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THE BOOK--Playing The Percentages In Baseball

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Saturday, July 21, 2007

Pitch Counts from the Old Dodgers

By Tangotiger, 11:17 PM

From 1958-1963, here are the pitches per batter of the regular Dodger pitchers:


3.82 Koufax (through 1964)
3.69 Williams
3.51 Drysdale
3.47 Podres

The averge pitcher in the present time throws about 3.75 pitches per batter.  So, we can see how these Dodger pitchers are somewhat below the current average.  But, is this a function of their strikeout and walk rates, or is there an additional time component?

Baseball-Reference.com has pitches per batter going back to 1988.  Why don’t we simply look for the most similar pitchers in terms of BB,SO rate to the above Dodger pitchers, and see if there is any additional differences?

Podres top comps are:
3.80 Milton
3.77 Penny
3.77 Fernandez
3.72 Castillo
3.60 Hudson
3.49 Hurst

As you can see, the guys who have the same BB and SO rates as Podres each threw more pitches per batter: 0.22 pitches more per batter.

What about Drsydale?
3.86 Harang
3.77 Penny
3.73 Millwood
3.73 Mussina
3.62 Oswalt
3.61 Brown
3.44 Mike Scott

This group of pitchers has s similar range to the Podres group, being 0.17 pitches more per batter.

Koufax
4.02 Prior
4.01 Ryan
3.93 Clemens
3.90 El Sid
3.86 Cone
3.78 Beckett
3.73 Nomo

This one is closer to Koufax.  This group averaged 3.89 pitches per batter, a bit above Koufax’s 3.82.  And there were two similar (to the extent that anyone can be similar to Koufax) pitchers with fewer pitches per batter than Koufax.

Stan Williams:
3.92 Alvarez
3.91 Ortiz
3.82 Benes
3.77 Witt
3.76 Estes
3.75 Juden
3.73 Sanchez

Once again, all pitchers threw more pitches per batter than Williams, average of 3.81, or .12 more than Williams.

Overall, these 4 pitchers threw 0.145 (4%) fewer pitches than their comparable counterparts of 30 years later.  Now remember, we already controlled for the pitching style (walks and strikeouts).  That pitching style should lead to a certain number of pitches per batter.  After all, to get a strikeout, you need the three strikes, plus one or two balls or foul pitches.  To get a walk, you need 4 balls, plus one or two strikes, more or less.  But, sometimes you don’t end up with a walk or strikeout, but a ball in play.  But, the style of pitching that leads to a strikeout or walk will also set the pace for the ball in play.  Pitchers who strike out or walk alot of guys will invariably have more pitches on balls in play than those who don’t strike out or walk alot of guys.

It seems however that over and above that, we have an additional component at play.  Perhaps it’s the spread in talent, so that the reason the Koufax comparables have more pitches per batter is because they are doing it with guy who strikeout or walk far more than those who don’t.

What will be interesting to see one day is the frequency of each of the 12 ball-strike counts, to see how often Koufax and his comparables entered those states, as well as the number of two-strike fouls.  It’s also possible that the recording of pitches from 40 years ago has a source of error.  We are only talking about a gap of 4%.  To the extent that that’s real, then a 106 pitch outing by Koufax would be 110 pitches if Koufax duplicated his output today.

#1    Mike Green      (see all posts) 2007/07/23 (Mon) @ 10:38

Very interesting, Tango. The Dodgers moved from a favourable hitting environment to an extreme pitching environment in 1962. I wonder what changes there were during the 58-61 period compared with 62-63.

I also wonder about the pitch counts of Oakland’s pitchers, with its expansive foul territory, compared with Boston’s pitchers.  It’s too bad that Eckersley relieved in Oakland; comparing his pitch counts in Boston and Oakland would have been interesting.

It is also true that sabermetrics has resulted in a greater awareness of the “walk” column in baseball now as compared with the late 50s-early 60s, and this has perhaps led to a somewhat different approach to hitting in general.  “Working the count” was not an expression that I heard when I first started watching baseball.


#2    John Walsh      (see all posts) 2007/07/24 (Tue) @ 07:07

Tom,

Keith Woolner published an article on this very subject in the Baseball Prospectus Annual this year.  (It was the best part of the Annual, IMO). Woolner looked explicitly at how many pitches were used to get a strikeout, a walk or a ball-in-play as a function of time.

Interestingly, he finds a convincing time dependence: it takes more pitches to strike a batter out now than it did in 1990. It also takes more pitches to walk a batter and more to get him to put the ball in play. Woolner uses all the pitch-data available at Retrosheet: most of that goes back to 1988, but Woolner also includes the smattering of data that goes back further.

He produced a pitch-count estimator based on this study which has a time component (which I can’t remember and don’t have in front of me right now).


#3    tangotiger      (see all posts) 2007/07/24 (Tue) @ 08:19

John, I actually reviewed that part of the book.  I didn’t like the “time component” as he used it, because he made it linear.  The time component should be based on the prevailing mindset, which obviously isn’t dependent on whether the year 2012 is greater than 2007 or not.  By implication, he’s treating the timeline as some sort of evolution, which I disagree with.

The whole review is here:
http://www.insidethebook.com/ee/index.php/site/comments/first_edition_sold_out_reprint_edition_available_from_amazon#12


#4    John Walsh      (see all posts) 2007/07/26 (Thu) @ 03:36

I’m not sure why you don’t like the time component (I suppose I’m not getting your point).

The plots in the article show a pretty clear linear dependence of P/PA on year for the different events going back to 1988.  I’m not convinced the pre-1988 data is in agreement with the rest: that extra point doesn’t seem to continue the linear trend of the 1988+ data very well.

Still, it seems like including a time component in the pitch estimator is a step forward.

What do you mean by “prevailing mindset”? Are you talking about propensity to take a pitch, work the count? From Woolner’s data, it looks like time is a fairly good proxy for that.


#5    tangotiger      (see all posts) 2007/07/26 (Thu) @ 07:43

What would happen if they expand the strike zone in the year 2009?  What would happen if fences are moved back, turf is brought back in, speed was in vogue in 2012? 

Are we going to see an ever increasing trend of pitches per BIP, K, BB simply because 2012 is greater than 2007?

He’s using the time component as a proxy for the prevailing mindset (yes, work the count, etc).  But, I submit that just because he was able to fit the current data to that model doesn’t make that model extendable.

Are we to believe that we can extend the Woolner model backwards to 1919, too?


#6    John Walsh      (see all posts) 2007/07/26 (Thu) @ 10:39

Well, we don’t need a pitch count estimator to work for 2012, since we have the pitch counts.

And I would think that you would apply the estimator for seasons that you can be reasonably sure that it’s working ok, perhaps Woolner’s version would be good for the 60s-80s. I agree that you cannot simply take Woolner’s results and extrapolate back to 1919.

But that is true of any pitch count estimator, isn’t it? Any estimator is going to be based on some data set and it’s not obvious that you can apply it beyond that data set.


#7    tangotiger      (see all posts) 2007/07/26 (Thu) @ 11:52

My point is that the estimator simply presumes that because 1986 is one greater than 1985 that there are extra pitches being made in 1986!  There can be the exact same mindset, the exact same hitters, the same everything.  But just because he extrapolates between two known points that everything in-between must be true.

It is more likely that you should have a “prevailing mindset” parameter, which you can estimate based on BB,K,HR per PA, runs per game numbers.  And I know he’s got that part, but that he doesn’t go far enough with it.  I just don’t think he should “cheat” by adding an additional year parameter to best-fit it.


#8    tangotiger      (see all posts) 2007/07/26 (Thu) @ 11:54

That aside, were you also disappointed that the testing of PAP wasn’t made on the 1970s pitchers, the exact kind of pitchers that we yearn for (and who were able to face, in their careers, more batters than at any point ever)?

This is the same kind of “extrapolation” problem, that PAP was simply best-fitted to a particular dataset, whose holes would be exposed when looking at 1970s pitchers.

Just a guess on my part, but, that part of the chapter definitely left me wanting more.


#9    Tangotiger      (see all posts) 2007/09/10 (Mon) @ 09:17

Sal is back for more:
http://www.hardballtimes.com/main/article/its-up-to-the-hitter/


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