
Southland Conference
Women's Basketball · 12 teams · 142 scored athletes
Last updated: September 4, 2026 · refreshed daily
Avg NIL Score
Teams

Stephen F. Austin Ladyjacks
9 scored players
61.3
Avg

McNeese Cowgirls
10 scored players
55.6
Avg

UT Rio Grande Valley Vaqueros
12 scored players
52.3
Avg

Northwestern State Lady Demons
13 scored players
49.1
Avg

East Texas A&M Lions
14 scored players
48.6
Avg

Lamar Cardinals
13 scored players
48.5
Avg

Nicholls Colonels
12 scored players
47.9
Avg

Incarnate Word Cardinals
12 scored players
47.9
Avg

SE Louisiana Lady Lions
11 scored players
47.0
Avg

Houston Christian Huskies
12 scored players
45.0
Avg

Texas A&M-Corpus Christi Islanders
11 scored players
43.1
Avg

LSU New Orleans Privateers
13 scored players
42.4
Avg
Top Athletes

Charlotte O'Keefe
F · UT Rio Grande Valley Vaqueros

Jalayah Ingram
G · UT Rio Grande Valley Vaqueros

Vernell Atamah
F · Northwestern State Lady Demons

Nya Valentine
G · Northwestern State Lady Demons

Dakota Howard
F · McNeese Cowgirls

Aliyah Collins
G · SE Louisiana Lady Lions

Tiani Ellison
F · East Texas A&M Lions

Jalencia Pierre
G · McNeese Cowgirls

Ashlyn Traylor-Walker
G · Stephen F. Austin Ladyjacks

Kaylinn Kemp
G · Stephen F. Austin Ladyjacks
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 →