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 |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Sherbrooke Harfangs M18 AAA | QMAAA-W | 3 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2019-20 | Stanstead College Varsity (W) | CAHS-W | 58 | 7 | 15 | 22 | 0.379 | 0.1361 | 0.1361 |
| 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 | 22 | 27 | 49 | 1.324 | 0.4752 | 0.4752 |
| 2022-23 | Stanstead College Varsity (W) | CAHS-W | 48 | 24 | 32 | 56 | 1.167 | 0.4186 | 0.4186 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Cornell | ECAC-W | JR | 32 | 6 | 10 | 16 | 0.500 |
| 2024-25 | Cornell | ECAC-W | SO | 34 | 1 | 3 | 4 | 0.118 |
| 2023-24 | Cornell | ECAC-W | FR | 34 | 0 | 2 | 2 | 0.059 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Lauren Abbenante | NE-Prep-Girls · 2012-13 · 1.30 PPG | 0.607 | Holy Cross |
| Reagan Haley | USHS-MN-W · 2013-14 · 2.80 PPG | 0.108 | Minnesota Duluth |
| Haley Mack | USHS-MN-W · 2013-14 · 2.88 PPG | 0.371 | Bemidji State |
| Dana Rasmussen | USHS-MN-W · 2012-13 · 2.62 PPG | 0.167 | Ohio State |
| Phoebe Staenz | NE-Prep-Girls · 2012-13 · 1.38 PPG | 0.680 | Yale |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Tristan Wicklund | 2021-22 · 1.23 PPG | 0.871 | St. Norbert | NCHA |
| Kelsey Rafferty | 2012-13 · 1.57 PPG | 0.680 | Hamline | MIAC |
| Emma Crocker | 2016-17 · 1.38 PPG | 0.769 | Elmira | UCHC |
| Bailey Coons | 2011-12 · 2.31 PPG | 0.458 | Becker | — |
| Katie Aney | 2012-13 · 2.75 PPG | 0.385 | Gustavus Adolphus | 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.