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 |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | NAHA White 19U AAA | JWHL-U19 | 27 | 14 | 10 | 24 | 0.889 | 0.3450 | 0.3389 |
| 2024-25 | Skellefteå AIK | SDHL | 32 | 5 | 9 | 14 | 0.438 | 0.5117 | 0.4924 |
| 2025-26 | Seattle Torrent | PWHL | 20 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2023-24 | RPI | ECAC-W | GR | 35 | 6 | 15 | 21 | 0.600 |
| 2022-23 | RPI | ECAC-W | SR | 34 | 4 | 13 | 17 | 0.500 |
| 2021-22 | RPI | ECAC-W | JR | 32 | 11 | 10 | 21 | 0.656 |
| 2020-21 | Robert Morris | CHA-W | SO | 25 | 7 | 3 | 10 | 0.400 |
| 2019-20 | Robert Morris | CHA-W | FR | 36 | 1 | 4 | 5 | 0.139 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Emma Nuutinen | SMLIIGA-W · 2012-13 · 1.25 PPG | 0.559 | North Dakota |
| Jessie Aney | USHS-MN-W · 2012-13 · 3.17 PPG | 0.267 | UConn |
| Nicole Schammel | USHS-MN-W · 2013-14 · 3.44 PPG | 0.611 | Minnesota State |
| 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 |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Geneva Lloyd | 2006-07 · 0.93 PPG | 1.000 | Amherst | NESCAC |
| Courtney Moriarty | 2013-14 · 0.74 PPG | 1.259 | SUNY Plattsburgh | SUNYAC |
| Alyson Niebur | 2016-17 · 1.56 PPG | 0.600 | Wisconsin-River Falls | WIAC |
| Makenna Aure | 2021-22 · 1.00 PPG | 0.926 | Wisconsin-River Falls | WIAC |
| Abbey Hardwick | 2017-18 · 1.36 PPG | 0.680 | Concordia | 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.