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Thursday, February 25, 2010

Panas’ sabermetric primer book, part 2

By Tangotiger, 12:18 PM

Ok, I went back to read the email I sent Lee, and all my comments were of a technical review nature.  Personally, I think that all the people who put out books should do what we did, and show the first 2 or 3 pages of each chapter on a website.  It’s the virtual equivalent of “leafing through a book”.  Buying a book sight-unseen, and relying on the reviews of others is not the best way.  That’s why Amazon’s Look Inside is so very cool.

Anyway, Lee sent me a review copy, so let me try to give you some highlights.  First, here’s the table of contents:

Introduction .7
Chapter 1 – History of Baseball Statistics .10
Chapter 2 – Winning Games .17
Chapter 3 – Basic Batting .23
Chapter 4 – Total Batting Contribution .34
Chapter 5 – Linear Weights .47
Chapter 6 – Situational Hitting .55
Chapter 7 – Baserunning .62
Chapter 8 – Basic Pitching .71
Chapter 9 – Fielding Independent Pitching .82
Chapter 10 –Relief Pitching .93
Chapter 11 – Individual Fielding .99
Chapter 12 – Catcher Defense .113
Chapter 13 – Team Fielding .120
Chapter 14 – Adjusting for Environment.126
Chapter 15 – Total Player Contribution .132
Bibliography .143
Web Sites .146
Index .148

The first three chapters lays the foundation from going from basic stats to more involved (but not sabermetric) stats.  The target audience would be guys like Mike Silva and Will Carroll.  They should enjoy those chapters.

Chapter 4 is when he tries to get all of us on the same playing field, those that are into sabermetrics, and those who are keen on joining.  Lee does a great job in his progression of trying to introduce the readers from the basics to the more advanced stuff.  Chapters 5 and 6 is where he tries to get it to the next level.  The regulars here would be good with it, and I’d be interested to hear from the less math-y guys what they think.  I think Lee does a pretty good job here.  Chapter 7 is all about baserunning, and again, pretty good job.

He then gets into pitching, and I think his Chapter 9 is a pretty good one in terms of getting everyone on the same page.  Again, this is one where he tries to get the less math-y guys to understand the math part better.

The whole book is like that, he has also of tables and charts.  I would call this book an ideal book for SABR 101.  In this regard, Seidman’s Bridging the Statistical Gap would be a good companion as well.  Lee has more of the basis, while Eric has more of the studies.  Really, if you are quite not there yet with sabermetrics, or are just as the cusp of trying to get it, I’ll give a thumbs up to Lee’s book and Eric’s as well.

Lee also has a bibiliography, and I’ll show you what his last page looks like (click below).  As you can see, Lee really defers to the new guys on the block, rather than what most others do.  And for what it’s worth, since I have the PDF, I can do a quick search, and “James” 60 times, “Tango” appears 33 times, “Prospectus” 32 times, “Palmer” 22 times, “Lichtman” 18 times, “Stude” 14 times, “Tippett” 6 times.  That’s just to give you a flavor of who Lee introduces to the reader.

If you are a non-mathy guy, but want to understand sabermetrics better (you identify youself with Mike Silva and Will Carroll), than a huge thumbs up for this book.
If you are pretty much comfortable with sabermetrics, but still not there yet (you haven’t run any of your own studies), then a regular thumbs up.
If you are bathed in sabermetrics already, like I am, then it’s a so-so call.  It’s a decent read, you might learn a thing or two.  It’ll act more like a reference manual or a wiki. 


Studenmund, David, and The Hardball Times staff writers (2006). The Hardball Times Baseball
Annual 2006. Skokie, IL: ACTA Sports.
Studenmund, David, and The Hardball Times staff writers (2007). The Hardball Times Baseball
Annual 2007. Skokie, IL: ACTA Sports.
Studenmund, David, and The Hardball Times staff writers (2008). The Hardball Times Baseball
Annual 2008. Skokie, IL: ACTA Sports.
Tango, Tom, Lichtman, Mitchel, Dolphin Andrew (2007). The Book: Playing the Percentages in
Baseball. Dulles, VA: Potomac Books, Inc.
Thorn, John, Birnbaum, Phil, Deane, Bill (2004). Total Baseball: The Ultimate Baseball
Encyclopedia. Toronto, Ontario, Canada: Sports Media Publishing.
Thorn, John, Palmer, Pete (1985). The Hidden Game of Baseball. Garden City, NY: Doubleday
and Company, Inc.
Tippett, Tom (2002). Evaluating Defense. December 5, 2002, Diamond-Mind.com:
http://www.diamond-mind.com/articles/defeval.htm
Tippett, Tom (2003), Can Pitchers Prevent Hits on Balls in Play? July 21, 2003,
Diamond-Mind.com: http://www.diamond-mind.com/articles/ipavg2.htm
Woolner, Keith (2001). Introduction to VORP: Value Over Replacement Player. StatHead.com:
http://www.stathead.com/bbeng/woolner/vorpdescnew.htm

#1    Patriot      (see all posts) 2010/02/25 (Thu) @ 12:53

I think one of the great things Lee did with his book was get peer-review from a lot of folks.  I know Tango said that he reviewed some of it, I reviewed the section on run estimators, and I know there were a number of other internet sabermetricians that he asked for feedback.

Incidentally, I concur with Tango’s review.


#2    Tangotiger      (see all posts) 2010/02/25 (Thu) @ 13:05

FWIW, below was my technical review.  I just looked at what I said and what Lee did, and he corrected every single thing I said.  That is far different from other technical reviews I did where virtually everything I said was dismissed.  Lee is a true student.

Great job on Lee for taking these issues so very seriously.

***

Lee,

Thanks for the reminder. I spent the last half hour skimming through it. I’d change this: GPA = .45 x OBP + .25 X SLG

to the 1.8, 1, divide by 4… much easier to remember, otherwise it looks like the .45 and .25 were slapped together.

After runs and RBIs (p. 30), you should talk about RPI (runs participated in, also known as runsproduced, or R+RBI-HR).

“VORP is a proprietary statistic owned by Baseball Prospectus so we don’t have access to the actual formula in detail but we will discuss how it works in principle and how it should be interpreted. “

Actually, it’s explained in full on Keith’s site, stathead.com .

With FIP, you should highlight the sequencing issue, since that’s another difference between FIP and ERA.

Table 43 should be based on linear weights, not runs created. I know you got that from THT, but I tell studes every year that it’s wrong to do it that way.

The problem with quick ERA is that it makes no sense for guys with very low or very high BIP rates. At its extreme, if you allow 3 BIP for the season, does it matter what his GB% was? If he allowed 1 or 2 GB, would it matter? Of course not. But, that’s 33% and 66% for GB rates.

Fpr p.86, I would add my work: tangotiger.net/catchers.html

Which was further highlighted in the THT annual (2007 I think).

“So, Peavy’s ERA was 34% better than the league average pitcher after adjusting for league and ballpark effects. “

That’s not true. Is Eck 600% better?

“The WAR estimates assume that catchers are all average defensively. “

Probably better to say that “Fangraphs has not chosen a fielding metric for catchers, and so, for the time being, treats them all as average catchers.”

“that it has Baseball Prospectus proprietary statistics “

Proprietary METHODS…

“The drawback is that WAR values are only available back to 2002. “

Not true. True for Fangraphs, but there is also BaseballProjection.com , and it has a similar framework to the one I developed.

Good primer overall…

Tom


#3    Lee Panas      (see all posts) 2010/02/26 (Fri) @ 01:20

Thanks Tom.  I think your review is very accurate.  It’s basically a saber primer for people who are not terrified by a little math. 

And of course I edited everything you told me to edit.  That’s why I had you look at it.  grin

Lee


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