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I would say that adaptive AI that copies working strategies is more realistic. The NFL is a copy-cat league, after all. The other part of that as someone earlier pointed out the need for realistic randomness as well. That would be just as hard to program. Things like teams getting too attached to a player and not moving on when they should. Sunk investment fallacy "I know he sucks, but we picked him in the first round, so he is going to keep starting till he gets better." There are things that happen in real life that we would call a bug in a sim.
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