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 |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Washington Pride 16U AAA | JWHL-U16 | 21 | 1 | 3 | 4 | 0.191 | 0.0429 | 0.0452 |
| 2018-19 | Washington Pride 16U AAA | JWHL-U16 | 24 | 9 | 3 | 12 | 0.500 | 0.1126 | 0.1142 |
| 2019-20 | Washington Pride 19U AAA | JWHL-U19 | 21 | 11 | 8 | 19 | 0.905 | 0.3512 | 0.3512 |
| 2021-22 | Washington Pride 19U AAA | 19U-AAA-W | 61 | 47 | 50 | 97 | 1.590 | 0.5062 | 0.4908 |
| 2022-23 | Oakville Jr. Hornets | OWHL-U22 | 39 | 22 | 18 | 40 | 1.026 | 0.3592 | 0.3244 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Yale | ECAC-W | SR | 36 | 8 | 7 | 15 | 0.417 |
| 2024-25 | Yale | ECAC-W | JR | 27 | 6 | 5 | 11 | 0.407 |
| 2023-24 | Yale | ECAC-W | SO | 25 | 0 | 6 | 6 | 0.240 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Taylor Williamson | USHS-MN-W · 2013-14 · 2.14 PPG | 0.395 | Minnesota |
| Haley Mack | USHS-MN-W · 2012-13 · 2.16 PPG | 0.371 | Bemidji State |
| Emily Bergland | USHS-MN-W · 2012-13 · 2.16 PPG | 0.114 | Bemidji State |
| Corbin Boyd | USHS-MN-W · 2012-13 · 2.16 PPG | 0.269 | Minnesota State |
| Brittany Wheeler | USHS-MN-W · 2013-14 · 2.16 PPG | 0.111 | Yale |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Kristin Chivers | 2011-12 · 1.36 PPG | 0.862 | Elmira | UCHC |
| Sarah Markey | 2009-10 · 1.52 PPG | 0.769 | Salve Regina | NEHC |
| Bre Simon | 2014-15 · 1.17 PPG | 1.000 | Hamline | MIAC |
| Chloe Summerfield | 2014-15 · 2.36 PPG | 0.500 | Wisconsin-Eau Claire | WIAC |
| Nicole Unsworth | 2017-18 · 1.21 PPG | 0.960 | SUNY Plattsburgh | SUNYAC |
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.