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 | Blaine High | USHS-MN-W | 25 | 9 | 11 | 20 | 0.800 | 0.1208 | 0.1208 |
| 2019-20 | Blaine High | USHS-MN-W | 25 | 12 | 11 | 23 | 0.920 | 0.1389 | 0.1389 |
| 2020-21 | Chisago Lakes High (W) | USHS-MN-W | 22 | 12 | 21 | 33 | 1.500 | 0.2265 | 0.2265 |
| 2021-22 | Chisago Lakes High (W) | USHS-MN-W | 24 | 22 | 24 | 46 | 1.917 | 0.2894 | 0.2894 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Maine | HEA-W | SR | 31 | 3 | 5 | 8 | 0.258 |
| 2024-25 | Maine | HEA-W | JR | 33 | 1 | 5 | 6 | 0.182 |
| 2023-24 | Minnesota Duluth | WCHA-W | SO | 32 | 2 | 0 | 2 | 0.062 |
| 2022-23 | Minnesota Duluth | WCHA-W | FR | 8 | 0 | 0 | 0 | 0.000 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Lindsay Roethke | USHS-MN-W · 2012-13 · 1.96 PPG | 0.027 | UConn |
| Liz Schepers | USHS-MN-W · 2013-14 · 1.84 PPG | 0.410 | Ohio State |
| Emily Bergland | USHS-MN-W · 2013-14 · 2.04 PPG | 0.114 | Bemidji State |
| Paige Voight | USHS-MN-W · 2013-14 · 1.76 PPG | 0.559 | Merrimack |
| Catherine Skaja | USHS-MN-W · 2012-13 · 2.08 PPG | 0.342 | Minnesota |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Kassie Lien | 2012-13 · 1.68 PPG | 0.417 | Saint Mary's (MN) | MIAC |
| Ivy Boric | 2015-16 · 0.54 PPG | 1.296 | SUNY Plattsburgh | SUNYAC |
| Michaela Crowley | 2013-14 · 1.75 PPG | — | St. Olaf | MIAC |
| Brie Larkowski | 2016-17 · 1.75 PPG | — | Wisconsin-Stevens Point | WIAC |
| Madison McDonald | 2018-19 · 1.75 PPG | — | Concordia | 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.