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 |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Osseo/Park Center (women) | USHS-MN-W | 13 | 2 | 2 | 4 | 0.308 | 0.0465 | 0.0465 |
| 2021-22 | Osseo/Park Center (women) | USHS-MN-W | 21 | 9 | 2 | 11 | 0.524 | 0.0791 | 0.0791 |
| 2022-23 | Osseo/Park Center (women) | USHS-MN-W | 25 | 7 | 7 | 14 | 0.560 | 0.0846 | 0.0780 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Saint Mary's | MIAC | JR | 25 | 5 | 2 | 7 | 0.280 |
| 2024-25 | Saint Mary's | MIAC | SO | 17 | 0 | 0 | 0 | 0.000 |
| 2024-25 | Saint Mary's (MN) | MIAC | SO | 17 | 0 | 0 | 0 | 0.000 |
| 2023-24 | Saint Mary's | MIAC | FR | 19 | 2 | 1 | 3 | 0.158 |
| 2023-24 | Saint Mary's (MN) | MIAC | FR | 23 | 2 | 1 | 3 | 0.130 |
| 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 |
| Rose Rather | NE-Prep-Girls · 2012-13 · 0.20 PPG | 0.824 | Holy Cross |
| Rebecca Lindblad | USHS-W · 2012-13 · 1.08 PPG | 0.057 | UConn |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Alexis Oliveira | 2024-25 · 0.31 PPG | 0.609 | Alvernia | MAC |
| Isabella Brady | 2024-25 · 0.58 PPG | 0.320 | St. Catherine | MIAC |
| Maddie Tinkle | 2023-24 · 0.46 PPG | — | Bethel | MIAC |
| Jasmyn Germain | 2024-25 · 0.46 PPG | — | Chatham | UCHC |
| Maja Wessling | 2014-15 · 0.46 PPG | — | Wisconsin-River Falls | 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.