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 | Anaheim Lady Ducks 16U AAA | 16U-AAA-W | 57 | 14 | 14 | 28 | 0.491 | 0.1577 | 0.1577 |
| 2020-21 | Anaheim Lady Ducks 16U AAA | 16U-AAA-W | 27 | 9 | 9 | 18 | 0.667 | 0.2141 | 0.2141 |
| 2021-22 | Anaheim Lady Ducks 16U AAA | 16U-AAA-W | 40 | 18 | 7 | 25 | 0.625 | 0.2007 | 0.2007 |
| 2022-23 | — | 19U-AAA-W | 13 | 1 | 5 | 6 | 0.462 | 0.1894 | 0.1894 |
| 2023-24 | — | 19U-AAA-W | 3 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Yale | ECAC-W | SO | 9 | 0 | 1 | 1 | 0.111 |
| 2024-25 | Yale | ECAC-W | FR | 12 | 1 | 0 | 1 | 0.083 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Kendra Nealey | USHS-W · 2013-14 · 2.14 PPG | 0.212 | Cornell |
| Grace Bizal | USHS-MN-W · 2013-14 · 1.35 PPG | 0.268 | Boston College |
| Dani Sadek | USHS-MN-W · 2013-14 · 1.38 PPG | 0.611 | 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 |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Gracyn Knowles | 2024-25 · 0.92 PPG | 0.548 | Wisconsin-River Falls | WIAC |
| Greta Nundahl | 2013-14 · 0.96 PPG | 0.519 | St. Scholastica | NCHA |
| Ashley Kloncz | 2012-13 · 1.04 PPG | 0.480 | Augsburg | MIAC |
| Kaleigh Martinson | 2012-13 · 0.84 PPG | 0.593 | Wisconsin-Superior | WIAC |
| Kensie Malone | 2015-16 · 0.83 PPG | 0.600 | Augsburg | 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.