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 | Central Wisconsin Storm | USHS-W | 24 | 2 | 3 | 5 | 0.208 | 0.0177 | 0.0177 |
| 2020-21 | Central Wisconsin Storm | USHS-W | 16 | 4 | 5 | 9 | 0.562 | 0.0478 | 0.0478 |
| 2021-22 | Central Wisconsin Storm | USHS-W | 23 | 9 | 19 | 28 | 1.217 | 0.1034 | 0.1034 |
| 2022-23 | Central Wisconsin Storm | USHS-W | 24 | 23 | 19 | 42 | 1.750 | 0.1486 | 0.1486 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Milwaukee School of Engineering | WIAC | JR | 27 | 15 | 12 | 27 | 1.000 |
| 2024-25 | Milwaukee School of Engineering | WIAC | SO | 22 | 4 | 4 | 8 | 0.364 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Ivy Dynek | USHS-W · 2013-14 · 1.78 PPG | 0.000 | St. Cloud State |
| Katie Detert | USHS-W · 2012-13 · 1.80 PPG | 0.000 | St. Cloud State |
| Molly Strabley | NE-Prep-Girls · 2012-13 · 0.48 PPG | 0.103 | Princeton |
| Carly Bullock | USHS-MN-W · 2012-13 · 0.92 PPG | 0.812 | Princeton |
| Emily Antony | USHS-MN-W · 2012-13 · 0.92 PPG | 0.444 | Minnesota State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Malia Mckinnon | 2022-23 · 1.19 PPG | 0.346 | Bethel | MIAC |
| Sophie Smith | 2024-25 · 1.04 PPG | 0.393 | Lake Forest | NCHA |
| Greer Hardacre | 2023-24 · 1.48 PPG | 0.286 | Saint Benedict | MIAC |
| JennaRae Bateman | 2021-22 · 0.92 PPG | 0.444 | Worcester State | MASCAC |
| Kora Torkelson | 2011-12 · 0.64 PPG | 0.643 | Wisconsin-River Falls | WIAC |
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.