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 | — | USHS-MN-W | 23 | 6 | 10 | 16 | 0.696 | 0.1051 | 0.1051 |
| 2020-21 | Orono High | USHS-MN-W | 20 | 9 | 17 | 26 | 1.300 | 0.1963 | 0.1963 |
| 2021-22 | Orono High | USHS-MN-W | 30 | 13 | 22 | 35 | 1.167 | 0.1762 | 0.1762 |
| 2022-23 | — | 16U-AAA-W | 9 | 2 | 1 | 3 | 0.333 | 0.1191 | 0.1191 |
| 2023-24 | Orono High | USHS-MN-W | 30 | 7 | 13 | 20 | 0.667 | 0.1007 | 0.0942 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wisconsin-River Falls | WIAC | SO | 31 | 10 | 23 | 33 | 1.065 |
| 2024-25 | Wisconsin-River Falls | WIAC | FR | 30 | 8 | 26 | 34 | 1.133 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Erin Meyers | USHS-MN-W · 2012-13 · 0.62 PPG | 0.897 | Saint Anselm |
| Joie Phelps | USHS-MN-W · 2012-13 · 0.62 PPG | 0.182 | Cornell |
| Madison Oelkers | USHS-MN-W · 2012-13 · 0.61 PPG | 0.257 | Minnesota State |
| Mac Johnson | USHS-MN-W · 2012-13 · 0.64 PPG | 0.125 | St. Cloud State |
| Abby Halluska | USHS-MN-W · 2012-13 · 0.64 PPG | 0.314 | Bemidji State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Emilie Anderson | 2023-24 · 1.00 PPG | 0.235 | St. Olaf | MIAC |
| Aryah Hansen | 2024-25 · 0.56 PPG | — | Wisconsin-Stevens Point | WIAC |
| Ella Hornung | 2024-25 · 0.71 PPG | 0.333 | Wisconsin-Superior | WIAC |
| Katherine Pauletti | 2011-12 · 0.80 PPG | 0.280 | Concordia (WI) | NCHA |
| Molly Ji | 2024-25 · 1.65 PPG | 0.143 | Hamilton | NESCAC |
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.