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 | Alexandria Area High (W) | USHS-MN-W | 25 | 10 | 9 | 19 | 0.760 | 0.1148 | 0.1148 |
| 2019-20 | Alexandria Area High (W) | USHS-MN-W | 25 | 9 | 9 | 18 | 0.720 | 0.1087 | 0.1087 |
| 2020-21 | Alexandria Area High (W) | USHS-MN-W | 21 | 9 | 14 | 23 | 1.095 | 0.1654 | 0.1654 |
| 2021-22 | Alexandria Area High (W) | USHS-MN-W | 26 | 11 | 11 | 22 | 0.846 | 0.1278 | 0.1278 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Scholastica | NCHA | SR | 24 | 6 | 7 | 13 | 0.542 |
| 2024-25 | St. Scholastica | NCHA | JR | 25 | 4 | 5 | 9 | 0.360 |
| 2023-24 | St. Scholastica | NCHA | SO | 25 | 3 | 5 | 8 | 0.320 |
| 2022-23 | St. Scholastica | NCHA | FR | 20 | 3 | 4 | 7 | 0.350 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Holly Dietzler | USHS-MN-W · 2012-13 · 0.84 PPG | 0.108 | Lindenwood |
| Jessica Bonfe | USHS-MN-W · 2012-13 · 0.84 PPG | 0.206 | Merrimack |
| Kylie Hanley | USHS-MN-W · 2012-13 · 0.84 PPG | 0.143 | Minnesota Duluth |
| Danielle Marmer | NE-Prep-Girls · 2012-13 · 0.39 PPG | 0.000 | Quinnipiac |
| Amanda Bäckebo | SDHL · 2012-13 · 0.11 PPG | 0.056 | Syracuse |
| 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 |
| Kate Elbrecht | 2025-26 · 0.75 PPG | — | RPI | ECAC |
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.