
Atlantic Coast Conference
Power 4Women's Basketball · 18 teams · 218 scored athletes
Last updated: July 30, 2026 · refreshed daily
Avg NIL Score
Teams

Duke Blue Devils
10 scored players
63.6
Avg

Notre Dame Fighting Irish
10 scored players
61.7
Avg

NC State Wolfpack
11 scored players
60.3
Avg

North Carolina Tar Heels
14 scored players
60.1
Avg

Louisville Cardinals
14 scored players
60.0
Avg

Virginia Tech Hokies
11 scored players
58.7
Avg

Wake Forest Demon Deacons
12 scored players
58.3
Avg

Stanford Cardinal
15 scored players
57.7
Avg

Miami Hurricanes
13 scored players
57.2
Avg

Georgia Tech Yellow Jackets
10 scored players
57.1
Avg

Virginia Cavaliers
13 scored players
56.6
Avg

Florida State Seminoles
10 scored players
56.2
Avg

Syracuse Orange
15 scored players
55.2
Avg

Clemson Tigers
12 scored players
55.2
Avg

California Golden Bears
13 scored players
54.3
Avg

SMU Mustangs
14 scored players
53.6
Avg

Boston College Eagles
10 scored players
52.5
Avg

Pittsburgh Panthers
11 scored players
52.1
Avg
Top Athletes

Hannah Hidalgo
G · Notre Dame Fighting Irish

Kymora Johnson
G · Virginia Cavaliers

Taina Mair
G · Duke Blue Devils

Toby Fournier
F · Duke Blue Devils

Zoe Brooks
G · NC State Wolfpack

Uche Izoje
C · Syracuse Orange

Zamareya Jones
G · NC State Wolfpack

Khamil Pierre
F · NC State Wolfpack

Mackenzie Nelson
G · Virginia Tech Hokies

Talayah Walker
G · Georgia Tech Yellow Jackets
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 →