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 | Leksands IF | SDHL | 28 | 0 | 3 | 3 | 0.107 | 0.1253 | 0.1253 |
| 2020-21 | Leksands IF | SDHL | 34 | 1 | 4 | 5 | 0.147 | 0.1720 | 0.1720 |
| 2021-22 | Leksands IF | SDHL | 26 | 0 | 2 | 2 | 0.077 | 0.0899 | 0.0899 |
| 2022-23 | Leksands IF | SDHL | 31 | 0 | 6 | 6 | 0.194 | 0.2263 | 0.2263 |
| 2023-24 | Frölunda HC | SDHL | 36 | 3 | 12 | 15 | 0.417 | 0.4873 | 0.4873 |
| 2025-26 | Frölunda HC | SDHL | 20 | 1 | 6 | 7 | 0.350 | 0.4093 | 0.4093 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Northeastern | HEA-W | SO | 6 | 1 | 4 | 5 | 0.833 |
| 2024-25 | Northeastern | HEA-W | FR | 35 | 4 | 16 | 20 | 0.571 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Briana Mastel | NE-Prep-Girls · 2012-13 · 1.04 PPG | 0.258 | Harvard |
| Anna Kilponen | SMLIIGA-W · 2012-13 · 0.79 PPG | 0.257 | North Dakota |
| Anna Wright | NE-Prep-Girls · 2012-13 · 0.86 PPG | 0.000 | Maine |
| Megan Wolfe | USHS-MN-W · 2012-13 · 2.40 PPG | 0.725 | Minnesota |
| Paige Haley | USHS-MN-W · 2012-13 · 2.40 PPG | 0.083 | Minnesota |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Lauren Ballinger | 2023-24 · 1.38 PPG | 0.556 | Wisconsin-Eau Claire | WIAC |
| Laura Denchfield | 2017-18 · 1.16 PPG | 0.667 | St. Catherine | MIAC |
| Jenna Hoops | 2016-17 · 0.96 PPG | 0.808 | Wisconsin-Superior | WIAC |
| Amanda Sergent | 2014-15 · 1.16 PPG | 0.667 | Wisconsin-Superior | WIAC |
| Rachel Anderson | 2015-16 · 1.28 PPG | 0.607 | 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.