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Seviien - I've tried your modifiers on a different league setup. I may need to change the modifiers simply because the league structure is different (3 major leagues w/ minors, 2 independent minor leagues and 2 foreign leagues).
Aging seems to look right at a glance, but I am experiencing the phenom problem you alluded to in your post, though.
1910 through 1920 looks weird with several players hitting 20+ home runs. 1921 through 1930 does develop some sluggers hitting 50+ home runs, but I need to do something to tone back batting averages - league leaders are consistently hitting over .430 with 3 to 4 players reaching this plateau per year.
You're probably right that improvements need to be made to the AI front to get better age distribution. OOTP probably needs to look at the comparison of established players versus rookies differently. Rookies seem to be getting the nod over the established players once the rookies' ratings are better, but maybe not enough consideration is being given to the established player's prior year(s) stats. Make it more like real life baseball; when a starter who went 18-10 the prior year loses a couple miles of hour on his fast ball, a real-life manager wouldn't immediately replace him in the lineup with a 24 year old rookie. The real-life manager would at least give the established starter some starts before he decides to move him to the bullpen. Once the stats start dropping, then the decision to replace him with the rookie should be made.
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