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 | Breck School (W) | USHS-MN-W | 21 | 1 | 1 | 2 | 0.095 | 0.0144 | 0.0144 |
| 2018-19 | Breck School (W) | USHS-MN-W | 2 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2020-21 | Gentry Academy (women) | USHS-MN-W | 22 | 15 | 13 | 28 | 1.273 | 0.1922 | 0.1922 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2024-25 | St. Michael's College | NEWHA | SR | 36 | 3 | 2 | 5 | 0.139 |
| 2023-24 | St. Michael's College | NEWHA | JR | 25 | 4 | 4 | 8 | 0.320 |
| 2022-23 | St. Michael's College | NEWHA | SO | 32 | 8 | 2 | 10 | 0.312 |
| 2021-22 | St. Michael's College | NEWHA | FR | 26 | 6 | 3 | 9 | 0.346 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Becca Gilmore | NE-Prep-Girls · 2012-13 · 0.04 PPG | 1.167 | Harvard |
| Madison Nichols | NE-Prep-Girls · 2012-13 · 0.04 PPG | 0.360 | St. Michael's College |
| Sharon Frankel | NE-Prep-Girls · 2012-13 · 0.05 PPG | 0.312 | Princeton |
| Stella Haberman | USHS-MN-W · 2012-13 · 0.12 PPG | 0.125 | RIT |
| Annelise Rice | USHS-MN-W · 2012-13 · 0.05 PPG | 0.080 | North Dakota |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Lillian Relyea | 2024-25 · 0.20 PPG | 0.167 | William Smith | SUNYAC |
| Kaiya Johnson | 2024-25 · 0.38 PPG | 0.074 | Wisconsin-Stevens Point | WIAC |
| Rachel Robbins | 2022-23 · 0.08 PPG | — | Hamline | MIAC |
| Hannah Graunke | 2022-23 · 0.23 PPG | 0.179 | St. Norbert | NCHA |
| Logan Harper | 2014-15 · 0.11 PPG | 0.292 | Wisconsin-Stevens Point | WIAC |
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.