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 | Fergus Falls High (W) | USHS-MN-W | 25 | 5 | 7 | 12 | 0.480 | 0.0725 | 0.0725 |
| 2018-19 | Fergus Falls High (W) | USHS-MN-W | 25 | 8 | 14 | 22 | 0.880 | 0.1329 | 0.1329 |
| 2019-20 | Fergus Falls High (W) | USHS-MN-W | 25 | 11 | 9 | 20 | 0.800 | 0.1208 | 0.1208 |
| 2020-21 | Fergus Falls High (W) | USHS-MN-W | 20 | 14 | 9 | 23 | 1.150 | 0.1736 | 0.1736 |
| 2021-22 | Fergus Falls High (W) | USHS-MN-W | 26 | 33 | 22 | 55 | 2.115 | 0.3194 | 0.3194 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Elmira | UCHC | JR | 24 | 3 | 7 | 10 | 0.417 |
| 2023-24 | Elmira | UCHC | SO | 29 | 6 | 9 | 15 | 0.517 |
| 2022-23 | Elmira | UCHC | FR | 11 | 1 | 1 | 2 | 0.182 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Sylvia Marolt | USHS-MN-W · 2012-13 · 2.12 PPG | 0.000 | Bemidji State |
| Demi Gardner | USHS-MN-W · 2012-13 · 2.12 PPG | 0.250 | Minnesota State |
| Taylor Williamson | USHS-MN-W · 2013-14 · 2.14 PPG | 0.395 | Minnesota |
| Rebekah Kolstad | USHS-MN-W · 2012-13 · 2.09 PPG | 0.057 | North Dakota |
| Catherine Skaja | USHS-MN-W · 2012-13 · 2.08 PPG | 0.342 | Minnesota |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Lauren Ballinger | 2023-24 · 1.38 PPG | 0.556 | Wisconsin-Eau Claire | WIAC |
| Laura Denchfield | 2017-18 · 1.16 PPG | 0.667 | St. Catherine | MIAC |
| Jenna Hoops | 2016-17 · 0.96 PPG | 0.808 | Wisconsin-Superior | WIAC |
| Amanda Sergent | 2014-15 · 1.16 PPG | 0.667 | Wisconsin-Superior | WIAC |
| Rachel Anderson | 2015-16 · 1.28 PPG | 0.607 | St. Scholastica | 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.