Big Ten Conference
Power 4Women's Basketball · 18 teams · 198 scored athletes
Last updated: October 22, 2026 · refreshed daily
Avg NIL Score
Teams
Iowa Hawkeyes
11 scored players
70.2
Avg
USC Trojans
9 scored players
66.3
Avg
Ohio State Buckeyes
8 scored players
64.8
Avg
Maryland Terrapins
7 scored players
63.4
Avg
Minnesota Golden Gophers
11 scored players
61.5
Avg
Michigan State Spartans
12 scored players
60.6
Avg
Michigan Wolverines
12 scored players
60.3
Avg
Nebraska Cornhuskers
9 scored players
60.1
Avg
Oregon Ducks
11 scored players
59.6
Avg
UCLA Bruins
10 scored players
58.4
Avg
Washington Huskies
12 scored players
57.1
Avg
Illinois Fighting Illini
12 scored players
56.8
Avg
Wisconsin Badgers
16 scored players
54.8
Avg
Indiana Hoosiers
11 scored players
54.6
Avg
Purdue Boilermakers
9 scored players
54.1
Avg
Rutgers Scarlet Knights
12 scored players
51.2
Avg
Northwestern Wildcats
14 scored players
49.7
Avg
Penn State Lady Lions
12 scored players
45.9
Avg
Top Athletes
Jaloni Cambridge
G · Ohio State Buckeyes
JuJu Watkins
G · USC Trojans
Oluchi Okananwa
G · Maryland Terrapins
Hannah Wickstrom
G · Purdue Boilermakers
Ava Heiden
C · Iowa Hawkeyes
Jazzy Davidson
G · USC Trojans
Britt Prince
G · Nebraska Cornhuskers
Olivia Olson
G · Michigan Wolverines
Sayvia Sellers
G · Washington Huskies
Caia Rose
G · Wisconsin Badgers
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 →