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 | White Bear Lake High (women) | USHS-MN-W | 18 | 3 | 2 | 5 | 0.278 | 0.0419 | 0.0419 |
| 2021-22 | White Bear Lake High (women) | USHS-MN-W | 27 | 10 | 5 | 15 | 0.556 | 0.0839 | 0.0839 |
| 2022-23 | White Bear Lake High (women) | USHS-MN-W | 26 | 7 | 15 | 22 | 0.846 | 0.1278 | 0.1310 |
| 2023-24 | White Bear Lake High (women) | USHS-MN-W | 27 | 8 | 18 | 26 | 0.963 | 0.1454 | 0.1429 |
| 2024-25 | White Bear Lake High (women) | USHS-MN-W | 26 | 14 | 22 | 36 | 1.385 | 0.2091 | 0.1975 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Gustavus Adolphus | MIAC | FR | 26 | 1 | 2 | 3 | 0.115 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Sydney Brodt | USHS-MN-W · 2012-13 · 1.32 PPG | 0.600 | Minnesota Duluth |
| Jackie Pieper | USHS-MN-W · 2013-14 · 1.32 PPG | 0.324 | Merrimack |
| Natalie Snodgrass | USHS-MN-W · 2013-14 · 1.33 PPG | 1.000 | UConn |
| Nicole Guagliardo | USHS-W · 2013-14 · 2.27 PPG | 0.156 | Mercyhurst |
| Sylvia Marolt | USHS-MN-W · 2013-14 · 1.35 PPG | 0.000 | Bemidji State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Aubrey Hansen | 2024-25 · 1.20 PPG | — | Gustavus Adolphus | MIAC |
| Sara Lind | 2011-12 · 1.44 PPG | 0.333 | St. Olaf | MIAC |
| Alana Laser | 2024-25 · 1.13 PPG | 0.417 | Albertus Magnus | UCHC |
| Addison Moos | 2024-25 · 0.68 PPG | 0.680 | Concordia | MIAC |
| Gracyn Knowles | 2023-24 · 0.81 PPG | 0.548 | 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.