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THE BOOK--Playing The Percentages In Baseball

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Tuesday, January 18, 2011

James Player Rater 1994

Carson compiles the Bill James data to see how he did.  He was also nice enough to send me his file, on which I ran a regression of James’ dollar values and their eventual WAR.  The correlation was r=.60, which, I dunno, sounds high for something like this.

The regression equation is this:

expected WAR = 1.3 * James$ minus 16

Take for example James’ highest rated player: Cliff Floyd at 44$.  That would translate to an expected WAR of 41 (basically Jim Rice or Dave Parker).  Floyd got 27 WAR.  He also had Chipper at 40$, meaning 36 WAR, and he’s at 86 and counting. 

If you take James’ top 10 rated players, they averaged 36$, which means an expected 31 WAR for their career, and they got 39 WAR.

Working backwards, in order to estimate Chipper at 86 WAR, his James$ should have been 78$.

Anyway, just fascinating stuff, and I will make my plea for all forecasters to please release your historical data to us researchers.  Anything more than ten years old.  It’s useless to you, and a goldmine to us.


(2) Comments • 2011/01/18 • SabermetricsForecasting
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