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 | Québec As M18 AAA | QMAAA-W | 30 | 5 | 10 | 15 | 0.500 | 0.0731 | 0.0747 |
| 2019-20 | Québec As M18 AAA | QMAAA-W | 26 | 18 | 10 | 28 | 1.077 | 0.1573 | 0.1573 |
| 2020-21 | Cégep Limoilou Titans | QCHL-W | 0 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2021-22 | Cégep Limoilou Titans | QCHL-W | 30 | 7 | 8 | 15 | 0.500 | 0.1357 | 0.1376 |
| 2022-23 | Cégep Limoilou Titans | QCHL-W | 30 | 11 | 24 | 35 | 1.167 | 0.3166 | 0.2999 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Vermont | HEA-W | JR | 38 | 7 | 18 | 25 | 0.658 |
| 2024-25 | Vermont | HEA-W | SO | 35 | 6 | 9 | 15 | 0.429 |
| 2023-24 | Vermont | HEA-W | FR | 35 | 3 | 6 | 9 | 0.257 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Lindsay Roethke | USHS-MN-W · 2012-13 · 1.96 PPG | 0.027 | UConn |
| Emily Bergland | USHS-MN-W · 2013-14 · 2.04 PPG | 0.114 | Bemidji State |
| Catherine Skaja | USHS-MN-W · 2012-13 · 2.08 PPG | 0.342 | Minnesota |
| Rebekah Kolstad | USHS-MN-W · 2012-13 · 2.09 PPG | 0.057 | North Dakota |
| Sylvia Marolt | USHS-MN-W · 2012-13 · 2.12 PPG | 0.000 | Bemidji State |
| 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 |
| Cheyenne Abear | 2017-18 · 1.16 PPG | 0.875 | Hamline | 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.