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 | Anoka High (women) | USHS-MN-W | 24 | 2 | 3 | 5 | 0.208 | 0.0315 | 0.0315 |
| 2019-20 | Anoka/Spring Lake Park | USHS-MN-W | 25 | 1 | 5 | 6 | 0.240 | 0.0362 | 0.0362 |
| 2020-21 | Anoka/Spring Lake Park | USHS-MN-W | 17 | 2 | 0 | 2 | 0.118 | 0.0178 | 0.0178 |
| 2021-22 | Anoka High (women) | USHS-MN-W | 26 | 13 | 9 | 22 | 0.846 | 0.1278 | 0.1278 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Olaf | MIAC | SR | 24 | 2 | 4 | 6 | 0.250 |
| 2024-25 | St. Olaf | MIAC | JR | 25 | 2 | 7 | 9 | 0.360 |
| 2023-24 | St. Olaf | MIAC | SO | 25 | 2 | 6 | 8 | 0.320 |
| 2022-23 | St. Olaf | MIAC | FR | 23 | 2 | 2 | 4 | 0.174 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Kenzie Prater | USHS-MN-W · 2012-13 · 0.83 PPG | 0.432 | Quinnipiac |
| Emma Turbyville | NE-Prep-Girls · 2013-14 · 0.39 PPG | 0.040 | St. Cloud State |
| Ebba Strandberg | SDHL · 2012-13 · 0.11 PPG | 0.333 | Maine |
| Allison Roethke | USHS-MN-W · 2012-13 · 0.80 PPG | 0.000 | Quinnipiac |
| Taylor Flaherty | USHS-MN-W · 2012-13 · 0.76 PPG | 0.000 | North Dakota |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Abby Reule | 2022-23 · 0.69 PPG | 0.450 | Concordia | MIAC |
| Jana Lesch | 2023-24 · 1.44 PPG | 0.222 | Wisconsin-Eau Claire | WIAC |
| Sam Mugge | 2015-16 · 0.80 PPG | — | Wisconsin-Superior | WIAC |
| Harper Poehling | 2024-25 · 1.13 PPG | 0.263 | Wisconsin-Eau Claire | WIAC |
| Alyson Vogelsang | 2023-24 · 0.81 PPG | — | St. Catherine | 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.