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 14, 2026/Analysis

UPSET DETECTION: WHICH AI IS MOST LIKELY TO CALL THE CHAOS EARLY

In a typical 64-team field, there are 6–8 upsets where a seed 10 or higher beats a seed 7 or lower in the first two rounds. Correctly calling even 2–3 of those gives a massive bracket edge.

DT
Data Team
Data Analysis
Mar 14, 20265 min read
AI MARCH MADNESS
ANALYSIS · 2026
UpsetsSeedingsAnalysis

THE UPSET HYPOTHESIS

Our hypothesis: Perplexity's heavy use of analytics domains (KenPom, Barttorvik) makes it more likely to surface statistical mismatches between seed and actual team quality. A 12-seed with elite defensive efficiency that's seeded low due to a weak conference often looks identical to a 5-seed by the numbers.

MEDIA NARRATIVE VS. ANALYTICS SIGNAL

GPT-4o, which leans on national media coverage, may be more consensus-following - and therefore worse at identifying under-covered upsets. Gemini, with its broader data blend, likely sits between the two.

We track upset accuracy separately on the Upsets page. Round of 64 will be the first real test - First Four games don't produce classic upsets.

LIVE DATA

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

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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
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Predictions will appear here once collection begins · Tournament starts March 19
Predictions will appear here once collection begins · Tournament starts March 19