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 | Mounds View High (women) | USHS-MN-W | 16 | 0 | 1 | 1 | 0.062 | 0.0094 | 0.0094 |
| 2020-21 | Mounds View High (women) | USHS-MN-W | 20 | 1 | 6 | 7 | 0.350 | 0.0528 | 0.0528 |
| 2021-22 | Mounds View High (women) | USHS-MN-W | 26 | 0 | 5 | 5 | 0.192 | 0.0290 | 0.0290 |
| 2022-23 | Mounds View/Irondale High | USHS-MN-W | 25 | 5 | 6 | 11 | 0.440 | 0.0664 | 0.0664 |
| 2023-24 | Mounds View/Irondale High | USHS-MN-W | 26 | 5 | 8 | 13 | 0.500 | 0.0755 | 0.0755 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wisconsin-Eau Claire | WIAC | SO | 1 | 0 | 1 | 1 | 1.000 |
| 2024-25 | Wisconsin-Eau Claire | WIAC | FR | 1 | 0 | 0 | 0 | 0.000 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Mallorie Iozzo | USHS-MN-W · 2012-13 · 0.50 PPG | 0.069 | Minnesota Duluth |
| Sierra Semmel | NE-Prep-Girls · 2012-13 · 0.26 PPG | 0.000 | Maine |
| Rose Rather | NE-Prep-Girls · 2012-13 · 0.20 PPG | 0.824 | Holy Cross |
| Sierra Smith | USHS-MN-W · 2012-13 · 0.40 PPG | 0.000 | Minnesota |
| Liz Trautz | USHS-MN-W · 2012-13 · 0.60 PPG | 0.094 | Colgate |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Macy Peterson | 2022-23 · 0.93 PPG | 0.194 | Post | CHA-W |
| Kayson Ruegge | 2022-23 · 0.38 PPG | 0.500 | SUNY Plattsburgh | SUNYAC |
| Ella Thoreson | 2024-25 · 0.39 PPG | 0.500 | Wisconsin-Eau Claire | WIAC |
| Bella Webb | 2022-23 · 0.56 PPG | 0.316 | Bethel | MIAC |
| Mallory Farrell | 2024-25 · 0.92 PPG | 0.200 | Colby | NESCAC |
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.