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 |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Amherst/Sweet Home/Clarence | USHS-W | 21 | 0 | 10 | 10 | 0.476 | 0.0393 | 0.0393 |
| 2017-18 | Amherst/Sweet Home/Clarence | USHS-W | 20 | 1 | 3 | 4 | 0.200 | 0.0165 | 0.0165 |
| 2019-20 | Amherst/Sweet Home/Clarence | USHS-W | 16 | 5 | 4 | 9 | 0.562 | 0.0465 | 0.0465 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2024-25 | Buffalo State | SUNYAC | SR | 25 | 1 | 5 | 6 | 0.240 |
| 2023-24 | Buffalo State | SUNYAC | JR | 24 | 1 | 5 | 6 | 0.250 |
| 2022-23 | Buffalo State | SUNYAC | SO | 25 | 2 | 6 | 8 | 0.320 |
| 2021-22 | Buffalo State | SUNYAC | FR | 20 | 1 | 3 | 4 | 0.200 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Hannah Schultz | USHS-MN-W · 2012-13 · 0.12 PPG | 0.267 | Union |
| Anna Erickson | USHS-MN-W · 2012-13 · 0.13 PPG | 0.030 | Vermont |
| Paige Sorensen | USHS-MN-W · 2012-13 · 0.09 PPG | 0.529 | Merrimack |
| Katarina Seper | USHS-MN-W · 2012-13 · 0.16 PPG | 0.050 | RPI |
| McKenzie Sederberg | USHS-MN-W · 2012-13 · 0.17 PPG | 0.125 | Minnesota State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Talia Stein Trujillo | 2024-25 · 0.29 PPG | 0.167 | Suffolk | CNE |
| Hannah Graunke | 2022-23 · 0.23 PPG | 0.179 | St. Norbert | NCHA |
| Kristi Peters | 2013-14 · 0.42 PPG | 0.125 | Manhattanville | UCHC |
| Anna Elizarkov | 2024-25 · 0.30 PPG | 0.148 | Southern Maine | LittleEast |
| Jenna Britz | 2024-25 · 0.20 PPG | 0.240 | Wisconsin-Stevens Point | 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.