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 |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Minnetonka High (W) | USHS-MN-W | 25 | 7 | 13 | 20 | 0.800 | 0.1208 | 0.1208 |
| 2020-21 | Minnetonka High (W) | USHS-MN-W | 23 | 20 | 17 | 37 | 1.609 | 0.2429 | 0.2429 |
| 2021-22 | Minnetonka High (W) | USHS-MN-W | 31 | 25 | 31 | 56 | 1.806 | 0.2728 | 0.2728 |
| 2022-23 | Minnetonka High (W) | USHS-MN-W | 30 | 16 | 25 | 41 | 1.367 | 0.2064 | 0.2064 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Minnesota Duluth | WCHA-W | JR | 38 | 8 | 6 | 14 | 0.368 |
| 2024-25 | Minnesota Duluth | WCHA-W | SO | 38 | 6 | 8 | 14 | 0.368 |
| 2023-24 | Minnesota Duluth | WCHA-W | FR | 39 | 3 | 4 | 7 | 0.179 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Sena Hanson | USHS-MN-W · 2012-13 · 1.36 PPG | 0.630 | Brown |
| Savannah Quandt | USHS-MN-W · 2012-13 · 1.36 PPG | 0.111 | Minnesota |
| Casey Leveillee | NE-Prep-Girls · 2012-13 · 0.63 PPG | 0.265 | Vermont |
| Sylvia Marolt | USHS-MN-W · 2013-14 · 1.35 PPG | 0.000 | Bemidji State |
| Mariah Gardner | USHS-MN-W · 2012-13 · 1.40 PPG | 0.071 | Minnesota State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Gracyn Knowles | 2024-25 · 0.92 PPG | 0.548 | Wisconsin-River Falls | WIAC |
| Laine Tomesch | 2012-13 · 1.62 PPG | 0.308 | Concordia (WI) | NCHA |
| Aizah-Roze Thompson | 2021-22 · 2.00 PPG | 0.250 | SUNY Plattsburgh | SUNYAC |
| Ellie McElhone | 2010-11 · 1.25 PPG | — | Hamline | MIAC |
| Sarah Montrose | 2016-17 · 1.25 PPG | — | St. Catherine | 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.