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 |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Proctor/Hermantown High (W) | USHS-MN-W | 21 | 18 | 17 | 35 | 1.667 | 0.2517 | 0.2517 |
| 2021-22 | Proctor/Hermantown High (W) | USHS-MN-W | 27 | 28 | 14 | 42 | 1.556 | 0.2349 | 0.2349 |
| 2022-23 | Proctor/Hermantown High (W) | USHS-MN-W | 30 | 17 | 10 | 27 | 0.900 | 0.1359 | 0.1359 |
| 2023-24 | Proctor/Hermantown High (W) | USHS-MN-W | 31 | 25 | 24 | 49 | 1.581 | 0.2387 | 0.2387 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Bemidji State | CHA-W | SO | 35 | 4 | 7 | 11 | 0.314 |
| 2024-25 | Bemidji State | CHA-W | FR | 37 | 5 | 2 | 7 | 0.189 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Kiki Radke | USHS-MN-W · 2012-13 · 1.58 PPG | 0.273 | Bemidji State |
| Brooke Madsen | USHS-MN-W · 2012-13 · 1.60 PPG | 0.600 | Penn State |
| Lydia Passolt | USHS-MN-W · 2013-14 · 1.60 PPG | 0.095 | Bemidji State |
| Sara Hjalmarsson | SDHL · 2012-13 · 0.20 PPG | 0.657 | Providence |
| Demi Gardner | USHS-MN-W · 2013-14 · 1.55 PPG | 0.250 | Minnesota State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Grace Karakas | 2023-24 · 1.38 PPG | 0.417 | SUNY Cortland | SUNYAC |
| Abigail Chamernick | 2022-23 · 1.17 PPG | 0.500 | Hamline | MIAC |
| Emily Heid | 2013-14 · 1.00 PPG | 0.593 | Wisconsin-Superior | WIAC |
| Makenna Kadrlik | 2021-22 · 1.54 PPG | 0.375 | Wisconsin-River Falls | WIAC |
| Payton Rudiger | 2013-14 · 1.33 PPG | 0.435 | 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.