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Everytime I read a post like this I actually think about all the posts on the trade AI...and how people say the AI needs to be more realistic. This is true...but I also think that the way a lot of people trade with the AI isn't very realistic.
Talking to people I have been in online leagues with about our solo leagues..and how they play...has given me the impression that people have to trade and trade quite often. It's not trading to be trading mind you...they must have a bevy of young SP studs in the wings......they must have young all stars up and down their lineup...and they must have the a AAA team to rival most major league clubs. By the time the young all star start getting in their late 20's they are traded away for the current young studs and prospects...and all you have to do is call up the stars in waiting to replace any vacancies that weren't filled with the recent trades.
My point is...I don't recall any GM who GM's this way in real-life. A lot of that I think is its harder to predict just how good someone will end up being. What ever is the fun way to play for a person is the way they should play....but if you find your self trading a lot or constantly trading for prospects to constantly have loaded farm system while maintaining a talented and inexpensive major league roster and than waiting for the current players to get to the point where they want the real $$$ and moving them on for more young cheap studs....than you have to realize that is not realistic.
For people who play that way or even partly that way...for the game to be harder with out them using house rules...Markus would have to make the AI try to play that way....meaning trading too much...always trading for young studs just as your current players on nearing then end of their arbitration years. I would hope Markus would not try and make the AI act that way. I don't use house rules myself...but I just try to make trades that the AI wouldn't attempt (of course that is subjective) and influenced by need due to injury, retirement, free agency, regression of ratings etc.
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