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 | Bloomington Jefferson High (W) | USHS-MN-W | 5 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2020-21 | Bloomington Jefferson High (W) | USHS-MN-W | 19 | 0 | 1 | 1 | 0.053 | 0.0079 | 0.0079 |
| 2021-22 | Bloomington Jefferson High (W) | USHS-MN-W | 26 | 5 | 10 | 15 | 0.577 | 0.0871 | 0.0871 |
| 2022-23 | Bloomington Jefferson High (W) | USHS-MN-W | 26 | 17 | 19 | 36 | 1.385 | 0.2091 | 0.2091 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Olaf | MIAC | JR | 25 | 2 | 1 | 3 | 0.120 |
| 2024-25 | St. Olaf | MIAC | SO | 15 | 0 | 1 | 1 | 0.067 |
| 2023-24 | St. Olaf | MIAC | FR | 22 | 8 | 2 | 10 | 0.455 |
| 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 |
| Paige Loidolt | 2018-19 · 0.67 PPG | 0.760 | St. Catherine | MIAC |
| Madison Gaffney | 2014-15 · 0.80 PPG | 0.633 | Hamline | MIAC |
| Kristina Press | 2015-16 · 0.76 PPG | 0.667 | Gustavus Adolphus | MIAC |
| Lizzy Morsching | 2018-19 · 1.26 PPG | — | Saint Benedict | 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.