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If that's all you want to know, then simply use 1-year recalc for a historical game, look at the real life SB vs. CS totals for the players with the best base stealing ratings, and then figure out how the game translates from percentage rates of success to the ratings.
Of course, keep in mind that the game is using league totals as its basis, so, strictly speaking, the ratings may not be based solely on the individual's stats. They may also be relative to how those stats compare to the overall league numbers.
It's no different than looking at historical players who hit .350 vs. .325 vs. .320 vs. .300 and figuring out how this computes to ratings for that given season relative to all the other players. Of course, you would have to use the editor and look at the ratings for the game engine's full scale to really refine this. 1-10 or 1-20 doesn't compare to how the game handles ratings behind the scenes, which is on a much larger scale of rating.
If you did this for enough eras in baseball history, including the latest MLB season, then you'd have a general idea of what the ratings mean relative to the rates of success.
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