Based on 3 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 |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Strath Haven High | USHS-W | 13 | 8 | 6 | 14 | 1.077 | 0.0914 | 0.1015 |
| 2018-19 | Philadelphia Jr Flyers 16U | JWHL-U16 | 23 | 7 | 13 | 20 | 0.870 | 0.1958 | 0.1918 |
| 2019-20 | The Hill School | NE-Prep-Girls | 26 | 9 | 10 | 19 | 0.731 | 0.2374 | 0.2374 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Lawrence | ECAC-W | FR | 35 | 4 | 9 | 13 | 0.371 |
| 2024-25 | Cornell | ECAC-W | SR | 1 | 0 | 0 | 0 | 0.000 |
| 2023-24 | Cornell | ECAC-W | JR | 26 | 0 | 3 | 3 | 0.115 |
| 2022-23 | Cornell | ECAC-W | SO | 32 | 0 | 8 | 8 | 0.250 |
| 2021-22 | Cornell | ECAC-W | FR | 28 | 3 | 1 | 4 | 0.143 |
| 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 |
|---|---|---|---|---|
| Sophie Martin | 2022-23 · 0.77 PPG | 0.667 | Bethel | MIAC |
| Kaiya Sandy | 2022-23 · 0.90 PPG | 0.571 | Hamline | MIAC |
| Hannah Grabianowski | 2022-23 · 0.92 PPG | 0.517 | St. Norbert | NCHA |
| Rhiannon Ashworth | 2022-23 · 1.12 PPG | 0.440 | St. Catherine | MIAC |
| Josie Grossman | 2022-23 · 1.19 PPG | 0.400 | Wisconsin-Eau Claire | 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.