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 |
|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Worcester Academy | NE-Prep-Girls | 28 | 2 | 9 | 11 | 0.390 | 0.1267 | 0.1267 |
| 2016-17 | Worcester Academy | NE-Prep-Girls | 22 | 13 | 13 | 26 | 1.180 | 0.3833 | 0.3833 |
| 2017-18 | Worcester Academy | NE-Prep-Girls | 27 | 17 | 20 | 37 | 1.370 | 0.4450 | 0.4450 |
| 2018-19 | Worcester Academy | NE-Prep-Girls | 27 | 20 | 18 | 38 | 1.410 | 0.4580 | 0.4580 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2022-23 | Amherst | NESCAC | JR | 30 | 7 | 14 | 21 | 0.700 |
| 2021-22 | Amherst | NESCAC | SO | 23 | 8 | 10 | 18 | 0.783 |
| 2019-20 | Amherst | NESCAC | FR | 27 | 10 | 9 | 19 | 0.704 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Kelly Pannek | USHS-MN-W · 2013-14 · 3.08 PPG | 1.073 | Minnesota |
| Phoebe Staenz | NE-Prep-Girls · 2012-13 · 1.38 PPG | 0.680 | Yale |
| Bridget Carey | NE-Prep-Girls · 2012-13 · 1.38 PPG | 0.357 | Brown |
| Dana Rasmussen | USHS-MN-W · 2013-14 · 2.96 PPG | 0.167 | Ohio State |
| Reagan Haley | USHS-MN-W · 2012-13 · 2.92 PPG | 0.108 | Minnesota Duluth |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Hailey Adair | 2011-12 · 1.52 PPG | 0.630 | Wisconsin-Superior | WIAC |
| Bella Mardesich | 2023-24 · 1.44 PPG | 0.667 | Curry | NEHC |
| Emma Peterson | 2016-17 · 1.74 PPG | 0.552 | Wisconsin-Eau Claire | WIAC |
| Bre Simon | 2012-13 · 0.96 PPG | 1.000 | Hamline | MIAC |
| Kaitlyn VanTassel | 2012-13 · 1.32 PPG | 0.720 | 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.