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 |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Warroad High (W) | USHS-MN-W | 25 | 8 | 7 | 15 | 0.600 | 0.0906 | 0.0906 |
| 2017-18 | Warroad High (W) | USHS-MN-W | 25 | 11 | 23 | 34 | 1.360 | 0.2054 | 0.2054 |
| 2018-19 | Warroad High (W) | USHS-MN-W | 25 | 3 | 9 | 12 | 0.480 | 0.0725 | 0.0725 |
| 2019-20 | Warroad High (W) | USHS-MN-W | 24 | 7 | 16 | 23 | 0.958 | 0.1447 | 0.1447 |
| 2020-21 | Warroad High (W) | USHS-MN-W | 22 | 8 | 14 | 22 | 1.000 | 0.1510 | 0.1510 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2024-25 | Concordia | MIAC | SR | 25 | 5 | 7 | 12 | 0.480 |
| 2023-24 | Concordia | MIAC | JR | 5 | 1 | 1 | 2 | 0.400 |
| 2022-23 | Concordia | MIAC | SO | 25 | 3 | 5 | 8 | 0.320 |
| 2021-22 | Concordia | MIAC | FR | 25 | 7 | 10 | 17 | 0.680 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Mallorie Iozzo | USHS-MN-W · 2012-13 · 0.50 PPG | 0.069 | Minnesota Duluth |
| Rose Rather | NE-Prep-Girls · 2012-13 · 0.20 PPG | 0.824 | Holy Cross |
| Sierra Semmel | NE-Prep-Girls · 2012-13 · 0.26 PPG | 0.000 | Maine |
| 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 |
| Bella Webb | 2022-23 · 0.56 PPG | 0.316 | Bethel | MIAC |
| Hunter Reardon | 2022-23 · 0.42 PPG | 0.407 | Adrian | NCHA |
| Kailin Kane | 2023-24 · 0.28 PPG | 0.625 | Johnson & Wales | NEHC |
| Reese Swanson | 2023-24 · 0.67 PPG | 0.267 | St. Olaf | MIAC |
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.