
Big Ten Conference
Power 4Women's Basketball · 18 teams · 238 scored athletes
Last updated: July 21, 2026 · refreshed daily
Avg NIL Score
Teams

UCLA Bruins
10 scored players
75.6
Avg

Ohio State Buckeyes
11 scored players
71.2
Avg

Michigan Wolverines
14 scored players
71.0
Avg

Nebraska Cornhuskers
13 scored players
70.2
Avg

Maryland Terrapins
14 scored players
69.8
Avg

Iowa Hawkeyes
14 scored players
69.7
Avg

USC Trojans
13 scored players
68.7
Avg

Minnesota Golden Gophers
13 scored players
64.8
Avg

Purdue Boilermakers
12 scored players
64.6
Avg

Michigan State Spartans
22 scored players
62.4
Avg

Oregon Ducks
14 scored players
62.3
Avg

Washington Huskies
12 scored players
62.3
Avg

Penn State Lady Lions
12 scored players
61.2
Avg

Illinois Fighting Illini
13 scored players
59.8
Avg

Northwestern Wildcats
12 scored players
59.0
Avg

Wisconsin Badgers
14 scored players
58.8
Avg

Indiana Hoosiers
12 scored players
58.5
Avg

Rutgers Scarlet Knights
13 scored players
52.5
Avg
Top Athletes

JuJu Watkins
G · USC Trojans

Lauren Betts
C · UCLA Bruins

Shay Ciezki
G · Indiana Hoosiers

Jaloni Cambridge
G · Ohio State Buckeyes

Kiki Rice
G · UCLA Bruins

Britt Prince
G · Nebraska Cornhuskers

Jazzy Davidson
G · USC Trojans

Taylor Stremlow
G · Iowa Hawkeyes

Gabriela Jaquez
G · UCLA Bruins

Olivia Olson
G · Michigan Wolverines
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 →