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 | Roseville High | USHS-MN-W | 22 | 5 | 4 | 9 | 0.409 | 0.0618 | 0.0618 |
| 2020-21 | Roseville High | USHS-MN-W | 20 | 4 | 4 | 8 | 0.400 | 0.0604 | 0.0604 |
| 2021-22 | Roseville High | USHS-MN-W | 27 | 10 | 11 | 21 | 0.778 | 0.1174 | 0.1174 |
| 2022-23 | Roseville/Mahtomedi High | USHS-MN-W | 26 | 10 | 10 | 20 | 0.769 | 0.1161 | 0.1121 |
| 2023-24 | Roseville/Mahtomedi High | USHS-MN-W | 26 | 11 | 17 | 28 | 1.077 | 0.1626 | 0.1501 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Augsburg | MIAC | SO | 27 | 3 | 10 | 13 | 0.481 |
| 2024-25 | Augsburg | MIAC | FR | 29 | 7 | 9 | 16 | 0.552 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Katie Detert | USHS-W · 2012-13 · 1.80 PPG | 0.000 | St. Cloud State |
| Ivy Dynek | USHS-W · 2013-14 · 1.78 PPG | 0.000 | St. Cloud State |
| Annie Roche | USHS-W · 2012-13 · 1.88 PPG | 0.000 | Colgate |
| Molly Strabley | NE-Prep-Girls · 2012-13 · 0.48 PPG | 0.103 | Princeton |
| Carly Bullock | USHS-MN-W · 2012-13 · 0.92 PPG | 0.812 | Princeton |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| McKenna Sandberg | 2022-23 · 1.23 PPG | 0.280 | Wisconsin-Eau Claire | WIAC |
| Lauren Schmidt | 2023-24 · 1.07 PPG | 0.333 | St. Catherine | MIAC |
| Kaylynn Fisher | 2025-26 · 0.90 PPG | — | RPI | ECAC |
| Kayleigh Olson | 2024-25 · 2.08 PPG | 0.167 | Gustavus Adolphus | MIAC |
| Shelby Evans | 2023-24 · 0.93 PPG | — | St. Scholastica | NCHA |
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.