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 | East Grand Forks High (W) | USHS-MN-W | 24 | 11 | 4 | 15 | 0.625 | 0.0944 | 0.0944 |
| 2019-20 | East Grand Forks High (W) | USHS-MN-W | 23 | 23 | 12 | 35 | 1.522 | 0.2298 | 0.2298 |
| 2020-21 | Warroad High (W) | USHS-MN-W | 22 | 21 | 20 | 41 | 1.864 | 0.2814 | 0.2814 |
| 2021-22 | Warroad High (W) | USHS-MN-W | 30 | 48 | 38 | 86 | 2.867 | 0.4329 | 0.4329 |
| 2022-23 | Warroad High (W) | USHS-MN-W | 30 | 38 | 60 | 98 | 3.267 | 0.4933 | 0.4933 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Bemidji State | CHA-W | JR | 36 | 2 | 11 | 13 | 0.361 |
| 2024-25 | Bemidji State | CHA-W | SO | 37 | 3 | 8 | 11 | 0.297 |
| 2023-24 | Bemidji State | CHA-W | FR | 36 | 2 | 4 | 6 | 0.167 |
| 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 · 2012-13 · 3.45 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 |
|---|---|---|---|---|
| Allie Bussey | 2018-19 · 1.12 PPG | 1.062 | St. Scholastica | NCHA |
| Alex Toupal | 2011-12 · 1.84 PPG | 0.652 | Amherst | NESCAC |
| Cheyenne Abear | 2016-17 · 1.36 PPG | 0.875 | Hamline | MIAC |
| Sydney Simone | 2015-16 · 1.12 PPG | 1.071 | Lake Forest | NCHA |
| 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.