What is Madden NFL 27’s AI system for learning realistic ball-carrier decisions called?

Madden NFL 27’s AI system for learning realistic ball-carrier decisions is called ML Ball Carrier Pathing.

The system uses machine learning to make computer-controlled runners react more naturally to developing plays. Rather than following only fixed pathing rules, it studies examples of successful user-controlled running decisions.

The model considers factors such as defender positioning, blocker leverage, open lanes, field spacing, sideline distance, end-zone distance, speed, and momentum. It then uses those patterns to improve lane selection, cutbacks, and leverage reads.

ML Ball Carrier Pathing is not a single move or button-driven mechanic. It is an underlying artificial-intelligence system designed to make non-user-controlled runners feel less predictable. It is also easy to confuse with Madden NFL 27’s separate CoachSpeak Preplay system, which provides recommendations before the snap rather than controlling running decisions after it.