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Around SBN: The Animated GIFs Of January

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An exhaustive justification for FIP and other defense-independent pitching statistics (Part II here)

The financial benefits of making the playoffs may not manifest themselves in the way you had imagined

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A new book on statistics and probability in sports, including baseball

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The FIP piece was fantastic

I read through Tango’s original piece in which he develops the coefficients, but I don’t think I ever really understood what was going on. This, I understand. I still like tRA* better, at least in concept, because I’d rather regress stats appropriately rather than all the way to average (which is what tRA* is supposed to do). But I love FIP a little more tonight, and I’ve had a long-standing affair with it. :)
-j

by JinAZ on Oct 10, 2009 9:27 PM EDT reply actions  

Agreed about tRA

The next step would be to create a formula that’s not quite so linear.

by vivaelpujols on Oct 11, 2009 1:15 AM EDT up reply actions  

With tRA (not so much with the regressed version)...

…you have to ask yourself about the reliability of the underlying batted ball data.

by cwyers on Oct 11, 2009 2:00 AM EDT up reply actions  

Good point

The difference between a line drive and a fly ball is huge in terms of run and out value. That leaves either using the regressed version, which I don’t think is a bad idea, or using a modified tRA that only considers GB tendencies and lumps LDs and FBs into one.

by vivaelpujols on Oct 11, 2009 2:17 AM EDT up reply actions  

I thought about that as well

But I wonder if “air balls” would glaze over too much data, since there are huge differences and the distributions are not always the same. Would it consider just an average distribution between LD’s and FB’s if we lump them together?

And Colin, for the non-linearity question, couldn’t we use a BaseRuns model similar to what you did with FIP-BaseRuns, with the BABIP of each batted ball type used as the multiplicative factor for hits and the extra base hit estimator? You still have to figure out how to deal with batted ball data, but it won’t be as linear as FIP/tRA and you get to use the power of BaseRuns, as the article mentions.

by SFiercex4 on Oct 11, 2009 12:11 PM EDT up reply actions  

There are two ways to do it.

One is to come up with a BsR formula based upon the tRA formula. (It’s fairly straightforward to build a BsR formula from an LWTS formula, which is what tRA is.)

I present another method here.

by cwyers on Oct 11, 2009 12:58 PM EDT up reply actions  

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