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 |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | South St. Paul High (W) | USHS-MN-W | 25 | 12 | 14 | 26 | 1.040 | 0.1570 | 0.1570 |
| 2017-18 | South St. Paul High (W) | USHS-MN-W | 26 | 12 | 20 | 32 | 1.231 | 0.1859 | 0.1859 |
| 2018-19 | South St. Paul High (W) | USHS-MN-W | 22 | 16 | 15 | 31 | 1.409 | 0.2128 | 0.2128 |
| 2019-20 | South St. Paul High (W) | USHS-MN-W | 25 | 14 | 23 | 37 | 1.480 | 0.2235 | 0.2235 |
| 2020-21 | South St. Paul High (W) | USHS-MN-W | 2 | 1 | 1 | 2 | 1.000 | 0.1510 | 0.1510 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2021-22 | Wisconsin-Superior | WIAC | FR | 19 | 4 | 3 | 7 | 0.368 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Katie Detert | USHS-W · 2013-14 · 2.50 PPG | 0.000 | St. Cloud State |
| Mariah Gardner | USHS-MN-W · 2012-13 · 1.40 PPG | 0.071 | Minnesota State |
| Abby Halluska | USHS-MN-W · 2013-14 · 1.40 PPG | 0.314 | Bemidji State |
| Gabby Billing | USHS-MN-W · 2013-14 · 1.40 PPG | 0.310 | Dartmouth |
| Charly Dalhquist | USHS-MN-W · 2013-14 · 1.40 PPG | 0.241 | North Dakota |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Gracyn Knowles | 2024-25 · 0.92 PPG | 0.548 | Wisconsin-River Falls | WIAC |
| Ella Konrad | 2024-25 · 0.74 PPG | 0.700 | Nazareth | UCHC |
| Abby Pohlkamp | 2018-19 · 1.36 PPG | 0.379 | St. Scholastica | NCHA |
| Alexis Peterson | 2011-12 · 1.08 PPG | 0.476 | Marian | NCHA |
| Baylee Darling | 2011-12 · 1.92 PPG | 0.269 | Concordia (WI) | 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.