College Basketball (Division I)
NCAA Basketball predictions & analytics
College basketball has more than 350 Division I teams, short seasons and lots of roster change. EdgeIQ's college basketball projections focus on efficiency, tempo, schedule strength and home court, and show data-quality labels where coverage is limited.
Upcoming NCAA Basketball games
What the NCAA Basketball model looks at
Adjusted efficiency
Points per possession for and against, adjusted for opponent strength.
Tempo
Possessions per game, which drives projected totals.
Home court
Stronger in college than in the NBA, especially in hostile arenas.
Strength of schedule
Essential when many teams rarely play each other.
Known limitations
- Data for smaller programs can be incomplete.
- Tournament games are played at neutral sites, which removes home court.
Measured results for every model version are published in the Model Lab. Projections are estimates, never guarantees.
Related reading
- How Sports Prediction Models WorkA plain-English tour of a sports prediction model: the data it learns from, the features it builds, how it turns them into a probability, and how it is tested before anyone relies on it.
- What Does a 70% Win Probability Actually Mean?A 70% win probability is not a prediction that a team will win. It is a statement about frequency. Here is how to read it, how to check it, and the mistakes people make with it.
- Understanding Brier Score in Sports PredictionsThe Brier score measures how good probability forecasts are, not just whether picks were right. Worked examples, benchmarks and the common traps when comparing models.
- Why Sports Prediction Models Get Games WrongSome misses are the model working as intended; others reveal real weaknesses. How to tell the difference, with examples from EdgeIQ's own evaluation.