Based on 36 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 |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Team Kuortane | SMLIIGA-W | 28 | 7 | 10 | 17 | 0.607 | 0.2361 | 0.2361 |
| 2016-17 | Team Kuortane | SMLIIGA-W | 25 | 13 | 10 | 23 | 0.920 | 0.3578 | 0.3578 |
| 2017-18 | Team Kuortane | SMLIIGA-W | 30 | 23 | 16 | 39 | 1.300 | 0.5056 | 0.5056 |
| 2023-24 | Brynäs IF | SDHL | 36 | 15 | 23 | 38 | 1.056 | 1.2345 | 1.1565 |
| 2024-25 | Brynäs IF | SDHL | 34 | 18 | 14 | 32 | 0.941 | 1.1007 | 0.9854 |
| 2025-26 | Brynäs IF | SDHL | 36 | 11 | 19 | 30 | 0.833 | 0.9745 | 0.8352 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2022-23 | St. Cloud State | WCHA-W | GR | 37 | 14 | 14 | 28 | 0.757 |
| 2021-22 | St. Cloud State | WCHA-W | SR | 18 | 7 | 8 | 15 | 0.833 |
| 2020-21 | St. Cloud State | WCHA-W | JR | 19 | 7 | 5 | 12 | 0.632 |
| 2019-20 | St. Cloud State | WCHA-W | SO | 30 | 4 | 9 | 13 | 0.433 |
| 2018-19 | St. Cloud State | WCHA-W | FR | 35 | 8 | 13 | 21 | 0.600 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Caitrin Lonergan | NE-Prep-Girls · 2012-13 · 2.44 PPG | 0.892 | Boston College |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Mikaila Rubin | 2015-16 · 2.42 PPG | 0.654 | Nazareth | UCHC |
| Emma Crocker | 2015-16 · 2.06 PPG | 0.769 | Elmira | UCHC |
| Molly Garin | 2015-16 · 1.24 PPG | 1.267 | Hamline | MIAC |
| Ivy Boric | 2018-19 · 1.21 PPG | 1.296 | SUNY Plattsburgh | SUNYAC |
| Maddie Evangelous | 2014-15 · 1.80 PPG | 0.885 | Elmira | UCHC |
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.