Quote:
Originally Posted by Brad K
The players previously listed are attempting more steals per single in the game than they did historically. (Yes, singles are a rough estimate of steal opportunities but its the one used in OOTP for historical accuracy checks.)
Steal Attempts Per Single
Name - Game - Historical
Joe Morgan .628 .499
Bert Campaneris .554 .479
Lou Brock .590 .554
Luis Aparicio .381 .305
Cesar Cedeno .655 .524
Maury Wills .590 .426
Bill North .650 .659
Willie Davis .590 .426
Willie Mays .311 .255
Bobby Bonds .622 .531
We have an outlier, Bill North, but otherwise all of the players attempts many more steal attempts in the Game than in real life. I'm wondering if perhaps the vicinity if .650 is a maximum that can be achieved in either the game of RL. That would be a possible explanation for North's performance. But still that would not explain his lower success rate. Interestingly, he has the second lowest success rate in the game and the lowest RL. Don't know how to interpret that.
If North can be explained then the rest of the data supports a theory.
1. In the game players are more likely to run against lower quality opposition (catchers with weaker arm rating, pitchers with lower hold rating).
2. If, in the game, if a player is asked to run more, he's used up the low quality opposition and so is exposed to higher quality opposition and his success rate drops.
3. In the game, AI managers are asking good stealers to attempt too many steals (all the players in the game played exclusively for AI controlled teams).
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Comments requested. I haven't posted this to the bugs forum because I'd like some input concerning the thoroughness of the documentation and whether conclusions are logical.
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manually go through and up their ratings.
manually go through and lower catcher ratings