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 | Rogers High | USHS-MN-W | 23 | 3 | 3 | 6 | 0.261 | 0.0394 | 0.0394 |
| 2020-21 | Rogers High | USHS-MN-W | 15 | 7 | 6 | 13 | 0.867 | 0.1309 | 0.1309 |
| 2021-22 | Rogers High | USHS-MN-W | 27 | 16 | 16 | 32 | 1.185 | 0.1790 | 0.1790 |
| 2022-23 | Rogers High | USHS-MN-W | 26 | 16 | 16 | 32 | 1.231 | 0.1859 | 0.1664 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wisconsin-Eau Claire | WIAC | JR | 26 | 5 | 4 | 9 | 0.346 |
| 2024-25 | Wisconsin-Eau Claire | WIAC | SO | 26 | 9 | 4 | 13 | 0.500 |
| 2023-24 | Wisconsin-Eau Claire | WIAC | FR | 23 | 1 | 2 | 3 | 0.130 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Liz Schepers | USHS-MN-W · 2012-13 · 1.12 PPG | 0.410 | Ohio State |
| Paige Beebe | USHS-MN-W · 2013-14 · 1.12 PPG | 0.472 | Bemidji State |
| Sofia Poinar | USHS-MN-W · 2013-14 · 1.12 PPG | 0.028 | Minnesota State |
| Mallorie Iozzo | USHS-MN-W · 2013-14 · 1.12 PPG | 0.069 | Minnesota Duluth |
| Ivy Dynek | USHS-W · 2012-13 · 1.92 PPG | 0.000 | St. Cloud State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Tala Gallaga | 2010-11 · 1.00 PPG | — | St. Olaf | 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 |
| Lula Swanson | 2022-23 · 1.26 PPG | 0.333 | Wisconsin-Eau Claire | WIAC |
| McKayla Romano | 2024-25 · 0.62 PPG | 0.680 | Lebanon Valley | MAC |
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.