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Monday, September 19, 2011

Is where you hit in the lineup conducive to better performance?

By Tangotiger, 10:58 AM

I’ve been meaning to do this study for a long time. 

All data from 1993-2010.  I also limit the data to players aged 25-29.  I ensure that a player is equally weighted in the two pools being compared (and that weight is the lesser of the plate appearances in the two lineup slots being compared).

(Imagine there’s three or seven paragraphs of a yapfest going on here.  I’m not going to do it.)

Ok, now, thanks for your patience in wading through all that.  Now onto the data.

There were 62,894 matching plate appearances for the leadoff slot and the #2 slot.  That is, I’ve got the same players represented in each of the two pools, and each are weighted appropriately.  Their wOBA in the leadoff slot is .332 and it’s .333 in the #2 slot.  That difference is less than one standard deviation.  In all cases, except two, the difference in the leadoff slot and the other 8 slots was less than one standard deviation.  And what are those two slots?

Players who hit leadoff and who hit cleanup: .352 in the leadoff and .368 as cleanup, which is 2.7 standard deviations.  And even bigger gap are those that hit leadoff and bat sixth: .334 leadoff and .344 batting sixth (3.3 standard deviations).

I did this for all the batting slot combinations.  Let’s take them one at a time.

Batting 2nd and everywhere else, except 3rd, shows less than 1 standard deviation of difference.  With with batting 3rd: .362 batting 2nd, .357 batting 3rd, 1.7 standard deviations.

Batting 3rd?  There’s the aforementioned batting 2nd, as well as batting sixth: .359 batting third, .354 batting sixth (2.3 standard deviations).

Batting cleanup?  That one has alot of differences.  None to match the leaoff, but also batting 4th/5th: .365 batting 4th, .362 batting 5th, 1.7 standard deviations.

Batting 5th?  In addition to the cleanup, we have these guys batting 9th as a gap.  Batting 5th, .335; batting 9th, .323; 2.4 standard deviations.

Batting 6th?  Many differences.  There’s the two already mentioned (leadoff, cleanup), and also batting 7th: .340 sixth, .337 seventh, 2.0 standard deviations.

Batting 7th?  There’s batting sixth, and also batting eighth: .321 seventh, .326 eighth, 2.8 standard deviations.

Batting 8th?  Only what was already mentioned with seventh.

Batting last?  Virtually across the board, batted slightly worse there than in all other batting slots.

If I take a simple average, this is what I get:

lineup woba1    woba2    diff    zScore
1    0.334    0.339    
-0.004    -4.1
2    0.340    0.339    0.001    0.8
3    0.356    0.354    0.002    1.8
4    0.360    0.355    0.005    5.0
5    0.347    0.347    0.000    0.5
6    0.343    0.342    0.001    1.9
7    0.335    0.336    
-0.001    -1.4
8    0.331    0.330    0.001    1.0
9    0.321    0.326    
-0.005    -3.8

We see that hitting leadoff and batting ninth is “harder”, while batting cleanup confers some sort of advantage.  We’re not talking about a huge deal of course.  Up to a five point difference in wOBA (which translates to three runs over the course of a season).

We can come up with plausible scenarios as to the reasons.  By the time the pitcher gets to the ninth hitter, he’s been cruising a bit, but when he gets to the cleanup hitter, he’s a bit worn out.  Or, perhaps the reason that the batter was placed cleanup is because he actually was a bit better hitter that day, and he was placed ninth because he was a bit worse.  (Made me wish I would have controlled for platoon advantage too now that I think about it.) It’s possible there are other selection biases to account for.

Anyway, I quite enjoyed doing that, and if someone else likes it, great, welcome to my world.  This is what makes me go to bed after midnight.

All hail Retrosheet!  Now, off to fight that war for Oceania.


#1    novaether      (see all posts) 2011/09/19 (Mon) @ 12:13

Interesting. With 36 different combinations (by my count) we should expect 11 combinations to be outside of one standard deviation. By my quick count, you found 8 combinations outside of 1 SD. That makes me wonder how big of an impact there really is on switching positions, but I have to imagine that there should be differences.

Examples:

-A player batting 9th is often a DH or PH, and from what I’ve heard, switching from a position player spot to a DH/PH will take a toll on your offensive output.

-A player that improves as he gets older will see himself put in more important positions.

-A player hitting in the middle of the order is more likely to hit with players on base. Since fielders have to hold runners on, play in “no doubles” defenses, protect against sac bunts, etc., that would manifest in an elevated wOBA.

-Your idea about the platoon split sounds solid as well. Mangers will typically slightly shuffle around a lineup depending on the handedness of the starting pitcher.

Good stuff!


#2    Brian Cartwright      (see all posts) 2011/09/19 (Mon) @ 12:30

as mentioned in #1, possibly the differences noted could be because of the base/out situation.

The lead off spot has the highest incidence of batting with no one on base. This is when the rate of ground ball hits to to the outfield is the lowest. The highest rate is a runner on 1st, fewer than 2 outs.


#3    Tangotiger      (see all posts) 2011/09/19 (Mon) @ 12:59

Re: wOBA by bases empty and men on base.

This is a good point.  The wOBA with men on base is 6 points higher.

While the average hitter comes up to bat with men on base 45% of the time, the leadoff hitter does so 35% of the time and a cleanup hitter 50% of the time.

So, how does that impact things?  If the wOBA split is .327/.333 with bases empty and men on base, this means:
.3291 leadoff hitter
.3297 average
.3300 cleanup

Therefore, we’re talking about explaining less than 1 point of the difference, due to the disproportionate base states.


#4    Tangotiger      (see all posts) 2011/09/19 (Mon) @ 13:03

The standard deviation of the 36 z-scores was 1.315.

15 of the 36 were more than 1 SD.


#5    Tangotiger      (see all posts) 2011/09/19 (Mon) @ 13:04

I should have mentioned also: only players in the starting lineup.


#6    MGL      (see all posts) 2011/09/19 (Mon) @ 14:00

I think the biggest thing is going to be platoon.

“With 36 different combinations (by my count) we should expect 11 combinations to be outside of one standard deviation. By my quick count, you found 8 combinations outside of 1 SD.”

This is a really important point.  You can’t really look at a bunch of different combinations and then declare those that are 1 or 2 SD from the mean as “significant.” There are correction algorithms when you are looking at a bunch of relationships, aren’t there?

There is also going to be some large selective sampling going on here.  E.G., a player bats at the top of the lineup and he does poorly. He is going to get moved to the bottom.  And vice versa.

There are also times through the order and reliever issues to deal with.  The #1 batter faces the starting pitcher more often.  The middle of the lineup guys might tend to face the best relievers.

Basically this one is a mess, I think…


#7          (see all posts) 2011/09/19 (Mon) @ 14:07

I could not find it in the “Yapfest”, but did you look at just the hitting aspect of wOBA or did you add in SB/CS.  Just from some work I have done on fantasy baseball, the lead off hitter steals and is caught a bunch more.


#8    Tangotiger      (see all posts) 2011/09/19 (Mon) @ 14:20

Jeff: Only hitting.

***

MGL: you can ignore the quote you cited, in light of Tango/4.

***

MGL: However, it’s a good enough point about the relievers.  It’s easy enough for me to just look at v SP only, and, heck, why not, include the times through the order as well.  Not sure why I didn’t do that in the first place, other than it was midnight.

So, I can include: handedness of batter, pitcher; SP only; times through order.

***

As for MGL’s other point about guys moving up or down: his basic point is that if some guy gets hot in the 7th slot and wOBA .450, he gets moved to cleanup where he reverts to his true talent .330, and then gets dropped back to the 7th where he hits .330.  This process makes it seem like he hit worse because he was moved to cleanup.

It’s the MLE issue basically.


#9    Steven Ellingson      (see all posts) 2011/09/19 (Mon) @ 15:00

#1/nova

#9 is often DH?  That sounds backwards to me.


#10    Tangotiger      (see all posts) 2011/09/20 (Tue) @ 01:45

Ok, I included a match on:

batter hand
pitcher hand
times through the order
starter/relief

The results:

lineup woba1    woba2    diff    zScore
1    0.334    0.339    
-0.005    -4.2
2    0.340    0.339    0.001    0.7
3    0.356    0.355    0.001    1.0
4    0.360    0.356    0.004    4.2
5    0.347    0.348    
-0.001    -1.4
6    0.344    0.343    0.001    1.1
7    0.336    0.336    0.000    0.4
8    0.332    0.330    0.003    2.9
9    0.321    0.325    
-0.004    -3.0

Except for the 8th place hitter, everyone’s difference changed by at most 1 point.

The 8th place hitter changed by 2 points.

Is there anything else that I need to control for?


#11    novaether      (see all posts) 2011/09/20 (Tue) @ 15:13

@ #9

Good point. I watch NL games most of the time so I was basically thinking about the pitcher spot and PH. Often times in the AL your #9 hitter is the catcher.

That got me thinking, though - perhaps there is a league-dependent bias, especially in the #9 spot. A player in the NL is called up, so he pinch hits for the pitcher on occasion. He gets a chance to start playing every day, so he starts hitting higher in the batting order and improves because he is now playing every day. In the AL, there is no common pinch hitting for the pitcher (except in interleague games), so I’d imagine this effect would be less severe for the 9 hole.

Could you separate by league, Tango?


#12    Tangotiger      (see all posts) 2011/09/20 (Tue) @ 15:17

I could, but I just don’t see this happening in the NL.  And if it did, it would be dwarfed by the regular player who don’t have to put in time PHing.

Basically, I can accept your basic premise, but the degree of impact would be invisible.


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