523 | 0.3523 |
| 2021-22 | Roseau High (W) | USHS-MN-W | 27 | 28 | 8 | 36 | 1.333 | 0.2013 | 0.2013 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Concordia | MIAC | SR | 25 | 7 | 10 | 17 | 0.680 |
| 2024-25 | Concordia | MIAC | JR | 25 | 6 | 7 | 13 | 0.520 |
| 2023-24 | Franklin Pierce | NEWHA | SO | 32 | 3 | 4 | 7 | 0.219 |
| 2022-23 | Franklin Pierce | NEWHA | FR | 34 | 1 | 0 | 1 | 0.029 |
| 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 |
|---|---|---|---|---|
| Avery Engbrecht | 2023-24 · 1.27 PPG | 0.370 | Wisconsin-Stevens Point | WIAC |
| Gracyn Knowles | 2024-25 · 0.92 PPG | 0.548 | Wisconsin-River Falls | WIAC |
| Brittany Foster | 2017-18 · 1.22 PPG | — | William Smith | NEHC |
| Emme Nelson | 2017-18 · 0.73 PPG | 0.667 | Hamline | MIAC |
| Natasha Steinle | 2015-16 · 0.67 PPG | 0.731 | Buffalo State | SUNYAC |
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.