[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
THE BOOK cover
The Unwritten Book
is Finally Written!

Read Excerpts & Reviews
E-Book available
as Amazon Kindle or
at iTunes for $9.99.

Hardcopy available at Amazon
SABR101 required reading if you enter this site. Check out the Sabermetric Wiki. And interesting baseball books.
Shop Amazon & Support This Blog
RECENT FORUM TOPICS
Jul 12 15:22 Marcels
Apr 16 14:31 Pitch Count Estimators
Mar 12 16:30 Appendix to THE BOOK - THE GORY DETAILS
Jan 29 09:41 NFL Overtime Idea
Jan 22 14:48 Weighting Years for NFL Player Projections
Jan 21 09:18 positional runs in pythagenpat
Oct 20 15:57 DRS: FG vs. BB-Ref

Advanced

Tangotiger Blog

A blog about baseball, hockey, life, and whatever else there is.

Thursday, July 24, 2014

Why WAR and not WAA?

There is a very strong appeal to WAA (wins above average).  Average is so easy to calculate.  So, why WAR and not WAA?  Think about pitchers and nonpitchers.  How much is an average pitcher worth and how much is an average nonpitcher worth?

First, what is an average pitcher, other than say he's a .500 pitcher??  We also need quantity.  Not all .500 pitchers throw 180 innings.  Some of them only throw 80 innings.  Therefore, we need to merge quality and quantity to give us production.  You can do this in two-steps, first compare both to average (i.e., .500), and then figure out the value of 180 innings and 80 innings.  Let's say you come up with something that seems reasonable, then what?

The second thing you have to figure out is how to  handle the .450 pitcher who throws 150 innings and the .500 pitcher who throws 80 innings.  Should they be valued the same?  Should the .450 pitcher produce more?  Does the .500 pitcher produce more?  And "production" is "contributions toward winning". 

As you try to come up with various comparison points, you will eventually get to the point that no matter how many innings a pitcher throws, his production does not increase.  That let's say you decide that a .400 pitcher who throws 8 innings, 80 innings, or 180 innings, it'll be irrelevant to a team's fortunes.  His production, regardless of the number of innings, simply does not increase a team's fortunes.  This is what we call the replacement-level player. 

You establish the replacement-level baselines for all kinds of players and for all kinds of roles, be it starting pitcher, relief pitcher, PH, DH, C, SS, CF, 1B, etc. 

And you also want to be careful that as a player moves from role to role that his production value doesn't change.  It could change of course.  Johan Santana switching from reliever to starter for example is the most prominent example, and points to the fact that he was either terribly miscast, or, it was part of the "process" (ala Earl Weaver's plan).  But for established pitchers, we shouldn't expect their production level to change by switching between SP and RP.  The idea is that a pitcher's talent level will dictate his role and his usage level and his leverage.  Naturally, not everyone is optimized, so in some cases every year, pitchers are miscast.

Similarly with position players, as players are moved from SS to 2B or from CF to LF, their overall production level should remain fairly constant.  In some cases it's not, as we're still identifying their optimal spot (say rookie Ryan Braun).  But by and large, a player's production level won't depend on his position or role.

And that's what WAR gives you, that it establishes these various baselines so that you can in fact compare players across roles, and the confidence we have is that the "best player available for that role not in MLB" is worth the same regardless of role: nothing more than league-minimum.

WAR is the great equalizer.  Is it perfect?  What exactly is?  But it's the best framework we've got, and rejecting it because it's not perfect still requires you to follow some model, however arbitrary, biased and capricious.  And that model you will follow, even if it's just a jumble in your head, will be worse than WAR.

(16) Comments • 2014/08/05 • Statistical_Theory

Latest...

COMMENTS

Nov 23 14:15
Layered wOBAcon

Nov 22 22:15
Cy Young Predictor 2024

Oct 28 17:25
Layered Hit Probability breakdown

Oct 15 13:42
Binomial fun: Best-of-3-all-home is equivalent to traditional Best-of-X where X is

Oct 14 14:31
NaiveWAR and VictoryShares

Oct 02 21:23
Component Run Values: TTO and BIP

Oct 02 11:06
FRV v DRS

Sep 28 22:34
Runs Above Average

Sep 16 16:46
Skenes v Webb: Illustrating Replacement Level in WAR

Sep 16 16:43
Sacrifice Steal Attempt

Sep 09 14:47
Can Wheeler win the Cy Young in 2024?

Sep 08 13:39
Small choices, big implications, in WAR

Sep 07 09:00
Why does Baseball Reference love Erick Fedde?

Sep 03 19:42
Re-Leveraging Aaron Judge

Aug 24 14:10
Science of baseball in 1957

THREADS

July 24, 2014
Why WAR and not WAA?