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 |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Forest Lake High (MN women) | USHS-MN-W | 23 | 8 | 1 | 9 | 0.391 | 0.0591 | 0.0591 |
| 2016-17 | Forest Lake High (MN women) | USHS-MN-W | 24 | 6 | 5 | 11 | 0.458 | 0.0692 | 0.0692 |
| 2017-18 | Forest Lake High (MN women) | USHS-MN-W | 25 | 8 | 15 | 23 | 0.920 | 0.1389 | 0.1389 |
| 2018-19 | Forest Lake High (MN women) | USHS-MN-W | 25 | 15 | 20 | 35 | 1.400 | 0.2114 | 0.2114 |
| 2019-20 | Forest Lake High (MN women) | USHS-MN-W | 24 | 10 | 22 | 32 | 1.333 | 0.2013 | 0.2013 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2020-21 | Hamline | MIAC | FR | 2 | 1 | 0 | 1 | 0.500 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| 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 |
| Katie Detert | USHS-W · 2013-14 · 2.50 PPG | 0.000 | St. Cloud State |
| 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 |
| Gabby Olson | 2016-17 · 1.28 PPG | — | Bethel | MIAC |
| Chloe Nelson | 2018-19 · 1.28 PPG | — | Wisconsin-Eau Claire | WIAC |
| Elizabeth Tabaka | 2011-12 · 0.83 PPG | 0.615 | Augsburg | 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.