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 |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Waseca High (W) | USHS-MN-W | 25 | 14 | 9 | 23 | 0.920 | 0.1389 | 0.1389 |
| 2016-17 | Waseca High (W) | USHS-MN-W | 25 | 14 | 4 | 18 | 0.720 | 0.1087 | 0.1087 |
| 2017-18 | Waseca High (W) | USHS-MN-W | 25 | 29 | 13 | 42 | 1.680 | 0.2537 | 0.2537 |
| 2018-19 | Waseca High (W) | USHS-MN-W | 26 | 28 | 15 | 43 | 1.654 | 0.2497 | 0.2497 |
| 2019-20 | Waseca High (W) | USHS-MN-W | 25 | 23 | 8 | 31 | 1.240 | 0.1872 | 0.1872 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2022-23 | Finlandia | NCHA | JR | 23 | 1 | 0 | 1 | 0.043 |
| 2021-22 | Finlandia | NCHA | SO | 24 | 5 | 3 | 8 | 0.333 |
| 2020-21 | Finlandia | NCHA | FR | 0 | 0 | 0 | 0 | 0.000 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Andrea Renner | USHS-W · 2012-13 · 2.93 PPG | 0.167 | Northeastern |
| Christi Vetter | USHS-MN-W · 2012-13 · 1.67 PPG | 0.000 | Penn State |
| Taylor Williamson | USHS-MN-W · 2012-13 · 1.64 PPG | 0.395 | Minnesota |
| Emily Gunderson | USHS-MN-W · 2013-14 · 1.64 PPG | 0.171 | Lindenwood |
| Caroline Murphy | NE-Prep-Girls · 2012-13 · 0.78 PPG | 0.167 | Yale |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Emily Heid | 2013-14 · 1.00 PPG | 0.593 | Wisconsin-Superior | WIAC |
| Abigail Chamernick | 2022-23 · 1.17 PPG | 0.500 | Hamline | MIAC |
| Julianne Bradford | 2022-23 · 1.21 PPG | 0.500 | Wisconsin-Eau Claire | WIAC |
| Addie Fee | 2024-25 · 1.27 PPG | 0.480 | Wisconsin-Superior | WIAC |
| Megan O'Brian | 2012-13 · 1.12 PPG | 0.542 | Bethel | 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.