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 | 24 | 34 | 58 | 2.071 | 0.4746 | 0.4746 |
| 2024-25 | Ottawa Charge | PWHL | 30 | 2 | 6 | 8 | 0.267 | N/A | N/A |
| 2025-26 | Seattle Torrent | PWHL | 30 | 7 | 9 | 16 | 0.533 | N/A | N/A |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2023-24 | Colgate | ECAC-W | GR | 40 | 22 | 39 | 61 | 1.525 |
| 2022-23 | Colgate | ECAC-W | SR | 40 | 25 | 46 | 71 | 1.775 |
| 2021-22 | Colgate | ECAC-W | JR | 39 | 15 | 38 | 53 | 1.359 |
| 2020-21 | Colgate | ECAC-W | SO | 23 | 9 | 12 | 21 | 0.913 |
| 2019-20 | Colgate | ECAC-W | FR | 38 | 10 | 22 | 32 | 0.842 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Jessie Aney | USHS-MN-W · 2012-13 · 3.17 PPG | 0.267 | UConn |
| Kelly Pannek | USHS-MN-W · 2013-14 · 3.08 PPG | 1.073 | Minnesota |
| Emma Nuutinen | SMLIIGA-W · 2012-13 · 1.25 PPG | 0.559 | North Dakota |
| 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 |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Abby Hansberger | 2021-22 · 0.93 PPG | 1.643 | Concordia (WI) | NCHA |
| Kristin Chivers | 2013-14 · 1.78 PPG | 0.862 | Elmira | UCHC |
| Jordan Hansen | 2014-15 · 1.44 PPG | 1.067 | Hamline | MIAC |
| Brianna Breiland | 2011-12 · 2.40 PPG | 0.633 | Wisconsin-River Falls | WIAC |
| Gracia Munoz | 2021-22 · 3.04 PPG | 0.500 | Lake Forest | NCHA |
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.