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 | Delta Hockey Acad. U18 Prep G | CSSHL-U18W | 24 | 5 | 10 | 15 | 0.625 | 0.1432 | 0.1432 |
| 2019-20 | Delta Hockey Acad. U18 Prep G | CSSHL-U18W | 23 | 6 | 7 | 13 | 0.565 | 0.1295 | 0.1295 |
| 2020-21 | Delta Hockey Acad. U18 Prep G | CSSHL-U18W | 6 | 0 | 1 | 1 | 0.167 | 0.0382 | 0.0382 |
| 2021-22 | Delta Hockey Acad. U18 Prep G | CSSHL-U18W | 25 | 2 | 6 | 8 | 0.320 | 0.0733 | 0.0733 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Colgate | ECAC-W | SR | 34 | 0 | 2 | 2 | 0.059 |
| 2023-24 | Colgate | ECAC-W | JR | 36 | 0 | 4 | 4 | 0.111 |
| 2022-23 | Colgate | ECAC-W | SO | 3 | 0 | 0 | 0 | 0.000 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Jessica Adolfsson | SDHL · 2012-13 · 0.06 PPG | 0.343 | Penn State |
| Kelsey Crow | USHS-MN-W · 2012-13 · 0.48 PPG | 0.160 | Penn State |
| Tristen Truax | USHS-MN-W · 2012-13 · 0.46 PPG | 0.167 | Minnesota State |
| Lauren Boyle | USHS-MN-W · 2012-13 · 0.52 PPG | 0.486 | Ohio State |
| Brittney Anderson | USHS-MN-W · 2012-13 · 0.52 PPG | 0.571 | St. Cloud State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Kylie Ligday | 2022-23 · 0.81 PPG | 0.280 | Gustavus Adolphus | MIAC |
| Jorja Jusczak | 2023-24 · 1.00 PPG | 0.240 | Saint Benedict | MIAC |
| Olivia Patnode | 2022-23 · 0.63 PPG | — | Saint Mary's | MIAC |
| Macy Janssen | 2022-23 · 0.74 PPG | 0.333 | Gustavus Adolphus | MIAC |
| Aubree McDonagh | 2023-24 · 0.59 PPG | 0.360 | 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.