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 |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Biggby Coffee AAA Hockey 19U | 19U-AAA-W | 69 | 16 | 22 | 38 | 0.551 | 0.1753 | 0.1753 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2023-24 | Curry | NEHC | FR | 26 | 0 | 0 | 0 | 0.000 |
| 2022-23 | Post | CHA-W | SR | 12 | 1 | 1 | 2 | 0.167 |
| 2022-23 | Post | CHA-W | SR | 8 | 0 | 0 | 0 | 0.000 |
| 2021-22 | Post | CHA-W | JR | 32 | 6 | 6 | 12 | 0.375 |
| 2021-22 | Post | CHA-W | JR | 30 | 5 | 4 | 9 | 0.300 |
| 2020-21 | Post | CHA-W | SO | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Post | CHA-W | FR | 35 | 15 | 4 | 19 | 0.543 |
| 2019-20 | Post | CHA-W | FR | 35 | 15 | 4 | 19 | 0.543 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Gabbie Hughes | USHS-MN-W · 2013-14 · 1.16 PPG | 1.121 | Minnesota Duluth |
| Laura Anderson | USHS-MN-W · 2013-14 · 1.16 PPG | 0.290 | Yale |
| Andrea Renner | USHS-W · 2013-14 · 2.00 PPG | 0.167 | Northeastern |
| Natalie Snodgrass | USHS-MN-W · 2012-13 · 1.20 PPG | 1.000 | UConn |
| Kaylee Druk | USHS-MN-W · 2012-13 · 1.20 PPG | 0.000 | Syracuse |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Greer Hardacre | 2023-24 · 1.48 PPG | 0.286 | Saint Benedict | MIAC |
| Ellin Rees | 2023-24 · 0.80 PPG | 0.536 | Norwich | LittleEast |
| Malia Mckinnon | 2022-23 · 1.19 PPG | 0.346 | Bethel | MIAC |
| McKayla Romano | 2024-25 · 0.62 PPG | 0.680 | Lebanon Valley | MAC |
| Ana Myers | 2022-23 · 0.48 PPG | 0.880 | St. Catherine | 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.