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 | Lac St-Louis Warriors M18 AAA(W) | QMAAA-W | 26 | 7 | 13 | 20 | 0.769 | 0.1124 | 0.1124 |
| 2019-20 | John Abbott College | QCHL-W | 26 | 11 | 12 | 23 | 0.885 | 0.2401 | 0.2401 |
| 2020-21 | John Abbott College | QCHL-W | 0 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2021-22 | John Abbott College | QCHL-W | 29 | 23 | 21 | 44 | 1.517 | 0.4118 | 0.4118 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Clarkson | ECAC-W | SR | 35 | 17 | 16 | 33 | 0.943 |
| 2024-25 | Clarkson | ECAC-W | JR | 40 | 19 | 18 | 37 | 0.925 |
| 2023-24 | Clarkson | ECAC-W | SO | 36 | 14 | 7 | 21 | 0.583 |
| 2022-23 | Clarkson | ECAC-W | FR | 42 | 6 | 4 | 10 | 0.238 |
| 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 |
| Dana Rasmussen | USHS-MN-W · 2012-13 · 2.62 PPG | 0.167 | Ohio State |
| Haley Mack | USHS-MN-W · 2013-14 · 2.88 PPG | 0.371 | Bemidji State |
| Katie Rooney | USHS-MN-W · 2012-13 · 2.52 PPG | 0.219 | RPI |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Maddie Hulter | 2022-23 · 2.24 PPG | 0.615 | Wisconsin-Eau Claire | WIAC |
| Celia Midtbo | 2021-22 · 2.08 PPG | 0.667 | Saint Mary's | MIAC |
| Emma Schmitz | 2017-18 · 2.08 PPG | 0.667 | Wisconsin-River Falls | WIAC |
| Kristina Press | 2017-18 · 2.08 PPG | 0.667 | Gustavus Adolphus | MIAC |
| Emma Peterson | 2013-14 · 2.52 PPG | 0.552 | 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.