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 |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Blaine High | USHS-MN-W | 25 | 9 | 8 | 17 | 0.680 | 0.1027 | 0.1027 |
| 2019-20 | Blaine High | USHS-MN-W | 25 | 4 | 9 | 13 | 0.520 | 0.0785 | 0.0785 |
| 2020-21 | Blaine High | USHS-MN-W | 19 | 6 | 6 | 12 | 0.632 | 0.0954 | 0.0954 |
| 2021-22 | Blaine High | USHS-MN-W | 27 | 7 | 12 | 19 | 0.704 | 0.1063 | 0.1063 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wisconsin-Stevens Point | WIAC | SR | 20 | 6 | 1 | 7 | 0.350 |
| 2024-25 | Wisconsin-Stevens Point | WIAC | JR | 25 | 12 | 14 | 26 | 1.040 |
| 2023-24 | Wisconsin-Stevens Point | WIAC | SO | 28 | 4 | 5 | 9 | 0.321 |
| 2022-23 | Wisconsin-Stevens Point | WIAC | FR | 27 | 7 | 7 | 14 | 0.519 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Kippin Keller | USHS-MN-W · 2012-13 · 0.68 PPG | 0.056 | Minnesota |
| 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 |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Olivia Patnode | 2022-23 · 0.63 PPG | — | Saint Mary's | MIAC |
| Jess Eykyn | 2023-24 · 1.88 PPG | 0.136 | Wisconsin-Eau Claire | WIAC |
| Allie LeClaire | 2023-24 · 0.79 PPG | 0.333 | Wisconsin-Eau Claire | WIAC |
| Lucy Peterson | 2022-23 · 0.63 PPG | — | Wisconsin-Eau Claire | WIAC |
| Maddy Skogman | 2023-24 · 0.90 PPG | 0.280 | Concordia | 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.