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 |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Shattuck St. Mary's 16U | NE-Prep-Girls | 31 | 19 | 15 | 34 | 1.097 | 0.3562 | 0.3562 |
| 2021-22 | Shattuck St. Mary's Prep | NE-Prep-Girls | 60 | 46 | 23 | 69 | 1.150 | 0.3735 | 0.3863 |
| 2022-23 | Shattuck St. Mary's Prep | NE-Prep-Girls | 48 | 39 | 38 | 77 | 1.604 | 0.5210 | 0.5146 |
| 2023-24 | Shattuck St. Mary's Prep | NE-Prep-Girls | 54 | 53 | 26 | 79 | 1.463 | 0.4752 | 0.4402 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wisconsin | WCHA-W | SO | 41 | 13 | 15 | 28 | 0.683 |
| 2024-25 | Wisconsin | WCHA-W | FR | 36 | 13 | 5 | 18 | 0.500 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Reagan Haley | USHS-MN-W · 2012-13 · 2.92 PPG | 0.108 | Minnesota Duluth |
| Haley Mack | USHS-MN-W · 2013-14 · 2.88 PPG | 0.371 | Bemidji State |
| Dana Rasmussen | USHS-MN-W · 2013-14 · 2.96 PPG | 0.167 | Ohio State |
| Phoebe Staenz | NE-Prep-Girls · 2012-13 · 1.38 PPG | 0.680 | Yale |
| Bridget Carey | NE-Prep-Girls · 2012-13 · 1.38 PPG | 0.357 | Brown |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Kalle Reed | 2022-23 · 1.79 PPG | 0.500 | Gustavus Adolphus | MIAC |
| Mikayla Goodin | 2013-14 · 1.42 PPG | 0.667 | Wisconsin-Superior | WIAC |
| Julia Barrett | 2014-15 · 1.71 PPG | 0.536 | Adrian | NCHA |
| Kora Torkelson | 2015-16 · 1.43 PPG | 0.643 | Wisconsin-River Falls | WIAC |
| Nora Carstensen | 2021-22 · 1.54 PPG | 0.593 | Wisconsin-Eau Claire | 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.