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 |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Apple Valley High (women) | USHS-MN-W | 25 | 3 | 3 | 6 | 0.240 | 0.0362 | 0.0362 |
| 2019-20 | Apple Valley High (women) | USHS-MN-W | 25 | 15 | 14 | 29 | 1.160 | 0.1752 | 0.1752 |
| 2020-21 | Apple Valley High (women) | USHS-MN-W | 21 | 13 | 17 | 30 | 1.429 | 0.2157 | 0.2157 |
| 2021-22 | Apple Valley High (women) | USHS-MN-W | 27 | 20 | 24 | 44 | 1.630 | 0.2461 | 0.2461 |
| 2022-23 | Apple Valley High (women) | USHS-MN-W | 27 | 22 | 35 | 57 | 2.111 | 0.3188 | 0.3188 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Cloud State | WCHA-W | SO | 37 | 2 | 4 | 6 | 0.162 |
| 2024-25 | St. Cloud State | WCHA-W | FR | 36 | 2 | 2 | 4 | 0.111 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Anna Kilponen | SMLIIGA-W · 2012-13 · 0.79 PPG | 0.257 | North Dakota |
| Briana Mastel | NE-Prep-Girls · 2012-13 · 1.04 PPG | 0.258 | Harvard |
| Anna Wright | NE-Prep-Girls · 2012-13 · 0.86 PPG | 0.000 | Maine |
| Taylor Marchin | NE-Prep-Girls · 2012-13 · 0.77 PPG | 0.207 | Yale |
| Erin O'Connor | USHS-W · 2012-13 · 2.85 PPG | 0.758 | Cornell |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Lauren Ballinger | 2023-24 · 1.38 PPG | 0.556 | Wisconsin-Eau Claire | WIAC |
| Amanda Sergent | 2014-15 · 1.16 PPG | 0.667 | Wisconsin-Superior | WIAC |
| Laura Denchfield | 2017-18 · 1.16 PPG | 0.667 | St. Catherine | MIAC |
| Julianne Bradford | 2023-24 · 1.54 PPG | 0.500 | Wisconsin-Eau Claire | WIAC |
| Sara Ugalde | 2007-08 · 0.77 PPG | 1.000 | Middlebury | NESCAC |
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.