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 | Anoka/Spring Lake Park | USHS-MN-W | 13 | 1 | 3 | 4 | 0.308 | 0.0465 | 0.0465 |
| 2021-22 | Anoka High (women) | USHS-MN-W | 26 | 6 | 10 | 16 | 0.615 | 0.0929 | 0.0929 |
| 2022-23 | Anoka High (women) | USHS-MN-W | 26 | 12 | 10 | 22 | 0.846 | 0.1278 | 0.1162 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Saint Mary's | MIAC | JR | 25 | 1 | 2 | 3 | 0.120 |
| 2024-25 | Saint Mary's | MIAC | SO | 21 | 0 | 1 | 1 | 0.048 |
| 2024-25 | Saint Mary's (MN) | MIAC | SO | 21 | 0 | 1 | 1 | 0.048 |
| 2023-24 | Saint Mary's | MIAC | FR | 14 | 1 | 1 | 2 | 0.143 |
| 2023-24 | Saint Mary's (MN) | MIAC | FR | 16 | 1 | 1 | 2 | 0.125 |
| 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 |
|---|---|---|---|---|
| Anna Daniels | 2010-11 · 0.32 PPG | 0.870 | Castleton | NEHC |
| Paige Dale | 2012-13 · 0.76 PPG | 0.370 | Wisconsin-Eau Claire | WIAC |
| Skyler Arneson | 2022-23 · 0.70 PPG | — | Wisconsin-Stevens Point | WIAC |
| Sydney Mintz | 2022-23 · 0.38 PPG | 0.750 | Utica | UCHC |
| Bella Schmidt | 2022-23 · 1.00 PPG | 0.292 | Suffolk | NEHC |
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.