Big 12 Conference
Power 4Women's Basketball · 16 teams · 188 scored athletes
Last updated: October 22, 2026 · refreshed daily
Avg NIL Score
Teams
West Virginia Mountaineers
13 scored players
65.1
Avg
Oklahoma State Cowgirls
13 scored players
64.0
Avg
Utah Utes
10 scored players
60.5
Avg
Arizona Wildcats
10 scored players
60.4
Avg
Kansas State Wildcats
9 scored players
60.2
Avg
TCU Horned Frogs
10 scored players
58.9
Avg
Texas Tech Lady Raiders
12 scored players
58.8
Avg
Arizona State Sun Devils
13 scored players
57.4
Avg
Colorado Buffaloes
13 scored players
57.2
Avg
Kansas Jayhawks
12 scored players
57.0
Avg
BYU Cougars
11 scored players
56.6
Avg
Houston Cougars
10 scored players
56.0
Avg
Baylor Bears
14 scored players
55.4
Avg
Iowa State Cyclones
12 scored players
53.7
Avg
UCF Knights
12 scored players
52.5
Avg
Cincinnati Bearcats
14 scored players
47.8
Avg
Top Athletes
Liv McGill
G · Oklahoma State Cowgirls
Audi Crooks
C · Oklahoma State Cowgirls
S'Mya Nichols
G · Kansas Jayhawks
Delaney Gibb
G · BYU Cougars
Jadyn Wooten
G · TCU Horned Frogs
Noelani Cornfield
G · Arizona Wildcats
Filipa Barros
G · Utah Utes
Jalayah Ingram
G · Texas Tech Lady Raiders
Zahirah Walton
G · West Virginia Mountaineers
Ellie Brueggemann
G · Oklahoma State Cowgirls
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 →