Based on 1 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 | 8 | 11 | 19 | 0.826 | 0.1860 | 0.1860 |
| 2019-20 | NAHA White 19U AAA | JWHL-U19 | 16 | 2 | 4 | 6 | 0.375 | 0.1455 | 0.1455 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2024-25 | St. Norbert | NCHA | SR | 31 | 9 | 24 | 33 | 1.065 |
| 2023-24 | St. Norbert | NCHA | JR | 26 | 9 | 12 | 21 | 0.808 |
| 2022-23 | St. Norbert | NCHA | SO | 24 | 14 | 14 | 28 | 1.167 |
| 2021-22 | St. Norbert | NCHA | FR | 26 | 7 | 11 | 18 | 0.692 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Kiki Radke | USHS-MN-W · 2013-14 · 1.24 PPG | 0.273 | Bemidji State |
| Mac Johnson | USHS-MN-W · 2013-14 · 1.22 PPG | 0.125 | St. Cloud State |
| Joie Phelps | USHS-MN-W · 2013-14 · 1.26 PPG | 0.182 | Cornell |
| Natalie Snodgrass | USHS-MN-W · 2012-13 · 1.20 PPG | 1.000 | UConn |
| Kaylee Druk | USHS-MN-W · 2012-13 · 1.20 PPG | 0.000 | Syracuse |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Gracyn Knowles | 2024-25 · 0.92 PPG | 0.548 | Wisconsin-River Falls | WIAC |
| Avery Engbrecht | 2023-24 · 1.27 PPG | 0.370 | Wisconsin-Stevens Point | WIAC |
| Emma Bradbury | 2021-22 · 0.58 PPG | 0.840 | Elmira | UCHC |
| Cheyenne Abear | 2015-16 · 0.56 PPG | 0.875 | Hamline | MIAC |
| Samantha Moore | 2010-11 · 2.20 PPG | 0.222 | Lindenwood | WCHA-W |
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.