Big Ten Conference
Power 4Women's Basketball · 18 teams · 148 scored athletes
Last updated: June 6, 2026
Avg NIL Score
Teams
UCLA Bruins
8 scored players
79.1
Avg
Maryland Terrapins
11 scored players
73.6
Avg
Nebraska Cornhuskers
9 scored players
72.9
Avg
Ohio State Buckeyes
8 scored players
72.7
Avg
Iowa Hawkeyes
9 scored players
71.7
Avg
Michigan Wolverines
8 scored players
70.9
Avg
USC Trojans
8 scored players
69.7
Avg
Penn State Lady Lions
7 scored players
68.5
Avg
Oregon Ducks
9 scored players
67.2
Avg
Minnesota Golden Gophers
8 scored players
67.1
Avg
Wisconsin Badgers
5 scored players
66.6
Avg
Washington Huskies
7 scored players
65.0
Avg
Indiana Hoosiers
7 scored players
64.4
Avg
Northwestern Wildcats
6 scored players
63.6
Avg
Michigan State Spartans
13 scored players
63.6
Avg
Purdue Boilermakers
11 scored players
62.8
Avg
Illinois Fighting Illini
8 scored players
61.9
Avg
Rutgers Scarlet Knights
6 scored players
56.6
Avg
Top Athletes
Shay Ciezki
G · Indiana Hoosiers
Oluchi Okananwa
G · Maryland Terrapins
Lauren Betts
C · UCLA Bruins
Kiki Rice
G · UCLA Bruins
Jazzy Davidson
G · USC Trojans
Britt Prince
G · Nebraska Cornhuskers
Jaloni Cambridge
G · Ohio State Buckeyes
Kennedy Blair
G · Michigan State Spartans
Ava Heiden
C · Iowa Hawkeyes
Kiyomi McMiller
G · Penn State Lady Lions
Methodology
The NILmetrics Score is a 0-100 rating that combines on-court performance, market demand signals, social presence, and reliability into a single number. Like Elo for chess or KenPom for basketball, it measures a player's relative standing in the college basketball NIL market — not a guaranteed dollar value or future deal price.
Performance weighs recent box-score production. Market reflects program tier, conference visibility, and demand signals. Social captures verified follower scale. Reliability rewards healthy minutes over a full sample. We update scores after every Sunday's full sync.
Methodology note: women's basketball calibration is developing as the dataset grows. Treat scores as directional while the sample expands.
Read the full methodology →