Dreamcast 86: Knock On Wood

The word of the day was injuries as there are a lot of pitchers hitting the injured list through various ailments, and we talk a bit about that on this Dreamcast, along with our praises and thoughts about the Cubs starting this season off strongly against some tough competition (not the Rockies).

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Obstructed View Podcast
Obstructed View Podcast
Dreamcast 86: Knock On Wood
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Better Know a Statistic: (K-BB)/PA

I have a confession to make. 

When I first fell headlong into baseball analysis, I kind of took K/BB as my pet statistic. I loved how it was essentially "luckless": the only things the pitcher couldn't control was the discipline of the batter and the strike zone of the umpire, the two things he can only understand (but never master). Not only was it good at explaining the two fundamental pitching statistics, it did it in a way that aped the GPA system in the American school system. If you had a 4.00 GPA, you were an excellent student: a 4.0 K/BB meant you were an excellent pitcher. 

After a while, though, I began to have my doubts. Is a pitcher that strikes out 9 per 9 innings and walks 3 in the same span really only half as good as the guy that strikes out 6 and walks 1? If we assume a normal BABIP (lets say .300 exactly), these two pitchers profile thusly (over a 27 out span):

Pitcher A: 9 strikeouts, 18 regular outs, 7.7 hits, 3 walks, 10.7 baserunners

Pitcher B: 6 strikeouts, 21 regular outs. 9 hits, 1 walk, 10 baserunners

Pitcher B has a 6 K/BB, but allows nearly as many baserunners as Pitcher A does. Not only do they allow baserunners at close enough a rate as makes no difference, Pitcher B actually allows more active baserunners. I'd expect Pitcher B to allow more runs per 27 outs than Pitcher A does. 

This sort of trickery is what allows Joe Blanton to accrue such gaudy K/BB totals while being a mediocre pitcher at best.

 
        K/BB                    
2005 Athletics 5.19 3.00 1.73 1.03 13.9 % 8.0 % .233 1.22 .248 75.3 % 83 105 4.43
2006 Athletics 4.96 2.69 1.84 0.79 12.5 % 6.8 % .304 1.54 .335 68.9 % 108 94 4.16
2007 Athletics 5.48 1.57 3.50 0.63 14.7 % 4.2 % .265 1.22 .299 68.0 % 90 81 3.50
2008 2 Teams 5.05 3.01 1.68 1.00 13.0 % 7.7 % .269 1.40 .290 68.4 % 110 106 4.52
2009 Phillies 7.51 2.72 2.76 1.38 19.5 % 7.1 % .257 1.32 .291 78.9 % 96 104 4.45
2010 Phillies (A) 9.00 0.00 2.00 0.00 33.3 % 0.0 % .000 0.00 .000 100.0 %     1.20
2010 Phillies (AA) 5.63 2.25 2.50 2.25 14.3 % 5.7 % .273 1.38 .269 73.2 %     5.95
2010 Phillies 6.87 2.20 3.12 1.38 17.5 % 5.6 % .287 1.42 .321 69.1 % 120 108 4.34
2011 Phillies (A) 0.00 0.00 0.00 0.00 0.0 % 0.0 % .000 0.00 .000 100.0 %     3.20
2011 Phillies 7.62 1.96 3.89 1.09 19.4 % 5.0 % .306 1.48 .362 70.9 % 131 94 3.63
2012 2 Teams 7.82 1.60 4.88 1.37 20.6 % 4.2 % .269 1.26 .310 67.9 % 121 101 3.91

Clearly, K/BB isn't actually providing a meaningful statistic.

What matters in pitching is acrruing as many outs as you can in the fewest number of batters you can. All of the other variables are going to average themselves out, somehow. 

If you take as a given DIPS theory, that a pitcher has no control over balls in play, it stands to reason that the same pitcher has little or no control over the distribution of the hits that take place 30% of the time. Therefore, the best way to reduce runs is to strikeout as many batters as possible while denying as many free passes as you can – the primary reason that strand rate is also essentially volatile. K/BB isn't a measure of this skill at all.

What is, however, is K-BB. The difference between strikeouts and walks is the difference between batsmen and batted balls. This is a much better statistic, because it describes an actual skill in reducing runs – coincidentally, the only skills he can actually control.

The only thing that's left is converting this count statistic into a rate statistic. The best way to do that is to take this difference in batsmen/batted balls and set it to actual batters faced. Thus, (K-BB)/PA is the statistic that best addresses this problem.

Let's go back to Pitcher A and Pitcher B.

Pitcher A: 6/28.7 = 20.9%

Pitcher B: 5/31 = 16.1%

This gives us a clearer view of the value of these two pitchers. Pitcher B has the far superior K/BB, but he opens himself up to more batted balls, and as such is worse (albeit only slightly worse).

The one concern with this statistic is that it doesn't take HR% into account. First, that's also a rebuke to the old stat (K/BB). More importantly, though, HR% is actually a fairly erroneous statistic in itself. It's open to all sort of disputes: is a HR in Coors Field the same as a HR in Petco Park? HR% is a "pitcher's skill" to some effect (home runs imply hard contact), but it's much, much less useful than K/BB.

If you have any questions about either stat, feel free to comment.

100 Walks

Here's something interesting I discovered today: Starlin Castro has exactly 100 career walks. 

Here's the breakdown:

29 in 2010

35 in 2011

36 in 2012

63 in Wrigley Field

6 in Great American (next highest)

55 times with the bases empty

12 times with just a man on first or just a man on second (next highest, tied)

0 times with the bases loaded

72 times when the Cubs were tied or trailing

38 times on just 4 pitches (14 intentional walks)

33 times on 6 or more pitches (fouled off at least once)

1 time on 10 pitches – the Cubs were down 10-5 against the White Sox against Scott Linebrink. It didn't help.

1 3-walk game

9 2-walk games

One time (09-18-2010), Colvin scored on a walk, but the bases weren't loaded. There were men on first and second, and Colvin advanced home on E-2. That run tied the game, Castro would later score the insurance run, and the Cubs would win 5-3.

22 walks in high-leverage situations.

It took Castro 1912 plate appearances to get his first 100 walks. Adam Dunn drew 105 walks this year, in 649 plate appearances.

Castro's last walk took place on the last game of the season. The Cubs were tied in the bottom of the ninth with 2 men on and 2 outs. Castro walked on 5 pitches, and LaHair singled in the winning run. 

Congrats, Starlin, on 100. Here's to 900 more.