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 | Blake School (W) | USHS-MN-W | 25 | 1 | 11 | 12 | 0.480 | 0.0725 | 0.0725 |
| 2019-20 | Blake School (W) | USHS-MN-W | 23 | 9 | 8 | 17 | 0.739 | 0.1116 | 0.1116 |
| 2020-21 | Blake School (W) | USHS-MN-W | 20 | 13 | 13 | 26 | 1.300 | 0.1963 | 0.1963 |
| 2021-22 | Blake School (W) | USHS-MN-W | 26 | 26 | 24 | 50 | 1.923 | 0.2904 | 0.2904 |
| 2022-23 | Blake School (W) | USHS-MN-W | 27 | 32 | 36 | 68 | 2.518 | 0.3803 | 0.3803 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Yale | ECAC-W | SO | 9 | 0 | 1 | 1 | 0.111 |
| 2023-24 | Yale | ECAC-W | FR | 23 | 2 | 4 | 6 | 0.261 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Katie Rooney | USHS-MN-W · 2012-13 · 2.52 PPG | 0.219 | RPI |
| Darby Dodds | USHS-MN-W · 2013-14 · 2.52 PPG | 0.000 | Lindenwood |
| Corbin Boyd | USHS-MN-W · 2013-14 · 2.42 PPG | 0.269 | Minnesota State |
| Dana Rasmussen | USHS-MN-W · 2012-13 · 2.62 PPG | 0.167 | Ohio State |
| Lauren Hespenheide | USHS-MN-W · 2012-13 · 2.40 PPG | 0.257 | St. Cloud State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Kora Torkelson | 2015-16 · 1.43 PPG | 0.643 | Wisconsin-River Falls | WIAC |
| Abbey Hardwick | 2017-18 · 1.36 PPG | 0.680 | Concordia | MIAC |
| Makenna Aure | 2021-22 · 1.00 PPG | 0.926 | Wisconsin-River Falls | WIAC |
| Julia Barrett | 2014-15 · 1.71 PPG | 0.536 | Adrian | NCHA |
| 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.