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 | Rochester Century/JM High (W) | USHS-MN-W | 18 | 5 | 2 | 7 | 0.389 | 0.0587 | 0.0587 |
| 2021-22 | Rochester Century/JM High (W) | USHS-MN-W | 26 | 8 | 7 | 15 | 0.577 | 0.0871 | 0.0871 |
| 2022-23 | Rochester Century/JM High (W) | USHS-MN-W | 22 | 13 | 3 | 16 | 0.727 | 0.1098 | 0.1099 |
| 2023-24 | Rochester Century/JM High (W) | USHS-MN-W | 25 | 13 | 12 | 25 | 1.000 | 0.1510 | 0.1448 |
| 2024-25 | Rochester Century/JM High (W) | USHS-MN-W | 15 | 10 | 2 | 12 | 0.800 | 0.1208 | 0.1112 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Salem State | MASCAC | FR | 11 | 2 | 4 | 6 | 0.545 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Kourtney Menches | NE-Prep-Girls · 2013-14 · 0.34 PPG | 0.083 | Vermont |
| 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 |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Madisyn Krumholz | 2022-23 · 1.48 PPG | 0.185 | Wisconsin-Eau Claire | WIAC |
| Priscilla Orr | 2015-16 · 0.67 PPG | — | Lebanon Valley | UCHC |
| Anna Rausch | 2024-25 · 0.86 PPG | 0.312 | St. Norbert | NCHA |
| Paige Dale | 2012-13 · 0.76 PPG | 0.370 | Wisconsin-Eau Claire | WIAC |
| Anna Daniels | 2010-11 · 0.32 PPG | 0.870 | Castleton | 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.