OK...I just spent some time finding weighted means, standard deviations, z-scores, and therefore adjusted offensive wins created figures to account for the spread of offense through the years. This is far from perfect, given the fact that talent distributions aren't normally distributed and the typical spread of PCA ratings is a little bit skewed in a given season/league. There's also the problem that GREAT seasons will sometimes have the ability to impact the standard deviation of the league win scoring rate, so great players with a lot of great seasons will have a tendency to pull themselves down...although minimally.

Just a first crack here and it raises a MAJOR eyebrow toward the possibility that Babe Ruth may not be lapping the field offensively as much as we think he is...

The top 30 in standard adjusted offensive wins created (this is calculated assuming all seasons fall on the same bell curve...with the alltime win-scoring rate of 0.00633 Wins/PA and the alltime weighted standard deviation of 0.00614):
I haven't attempted to plug that info into the GI method framework although doing so has the obvious advantage that the average scoring rate is always known so I don't have to go around calculating it. This is just career total wins, so obviously there are long-career biases, and I believe Ruth will still win the fight for "greatest" offensive player of all time...but look who leaped into first place on the career list...that would be one Tyrus Cobb.

Just a first crack here and it raises a MAJOR eyebrow toward the possibility that Babe Ruth may not be lapping the field offensively as much as we think he is...

The top 30 in standard adjusted offensive wins created (this is calculated assuming all seasons fall on the same bell curve...with the alltime win-scoring rate of 0.00633 Wins/PA and the alltime weighted standard deviation of 0.00614):

Code:

PlayerID CAR AOWC cobbty01 265.20 ruthba01 264.52 bondsba01 258.57 willite01 238.52 henderi01 237.42 musiast01 224.91 aaronha01 222.69 mayswi01 213.52 wagneho01 213.05 mantlmi01 207.43 speaktr01 200.48 ottme01 199.65 collied01 189.73 hornsro01 188.69 gehrilo01 187.89 robinfr02 184.72 morgajo02 175.97 thomafr04 165.60 yastrca01 164.91 foxxji01 160.04 jacksre01 156.24 lajoina01 154.22 rosepe01 153.56 brettge01 153.09 molitpa01 151.87 murraed02 148.92 matheed01 147.42 kalinal01 147.22 schmimi01 146.65 palmera01 143.52

## Comment