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 |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | White Bear Lake High (women) | USHS-MN-W | 19 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2021-22 | White Bear Lake High (women) | USHS-MN-W | 16 | 0 | 3 | 3 | 0.188 | 0.0283 | 0.0283 |
| 2022-23 | White Bear Lake High (women) | USHS-MN-W | 26 | 1 | 1 | 2 | 0.077 | 0.0116 | 0.0117 |
| 2023-24 | White Bear Lake High (women) | USHS-MN-W | 26 | 2 | 9 | 11 | 0.423 | 0.0639 | 0.0618 |
| 2024-25 | White Bear Lake High (women) | USHS-MN-W | 26 | 3 | 7 | 10 | 0.385 | 0.0581 | 0.0540 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Gustavus Adolphus | MIAC | FR | 25 | 0 | 0 | 0 | 0.000 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Lauren Niska | USHS-MN-W · 2012-13 · 0.36 PPG | 0.000 | Minnesota Duluth |
| Kate Glover | USHS-MN-W · 2012-13 · 0.35 PPG | 0.167 | Harvard |
| Ellie Larson | USHS-MN-W · 2012-13 · 0.30 PPG | 0.143 | RIT |
| Abby Ecker | USHS-MN-W · 2012-13 · 0.42 PPG | 0.000 | Bemidji State |
| Sylvie Wallin | USHS-MN-W · 2012-13 · 0.28 PPG | 0.333 | Princeton |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Samantha Estes | 2013-14 · 0.36 PPG | 0.385 | Connecticut College | NESCAC |
| Anna Bleck | 2013-14 · 1.10 PPG | 0.111 | Connecticut College | NESCAC |
| Ella Hennes | 2022-23 · 0.85 PPG | 0.143 | Saint Mary's | MIAC |
| Gabriela Gross | 2023-24 · 0.44 PPG | 0.294 | Trinity | NESCAC |
| Mallory Farrell | 2023-24 · 0.65 PPG | 0.200 | Colby | NESCAC |
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.