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 | Park High (women) | USHS-MN-W | 24 | 2 | 4 | 6 | 0.250 | 0.0377 | 0.0377 |
| 2020-21 | Stillwater High (women) | USHS-MN-W | 23 | 9 | 13 | 22 | 0.957 | 0.1444 | 0.1444 |
| 2021-22 | Stillwater High (women) | USHS-MN-W | 27 | 15 | 10 | 25 | 0.926 | 0.1398 | 0.1398 |
| 2022-23 | — | 16U-AAA-W | 9 | 5 | 1 | 6 | 0.667 | 0.2381 | 0.2381 |
| 2023-24 | Stillwater High (women) | USHS-MN-W | 28 | 18 | 25 | 43 | 1.536 | 0.2319 | 0.2319 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | New Hampshire | HEA-W | SO | 35 | 2 | 2 | 4 | 0.114 |
| 2024-25 | New Hampshire | HEA-W | FR | 33 | 1 | 2 | 3 | 0.091 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Lauren Kelly | NE-Prep-Girls · 2012-13 · 0.73 PPG | 0.208 | Dartmouth |
| Erin O'Connor | USHS-W · 2013-14 · 2.80 PPG | 0.758 | Cornell |
| Dani Sadek | USHS-MN-W · 2012-13 · 1.46 PPG | 0.611 | Ohio State |
| Taylor Marchin | NE-Prep-Girls · 2012-13 · 0.77 PPG | 0.207 | Yale |
| Grace Bizal | USHS-MN-W · 2013-14 · 1.35 PPG | 0.268 | Boston College |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Jenna Allen | 2023-24 · 0.93 PPG | 0.586 | Augsburg | MIAC |
| Grace Karakas | 2023-24 · 1.38 PPG | 0.417 | SUNY Cortland | SUNYAC |
| Abigail Chamernick | 2022-23 · 1.17 PPG | 0.500 | Hamline | MIAC |
| Olivia Boyer | 2021-22 · 0.74 PPG | 0.759 | Norwich | NEHC |
| Geneva Lloyd | 2007-08 · 0.56 PPG | 1.000 | Amherst | 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.