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 | Apple Valley High (women) | USHS-MN-W | 24 | 15 | 21 | 36 | 1.500 | 0.2265 | 0.2265 |
| 2020-21 | Apple Valley High (women) | USHS-MN-W | 21 | 29 | 17 | 46 | 2.191 | 0.3308 | 0.3308 |
| 2021-22 | Apple Valley High (women) | USHS-MN-W | 26 | 32 | 30 | 62 | 2.385 | 0.3601 | 0.3601 |
| 2022-23 | — | 16U-AAA-W | 9 | 2 | 8 | 10 | 1.111 | 0.3969 | 0.3969 |
| 2023-24 | Apple Valley High (women) | USHS-MN-W | 28 | 38 | 29 | 67 | 2.393 | 0.3613 | 0.3415 |
| 2024-25 | — | 19U-AAA-W | 6 | 2 | 3 | 5 | 0.833 | 0.3421 | 0.3421 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Minnesota State | CHA-W | FR | 38 | 4 | 9 | 13 | 0.342 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Brooklynn Schugel | USHS-MN-W · 2013-14 · 2.26 PPG | 0.270 | Minnesota Duluth |
| Jordan McLaughlin | USHS-MN-W · 2013-14 · 2.22 PPG | 0.294 | Minnesota State |
| Brittany Wheeler | USHS-MN-W · 2012-13 · 2.32 PPG | 0.111 | Yale |
| Rebekah Kolstad | USHS-MN-W · 2013-14 · 2.32 PPG | 0.057 | North Dakota |
| Catherine Skaja | USHS-MN-W · 2013-14 · 2.21 PPG | 0.342 | Minnesota |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Elizabeth Bauer | 2014-15 · 1.26 PPG | 0.714 | Wisconsin-Eau Claire | WIAC |
| Courtney Boucher | 2010-11 · 1.58 PPG | 0.567 | Gustavus Adolphus | MIAC |
| Amanda Flemming | 2015-16 · 1.60 PPG | 0.560 | Concordia | MIAC |
| Courtney Bloemke | 2015-16 · 1.64 PPG | 0.552 | St. Scholastica | NCHA |
| Kalle Reed | 2022-23 · 1.79 PPG | 0.500 | Gustavus Adolphus | 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.