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 | Djurgårdens IF | SDHL | 33 | 1 | 4 | 5 | 0.151 | 0.1772 | 0.1772 |
| 2020-21 | Djurgårdens IF | SDHL | 34 | 5 | 3 | 8 | 0.235 | 0.2752 | 0.2752 |
| 2021-22 | Djurgårdens IF | SDHL | 34 | 6 | 5 | 11 | 0.324 | 0.3783 | 0.3783 |
| 2022-23 | Djurgårdens IF | SDHL | 28 | 3 | 1 | 4 | 0.143 | 0.1671 | 0.1671 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2026-27 | Merrimack | HEA-W | JR | 0 | 0 | 0 | 0 | 0.000 |
| 2025-26 | Merrimack | HEA-W | JR | 35 | 3 | 7 | 10 | 0.286 |
| 2024-25 | Merrimack | HEA-W | SO | 36 | 11 | 8 | 19 | 0.528 |
| 2023-24 | Merrimack | HEA-W | FR | 36 | 9 | 7 | 16 | 0.444 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Andrea Renner | USHS-W · 2013-14 · 2.00 PPG | 0.167 | Northeastern |
| Liz Schepers | USHS-MN-W · 2012-13 · 1.12 PPG | 0.410 | Ohio 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 |
| Gabbie Hughes | USHS-MN-W · 2013-14 · 1.16 PPG | 1.121 | Minnesota Duluth |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Jana Lesch | 2023-24 · 1.44 PPG | 0.222 | Wisconsin-Eau Claire | WIAC |
| Abby Reule | 2022-23 · 0.69 PPG | 0.450 | Concordia | MIAC |
| Sam Mugge | 2015-16 · 0.80 PPG | — | Wisconsin-Superior | WIAC |
| Alyson Vogelsang | 2023-24 · 0.81 PPG | — | St. Catherine | MIAC |
| Brooke Klemz | 2023-24 · 1.15 PPG | 0.280 | 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.