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 | Minnehaha United (W) | USHS-MN-W | 26 | 4 | 7 | 11 | 0.423 | 0.0639 | 0.0639 |
| 2020-21 | Gentry Academy (women) | USHS-MN-W | 22 | 29 | 16 | 45 | 2.046 | 0.3089 | 0.3089 |
| 2021-22 | Gentry Academy (women) | USHS-MN-W | 31 | 49 | 26 | 75 | 2.419 | 0.3653 | 0.3653 |
| 2022-23 | Gentry Academy (women) | USHS-MN-W | 24 | 35 | 42 | 77 | 3.208 | 0.4845 | 0.4845 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | St. Thomas | CHA-W | JR | 36 | 4 | 6 | 10 | 0.278 |
| 2024-25 | St. Thomas | CHA-W | SO | 34 | 6 | 8 | 14 | 0.412 |
| 2023-24 | St. Thomas | CHA-W | FR | 36 | 4 | 5 | 9 | 0.250 |
| 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 |
|---|---|---|---|---|
| Celia Midtbo | 2022-23 · 1.73 PPG | 0.667 | Saint Mary's | MIAC |
| Kristin Chivers | 2011-12 · 1.36 PPG | 0.862 | Elmira | UCHC |
| Sarah Markey | 2009-10 · 1.52 PPG | 0.769 | Salve Regina | NEHC |
| Chloe Summerfield | 2014-15 · 2.36 PPG | 0.500 | Wisconsin-Eau Claire | WIAC |
| Bre Simon | 2014-15 · 1.17 PPG | 1.000 | Hamline | 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.