
Southland Conference
Women's Basketball · 12 teams · 160 scored athletes
Last updated: November 13, 2026 · refreshed daily
Avg NIL Score
Teams

Stephen F. Austin Ladyjacks
9 scored players
57.8
Avg

McNeese Cowgirls
15 scored players
47.1
Avg

UT Rio Grande Valley Vaqueros
13 scored players
45.5
Avg

Nicholls Colonels
11 scored players
45.5
Avg

Lamar Cardinals
15 scored players
45.5
Avg

SE Louisiana Lady Lions
12 scored players
42.7
Avg

Incarnate Word Cardinals
16 scored players
42.5
Avg

Northwestern State Lady Demons
15 scored players
41.9
Avg

East Texas A&M Lions
17 scored players
41.6
Avg

Texas A&M-Corpus Christi Islanders
11 scored players
41.1
Avg

LSU New Orleans Privateers
12 scored players
39.6
Avg

Houston Christian Huskies
14 scored players
38.9
Avg
Top Athletes

Charlotte O'Keefe
F · UT Rio Grande Valley Vaqueros

Nya Valentine
G · Northwestern State Lady Demons

Aliyah Collins
G · SE Louisiana Lady Lions

Jalencia Pierre
G · McNeese Cowgirls

Ashlyn Traylor-Walker
G · Stephen F. Austin Ladyjacks

Kaylinn Kemp
G · Stephen F. Austin Ladyjacks

Jorja Elliott
G · Incarnate Word Cardinals

Jacei Denley
G · Lamar Cardinals

Harmanie Dominguez
G · Stephen F. Austin Ladyjacks

Sh'Diamond McKnight
G · Nicholls Colonels
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 →