Title: Dynamic AI Behavior Based on Opponent Analysis and Difficulty Level

Suggestion:

I suggest improving the CPU’s artificial intelligence by making it analyze the opponent’s playing style and adapt its behavior accordingly. This would make the gameplay feel more realistic and challenging, especially in Career Mode.

Currently, CPU difficulty levels mostly affect speed, passing accuracy, and pressure. But I propose that the AI should also change how it reacts based on how the user plays.

🔹 For example:

– If the opponent focuses on wing play, the AI should tighten wide areas and press fullbacks.

– If the opponent relies on short passes in the middle, the AI should close down the midfield.

– If the opponent is weak in aerial duels, the AI should attempt more long balls and crosses.

🔸 This adaptive behavior should scale with difficulty:

– Beginner: basic reactions, simple positioning

– Legendary: advanced tactical reactions, dynamic formation shifts, targeted pressing

🎯 The goal is to make the CPU feel less scripted and more like a human opponent — reacting, adapting, and trying to counter the user’s strength in real-time.

This kind of intelligent AI would greatly improve immersion and competitiveness in both offline and online modes.