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 | Clinton High | USHS-W | 13 | 5 | 6 | 11 | 0.846 | 0.0699 | 0.0699 |
| 2019-20 | Clinton High | USHS-W | 18 | 7 | 14 | 21 | 1.167 | 0.0964 | 0.0964 |
| 2020-21 | Clinton High | USHS-W | 4 | 3 | 3 | 6 | 1.500 | 0.1239 | 0.1239 |
| 2021-22 | Clinton High | USHS-W | 12 | 12 | 16 | 28 | 2.333 | 0.1927 | 0.1927 |
| 2022-23 | Clinton High | USHS-W | 17 | 19 | 14 | 33 | 1.941 | 0.1603 | 0.1603 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | SUNY Cortland | SUNYAC | JR | 26 | 3 | 7 | 10 | 0.385 |
| 2024-25 | SUNY Cortland | SUNYAC | SO | 26 | 11 | 10 | 21 | 0.808 |
| 2023-24 | SUNY Cortland | SUNYAC | FR | 24 | 5 | 5 | 10 | 0.417 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Ivy Dynek | USHS-W · 2012-13 · 1.92 PPG | 0.000 | St. Cloud State |
| Grace Zumwinkle | USHS-MN-W · 2012-13 · 1.08 PPG | 1.000 | Minnesota |
| Jordan Chancellor | USHS-MN-W · 2012-13 · 1.08 PPG | 0.517 | Yale |
| Molly Strabley | NE-Prep-Girls · 2012-13 · 0.48 PPG | 0.103 | Princeton |
| Andrea Renner | USHS-W · 2013-14 · 2.00 PPG | 0.167 | Northeastern |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Kylie Scott | 2022-23 · 1.04 PPG | 0.440 | Gustavus Adolphus | MIAC |
| Avery Engbrecht | 2023-24 · 1.27 PPG | 0.370 | Wisconsin-Stevens Point | WIAC |
| Emma Holmes | 2023-24 · 1.14 PPG | — | SUNY Plattsburgh | SUNYAC |
| Molly Sant | 2021-22 · 0.46 PPG | 1.000 | Colby | NESCAC |
| Jenna Grosdidier | 2016-17 · 1.10 PPG | 0.417 | Marian | NCHA |
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.