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 | Moorhead High (W) | USHS-MN-W | 25 | 5 | 5 | 10 | 0.400 | 0.0604 | 0.0604 |
| 2019-20 | Moorhead High (W) | USHS-MN-W | 25 | 6 | 9 | 15 | 0.600 | 0.0906 | 0.0906 |
| 2020-21 | Moorhead High (W) | USHS-MN-W | 20 | 19 | 8 | 27 | 1.350 | 0.2039 | 0.2039 |
| 2021-22 | Moorhead High (W) | USHS-MN-W | 28 | 18 | 22 | 40 | 1.429 | 0.2157 | 0.2157 |
| 2022-23 | Moorhead High (W) | USHS-MN-W | 31 | 25 | 23 | 48 | 1.548 | 0.2338 | 0.2338 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Sacred Heart | NEWHA | JR | 35 | 8 | 10 | 18 | 0.514 |
| 2024-25 | Sacred Heart | NEWHA | SO | 34 | 5 | 8 | 13 | 0.382 |
| 2023-24 | Maine | HEA-W | FR | 7 | 1 | 0 | 1 | 0.143 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| 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 |
| Brooklynn Schugel | USHS-MN-W · 2012-13 · 1.54 PPG | 0.270 | Minnesota Duluth |
| Taylor Wente | USHS-MN-W · 2013-14 · 1.54 PPG | 0.658 | Minnesota |
| Sydney Brodt | USHS-MN-W · 2013-14 · 1.54 PPG | 0.600 | Minnesota Duluth |
| 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 |
| Jenna Allen | 2023-24 · 0.93 PPG | 0.586 | Augsburg | MIAC |
| Riley Viner | 2011-12 · 1.83 PPG | 0.308 | Gustavus Adolphus | MIAC |
| Annika Lindgren | 2021-22 · 2.08 PPG | 0.273 | Hamline | MIAC |
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.