AI MARCH MADNESS 2026
AI March Madness 2026
MARCH MADNESS2026

AI Research and Analysis - March Madness 2026

Research articles and in-depth analysis from the AI March Madness 2026 team. Topics include AI prediction methodology, source citation analysis, confidence calibration insights, prediction drift patterns, upset detection, prompt sensitivity testing, and tournament strategy.

This section contains 8 research articles covering how GPT-4o, Gemini 2.5, and Perplexity Sonar Pro approach NCAA Tournament predictions. Each article examines a specific aspect of AI forecasting with data from our automated collection pipeline.

Blog
Mar 17, 2026/Tournament

FIRST FOUR PREVIEW: AI CONSENSUS AND WHERE THE MODELS DISAGREE

Four games. Eight teams. These are the matchups no one puts in their pre-printed bracket - the play-in games that seed the 64-team field. First Four is exactly the kind of high-variance environment where AI models struggle most.

AR
AI Research Team
AI Research
Mar 17, 20264 min read
AI MARCH MADNESS
TOURNAMENT · 2026
First FourPreview2026

WHY FIRST FOUR IS HARD FOR AI

First Four matchups are typically between teams with similar efficiency profiles - that's often why they're in the play-in. Minor injuries, travel fatigue, and home crowd effects dominate. Models trained on season-long data have less signal to work with.

READING THE CONSENSUS

Full First Four predictions are visible on the Bracket page once collection runs complete March 18. The consensus pick - if all three models agree - is worth noting. But disagreements may be more interesting: when one model bucks consensus on a play-in game, that's where source-driven reasoning is most visible.

LIVE DATA

See this tracked in real-time as the tournament plays out.

OPEN DASHBOARD
BACK TO ALL ARTICLES
OTHER ARTICLES
AR
AI Research Team
Mar 17, 2026/Analysis

HOW AI MODELS APPROACH MARCH MADNESS: A DEEP DIVE INTO THEIR REASONING

When we ask GPT-4o, Gemini 2.5, and Perplexity to predict an NCAA game, each model draws on a fundam

6 min read
IT
Intelligence Team
Mar 17, 2026/Sources

THE SOURCES AI CITES MOST - AND WHY IT MATTERS FOR BRACKET ACCURACY

Citation patterns across 3 models reveal sharp divergence: Perplexity leans heavily on team analytic

4 min read
LIVE PICKS
Predictions will appear here once collection begins · Tournament starts March 19
Predictions will appear here once collection begins · Tournament starts March 19