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 |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Québec As M18 AAA | QMAAA-W | 7 | 2 | 3 | 5 | 0.714 | 0.1044 | 0.1044 |
| 2020-21 | Stanstead College Varsity (W) | CAHS-W | 0 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2021-22 | Stanstead College Varsity (W) | CAHS-W | 37 | 20 | 30 | 50 | 1.351 | 0.4849 | 0.4991 |
| 2022-23 | Stanstead College Varsity (W) | CAHS-W | 40 | 11 | 27 | 38 | 0.950 | 0.3409 | 0.3353 |
| 2023-24 | Stanstead College Varsity (W) | CAHS-W | 60 | 32 | 39 | 71 | 1.183 | 0.4246 | 0.3947 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Colgate | ECAC-W | SO | 35 | 8 | 21 | 29 | 0.829 |
| 2024-25 | Colgate | ECAC-W | FR | 39 | 6 | 18 | 24 | 0.615 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Dana Rasmussen | USHS-MN-W · 2012-13 · 2.62 PPG | 0.167 | Ohio State |
| Katie Rooney | USHS-MN-W · 2012-13 · 2.52 PPG | 0.219 | RPI |
| Darby Dodds | USHS-MN-W · 2013-14 · 2.52 PPG | 0.000 | Lindenwood |
| Kayla Gardner | USHS-MN-W · 2012-13 · 2.88 PPG | 0.086 | North Dakota |
| Lauren Abbenante | NE-Prep-Girls · 2012-13 · 1.30 PPG | 0.607 | Holy Cross |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Katie Flynn | 2018-19 · 1.36 PPG | 0.741 | Augsburg | MIAC |
| Hannah Zavoral | 2016-17 · 2.52 PPG | — | Wisconsin-Eau Claire | WIAC |
| Carolyn Draayer | 2010-11 · 1.12 PPG | 0.900 | Gustavus Adolphus | MIAC |
| Reese Heitzman | 2021-22 · 0.90 PPG | 1.130 | Saint Mary's | MIAC |
| Lindsey Hays | 2018-19 · 2.40 PPG | 0.417 | St. Catherine | 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.