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 |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Owatonna High (W) | USHS-MN-W | 24 | 2 | 4 | 6 | 0.250 | 0.0377 | 0.0377 |
| 2020-21 | Owatonna High (W) | USHS-MN-W | 20 | 5 | 15 | 20 | 1.000 | 0.1510 | 0.1510 |
| 2021-22 | Lakeville South High | USHS-MN-W | 28 | 3 | 18 | 21 | 0.750 | 0.1132 | 0.1132 |
| 2022-23 | Lakeville South High | USHS-MN-W | 26 | 3 | 7 | 10 | 0.385 | 0.0581 | 0.0581 |
| 2023-24 | Lakeville South High | USHS-MN-W | 28 | 11 | 19 | 30 | 1.071 | 0.1618 | 0.1618 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Assumption | NEWHA | SO | 28 | 0 | 4 | 4 | 0.143 |
| 2024-25 | Assumption | NEWHA | FR | 33 | 0 | 1 | 1 | 0.030 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Lauren Boyle | USHS-MN-W · 2013-14 · 1.08 PPG | 0.486 | Ohio State |
| Kate Hallett | USHS-MN-W · 2012-13 · 1.08 PPG | 0.100 | Harvard |
| Katie Robinson | USHS-MN-W · 2012-13 · 1.08 PPG | 0.129 | Minnesota |
| Mekenzie Steffen | USHS-MN-W · 2012-13 · 1.04 PPG | 0.350 | Wisconsin |
| Grace Bizal | USHS-MN-W · 2012-13 · 1.16 PPG | 0.268 | Boston College |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Serena Seiple | 2018-19 · 0.86 PPG | 0.458 | Connecticut College | NESCAC |
| Sophia Zebro | 2015-16 · 1.13 PPG | 0.346 | Saint Mary's | MIAC |
| Emily Bauer | 2014-15 · 0.78 PPG | 0.500 | Wisconsin-Eau Claire | WIAC |
| Kathryn Pohl | 2017-18 · 0.70 PPG | 0.556 | Amherst | NESCAC |
| Kimberly Patterson | 2013-14 · 1.44 PPG | 0.273 | Saint Benedict | 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.