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 | Cretin-Derham Hall (women) | USHS-MN-W | 25 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2018-19 | Cretin-Derham Hall (women) | USHS-MN-W | 25 | 0 | 7 | 7 | 0.280 | 0.0423 | 0.0423 |
| 2019-20 | Cretin-Derham Hall (women) | USHS-MN-W | 25 | 3 | 7 | 10 | 0.400 | 0.0604 | 0.0604 |
| 2020-21 | Cretin-Derham Hall (women) | USHS-MN-W | 19 | 3 | 15 | 18 | 0.947 | 0.1431 | 0.1431 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Stonehill | NEWHA | SR | 31 | 3 | 4 | 7 | 0.226 |
| 2024-25 | Stonehill | NEWHA | JR | 36 | 2 | 5 | 7 | 0.194 |
| 2023-24 | Stonehill | NEWHA | SO | 37 | 0 | 6 | 6 | 0.162 |
| 2022-23 | Stonehill | NEWHA | FR | 37 | 1 | 9 | 10 | 0.270 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Sylvie Wallin | USHS-MN-W · 2012-13 · 0.28 PPG | 0.333 | Princeton |
| Ellie Larson | USHS-MN-W · 2012-13 · 0.30 PPG | 0.143 | RIT |
| Brinna Dochniak | USHS-MN-W · 2012-13 · 0.24 PPG | 0.111 | RIT |
| Grace Bowlby | USHS-MN-W · 2012-13 · 0.24 PPG | 0.316 | Wisconsin |
| Paige Michel | NE-Prep-Girls · 2012-13 · 0.11 PPG | 0.348 | UConn |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Lydia Walsh | 2022-23 · 0.25 PPG | — | Elmira | UCHC |
| Caroline Thompson | 2022-23 · 0.31 PPG | 0.320 | Southern Maine | NEHC |
| Sophie Johnson | 2023-24 · 0.77 PPG | 0.143 | St. Scholastica | NCHA |
| Anika Mader | 2021-22 · 0.25 PPG | — | Gustavus Adolphus | MIAC |
| Karin Knapp | 2015-16 · 0.29 PPG | — | Wisconsin-Eau Claire | 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.