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 | Elk River/Zimmerman (women) | USHS-MN-W | 24 | 3 | 3 | 6 | 0.250 | 0.0377 | 0.0377 |
| 2020-21 | Elk River/Zimmerman (women) | USHS-MN-W | 19 | 5 | 5 | 10 | 0.526 | 0.0795 | 0.0795 |
| 2021-22 | Elk River/Zimmerman (women) | USHS-MN-W | 28 | 3 | 3 | 6 | 0.214 | 0.0324 | 0.0324 |
| 2022-23 | Elk River/Zimmerman (women) | USHS-MN-W | 26 | 13 | 7 | 20 | 0.769 | 0.1161 | 0.1161 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Olaf | MIAC | JR | 24 | 0 | 4 | 4 | 0.167 |
| 2024-25 | St. Olaf | MIAC | SO | 26 | 2 | 3 | 5 | 0.192 |
| 2023-24 | St. Olaf | MIAC | FR | 25 | 2 | 9 | 11 | 0.440 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Janna Haeg | USHS-MN-W · 2012-13 · 0.76 PPG | 0.303 | St. Cloud State |
| Kendall Williamson | USHS-MN-W · 2012-13 · 0.76 PPG | 0.000 | Colgate |
| Sofia Poinar | USHS-MN-W · 2012-13 · 0.76 PPG | 0.028 | Minnesota State |
| Renee Saltness | USHS-MN-W · 2012-13 · 0.79 PPG | 0.029 | Quinnipiac |
| Tianna Gunderson | USHS-MN-W · 2012-13 · 0.79 PPG | 0.069 | Minnesota |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Charlotte Bellmont | 2024-25 · 0.69 PPG | — | Saint Benedict | MIAC |
| Dani Weiland | 2024-25 · 0.96 PPG | 0.300 | Wisconsin-Stevens Point | WIAC |
| Tallulah Bryant | 2022-23 · 1.00 PPG | 0.273 | Lake Forest | NCHA |
| Mollie Koch | 2024-25 · 0.72 PPG | — | Saint Mary's | MIAC |
| Paige Dale | 2012-13 · 0.76 PPG | 0.370 | 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.