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 | Holy Family Catholic (women) | USHS-MN-W | 23 | 2 | 2 | 4 | 0.174 | 0.0263 | 0.0263 |
| 2020-21 | Holy Family Catholic (women) | USHS-MN-W | 20 | 4 | 8 | 12 | 0.600 | 0.0906 | 0.0906 |
| 2021-22 | Holy Family Catholic (women) | USHS-MN-W | 27 | 6 | 9 | 15 | 0.556 | 0.0839 | 0.0839 |
| 2022-23 | Holy Family Catholic (women) | USHS-MN-W | 28 | 25 | 24 | 49 | 1.750 | 0.2642 | 0.2642 |
| 2023-24 | — | 16U-AAA-W | 6 | 1 | 1 | 2 | 0.333 | 0.1191 | 0.1191 |
| 2024-25 | Holy Family Catholic (women) | USHS-MN-W | 31 | 23 | 29 | 52 | 1.677 | 0.2533 | 0.2533 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | New Hampshire | HEA-W | FR | 33 | 9 | 14 | 23 | 0.697 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Caroline Murphy | NE-Prep-Girls · 2012-13 · 0.78 PPG | 0.167 | Yale |
| Charly Dalhquist | USHS-MN-W · 2012-13 · 1.68 PPG | 0.241 | North Dakota |
| Jordan McLaughlin | USHS-MN-W · 2012-13 · 1.68 PPG | 0.294 | Minnesota State |
| Christi Vetter | USHS-MN-W · 2012-13 · 1.67 PPG | 0.000 | Penn State |
| Emily Gunderson | USHS-MN-W · 2012-13 · 1.71 PPG | 0.171 | Lindenwood |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Sara Taffe | 2012-13 · 0.92 PPG | 0.667 | Hamilton | NESCAC |
| Taylor Holm | 2021-22 · 0.61 PPG | 1.000 | Post | CHA-W |
| Sierra Hanowski | 2012-13 · 1.64 PPG | 0.375 | St. Scholastica | NCHA |
| Samantha Young | 2013-14 · 1.35 PPG | 0.455 | Wisconsin-River Falls | WIAC |
| Addie Fee | 2024-25 · 1.27 PPG | 0.480 | Wisconsin-Superior | 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.