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 | Mahtomedi High | USHS-MN-W | 26 | 15 | 18 | 33 | 1.269 | 0.1916 | 0.1916 |
| 2018-19 | Hill-Murray School | USHS-MN-W | 25 | 12 | 23 | 35 | 1.400 | 0.2114 | 0.2114 |
| 2019-20 | Hill-Murray School | USHS-MN-W | 25 | 4 | 14 | 18 | 0.720 | 0.1087 | 0.1087 |
| 2020-21 | Hill-Murray School | USHS-MN-W | 17 | 10 | 11 | 21 | 1.235 | 0.1865 | 0.1865 |
| 2021-22 | Hill-Murray School | USHS-MN-W | 28 | 18 | 15 | 33 | 1.179 | 0.1780 | 0.1780 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Minnesota | WCHA-W | SR | 37 | 1 | 4 | 5 | 0.135 |
| 2024-25 | Minnesota | WCHA-W | JR | 35 | 3 | 2 | 5 | 0.143 |
| 2023-24 | Minnesota | WCHA-W | SO | 37 | 1 | 2 | 3 | 0.081 |
| 2022-23 | Minnesota | WCHA-W | FR | 10 | 1 | 3 | 4 | 0.400 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Grace Bizal | USHS-MN-W · 2012-13 · 1.16 PPG | 0.268 | Boston College |
| Kendra Nealey | USHS-W · 2013-14 · 2.14 PPG | 0.212 | Cornell |
| Kate Hallett | USHS-MN-W · 2012-13 · 1.08 PPG | 0.100 | Harvard |
| Katie Robinson | USHS-MN-W · 2012-13 · 1.08 PPG | 0.129 | Minnesota |
| Lauren Boyle | USHS-MN-W · 2013-14 · 1.08 PPG | 0.486 | Ohio State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Greer Hardacre | 2023-24 · 1.48 PPG | 0.286 | Saint Benedict | MIAC |
| Daelyn Williams | 2024-25 · 0.80 PPG | 0.545 | Salem State | MASCAC |
| Drew Kopek | 2022-23 · 1.04 PPG | 0.417 | SUNY Cortland | SUNYAC |
| Ellin Rees | 2023-24 · 0.80 PPG | 0.536 | Norwich | LittleEast |
| Emma Stebbeds | 2023-24 · 2.08 PPG | 0.207 | St. Norbert | 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.