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 |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | NAHA Red 16U | JWHL-U16 | 23 | 21 | 11 | 32 | 1.391 | 0.3133 | 0.3252 |
| 2019-20 | NAHA White 19U AAA | JWHL-U19 | 18 | 23 | 11 | 34 | 1.889 | 0.7331 | 0.7331 |
| 2021-22 | NAHA White 19U AAA | 19U-AAA-W | 78 | 46 | 74 | 120 | 1.538 | 0.4897 | 0.4866 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Penn State | WCHA-W | SR | 31 | 26 | 22 | 48 | 1.548 |
| 2024-25 | Penn State | WCHA-W | JR | 38 | 24 | 29 | 53 | 1.395 |
| 2023-24 | Penn State | WCHA-W | SO | 38 | 17 | 36 | 53 | 1.395 |
| 2022-23 | Penn State | WCHA-W | FR | 38 | 22 | 25 | 47 | 1.237 |
| 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 |
| Kelly Pannek | USHS-MN-W · 2013-14 · 3.08 PPG | 1.073 | Minnesota |
| Nicole Schammel | USHS-MN-W · 2013-14 · 3.44 PPG | 0.611 | Minnesota State |
| Phoebe Staenz | NE-Prep-Girls · 2012-13 · 1.38 PPG | 0.680 | Yale |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Nora Carstensen | 2024-25 · 1.97 PPG | 0.593 | Wisconsin-Eau Claire | WIAC |
| Celia Midtbo | 2022-23 · 1.73 PPG | 0.667 | Saint Mary's | MIAC |
| Noelle Hemr | 2023-24 · 1.18 PPG | 0.964 | Gustavus Adolphus | MIAC |
| Chloe Summerfield | 2014-15 · 2.36 PPG | 0.500 | Wisconsin-Eau Claire | WIAC |
| Hailey Herdine | 2015-16 · 1.00 PPG | 1.185 | Wisconsin-River Falls | 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.