College Basketball Analytics Guides

Everything you need to understand NCAA basketball analytics and data

NET Rankings Explained

Learn how NCAA NET Rankings work, how they're calculated, and why they matter for March Madness selection and seeding.

Data-driven strategies for building a winning March Madness bracket based on historical seed performance and analytics.

Understand the NCAA quadrant system and how quad records shape tournament resumes and at-large selections.

Inside the CHD Scout prediction engine: methodology, accuracy data, and how it compares to KenPom, BartTorvik, and ESPN BPI.

College Hoops Data is a free alternative to KenPom with efficiency ratings, NET rankings, predictions, and player analytics.

How offensive and defensive efficiency ratings work in college basketball and why they're the best predictor of team quality.

Complete guide to the 2026 NCAA Tournament with key dates, selection process, seed analysis, and free predictions.

Which teams are on the NCAA Tournament bubble? Understanding at-large selection criteria, bubble metrics, and how to track bubble status.

Historical NCAA Tournament seed matchup win rates. See how often 12-seeds beat 5-seeds, first round upset trends, and bracket insights.

Learn how strength of schedule (SOS) is calculated in college basketball and why it matters for NCAA Tournament selection.

Data-driven analysis of home court advantage in NCAA basketball. How much does playing at home matter and which venues have the strongest edge?