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 | Moorhead High (W) | USHS-MN-W | 25 | 2 | 6 | 8 | 0.320 | 0.0483 | 0.0483 |
| 2020-21 | Moorhead High (W) | USHS-MN-W | 19 | 1 | 5 | 6 | 0.316 | 0.0477 | 0.0477 |
| 2021-22 | Gentry Academy (women) | USHS-MN-W | 31 | 0 | 4 | 4 | 0.129 | 0.0195 | 0.0195 |
| 2022-23 | Gentry Academy (women) | USHS-MN-W | 29 | 6 | 9 | 15 | 0.517 | 0.0781 | 0.0781 |
| 2023-24 | Gentry Academy (women) | USHS-MN-W | 26 | 3 | 18 | 21 | 0.808 | 0.1220 | 0.1220 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Franklin Pierce | NEWHA | SO | 24 | 0 | 1 | 1 | 0.042 |
| 2024-25 | Franklin Pierce | NEWHA | FR | 18 | 1 | 1 | 2 | 0.111 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Rebecca Lindblad | USHS-W · 2013-14 · 1.43 PPG | 0.057 | UConn |
| Tianna Gunderson | USHS-MN-W · 2012-13 · 0.79 PPG | 0.069 | Minnesota |
| Renee Saltness | USHS-MN-W · 2012-13 · 0.79 PPG | 0.029 | Quinnipiac |
| Suvi Ollikainen | SMLIIGA-W · 2012-13 · 0.32 PPG | 0.151 | St. Cloud State |
| Danielle Marmer | NE-Prep-Girls · 2012-13 · 0.39 PPG | 0.000 | Quinnipiac |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Dani Weiland | 2024-25 · 0.96 PPG | 0.300 | Wisconsin-Stevens Point | WIAC |
| Harper Poehling | 2024-25 · 1.13 PPG | 0.263 | Wisconsin-Eau Claire | WIAC |
| Mollie Koch | 2024-25 · 0.72 PPG | — | Saint Mary's | MIAC |
| Abby Reule | 2022-23 · 0.69 PPG | 0.450 | Concordia | MIAC |
| Charlotte Bellmont | 2024-25 · 0.69 PPG | — | Saint Benedict | 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.