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 | Benilde-St. Margaret's (W) | USHS-MN-W | 22 | 0 | 1 | 1 | 0.045 | 0.0069 | 0.0069 |
| 2020-21 | Benilde-St. Margaret's (W) | USHS-MN-W | 17 | 1 | 2 | 3 | 0.176 | 0.0267 | 0.0267 |
| 2021-22 | Benilde-St. Margaret's (W) | USHS-MN-W | 28 | 5 | 11 | 16 | 0.571 | 0.0863 | 0.0863 |
| 2022-23 | Benilde-St. Margaret's (W) | USHS-MN-W | 23 | 5 | 7 | 12 | 0.522 | 0.0788 | 0.0788 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Holy Cross | NEWHA | SR | 30 | 1 | 2 | 3 | 0.100 |
| 2024-25 | Holy Cross | NEWHA | JR | 34 | 1 | 0 | 1 | 0.029 |
| 2023-24 | St. Thomas | CHA-W | FR | 7 | 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 |
| Liz Trautz | USHS-MN-W · 2012-13 · 0.60 PPG | 0.094 | Colgate |
| Rebecca Lindblad | USHS-W · 2012-13 · 1.08 PPG | 0.057 | UConn |
| Madison Oelkers | USHS-MN-W · 2012-13 · 0.61 PPG | 0.257 | Minnesota State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Ella Thoreson | 2024-25 · 0.39 PPG | 0.500 | Wisconsin-Eau Claire | WIAC |
| Kayson Ruegge | 2022-23 · 0.38 PPG | 0.500 | SUNY Plattsburgh | SUNYAC |
| Autumn Burt | 2023-24 · 0.50 PPG | — | St. Catherine | MIAC |
| Jenna Horvat | 2022-23 · 0.50 PPG | — | St. Scholastica | NCHA |
| Macy Peterson | 2022-23 · 0.93 PPG | 0.194 | Post | CHA-W |
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.