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 | Boston Shamrocks U16 | JWHL-U16 | 24 | 8 | 4 | 12 | 0.500 | 0.1126 | 0.1126 |
| 2018-19 | Boston Shamrocks U16 | JWHL-U16 | 21 | 9 | 7 | 16 | 0.762 | 0.1716 | 0.1716 |
| 2019-20 | Boston Shamrocks U16 | JWHL-U16 | 28 | 13 | 9 | 22 | 0.786 | 0.1769 | 0.1769 |
| 2021-22 | NAHA White 19U AAA | 19U-AAA-W | 79 | 36 | 33 | 69 | 0.873 | 0.2780 | 0.2780 |
| 2022-23 | — | 19U-AAA-W | 24 | 16 | 10 | 26 | 1.083 | 0.4447 | 0.4447 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Dartmouth | ECAC-W | JR | 31 | 1 | 3 | 4 | 0.129 |
| 2024-25 | Dartmouth | ECAC-W | SO | 29 | 2 | 7 | 9 | 0.310 |
| 2023-24 | Dartmouth | ECAC-W | FR | 30 | 2 | 4 | 6 | 0.200 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Dana Rasmussen | USHS-MN-W · 2013-14 · 2.96 PPG | 0.167 | Ohio State |
| Phoebe Staenz | NE-Prep-Girls · 2012-13 · 1.38 PPG | 0.680 | Yale |
| Bridget Carey | NE-Prep-Girls · 2012-13 · 1.38 PPG | 0.357 | Brown |
| Reagan Haley | USHS-MN-W · 2012-13 · 2.92 PPG | 0.108 | Minnesota Duluth |
| Haley Mack | USHS-MN-W · 2013-14 · 2.88 PPG | 0.371 | Bemidji State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Celia Midtbo | 2022-23 · 1.73 PPG | 0.667 | Saint Mary's | MIAC |
| 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 |
| Nora Carstensen | 2024-25 · 1.97 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.