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Position: Defense DOB: 2007-10-30 Country: USA
NCAA-W Projection
Wisconsin-Superior
Verbal WIAC D3W

Set Commitment

NCAA Division I Women's

Projected PPG — WCHA-W
0.05
Developing (<0.25)
Base NCAAe-W PPG0.0498
Conf. Strength0.997
Year Adj (FR)×0.80
Confidencehigh
Seasons Used2

NCAA D3W

Projected PPG — Division Avg
0.11
Developing (<0.35)
Base D3e-W PPG0.1207
Conf. Strength1.000
Year Adj (FR)×0.80
Confidencehigh
Seasons Used2

D1W / D3W Likelihood

2%
NCAA D1W
18%
NCAA D3W
80%
Club / Other

Based on 40 comparable players

Career Trajectory
Dashed = raw PPG  ·  Solid = age-adjusted NCAAe-W PPG  ·  Green = actual college PPG

Pre-College Seasons

Most women's college players come directly from high school hockey. Junior or HS season stats below (when available on Elite Prospects).

SeasonTeamLeagueGP GAPtsPPG NCAAe-W PPGAge-Adjusted
2021-22 Hutchinson High USHS-MN-W 24 3 5 8 0.333 0.0503 0.0547
2023-24 Hutchinson High USHS-MN-W 27 4 3 7 0.259 0.0392 0.0391
2024-25 Hutchinson High USHS-MN-W 25 4 6 10 0.400 0.0604 0.0579
2025-26 Hutchinson High USHS-MN-W 25 4 4 8 0.320 0.0483 0.0444
NCAAe-W = points/game translated to NCAA-W equivalent  ·  COVID-flagged seasons in yellow

Historical Comparables — NCAA D1W

PlayerLeague · Season · PPG FR College PPGSchool
Ellie Larson USHS-MN-W · 2012-13 · 0.30 PPG 0.143 RIT
Sylvie Wallin USHS-MN-W · 2012-13 · 0.28 PPG 0.333 Princeton
Kate Glover USHS-MN-W · 2012-13 · 0.35 PPG 0.167 Harvard
Brinna Dochniak USHS-MN-W · 2012-13 · 0.24 PPG 0.111 RIT
Grace Bowlby USHS-MN-W · 2012-13 · 0.24 PPG 0.316 Wisconsin

Historical Comparables — NCAA D3W

PlayerJunior Season · PPG FR College PPGSchoolConference
Sophie Johnson 2023-24 · 0.77 PPG 0.143 St. Scholastica NCHA
Lydia Walsh 2022-23 · 0.25 PPG Elmira UCHC
Karin Knapp 2015-16 · 0.29 PPG Wisconsin-Eau Claire WIAC
Anika Mader 2021-22 · 0.25 PPG Gustavus Adolphus MIAC
Caroline Thompson 2022-23 · 0.31 PPG 0.320 Southern Maine NEHC

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.