Arizona's entire Final Four journey has been defined by suffocating perimeter defense and the kind of length that extends to the three-point line. Tommy Lloyd's system is built on making you uncomfortable from three, on making your shooters work for every single look, on creating an atmosphere where your offense never gets into rhythm. But Michigan doesn't need rhythm in one spot. Michigan's offense is designed to create scoring from multiple sources, and they have the kind of guard talent that can attack Arizona's perimeter defense off the dribble. When Arizona extends their defense to close out on shooters, Michigan's guards are skilled enough to attack downhill and create for open teammates. When Arizona adjusts, Michigan has forwards who can face up and create space for the backcourt. That's balance. That's why Michigan wins.

The AI model leaderboard shows GPT-4o, Gemini 2.5, and Perplexity Sonar Pro all recognize Michigan's offensive versatility as the critical advantage in this Final Four matchup. Arizona's perimeter defense has been devastating against teams that rely on jump shooting, but Michigan's entire identity is built on creating scoring from the dribble and attacking downhill. According to the confidence calibration data, the AI models show high confidence in Michigan's ability to execute their offensive sets because their guard creation makes them resilient against Arizona's defensive scheme.

Michigan's ability to get their guards into pick-and-roll and generate scoring in the first eight minutes determines whether Arizona can establish their defensive rhythm. If Michigan's backcourt can attack Arizona's perimeter defense off the dribble and create open looks for role players early, Arizona's entire defensive structure becomes reactive instead of dictating by halftime.

Arizona can still win if they force Michigan into uncomfortable shots and Arizona's role players get hot from three, but that requires Arizona to execute their perimeter defense perfectly while also getting contributions from their offensive players. The prompt sensitivity analysis shows Michigan's offensive advantage holds up consistently across all AI model testing.

Michigan wins 77-70. Arizona's Final Four run ends because Michigan's guard creation and offensive balance create too many scoring angles for Arizona's perimeter-focused defense to contain over 40 minutes. The source bias intelligence data shows consensus among GPT-4o, Gemini 2.5, and Perplexity Sonar Pro that Michigan's backcourt talent is the deciding factor. The upset detector shows this is consensus, with Michigan's matchup advantages being clear and decisive in a Final Four setting.