Based on 1 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 | Shawnigan Lake School | CSSHL-U18W | 28 | 5 | 11 | 16 | 0.571 | 0.1309 | 0.1309 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2024-25 | LIU | CHA-W | GR | 33 | 6 | 5 | 11 | 0.333 |
| 2024-25 | Long Island Univ. | CHA-W | SR | 32 | 6 | 5 | 11 | 0.344 |
| 2023-24 | LIU | CHA-W | SR | 37 | 8 | 14 | 22 | 0.595 |
| 2023-24 | Long Island Univ. | CHA-W | JR | 37 | 8 | 14 | 22 | 0.595 |
| 2022-23 | LIU | CHA-W | JR | 37 | 6 | 2 | 8 | 0.216 |
| 2022-23 | Long Island Univ. | CHA-W | SO | 37 | 6 | 2 | 8 | 0.216 |
| 2020-21 | Long Island Univ. | CHA-W | FR | 10 | 0 | 1 | 1 | 0.100 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Amanda Bäckebo | SDHL · 2012-13 · 0.11 PPG | 0.056 | Syracuse |
| Holly Dietzler | USHS-MN-W · 2012-13 · 0.84 PPG | 0.108 | Lindenwood |
| Jessica Bonfe | USHS-MN-W · 2012-13 · 0.84 PPG | 0.206 | Merrimack |
| Kylie Hanley | USHS-MN-W · 2012-13 · 0.84 PPG | 0.143 | Minnesota Duluth |
| Lydia Passolt | USHS-MN-W · 2012-13 · 0.89 PPG | 0.095 | Bemidji State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Greer Hardacre | 2023-24 · 1.48 PPG | 0.286 | Saint Benedict | MIAC |
| Malia Mckinnon | 2022-23 · 1.19 PPG | 0.346 | Bethel | MIAC |
| McKayla Romano | 2024-25 · 0.62 PPG | 0.680 | Lebanon Valley | MAC |
| Lula Swanson | 2022-23 · 1.26 PPG | 0.333 | Wisconsin-Eau Claire | WIAC |
| Afton Hulke | 2021-22 · 1.37 PPG | 0.308 | Bethel | 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.