Also, I hate to bring this up, but the most important issue to me is the weight the AI gives to performance vs. ratings. As I detailed in a thread earlier about this, we have the ability to set the weight given to ratings to zero, and to have the AI use only stats to evaluate players. Yet, through some specific examples I posted in that other thread, it is beyond obvious that the game is not only using ratings to evaluate the players, it is ignoring very good stats from the prior year and either demoting or outright cutting players before the next season starts. It is impossible, in real-life baseball, for a guy to win 20 games one season and end up as an unsigned FA before the next season starts (putting aside contract issues, which are not the case here). Or, for that guy to then pitch the next year in AAA.
Have these issues been dealt with, and if we still have the ability to set percentages for how the AI evaluates players (ratings and stats for current, 1 and 2 years), does that function work properly? Can we actually set up a league in which the AI uses stats almost exclusively to evaluate players, instead of preemptively demoting or promoting them based on drops or bumps in talent levels that haven't shown up in on-field performance?
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M's pitcher Miguel Batista: "Now, I feel like I've had everything. I've talked pitching with Sandy Koufax, had Kenny G play for me. Maybe if I could have an interview with God, then I'd be served. I'd be complete."
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