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10-03-2012, 08:31 AM | #1 | |
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BTW, Most statisticians only count HR once when calculating runs created (Since counting them for RBI and R creates an artificial number and is not statistically sound). Looking at the numbers that way, Cabrera accounts for 74 runs (42+52-19), Trout for 65 (28+49-12). That's not a very big separation in the key stats for Cabrera's case. And RBI and R are not definitive numbers in a small sample size, IMO, since they're entirely dependent on the team around the players. Truth is neither player is a "clear case" over the other. They're both deserving, and I won't complain regardless of who wins. I would vote for Trout, personally, because he can help you win games in any way a baseball player can possibly help a team win games. Cabrera can win them with his bat - which is tremendous - but that's about it.
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"You gotta love livin', cause dying is a pain in the ass." ---- Sinatra Last edited by duncan_idaho; 10-03-2012 at 08:41 AM.. |
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10-03-2012, 08:39 AM | #2 | |
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10-03-2012, 09:02 AM | #3 | |
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That's just stupid. |
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10-03-2012, 09:19 AM | #4 | |
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Adding up RBI and runs scored is a fine indicator of runs produced. Subtracting home runs doesn't give you a better idea of a player's production. All it does is add an element of complexity to a formula that is more accurate when it's kept simple. |
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10-03-2012, 09:28 AM | #5 | |
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When you start combining counting statistics, you have to account for duplication like that. You want to talk about runs knocked in, sure, you count the HR as an RBI. You want to talk about runs scored, same thing. When you want to talk about the runs that Player A contributed to his team in a given period compared to the runs that Player B contributed, though... Player A's home runs still only accounted for one run. Giving him credit for them in R and RBI (without subtracting the HR count from the total) makes it look like Player A contributed (number equal to home runs) more runs than he actually did.
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10-03-2012, 09:36 AM | #6 | |
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This just proves my point that when you try to make statistics too complex, they lose their validity. And regarding WAR, I'm glad you mentioned that Fangraphs and Baseball America can't even manage to agree how WAR should be calculated. That's another thing about WAR that has always made me question its usefulness. Last edited by Lex Luthor; 10-03-2012 at 09:41 AM.. |
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10-03-2012, 09:53 AM | #7 | |
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But there is a statistical flaw in counting the same occurrence in two lists, then adding the two lists together without accounting for the double-dip. Think about the way accounting works. It would be like adding a sale to an individual counter for the salesman, adding it to the total company sales, and then adding the salesman's figures to the total company figures again.
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