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 |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Minnehaha United (W) | USHS-MN-W | 26 | 8 | 2 | 10 | 0.385 | 0.0581 | 0.0581 |
| 2019-20 | Forest Lake High (MN women) | USHS-MN-W | 17 | 1 | 2 | 3 | 0.176 | 0.0267 | 0.0267 |
| 2020-21 | Forest Lake High (MN women) | USHS-MN-W | 21 | 9 | 2 | 11 | 0.524 | 0.0791 | 0.0791 |
| 2021-22 | Forest Lake High (MN women) | USHS-MN-W | 26 | 14 | 10 | 24 | 0.923 | 0.1394 | 0.1394 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Marian | NCHA | SO | 14 | 3 | 0 | 3 | 0.214 |
| 2024-25 | Marian | NCHA | FR | 26 | 2 | 3 | 5 | 0.192 |
| 2023-24 | Worcester State | MASCAC | SO | 25 | 5 | 7 | 12 | 0.480 |
| 2022-23 | Worcester State | MASCAC | FR | 27 | 6 | 6 | 12 | 0.444 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Carly Bullock | USHS-MN-W · 2012-13 · 0.92 PPG | 0.812 | Princeton |
| Emily Antony | USHS-MN-W · 2012-13 · 0.92 PPG | 0.444 | Minnesota State |
| Vilma Tanskanen | SMLIIGA-W · 2012-13 · 0.35 PPG | 0.182 | North Dakota |
| Lydia Passolt | USHS-MN-W · 2012-13 · 0.89 PPG | 0.095 | Bemidji State |
| Ivy Dynek | USHS-W · 2013-14 · 1.78 PPG | 0.000 | St. Cloud State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Adrienne Hansen | 2023-24 · 0.70 PPG | 0.481 | Wisconsin-Eau Claire | WIAC |
| Lauren Schmidt | 2024-25 · 1.00 PPG | 0.333 | St. Catherine | MIAC |
| Alyson Vogelsang | 2023-24 · 0.81 PPG | — | St. Catherine | MIAC |
| Andrea Noss | 2013-14 · 0.52 PPG | 0.667 | SUNY Oswego | SUNYAC |
| Shelby Evans | 2024-25 · 0.89 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.