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Russell Branyan is Still Fine

Just in case some of you were worried about Russell Branyan's July so far, I am here to soothe your fears like a cool aloe balm.

April through June Since July 1
Swing% 46.8 47.9
Contact% 68.7 67.0
GB% / FB% / LD% 31.8 / 40.0 / 20.6 26.9 / 42.3 / 15.4
BABIP .358 .174
HR/BIA 16.5 15.8
SO% 26.2 36.3
BB% 14.3 16.4
ISO_Disc .097 .135
ISO_Slg .303 .244

 

 

 

 

 

 

 

 

 

 

 

Russ is fine. His strikeouts and infield pop ups are up in July, but so are his walks. More importantly, he is swinging just as often, making contact just as often and hitting home runs just as often, even with the increased infield flies, as he has all season. The big difference is in the BABIP. That is flukey; do not worry over it. Russ is fine.

0 recs  |  99 comments

Comments

Do you think you could include another table?
I do not know.

I am not certain that you could fit any more on the front page.

I tried rubbing aloe balm all over myself the last time I experienced sheer, utter terror.

It made my skin silky and moisturized, but I was still terrified.

Also, how reliabled is the expected BABIP formula (Line drive rate + 11%)? Are there situations where this doesn't apply?
When possible I would just regress a player's BABIP to his career (or recent year) average
I'm just imagining you saying "soothe your fears like a cool aloe balm" in a Barry White voice.
Now I'm doing it and attaching an awwwww yeahhhh at the end

It is soothing.

And a mmmm hmmmmmm
Turn out the lights and light a candle
Is the difference in BABIP luck, defensive alignment against him, or something else?

The only discussions I’ve ever seen about BABIP seem to end up with “don’t know what’s up, it’s just bad luck”.

Let's just think of it as unsustainable

His early BABIP was too high, and his recent BABIP is too low. They will average out. There’s nothing wrong with him.

So it will regress backwards?
Should we be worried about the dipping LD rate?
Meaninglessly small sample

no

How fast do batted ball rates tend to stabilize/what's a reasonable sample before we should worry about it?
Heyo

linky

Confused now
LD rate – under 40 PA

Hmmmm… ground balls and line drives remain pretty stable, even when the sample size is ridiculously low, but you need half a season or so before the pop ups stablize.
Branyan by month (Fangraphs numbers)

April: 14.6% LD
May: 25.4%
June: 17.5%
July: 23.1%

Well this shows quite the disparity
I think I'm even more confused now

since your evidence is showing that LD rate fluctuates rather wildly over a half-season sample, and the article Marc linked to says that it should stabilize in 40 PAs…

I have a lot of trouble believing that LD really stabilizes that quickly considering I barely trust LD% to begin with

40 PAs? That’s absurd.

Yeah, that struck me as odd too

it would seem to indicate that an average batter should hit exactly 7-9 line drives for every 40 PAs and that can’t be right

Yeah, that
is not quite what that means.
I think it's asserting that it stabilizes at 40 PAs that's confusing
Or perhaps I'm reading into the way he defines stabilization wrong

which the more I think about it, I think I am, since he said he was going to use an r^2 of .5, which still allows a lot of variation

But it's almost as if the article is more intended to show that BABIP won't stabilize over any single season sample

and thus is subject to much more fluctuation than LD rate (or GB rate for that matter)

Yeah, that's it exactly. It's all about how you define stability.

I think r^2 of 0.5 is perfectly fine, esp. as he was up front about it, but that still means you could see a fairly high degree of variance.
But it also means Branyan’s quite unlikely to throw up two months of 6% LDs.

Yeah, I guess I just read "stabilizes" and completely ignored the r^2=.5 part

and assumed it was more like an r^2=.95 or something, which would make 40 PAs ridiculous

The r^2 of 0.5 still allows for a great deal of variance.

PC’s using one definition of ‘stable’ – and it seems fine to me, but that doesn’t mean that once a batter hits 40 PAs that the numbers are going to be the same.

Yes. MLB's numbers

17.1%
23.6%
19.3%
15.4%

July really jumps out there, huh?

Wha?

You should calculate the variance in tRA using MLBs versus Fangraphs data. These seem like fairly large discrepancies, and I bet it’d make a big difference in some pitchers tRAs.

Like hell I am manually doing that.

Batted ball types are subjective. We’ve all known this.

Good heavens

I guess technically it’s only the difference between four and six line drives, but still.

Yes.

That’s important to note.

The difference is MLB saying four line drives and BIS saying six.

Why do we (or should we) trust one over the other?
We don't; you shouldn't
But don't you kind of have to for tRA and wOBA?
You have to use batted ball types from somewhere for tRA.

Not for wOBA.

Further,

tRA relies on batted ball types, yes, and the classifications between BIS, MLB, Retrosheet, etc do not 100% agree with each other. And as far as I know, nobody has done a study of accuracy (how could you anyways, the desired answer would be subjective) to determine which if any, is the best.

However, the magnitude of differences are really very small and you assume any bias is system wide.

wOBA does not use batted ball types at all.

Yeah, I realized that about wOBA

I was thinking of hit values or whatever it is they’re called. But the part about the magnitude of difference being so small makes a lot of sense.

Will HitFX standardize this at all?

Yes.

HitF/X ultimately will let us use continuous functions for batted balls rather than discrete types.

Are there any offensive stats using batted ball profile?

Or would such a thing just overvalue power guys and undervalue, say, Ichiro?

I am unaware of any good stats that use it.
Well I would say prOPS is okay

As long as you don’t over do it.

The sample needed for K rate to stabilize is ridiculously small

so if we’re going to worry about anything, it may be the K rate.

Which is why the swing/contact rate # is so soothing. Awwwww yeeeeaaaahhhh.

All the same...

From this data I think one can conclude that Branyan was unsustainably lucky in the first months (unsustainable BABIP and strikeout rate). So anyone who expects that going forward is going to be disappointed. He’ll likely be good, but not as good as he was in April and May.

Absolutely right
Not absolutely.

Based on his 68.7% contact rate, Branyan’s expected K rate was 27.8%

How close has Branyan's K% mirrored that equation in the past?
Last five years, 2008-4, negative values indicate lower than expected K rate

-0.6%
0.8%
0.6%
-1.5%
3.4%

So, super close then

Good to know.

Remarkably, remarkably close.

Then again, the equation for all big league hitters has an R-value of around .77.

R^2

I should clarify.

0.77 is huge for an R^2
People should be more amazed by this.

I am shocked how close a relationship there is between contact and strikeout rates.

Yet more evidence that swinging strikes are awesome
I am now amazed.

by the way, what IS the equation with that gaudy r^2?

Alright, I'm waving the white flag here

What, in this context, is r^2 and how is it applied.

I’m used to r^2 being part of the area of a circle equation.

`

http://en.wikipedia.org/wiki/Coefficient_of_determination

So just to make sure I got this

When the r^2 is near 1, we’ve got a good predictive model?

Absolute value of 1, yes.
I guess the squaring takes care of that.

Used to dealing with R, not R^2.

Thanks

I swear to God I learn more here every day than I do in grad school.

Bear with my statistical ineptitude but

I believe it is similar to correlational values? As in “A” is a good predictor of “B,” “A” being contact % and “B” being strikeout rate?

.84 - .84*(contact rate)

Rather easy to remember too.

That's insane.
And elegant!

contact rate = 1 —> .84 – .84 = K rate of 0

This seems like a pretty straightforward relationship though. I'm not sure why we should be amazed.

Am I missing something? Why wouldn’t K rate correlate with contact rate?

Strikes looking
What is the r^2 between swinging strikes and K rate?
I am not amazed there is correlation.

I am amazed by how strong the correlation considering how simple the model is. For instance, would you not think that swing% should play a heavy role in determining strike out rate? Or %s of in and out of zone pitches? Or even things like slugging percentage?

It's about 0.71 for pitchers
Well, that's good.

Thanks for the clarification.

*swoon*

Yes, yes he is!

“O Russell
You’re so Fine
You’re so Fine
You Blow my Mind
Hey Russell!
Hey Russell!”

Am I the only one somehwat taken aback by the 16% HR/FB rate?

I mean, he hits a lot of flies but… i thought he had POWER, you know?

That's 16% Ball-In-Air, not 16% HR/FB

different things. StatCorner uses BIA.

One of the many ways that we, SC, try to mitigate against

batted ball type discrepancies.

Your welcome.

You should call yourselves StatCorner

when you refer to yourselves as SC, I like you less

I agree.

I think of John Kruk’s fat face when I see SC.

BACK BACK BACK BACK BACK FAT
Oh fuck me, this is HR/BIA not HR/FB

Anyone know the HR/BIA league average?

I really do love this website.

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