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 | Pursuit of Excellence | CSSHL-U18W | 28 | 25 | 30 | 55 | 1.964 | 0.4500 | 0.4500 |
| 2019-20 | Pursuit of Excellence | CSSHL-U18W | 5 | 6 | 8 | 14 | 2.800 | 0.6415 | 0.6415 |
| 2025-26 | New York Sirens | PWHL | 28 | 2 | 7 | 9 | 0.321 | N/A | N/A |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2024-25 | Clarkson | ECAC-W | SR | 40 | 17 | 28 | 45 | 1.125 |
| 2023-24 | Clarkson | ECAC-W | JR | 40 | 15 | 19 | 34 | 0.850 |
| 2022-23 | Clarkson | ECAC-W | SO | 40 | 23 | 29 | 52 | 1.300 |
| 2021-22 | Clarkson | ECAC-W | FR | 35 | 4 | 6 | 10 | 0.286 |
| 2020-21 | Minnesota | WCHA-W | FR | 13 | 1 | 5 | 6 | 0.462 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| 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 |
| Kelly Pannek | USHS-MN-W · 2013-14 · 3.08 PPG | 1.073 | Minnesota |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Celia Midtbo | 2022-23 · 1.73 PPG | 0.840 | Saint Mary's (MN) | MIAC |
| Mikaila Rubin | 2016-17 · 2.21 PPG | 0.654 | Nazareth | UCHC |
| Amber Tilander | 2015-16 · 2.21 PPG | 0.655 | St. Scholastica | NCHA |
| Madi Nolan | 2016-17 · 1.75 PPG | 0.826 | Wisconsin-River Falls | WIAC |
| Erica Power | 2013-14 · 1.40 PPG | 1.038 | Gustavus Adolphus | 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.