[RchW]

Originally Posted by Mets Man

Perhaps your charts seem to look normal because the talent randomness is switching up the good players into bad players and the bad players into good players so the numbers in terms of talented players stays leveled and normalized.

What I'm saying is, perhaps for every Wade Boggs, Don Mattingly, Roger Clemens etc etc who turn to duds, there is a Rafael Santana, John Cerutti, Nelson Liriano who turns into a star.

If this is the case though, it doesn't make it realistic or functional. Yes, there should be a few cases of stars turning into duds AND some cases of duds turning into stars, BUT this should be the exception, NOT the norm. If indeed stars are switching places with the duds to make the league look completely different after a few years (in terms of who the top performers are) then that's still a problem. Sure from a statistical point of view you're numbers look good, they work out fine. But there's still a problem there. Doesn't anybody else think there is a problem when your league's top performers are no longer recognizable by the 5th year into your league?

For your MLB 2011 league, would you be able to check who the top performers are and see if we recognize them? Could you do this after like 6-8 years into the league. Are any of the stars of 2011 still stars by 2018? If you happen to find one player, then look inside his ratings and stats and see if he had sustained consistent ratings/stats (at a star level). See how many consistent years these guys put together before falling off track if they did fall off track. Do you have anybody that didn't fall off track? I'm not necessarily looking for Albert Pujols level performers. But just consistent star players who had sustained success (ratings and stats) through their prime years for at least 5 seasons. In real life, I can name tons of these type of cases (these type of consistent performers). Can you find any in your simulation?

I think your missing something. My charts are comparing my fictional league with real life baseball in 2011. My development and aging modifiers need work. If you look at the charts I have too many 30 somethings and not enough 24-28 year olds.

Edit: to be clear my charts are not normal. My age distribution is off compared to what it should be. If you can't see this please look again.

What I'm trying to say is that you cant just cherry pick names; you have to look at league wide data to establish what settings are best. You also must compare similar leagues. I can't and don't know if your league is set up the same way as mine.