
Southwestern Athletic Conference
Women's Basketball · 12 teams · 151 scored athletes
Last updated: October 22, 2026 · refreshed daily
Avg NIL Score
Teams

Texas Southern Tigers
8 scored players
46.1
Avg

Jackson State Lady Tigers
13 scored players
45.6
Avg

Southern Jaguars
11 scored players
44.9
Avg

Arkansas-Pine Bluff Golden Lions
14 scored players
43.6
Avg

Grambling Lady Tigers
13 scored players
42.4
Avg

Alabama A&M Bulldogs
15 scored players
41.9
Avg

Bethune-Cookman Wildcats
9 scored players
41.8
Avg

Alcorn State Lady Braves
15 scored players
40.5
Avg

Florida A&M Rattlers
14 scored players
40.4
Avg

Alabama State Lady Hornets
18 scored players
40.3
Avg

Prairie View A&M Lady Panthers
8 scored players
38.3
Avg

Mississippi Valley State Devilettes
13 scored players
37.9
Avg
Top Athletes

Kiarra Henderson
G · Alcorn State Lady Braves

Nakia Cheatham
G · Alcorn State Lady Braves

Taliyah Logwood
G · Texas Southern Tigers

Jailah Pelly
G · Arkansas-Pine Bluff Golden Lions

Tahnyjia Purifoy
G · Florida A&M Rattlers

Indiya Bowen
G · Arkansas-Pine Bluff Golden Lions

Shaniah Nunn
SF · Grambling Lady Tigers

Khaniah Gardner
F · Arkansas-Pine Bluff Golden Lions

Jaileyah Cotton
G · Jackson State Lady Tigers

Jaida Belton
F · Alabama A&M Bulldogs
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 →