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 |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Elk River/Zimmerman (women) | USHS-MN-W | 24 | 6 | 9 | 15 | 0.625 | 0.0944 | 0.0944 |
| 2015-16 | Elk River/Zimmerman (women) | USHS-MN-W | 25 | 5 | 11 | 16 | 0.640 | 0.0966 | 0.0966 |
| 2016-17 | Elk River/Zimmerman (women) | USHS-MN-W | 25 | 13 | 12 | 25 | 1.000 | 0.1510 | 0.1510 |
| 2017-18 | Elk River/Zimmerman (women) | USHS-MN-W | 25 | 14 | 16 | 30 | 1.200 | 0.1812 | 0.1812 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2021-22 | Wisconsin-River Falls | WIAC | SR | 23 | 3 | 8 | 11 | 0.478 |
| 2020-21 | Wisconsin-River Falls | WIAC | JR | 12 | 4 | 3 | 7 | 0.583 |
| 2019-20 | Wisconsin-River Falls | WIAC | SO | 29 | 6 | 7 | 13 | 0.448 |
| 2018-19 | Wisconsin-River Falls | WIAC | FR | 27 | 9 | 8 | 17 | 0.630 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| 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 |
| Presley Norby | USHS-MN-W · 2013-14 · 1.20 PPG | 0.525 | Wisconsin |
| Mac Johnson | USHS-MN-W · 2013-14 · 1.22 PPG | 0.125 | St. Cloud State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Daelyn Williams | 2024-25 · 0.80 PPG | 0.545 | Salem State | MASCAC |
| Molly Pohlkamp | 2023-24 · 0.48 PPG | 0.920 | Wisconsin-Stevens Point | WIAC |
| Greer Hardacre | 2023-24 · 1.48 PPG | 0.286 | Saint Benedict | MIAC |
| Kaiya Sandy | 2021-22 · 0.77 PPG | 0.571 | Hamline | MIAC |
| Drew Kopek | 2022-23 · 1.04 PPG | 0.417 | SUNY Cortland | 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.