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 23 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.
SAINT LOUIS' TOURNAMENT RUN MEETS MICHIGAN'S TALENT: WHY THE WOLVERINES ADVANCE
Saint Louis came into this tournament with the kind of quiet confidence that mid-major programs carry when they've made a tournament run before. Michigan came in with the kind of loaded roster that doesn't have to earn confidence because their talent speaks for itself.
BS
BracketBurner Staff
Tournament Analysis
Mar 21, 20263 min read
AI MARCH MADNESS
TOURNAMENT · 2026
MichiganSaint LouisRound of 32Predictions
THE TALENT GAP
Michigan can beat you with their guards, their forwards, in transition, or in the halfcourt. Saint Louis has one way to beat you: efficient, spaced-out basketball. That way works until it runs into a defense that can guard multiple positions at scale.
Saint Louis' defense is competent, but it's not the kind of suffocating unit that forces Michigan into 15 turnovers. And if Michigan takes care of the ball, their offense is too talented to contain.
THE X-FACTOR
Michigan's ability to defend Saint Louis' perimeter and force them to the paint determines whether Saint Louis can stay close. If Michigan's guards can stay attached to shooters without fouling, Saint Louis' offense becomes one-dimensional.
OUR PREDICTION
Michigan wins 74-64. Saint Louis' tournament ends because Michigan's talent and offensive versatility create too many scoring angles to contain over 40 minutes.
LIVE DATA
See this tracked in real-time as the tournament plays out.
