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 | Armstrong/Cooper High | USHS-MN-W | 16 | 0 | 0 | 0 | 0.000 | N/A | N/A |
| 2021-22 | Armstrong/Cooper High | USHS-MN-W | 25 | 16 | 11 | 27 | 1.080 | 0.1631 | 0.1631 |
| 2022-23 | Armstrong/Cooper High | USHS-MN-W | 27 | 17 | 11 | 28 | 1.037 | 0.1566 | 0.1523 |
| 2023-24 | Armstrong/Cooper High | USHS-MN-W | 27 | 28 | 16 | 44 | 1.630 | 0.2461 | 0.2290 |
| Season | School | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|
| 2025-26 | Wisconsin-Stevens Point | WIAC | SO | 14 | 2 | 0 | 2 | 0.143 |
| 2024-25 | Wisconsin-Stevens Point | WIAC | FR | 7 | 0 | 0 | 0 | 0.000 |
| Player | League · Season · PPG | FR College PPG | School |
|---|---|---|---|
| Lindsay Roethke | USHS-MN-W · 2013-14 · 1.52 PPG | 0.027 | UConn |
| Sydney Brodt | USHS-MN-W · 2013-14 · 1.54 PPG | 0.600 | Minnesota Duluth |
| 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 |
| Demi Gardner | USHS-MN-W · 2013-14 · 1.55 PPG | 0.250 | Minnesota State |
| Player | Junior Season · PPG | FR College PPG | School | Conference |
|---|---|---|---|---|
| Bailey Vesper | 2024-25 · 1.44 PPG | 0.393 | Saint Benedict | MIAC |
| Rylan Kissel | 2023-24 · 0.96 PPG | 0.577 | Bethel | MIAC |
| Victoria Nelson | 2023-24 · 1.15 PPG | 0.480 | St. Scholastica | NCHA |
| Makenna Kadrlik | 2022-23 · 1.46 PPG | 0.375 | Wisconsin-River Falls | WIAC |
| Avery Engbrecht | 2022-23 · 1.44 PPG | 0.370 | 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.