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 | Pursuit of Excellence | CSSHL-U18W | 8 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2020-21 | RINK HA Kelowna U18 Prep | CSSHL-U18W | 7 | 2 | 1 | 3 | 0.429 | 0.0982 | 0.0982 |
| 2021-22 | RINK HA Kelowna U18 Prep | CSSHL-U18W | 25 | 4 | 3 | 7 | 0.280 | 0.0641 | 0.0641 |
| 2022-23 | John Abbott College | QCHL-W | 25 | 2 | 2 | 4 | 0.160 | 0.0434 | 0.0436 |
| 2023-24 | East Ottawa Stars U22 AA | OWHL-U22 | 38 | 1 | 8 | 9 | 0.237 | 0.0829 | 0.0829 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Michael's College | NEWHA | SO | 32 | 4 | 1 | 5 | 0.156 |
| 2024-25 | St. Michael's College | NEWHA | FR | 35 | 1 | 4 | 5 | 0.143 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Sierra Semmel | NE-Prep-Girls · 2012-13 · 0.26 PPG | 0.000 | Maine |
| Mallorie Iozzo | USHS-MN-W · 2012-13 · 0.50 PPG | 0.069 | Minnesota Duluth |
| 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 |
|---|---|---|---|---|
| Harper Poehling | 2024-25 · 1.13 PPG | 0.263 | Wisconsin-Eau Claire | WIAC |
| Dani Weiland | 2024-25 · 0.96 PPG | 0.300 | Wisconsin-Stevens Point | WIAC |
| Abby Reule | 2022-23 · 0.69 PPG | 0.450 | Concordia | MIAC |
| Mollie Koch | 2024-25 · 0.72 PPG | — | Saint Mary's | MIAC |
| Jana Lesch | 2023-24 · 1.44 PPG | 0.222 | 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.