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NCAAB Betting Model

College Basketball Betting With Elo Ratings

363 Division I teams rated. March Madness bracket probabilities. Find where our model disagrees with the market across every college basketball game.

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How Our NCAAB Model Works

Elo Ratings (K=32)

363 D-I teams rated with K=32. Recency decay at 0.92 captures hot streaks and slumps. Ratings carry over between seasons with regression to the mean.

Home Court: +100 Elo

College home court is massive—worth +100 Elo. Student sections and smaller arenas make this the largest home advantage in major American sports.

March Madness Ready

Neutral court adjustments for tournament games. Elo ratings are one of the best bracket predictors, mapping rating gaps directly to upset probabilities.

NCAAB-Specific Factors

College basketball has unique dynamics we capture in the model.

Home Court Advantage

+100 Elo

The largest home advantage in American sports. Student sections and intimate arenas create a massive edge for home teams.

Conference Play Weight

1.2x

Conference games are weighted 1.2x more than non-conference games because they better reflect team quality within competitive balance.

Tournament Neutral Court

0 HCA

March Madness and conference tournament games use neutral court settings. No home court advantage is applied.

Strength of Schedule

Elo-based

Because we rate every D-I team, strength of schedule is built into the Elo ratings. Beating a 1600-rated team is worth more than beating a 1400-rated team.

Season Regression

33% to mean

Between seasons, all Elo ratings regress 33% toward 1500. This accounts for roster turnover while preserving program strength.

Upset Probability

Direct from Elo

A 12-seed vs 5-seed upset probability comes directly from the Elo gap. Our model quantifies exact upset chances for every matchup.

College Basketball Betting FAQ

How do Elo ratings work for college basketball?
Each of the 363 Division I teams starts at 1500. We use K=32, recency decay at 0.92, and +100 home court advantage. The rating gap between two teams maps directly to a win probability. Higher K-factor than NBA because the college season has fewer games.
Can I use this for March Madness brackets?
Absolutely. Elo ratings are among the best predictors for March Madness outcomes. The rating gap between any two teams gives you an exact upset probability. Use these to find the optimal balance of chalk picks and calculated upsets in your bracket.
Why is home court bigger in college?
College home teams win 60-65% of games vs 56-58% in the NBA. Younger players are more affected by hostile environments, student sections create intense atmospheres, and smaller arenas amplify noise. We use +100 Elo (vs +55 in NBA) to capture this.
How does the model handle mid-major vs power conference?
Elo ratings naturally capture this. Power conference teams play tougher schedules, so their ratings are generally higher. But a strong mid-major (like a 27-4 team from the Mountain West) will have a legitimately high Elo if they've beaten quality opponents.

Get NCAAB Edges for March Madness

363 teams rated. Every game analyzed. Every bracket probability calculated.

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