Southeastern Conference
Power 4Women's Basketball · 16 teams · 172 scored athletes
Last updated: November 13, 2026 · refreshed daily
Avg NIL Score
Teams
LSU Tigers
9 scored players
69.0
Avg
South Carolina Gamecocks
10 scored players
68.3
Avg
Mississippi State Bulldogs
10 scored players
67.2
Avg
Alabama Crimson Tide
15 scored players
62.4
Avg
Vanderbilt Commodores
11 scored players
62.2
Avg
Tennessee Lady Volunteers
13 scored players
61.6
Avg
Kentucky Wildcats
7 scored players
59.7
Avg
Ole Miss Rebels
13 scored players
59.6
Avg
Missouri Tigers
8 scored players
58.5
Avg
Oklahoma Sooners
12 scored players
58.1
Avg
Arkansas Razorbacks
7 scored players
57.9
Avg
Georgia Lady Bulldogs
12 scored players
56.9
Avg
Texas Longhorns
10 scored players
56.2
Avg
Florida Gators
11 scored players
55.7
Avg
Auburn Tigers
12 scored players
47.7
Avg
Texas A&M Aggies
12 scored players
44.0
Avg
Top Athletes
Mikayla Blakes
G · Vanderbilt Commodores
Madison Booker
F · Texas Longhorns
Joyce Edwards
F · South Carolina Gamecocks
MiLaysia Fulwiley
G · LSU Tigers
Kiyomi McMiller
G · Florida Gators
Jada Williams
G · LSU Tigers
Clara Strack
C · Kentucky Wildcats
Mikaylah Williams
G · LSU Tigers
Aubrey Galvan
G · Vanderbilt Commodores
Doneelah Washington
F · Ole Miss Rebels
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 →