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 |
|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Saskatoon Stars | SFMAAAHL-W | 30 | 19 | 10 | 29 | 0.967 | 0.2261 | 0.2261 |
| 2022-23 | Saskatoon Stars | SFMAAAHL-W | 30 | 25 | 21 | 46 | 1.533 | 0.3586 | 0.3586 |
| 2023-24 | Saskatoon Stars | SFMAAAHL-W | 24 | 22 | 15 | 37 | 1.542 | 0.3606 | 0.3606 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Quinnipiac | ECAC-W | SO | 40 | 4 | 5 | 9 | 0.225 |
| 2024-25 | Quinnipiac | ECAC-W | FR | 18 | 0 | 0 | 0 | 0.000 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Lauren Hespenheide | USHS-MN-W · 2012-13 · 2.40 PPG | 0.257 | St. Cloud State |
| Corbin Boyd | USHS-MN-W · 2013-14 · 2.42 PPG | 0.269 | Minnesota State |
| Darby Dodds | USHS-MN-W · 2012-13 · 2.43 PPG | 0.000 | Lindenwood |
| Brittany Wheeler | USHS-MN-W · 2012-13 · 2.32 PPG | 0.111 | Yale |
| Rebekah Kolstad | USHS-MN-W · 2013-14 · 2.32 PPG | 0.057 | North Dakota |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Lauren Smith | 2014-15 · 2.43 PPG | 0.577 | Wisconsin-Stevens Point | WIAC |
| Michaela O'Connor | 2016-17 · 4.25 PPG | 0.333 | Williams | NESCAC |
| Courtney Moriarty | 2012-13 · 1.11 PPG | 1.259 | SUNY Plattsburgh | SUNYAC |
| Julia Masotta | 2017-18 · 1.16 PPG | 1.222 | Norwich | NEHC |
| Maddie Hulter | 2022-23 · 2.24 PPG | 0.615 | 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.