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 |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Worcester Academy | NE-Prep-Girls | 27 | 3 | 6 | 9 | 0.330 | 0.1072 | 0.1072 |
| 2017-18 | Worcester Academy | NE-Prep-Girls | 27 | 6 | 15 | 21 | 0.780 | 0.2533 | 0.2533 |
| 2018-19 | Worcester Academy | NE-Prep-Girls | 23 | 5 | 3 | 8 | 0.350 | 0.1137 | 0.1137 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2022-23 | William Smith | NEHC | SR | 4 | 0 | 0 | 0 | 0.000 |
| 2021-22 | William Smith | NEHC | JR | 11 | 2 | 3 | 5 | 0.455 |
| 2020-21 | William Smith | NEHC | SO | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | William Smith | NEHC | FR | 27 | 8 | 11 | 19 | 0.704 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Janna Haeg | USHS-MN-W · 2012-13 · 0.76 PPG | 0.303 | St. Cloud State |
| Kendall Williamson | USHS-MN-W · 2012-13 · 0.76 PPG | 0.000 | Colgate |
| Sofia Poinar | USHS-MN-W · 2012-13 · 0.76 PPG | 0.028 | Minnesota State |
| Kourtney Menches | NE-Prep-Girls · 2013-14 · 0.34 PPG | 0.083 | Vermont |
| Renee Saltness | USHS-MN-W · 2012-13 · 0.79 PPG | 0.029 | Quinnipiac |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Jorja Jusczak | 2023-24 · 1.00 PPG | 0.240 | Saint Benedict | MIAC |
| Kylie Ligday | 2022-23 · 0.81 PPG | 0.280 | Gustavus Adolphus | MIAC |
| Olivia Patnode | 2022-23 · 0.63 PPG | — | Saint Mary's | MIAC |
| Macy Janssen | 2022-23 · 0.74 PPG | 0.333 | Gustavus Adolphus | MIAC |
| Lucy Peterson | 2022-23 · 0.63 PPG | — | 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.