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 | Rogers High | USHS-MN-W | 25 | 3 | 1 | 4 | 0.160 | 0.0242 | 0.0242 |
| 2019-20 | Rogers High | USHS-MN-W | 24 | 12 | 18 | 30 | 1.250 | 0.1888 | 0.1888 |
| 2020-21 | Rogers High | USHS-MN-W | 16 | 15 | 9 | 24 | 1.500 | 0.2265 | 0.2265 |
| 2021-22 | Rogers High | USHS-MN-W | 27 | 18 | 23 | 41 | 1.518 | 0.2293 | 0.2293 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Cloud State | WCHA-W | SR | 36 | 6 | 15 | 21 | 0.583 |
| 2024-25 | St. Cloud State | WCHA-W | JR | 35 | 6 | 4 | 10 | 0.286 |
| 2023-24 | St. Cloud State | WCHA-W | SO | 36 | 7 | 7 | 14 | 0.389 |
| 2022-23 | Franklin Pierce | NEWHA | FR | 34 | 12 | 15 | 27 | 0.794 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Lindsay Roethke | USHS-MN-W · 2013-14 · 1.52 PPG | 0.027 | UConn |
| Sydney Brodt | USHS-MN-W · 2013-14 · 1.54 PPG | 0.600 | Minnesota Duluth |
| Brooklynn Schugel | USHS-MN-W · 2012-13 · 1.54 PPG | 0.270 | Minnesota Duluth |
| Taylor Wente | USHS-MN-W · 2013-14 · 1.54 PPG | 0.658 | Minnesota |
| Demi Gardner | USHS-MN-W · 2013-14 · 1.55 PPG | 0.250 | Minnesota State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Jenna Allen | 2023-24 · 0.93 PPG | 0.586 | Augsburg | MIAC |
| Victoria Nelson | 2023-24 · 1.15 PPG | 0.480 | St. Scholastica | NCHA |
| Emily Lemker | 2014-15 · 1.33 PPG | 0.417 | Saint Benedict | MIAC |
| Reagan Wohlers | 2022-23 · 3.47 PPG | 0.160 | Concordia | MIAC |
| Kaitlyn Klein | 2012-13 · 1.20 PPG | 0.462 | 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.