No valid junior or college data
Based on 26 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 |
|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Linköping HC | SDHL | 16 | 0 | 1 | 1 | 0.062 | 0.0722 | 0.0722 |
| 2013-14 | Linköping HC | SDHL | 28 | 0 | 2 | 2 | 0.071 | 0.0825 | 0.0825 |
| 2014-15 | Linköping HC | SDHL | 27 | 4 | 7 | 11 | 0.407 | 0.4705 | 0.4705 |
| 2015-16 | Brynäs IF | SDHL | 34 | 2 | 4 | 6 | 0.176 | 0.2039 | 0.2039 |
| 2016-17 | Brynäs IF | SDHL | 32 | 5 | 8 | 13 | 0.406 | 0.4692 | 0.4692 |
| 2017-18 | Djurgårdens IF | SDHL | 28 | 3 | 7 | 10 | 0.357 | 0.4125 | 0.4125 |
| 2021-22 | Linköping HC | SDHL | 33 | 6 | 19 | 25 | 0.758 | 0.8750 | 0.8750 |
| 2022-23 | Linköping HC | SDHL | 23 | 4 | 10 | 14 | 0.609 | 0.7030 | 0.6773 |
| 2023-24 | Linköping HC | SDHL | 8 | 1 | 1 | 2 | 0.250 | 0.2888 | 0.2572 |
| 2024-25 | HV71 | SDHL | 13 | 0 | 4 | 4 | 0.308 | 0.3554 | 0.3018 |
| 2025-26 | SDE HF | SDHL | 14 | 5 | 2 | 7 | 0.500 | 0.5775 | 0.4682 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2020-21 | Penn State | WCHA-W | — | 21 | 4 | 7 | 11 | 0.524 |
| 2019-20 | Penn State | WCHA-W | — | 12 | 0 | 2 | 2 | 0.167 |
| 2018-19 | Penn State | WCHA-W | — | 35 | 5 | 7 | 12 | 0.343 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| 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 |
| Lauren Kelly | NE-Prep-Girls · 2012-13 · 0.73 PPG | 0.208 | Dartmouth |
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.