Based on 35 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 | 27 | 7 | 6 | 13 | 0.481 | 0.5631 | 0.5631 |
| 2020-21 | Djurgårdens IF | SDHL | 32 | 5 | 4 | 9 | 0.281 | 0.3289 | 0.3289 |
| 2021-22 | Djurgårdens IF | SDHL | 36 | 12 | 5 | 17 | 0.472 | 0.5522 | 0.5522 |
| 2022-23 | Djurgårdens IF | SDHL | 30 | 5 | 6 | 11 | 0.367 | 0.4289 | 0.4289 |
| 2023-24 | Djurgårdens IF | SDHL | 36 | 11 | 12 | 23 | 0.639 | 0.7472 | 0.7472 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Penn State | WCHA-W | SO | 33 | 11 | 10 | 21 | 0.636 |
| 2024-25 | Penn State | WCHA-W | FR | 38 | 7 | 4 | 11 | 0.289 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Caitrin Lonergan | NE-Prep-Girls · 2012-13 · 2.44 PPG | 0.892 | Boston College |
| Shayna Tomlinson | NE-Prep-Girls · 2012-13 · 2.08 PPG | 0.531 | Rensselaer |
| Jessie Aney | USHS-MN-W · 2013-14 · 4.36 PPG | 0.267 | UConn |
| Brooke Avery | NE-Prep-Girls · 2012-13 · 2.00 PPG | 0.062 | New Hampshire |
| Nicole Schammel | USHS-MN-W · 2012-13 · 4.16 PPG | 0.611 | Minnesota State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Michaela O'Connor | 2016-17 · 4.25 PPG | 0.333 | Williams | NESCAC |
| Julia Masotta | 2017-18 · 1.16 PPG | 1.222 | Norwich | NEHC |
| Lauren Smith | 2014-15 · 2.43 PPG | 0.577 | Wisconsin-Stevens Point | WIAC |
| Courtney Moriarty | 2012-13 · 1.11 PPG | 1.259 | SUNY Plattsburgh | SUNYAC |
| Celia Midtbo | 2022-23 · 1.73 PPG | 0.840 | Saint Mary's (MN) | MIAC |
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.