Southeastern Conference
Power 4Women's Basketball · 16 teams · 167 scored athletes
Last updated: September 4, 2026 · refreshed daily
Avg NIL Score
Teams
Oklahoma Sooners
9 scored players
65.8
Avg
LSU Tigers
12 scored players
65.5
Avg
South Carolina Gamecocks
9 scored players
65.0
Avg
Texas Longhorns
12 scored players
62.5
Avg
Kentucky Wildcats
6 scored players
61.9
Avg
Vanderbilt Commodores
11 scored players
61.1
Avg
Mississippi State Bulldogs
10 scored players
59.2
Avg
Georgia Lady Bulldogs
10 scored players
58.8
Avg
Tennessee Lady Volunteers
10 scored players
58.5
Avg
Missouri Tigers
11 scored players
57.8
Avg
Ole Miss Rebels
9 scored players
57.3
Avg
Florida Gators
11 scored players
56.9
Avg
Alabama Crimson Tide
14 scored players
52.9
Avg
Arkansas Razorbacks
11 scored players
51.5
Avg
Texas A&M Aggies
10 scored players
51.5
Avg
Auburn Tigers
12 scored players
49.2
Avg
Top Athletes
Mikayla Blakes
G · Vanderbilt Commodores
Joyce Edwards
F · South Carolina Gamecocks
MiLaysia Fulwiley
G · LSU Tigers
Madison Booker
F · Texas Longhorns
Liv McGill
G · Florida Gators
Clara Strack
C · Kentucky Wildcats
Mikaylah Williams
G · LSU Tigers
Ny'Ceara Pryor
G · Texas A&M Aggies
Aaliyah Chavez
G · Oklahoma Sooners
Raegan Beers
C · Oklahoma Sooners
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). 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 →