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 | Weyburn Gold Wings | SFMAAAHL-W | 2 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2019-20 | Notre Dame Hounds | SFMAAAHL-W | 30 | 1 | 4 | 5 | 0.167 | 0.0390 | 0.0390 |
| 2020-21 | Notre Dame Hounds | SFMAAAHL-W | 4 | 1 | 1 | 2 | 0.500 | 0.1169 | 0.1169 |
| 2021-22 | Notre Dame Hounds | SFMAAAHL-W | 29 | 8 | 8 | 16 | 0.552 | 0.1290 | 0.1290 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2024-25 | Brown | ECAC-W | JR | 12 | 0 | 2 | 2 | 0.167 |
| 2023-24 | Brown | ECAC-W | SO | 25 | 2 | 4 | 6 | 0.240 |
| 2022-23 | Brown | ECAC-W | FR | 27 | 2 | 2 | 4 | 0.148 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Ebba Strandberg | SDHL · 2012-13 · 0.11 PPG | 0.333 | Maine |
| 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 |
| 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 |
|---|---|---|---|---|
| Gracyn Knowles | 2024-25 · 0.92 PPG | 0.548 | Wisconsin-River Falls | WIAC |
| Ashley Schintz | 2017-18 · 1.36 PPG | 0.370 | Wisconsin-Superior | WIAC |
| Jaci Reinke | 2010-11 · 1.40 PPG | 0.360 | Hamline | MIAC |
| Mackenzie Rugland | 2016-17 · 1.26 PPG | — | St. Scholastica | NCHA |
| Payton Rudiger | 2015-16 · 1.16 PPG | 0.435 | Wisconsin-River Falls | WIAC |
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.