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 | Mankato East High (W) | USHS-MN-W | 23 | 4 | 3 | 7 | 0.304 | 0.0459 | 0.0459 |
| 2020-21 | Mankato East High (W) | USHS-MN-W | 19 | 7 | 7 | 14 | 0.737 | 0.1113 | 0.1113 |
| 2021-22 | Mankato East High (W) | USHS-MN-W | 29 | 29 | 23 | 52 | 1.793 | 0.2708 | 0.2708 |
| 2022-23 | Mankato East High (W) | USHS-MN-W | 29 | 21 | 15 | 36 | 1.241 | 0.1875 | 0.1765 |
| 2023-24 | Mankato East High (W) | USHS-MN-W | 26 | 31 | 18 | 49 | 1.885 | 0.2846 | 0.2559 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wisconsin-Eau Claire | WIAC | SO | 8 | 0 | 1 | 1 | 0.125 |
| 2024-25 | Wisconsin-Eau Claire | WIAC | FR | 22 | 1 | 2 | 3 | 0.136 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Emily Gunderson | USHS-MN-W · 2012-13 · 1.71 PPG | 0.171 | Lindenwood |
| 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 |
| Caroline Murphy | NE-Prep-Girls · 2012-13 · 0.78 PPG | 0.167 | Yale |
| Christi Vetter | USHS-MN-W · 2012-13 · 1.67 PPG | 0.000 | Penn State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Rylan Kissel | 2024-25 · 1.11 PPG | 0.577 | Bethel | MIAC |
| Addie Fee | 2024-25 · 1.27 PPG | 0.480 | Wisconsin-Superior | WIAC |
| Emily Heid | 2013-14 · 1.00 PPG | 0.593 | Wisconsin-Superior | WIAC |
| Lauren Greer | 2007-08 · 1.55 PPG | — | Middlebury | NESCAC |
| Nikki Logergren | 2011-12 · 1.24 PPG | 0.500 | St. Scholastica | NCHA |
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.