Big Ten Conference
Power 4Women's Basketball · 18 teams · 197 scored athletes
Last updated: November 13, 2026 · refreshed daily
Avg NIL Score
Teams
Iowa Hawkeyes
11 scored players
69.7
Avg
USC Trojans
9 scored players
65.8
Avg
Ohio State Buckeyes
8 scored players
64.8
Avg
Maryland Terrapins
8 scored players
64.3
Avg
Nebraska Cornhuskers
10 scored players
62.5
Avg
Oregon Ducks
11 scored players
61.3
Avg
Michigan State Spartans
12 scored players
61.2
Avg
Minnesota Golden Gophers
11 scored players
61.1
Avg
Michigan Wolverines
12 scored players
60.4
Avg
Indiana Hoosiers
9 scored players
59.0
Avg
UCLA Bruins
11 scored players
58.6
Avg
Illinois Fighting Illini
12 scored players
56.7
Avg
Washington Huskies
13 scored players
56.7
Avg
Wisconsin Badgers
15 scored players
56.2
Avg
Purdue Boilermakers
10 scored players
54.9
Avg
Rutgers Scarlet Knights
12 scored players
51.1
Avg
Northwestern Wildcats
14 scored players
50.4
Avg
Penn State Lady Lions
9 scored players
47.8
Avg
Top Athletes
Jaloni Cambridge
G · Ohio State Buckeyes
JuJu Watkins
G · USC Trojans
Britt Prince
G · Nebraska Cornhuskers
Kennedy Blair
G · Michigan State Spartans
Hannah Wickstrom
G · Purdue Boilermakers
Olivia Olson
G · Michigan Wolverines
Jazzy Davidson
G · USC Trojans
Katie Fiso
G · Oregon Ducks
Sayvia Sellers
G · Washington Huskies
Oluchi Okananwa
G · Maryland Terrapins
Methodology
The NILmetrics Score is a 0-100 rating that combines on-court performance, market demand signals, social presence, and risk assessment 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. Risk Assessment rewards durable availability over a full sample (a higher score means lower risk). Scores recalculate daily after the overnight game sync, with a full data refresh every Sunday.
Methodology note: women's basketball calibration is developing as the dataset grows. Treat scores as directional while the sample expands.
Read the full methodology →