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 | Eagan High | USHS-MN-W | 24 | 5 | 5 | 10 | 0.417 | 0.0629 | 0.0629 |
| 2017-18 | Eagan High | USHS-MN-W | 26 | 13 | 20 | 33 | 1.269 | 0.1916 | 0.1916 |
| 2018-19 | Eagan High | USHS-MN-W | 25 | 17 | 18 | 35 | 1.400 | 0.2114 | 0.2114 |
| 2019-20 | Eagan High | USHS-MN-W | 25 | 17 | 11 | 28 | 1.120 | 0.1691 | 0.1691 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2023-24 | Franklin Pierce | NEWHA | SR | 34 | 9 | 12 | 21 | 0.618 |
| 2022-23 | Franklin Pierce | NEWHA | JR | 34 | 14 | 10 | 24 | 0.706 |
| 2021-22 | Franklin Pierce | NEWHA | SO | 20 | 6 | 9 | 15 | 0.750 |
| 2020-21 | Franklin Pierce | NEWHA | FR | 2 | 4 | 1 | 5 | 2.500 |
| 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.