
Atlantic 10 Conference
High MajorWomen's Basketball · 14 teams · 167 scored athletes
Last updated: November 13, 2026 · refreshed daily
Avg NIL Score
Teams

Rhode Island Rams
12 scored players
61.1
Avg

Saint Joseph's Hawks
14 scored players
55.7
Avg

George Washington Revolutionaries
14 scored players
52.0
Avg

Davidson Wildcats
10 scored players
51.9
Avg

Richmond Spiders
11 scored players
51.1
Avg

Saint Louis Billikens
11 scored players
50.1
Avg

Dayton Flyers
12 scored players
49.9
Avg

George Mason Patriots
12 scored players
49.3
Avg

Fordham Rams
12 scored players
48.8
Avg

Duquesne Dukes
9 scored players
48.1
Avg

VCU Rams
11 scored players
47.8
Avg

La Salle Explorers
13 scored players
43.9
Avg

Loyola Chicago Ramblers
13 scored players
43.2
Avg

St. Bonaventure Bonnies
13 scored players
41.0
Avg
Top Athletes

Ally Sweeney
G · Richmond Spiders

Alyssa Koerkenmeier
C · Saint Louis Billikens

Gabby Casey
G · Saint Joseph's Hawks

Macy Spencer
G · VCU Rams

Sophia Vital
G · Rhode Island Rams

Rachel Ullstrom
G · Richmond Spiders

Delanie Hill
G · Rhode Island Rams

Aleah Snead
G · Saint Joseph's Hawks

Gabby Reynolds
G · George Washington Revolutionaries

Tyonna Bailey
G · Saint Louis Billikens
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 →