No Pepper,
I'm no expert on OOTP2006 at this point, but I did do a lot of thinking, and editing, of ballpark factors because after scanning the guide and this forum extensively, I realized that no one has any idea of how much to scale these numbers and why.
Some sources seem to base ballpark factors on recent player performances; I think the fellow who provided the MLB stadium data (Halos 17:
http://www.ootpdevelopments.com/boar...d.php?t=123302) quoted Bill James for his ballpark factors, but why would Comerica Park have a triples factor of 203 (2.030)? Maybe there were some fast in-the-gap hitters on the Tigers in recent years? I would not want that to be the reason why my fictional Tigers hit twice as many triples as any one else.
Other approaches to ballpark factors have involved Excel formulas that calculate the factors from the stadium dimensions. This approach seemed more logical to me but I noticed that the results varied according to whose model I used. Or what version.
One thing that I think I can be sure on; the stadium dimensions are there for reference only; your changing the wall distances and heights has no effect on the factors.
If you want some advice from a mere "bat boy" at this point, you may want to consider doing what I did which is to set all ballpark factors to 1.000 to avoid upsetting the balance of your results. At least until OOTP clarifies what the proper range of variation should be and what can be expected at the extremes.
Some folks in this forum wisely say that you should test, test, test to get the model right, and I agree up to a point. I just don't want to have to test every last detail of this model, down to individual ballpark factors.