The First Pitch Swing Decision: Selectivity Versus Passivity

A couple of weeks ago, I wrote an article titled “The Myth of the Passive Hitter“, which examined the change in the rate of swings in Major League Baseball over the last 25 years. While a host of writers have written about the rise of Moneyball philosophies as a reason for why strikeout numbers are on the rise, I noted that the data shows that hitters are actually swinging at basically the same rate now as they did two decades ago. The evidence simply doesn’t support the idea that hitters have become significantly more passive at the plate.

However, as several readers pointed out, the point being posed most repeatedly by Tom Verducci isn’t that hitters are not swinging often enough, it’s that they’re not swinging often enough in the right situations. As a follow-up to his original post, he wrote this last week:

1. Hitting in the major leagues is fundamentally broken

What will it take for teams to start admitting that this passive-aggressive, run-up-the-pitch-count philosophy isn’t working? Apparently almost a decade of declining results isn’t enough. Entering this week:

• The number of hits per game is down for the seventh straight year.
• On base percentage has been stagnant or down for the seventh straight year.
• Strikeouts are up for an eighth straight year.
• Batting average has sunk to an all-time low (.253) since the DH was instituted 40 years ago.
• Runs per game is tied with the rate from 2011 for the lowest rate since 1992.
When you go to a baseball game today you will see fewer hits on average than at any time since 1972 — and yet the game is taking more than 20 minutes longer to play. That’s more than 20 minutes of added dead time without the ball put in play.

And yet you see hitter after hitter giving pitchers strike one and taking 2-0 and 3-1 fastballs. It’s like a major corporation with seven straight years of operating at a financial loss insisting that nothing is wrong.

Let’s set aside all the correlation/causation issues there for a second and note that the data we looked at two weeks ago does support Verducci’s claim that hitters are giving pitchers more called strikes on the first pitch of an at-bat. As he noted, the first pitch swing percentage has declined from 33% in 1988 to 26% last year, so the rate of 0-1 couts is significantly higher now than it was then. For reference, here is the percentage breakdown of how first pitches went in 1988, and how they went in 2012.

First Pitch 1988 2012
In Play 15% 11%
Ball 43% 40%
Strike 42% 49%

The first pitch of each at-bat is resulting in fewer called balls and fewer balls in play, and those decreases are being transferred over to strikes, which means that pitchers are pitching in 0-1 counts a lot more than they used to. Verducci is not wrong about this claim; the willingness of hitters to take the first pitch has led to an increase of called strikes, putting the hitter into a disadvantageous count more often. However, as we noted two weeks ago, the overall swing percentage has remained basically stagnant, so because hitters are swinging at the same rate overall while swinging at fewer first pitches, they must be swinging more often at some other point in order to make the numbers offset.

To help illustrate the actual changes in swing rates by count, I enlisted the help of some of my fantastic colleagues — seriously, Bill Petti, Matthew Carruth, Steve Staude, and Jeff Zimmerman are the best — and we pulled data from retrosheet and looked at how often batters have swung versus taking a called ball or called strike on each count over the last 25 years. Because Bill was nice enough to load all this into Tableau, we can present all of the charts in one image, so you can simply click from one count to the next to see the yearly changes in swing rates for each situation.

You can click on swing rate in the legend on the side to just highlight the orange line on each chart, if you want to focus solely on how often hitters are swinging and put the called ball/called strike lines into the background. As you go through the counts, you’ll probably notice some patterns that support Verducci’s arguments; swing rates are down significantly in every count where the batter has yet to take strike one. It’s most pronounced in 0-0 and 3-0, but 1-0 and 2-0 counts have also seen a reduction in swing rates over the last 25 years.

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Meanwhile, the counts that have seen the biggest increase in swing rate are 0-1 and 0-2, as both are at or near 25 year highs as hitters chase pitches more often when they are behind in the count than they used to. Interestingly, this is not an across the board “two strike” problem, as the swing rates in 1-2, 2-2, and 3-2 counts haven’t actually changed all that much. Most of the changes that have been observed can be explained by hitters taking more strike ones in all counts where they have not yet taken strike one, and then swinging more in 0-1 and 0-2 counts.

If seeing the raw data makes these changes difficult to observe, here is the same chart, just with the numbers scaled to the league average for each count over the last 25 years, so the average for the entire time period for each line is 100. This way, you can see the overlap of the lines on top of each other, and note where the big shifts take place.

The data is the same, but putting it on the 100 scale makes it easier to see things like the significant fluctuation in 3-0 swing rate over time. After peaking at 12.3% in 1996, hitters swung at just 8.0% of 3-0 pitches last year. While first pitch swing rates are down, they are simply part of the bigger story – hitters are much more willing to take strike one in any count, and this may very well be the result of more teams emphasizing working counts and getting on base. The notion that hitters have changed their swing patterns over time is correct, even though overall swing rates have remained stable.

So, is Verducci right after all? If hitters are swinging at fewer pitches in counts where they have historically done well and are swinging at more pitches in counts where they have done poorly, couldn’t this account for a large part of the decline in offensive levels, as Verducci claims? Well, it’s not quite that simple.

Let’s introduce a few more facts into evidence. We already listed the change in ball/strike/in-play rates on first pitches between 1988 and 2012, so now let’s look at the actual outcome differences for those same years.

First Pitch 1988 2012
BA 0.314 0.333
OBP 0.316 0.340
SLG 0.467 0.545
OPS+ 112 122

Hitters are swinging less often at the first pitch, but when they do swing, their production levels are significantly higher than they used to be. Taken together, this tells us that hitters are now less willing to swing at the kinds of 0-0 pitches that are not as likely to turn into a positive outcome. Hitters aren’t just taking first pitch meatballs down the middle, they’re taking the kinds of first pitches that used to result in outs and turning those pitches into strike one instead.

Remember how we noted that the first pitch in play result was down from 15% in 1988 to 11% in 2012? Well, given the number of hitters who came to the plate last year, that decrease resulted in 7,262 fewer balls being put in play on 0-0 counts. In order to get the league OPS+ down from 122 to 112 with 7,262 extra plate appearances, those balls in play would have had to result in an OPS+ of 86. In other words, that’s the production level that hitters have chosen to give up by not swinging at the types of first pitches they’ve chosen not to swing at.

This isn’t passive hitting; this is selective hitting. Not every first pitch is created equal, and you cannot simply look at the total rate of outcomes on first pitches swung at and assume that the success level would be equal for each additional swing on first pitches. This would be analogous to telling a player who stole 10 bases at a 90% success rate that he should steal 50 bases because he doesn’t get thrown out very often. His success rate is heavily influenced by the decision of when to steal or not, and running more often would result in a lower success rate on future attempts, since those extra attempts would have to come in the situations where he has already deemed himself less likely to succeed.

The same is true of first pitch swings. You can look at how hitters do when they swing on the first pitch and note that the outcomes on first pitch swings is very good, but you have to note that the outcome rates are that good because hitters are only swinging at the most hittable pitches. The pitches they are not swinging at any more are pitches they didn’t used to perform very well on, as you can see from the change in OPS+ on 0-0 counts from 1988 to 2012.

Year PA BA OBP SLG OPS OPS+
1988 23463 0.314 0.316 0.467 0.783 112
1989 22743 0.311 0.313 0.464 0.778 111
1990 21895 0.312 0.314 0.468 0.782 110
1991 21888 0.314 0.317 0.472 0.789 111
1992 22294 0.303 0.306 0.448 0.754 107
1993 23741 0.322 0.325 0.489 0.814 110
1994 16463 0.332 0.335 0.525 0.860 112
1995 20382 0.331 0.335 0.515 0.850 112
1996 21700 0.340 0.344 0.539 0.883 115
1997 22009 0.331 0.336 0.519 0.855 113
1998 24481 0.335 0.340 0.524 0.864 114
1999 24820 0.338 0.342 0.537 0.879 112
2000 24648 0.338 0.342 0.545 0.887 113
2001 24832 0.341 0.346 0.553 0.900 118
2002 24448 0.336 0.343 0.544 0.887 118
2003 23630 0.336 0.344 0.545 0.889 117
2004 23260 0.340 0.347 0.553 0.900 117
2005 23245 0.331 0.337 0.536 0.872 116
2006 23018 0.341 0.346 0.553 0.899 117
2007 22464 0.344 0.349 0.551 0.901 118
2008 22024 0.337 0.342 0.546 0.888 118
2009 20934 0.339 0.345 0.558 0.903 120
2010 20520 0.334 0.340 0.534 0.874 120
2011 20739 0.330 0.336 0.523 0.859 119
2012 20281 0.333 0.340 0.545 0.885 122

So, now, things are a little more complex than just “fewer first pitch swings = lower offensive levels”. This data shows that hitters are swinging at fewer first pitches that are tough to hit, so they’re trading swings that would result in a lot of outs for more 0-1 counts. Is that a good trade-off? Well, to answer that question, we need to look at how hitters do after the count goes 0-1. So, let’s look at the same table we just presented for 0-0 counts, only for all at-bats after a count goes 0-1. This is not just at-bats that end with an 0-1 count, but for everything that occurs after a hitter falls behind a batter with a first pitch strike.

Year PA BA OBP SLG OPS OPS+
1988 66526 0.223 0.261 0.321 0.582 84
1989 65698 0.225 0.263 0.324 0.586 84
1990 61439 0.226 0.265 0.329 0.594 84
1991 67759 0.225 0.265 0.329 0.594 84
1992 68264 0.230 0.270 0.330 0.599 86
1993 71787 0.233 0.274 0.346 0.619 84
1994 50684 0.236 0.278 0.356 0.634 83
1995 62405 0.233 0.278 0.352 0.630 83
1996 68824 0.236 0.281 0.361 0.642 84
1997 70863 0.232 0.275 0.354 0.629 83
1998 81536 0.230 0.274 0.352 0.626 83
1999 81226 0.238 0.283 0.367 0.650 84
2000 82476 0.237 0.283 0.372 0.655 84
2001 85369 0.231 0.276 0.364 0.640 84
2002 84586 0.230 0.274 0.355 0.628 84
2003 86452 0.235 0.278 0.364 0.641 85
2004 86979 0.237 0.279 0.368 0.647 85
2005 87034 0.237 0.277 0.364 0.642 86
2006 87728 0.241 0.283 0.374 0.657 86
2007 88494 0.238 0.281 0.361 0.643 85
2008 88073 0.234 0.278 0.357 0.635 85
2009 88182 0.232 0.275 0.354 0.629 84
2010 88651 0.227 0.269 0.346 0.615 85
2011 89320 0.225 0.265 0.341 0.606 84
2012 90061 0.226 0.265 0.346 0.612 85

Well, look at that. We noted that hitters have basically skipped out on 7,000+ first pitch swings that would have had to result in an 86 OPS+ in order to get the 0-0 OPS+ to equal what it was in 1988, and the penalty for not swinging at those pitches and falling behind 0-1 has been to post an 85 OPS+ after they fall behind with strike one. In other words, if every first pitch take that used to be a swing was called a strike, then hitters would have been making an almost perfectly rational trade-off between swinging and not swinging at the first pitch. Their overall performance level has not been dragged down by moving swings out of marginal 0-0 pitches and into 0-1 pitches. The approach is different, certainly, but not less productive overall.

And that doesn’t account for the fact that the called strike rate on these now non-swings shouldn’t be 100%. It might be pretty high — it’s impossible to know without strike zone location data, which we don’t have for 1988, of course — but it shouldn’t be a perfect relationship between not swinging and taking a called strike. When you factor in that some of those non-swings should lead to 1-0 counts — and as you’d expect, hitters do very well after the count goes 1-0 — and not 0-1 counts, the data suggests that hitters are making a good choice to take more marginal first pitches and look for better pitches to hit later in the at-bat.

Now, this is just an observation about first pitch swing rates. It could very well be that Verducci is correct about the current rate of swings on 1-0, 2-0, and 3-0, and perhaps hitters are not taking advantage of those situations as well as they could have.

Given that this post is already 2,000 words, though, I’ll look at those in more depth in follow-up pieces, as well as using the zone data we do have to see if it can help us understand why some of these shifts have occurred. For now, we’ll just leave it at this: hitters are swinging less on the first pitch, but the rise of first pitch selectivity has led to an increase in production on first pitch swings, and there is not significant evidence from the after 0-1 count data to support the idea that the increase in first pitch strikes are the reason for the offensive downturn in Major League Baseball.





Dave is the Managing Editor of FanGraphs.

65 Comments
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Newest Most Voted
Daren
13 years ago

Interestingly enough, the hitters that are swinging at the first pitch and getting hits are pretty damn good. Here’s a list of the most hits while the count was 0-0 for 2013.

Kerry Waller
13 years ago

It’s not like this is the first time that 15-20 years away from the last expansion, the pitchers started to take over.

Tim
13 years ago

I like all this data, but you’re still assuming that hitters’ approaches are normally distributed, and I don’t see any reason you should be able to do that.

Evan DS
13 years ago
Reply to  Tim

I could be wrong, but doesn’t the Central Limit Theorem say that no matter the distribution, a sufficiently large sample will approach the normal distribution? Seems like the numbers of players in the MLB would probably be sufficiently large, especially over 25 seasons.

Mac
13 years ago
Reply to  Evan DS

Not quite, the central limit theorem is all about estimating the mean of a population. Somewhat tough to explain over the internet, but there’s a separate distribution of expected sample mean, and that’s what approaches a normal distribution, not the data itself.

Evan DS
13 years ago
Reply to  Mac

right so, the CLT says that if you take a ton of samples, and take the mean of that, the sample means will distribute normally? I’m a senior math major, I should probably understand this more.

Tim
13 years ago
Reply to  Evan DS

Here’s a thought experiment to show why not: consider a league made up entirely of clones of Joe Mauer and Delmon Young. (And some pitchers.) You can increase the number of players infinitely and you will still never get any hitters near the mean for approach, as long as the Mauer/Young ratio isn’t vastly skewed. You can make the league look more passive by adding more Mauers, but the aggressive hitters will still be just as aggressive. You can make the league more aggressive by adding more Delmons, but the Mauers will still take almost every first pitch.

Shane Tourtellotte
13 years ago

The table says that 2012’s OPS+ on PAs after an 0-1 count is 88. When I just looked it up at Baseball-Reference, though, it said 68. The triple-slash numbers were the same, but the OPS+ was different.

Maybe there’s something obvious I am missing, but I don’t know what it is.

Eric R
13 years ago
Reply to  Dave Cameron

I can imagine it makes a big difference, but don’t they do (OBP/lgOBP+SLG/lgSLG-1)*100?

DJG
13 years ago
Reply to  Eric R

Yes, and it does make a difference. I just did the math, that’s the cause of the discrepancy.

DJG
13 years ago
Reply to  Eric R

100 * (0.265 / 0.319 + .346 / .405 – 1) = 69

Ivan Grushenko
13 years ago

Right, so if hitters are sacrificing a 86 OPS+ for a 68 OPS+ they should swing at the first pitch more often, right?

Kevin
13 years ago

Don’t managers often make the decision for batters on 3-0 counts? If that’s the case then it is completely flawed to criticize hitters for decisions they didn’t make. The 3-0 count has many more variables than a 2-0 or 3-1 count for example.

Jay29
13 years ago
Reply to  Kevin

Very good point. The swings on 3-0 counts will generally be skewed towards power hitters, which will make the 3-0 swing results look a lot better than they would if all batters were given the green light.

Bryce
13 years ago

Since OPS+ is higher than ever for 0-0 counts and all plate appearances that begin 0-1, that means that is has decreased for all plate appearances that begin 1-0, correct?

Bip
13 years ago
Reply to  Bryce

Firstly, On B-R, the league OPS last year was .724 and OPS after a 0-1 count is .612, which gives .845 when divided, meaning OPS+ is about 85, not 88, so it has gone down. Not sure where Dave is getting his numbers.

But yes, it’s possible that, since there is a dramatic reduction in swing rate in batters counts, and swings on pitches in those counts should yield a better OPS+, a reduction in swings will lead to a lower weight given to those hits when calculating total OPS. Also though, since pitches in those counts are often strikes, not swinging moves the count in the pitcher’s favor, which reduces OPS after that count.

DJG
13 years ago
Reply to  Bip

Also, as discussed above, what Dave is calling OPS+ is not the same thing as what B-R calls OPS+.

Will
13 years ago
Reply to  DJG

Using the B-R approach,what is the OPS+ hitters would need to produce in order to drag the current 0-0 output to the past benchmark? Is the conclusion still the same using B-R’s OPS+ methodology?

Sky
13 years ago
Reply to  Bryce

No. PAs ending at 0-0 are less frequent, and PAs getting to 0-1 are more frequent. This shift counteracts the rises in OPS+ in each count. An example of Simpson’s “paradox”.

cc80rm84
13 years ago

On Base-Ref, looks like tOPS+ is the stat, likely calculated differently?

Bip
13 years ago

Looking at the B-R numbers, I can’t explain the discrepancy. I did find something interesting about the numbers, however.

According to the splits by count, in 2012:
There was one game where no batter reached a 2-1 count.
There was one game where no batter reached a 0-2 count.
There was one game where no batter reached a 2-2 count.
There were ten games where no batter reached a three ball count.

I have no idea how to find those games, however.

Bob M
13 years ago
Reply to  Bip

There was a game last season with zero K? I would be surprised if it happened and a guy like Jayson Stark didn’t write about it. He enjoys those statistical oddities.

Jason B
13 years ago
Reply to  Bob M

You could get K’s without any 0-2 counts and/or 2-2 counts. The count sequence(s) would go (1-0 or 0-1), 1-1, 1-2, K.

jb
13 years ago
Reply to  Bip

Sounds like a job for Mr. Sullivan.

ret
13 years ago

hi jeff

mcbrown
13 years ago

Dave, I like the concept, but using OPS+ is problematic. The same table that shows performance on 0-0 swings “increasing” in OPS+ terms shows that it has been stagnant since about 2000 in raw OPS terms. So hitters aren’t necessarily doing a better job on the pitches the choose to swing on; they are doing exactly the same, but because they are doing worse in other counts (and therefore average OPS is lower) the OPS+ on 0-0 swings looks better. It is an illusion.

G.O.B.
13 years ago
Reply to  mcbrown

Well said.

tsunamijesus
13 years ago
Reply to  mcbrown

Would this be an example of ‘double-counting’ like people often cite when criticizing the misuse of OPS? Not a direct comparable but similar spirit of inaccuracy?

Cliff
13 years ago
Reply to  mcbrown

Only if you hold all other factors equal, which you shouldn’t. Maybe the change in results in other counts is the result of changes in pitchers’ behavior and techniques, etc.?

mcbrown
13 years ago
Reply to  Cliff

Absolutely, anything is possible. Dave could certainly be correct. My only point is that the evidence he chose (OPS+) doesn’t support that conclusion. It may not contradict it, but it doesn’t support it.

Jason H.
13 years ago

In academic publishing, much of the peer review is hidden from the audience. In online blogs with comments, the peer review is in real time. That’s scary!

But good work commenters!

Stephen Diehl
13 years ago

Let’s not forget the downturn in use of PEDs too.

Richie
13 years ago

Very good stuff. Looking forward to the follow-ups.

Nivra
13 years ago

Dave,

Even if the called ball effect weren’t in play, it would be advantageous for a hitter to trade an 86 OPS+ on balls in play for an 86 OPS+ in 0-1 counts. The latter would result in 2-3 extra pitches thrown by the starter, which is not insignficant if the situation reoccurs 2-3 times a game.

Neil
13 years ago

This is good stuff. I said this last time, but I’m just not convinced “passivity” is a problem. Baseball is booming financially and players are getting rich. I’m not enjoying baseball less. Who is this hurting, even if Verducci and co were totally right? The way the game is played will and should change over time.

Again, this looks like a lot of man hours, good stuff.

Hank
13 years ago

Dave… it really seems like you are forcing the data to fit the conclusion you want.

There are now more 0-1 counts as batters are more passive on 0-0… the data is pretty clear on that. You can color that as hitters swinging at “fatter” (for lack of a better word) pitches and taking more marginal pitches but there is really no data to either support (or disprove) that characterization/conclusion.

Now you are looking at the secondary question of whether this passivity is impacting overall performance… to do this you can’t simply look at rates; you have to look at overall production as there are more 0-1 counts.

The flaw in your analysis is that you are assuming if hitters started swinging more on 0-0 the OPS+ would then just naturally drop back to previous OPS+ levels when hitters used to swing more. But there are far more variables in play than that – is pitch mix the same?, is the distribution of pitches (spatially) the same?

Also as McBrown mentioned above using OPS+ is a bit problematic if you are looking at why offensive output is down over the years – you need more than a rate stat tied to that year’s performance to do that.

Jon
13 years ago

Curious to see what the difference in PA is accounting for overall offense being down; because the more total counts you have hitting in the hole at 0-1 (66k to 90k) is a very significant when hitting for a low average (even if it is the same average).

NATS Fan
13 years ago

One of the most interesting articles ever on Fangraphs, thanks! I eagerly await more!

jim
13 years ago

am I the only one that sees articles like this as excessively passive aggressive? just send Verducci a tweet and move on

Scraps
13 years ago
Reply to  jim

Just read the energized comments for the refutation on Dave not publishing his findings, dude. You see “passive/aggressive” back-and-forth; most people see stimulating “real time peer review” (thanks, Jason H).

That Guy
13 years ago
Reply to  jim

I see what you did there.

Eric Wedge
13 years ago

Stop with this analysis at once Cameron, you are ruining players’ careers.

Requiem
13 years ago

Does anyone else have a concern that OPS+ is being used in this argument?

First, the discussion is about offense ACROSS YEARS. Since OPS+ should always calculate to 100 each year, the only thing that is changing is the distribution of that OPS+.

Therefore, it makes no difference that OPS+ is changing in pitch counts, since “according to OPS+,” offense isn’t changing at all.

Does this make sense, or am I completely barking up the wrong tree?

Requiem
13 years ago
Reply to  Requiem

IOW,

it’s basically begging in the question (in the CORRECT usage, not the “new-fangled” usage).

And by first, I was going to write a lot more points, but I think it boils down to the question of whether OPS+ is an appropriate tool to measure offense changes across years.

Baltar
13 years ago
Reply to  Requiem

Boy, do I feel dumb for missing that.

thebamoor
13 years ago

I will read this later when I have time. I recall reading somewhere (here on fangraphs.com?) that the umpires have expanded the strike zone. I remember looking at the numbers relating to zone%, O-Swing%, etc. and they fit that theory quite well.

Bab
13 years ago

We may want to rethink whether 0-1 counts are actually de facto beneficial for the pitcher. Ted Williams certainly didn’t think so.

Tongue planted firmly in cheek
13 years ago
Reply to  Bab

Well that one awesome hitter from half a century ago certainly disproves that theory!

Jeroen Blok
13 years ago

If hitters are doing better on the first pitch yet worse overall is not the tradeoff that hitters are making the wrong one, Apparently they are doing a little better on the very few pitches they hit, but so much worse on the pitches that they do not choose to hit that the trade off is not worthwhile. you have to weigh the benefit of doing better on fewer 0-0 counts where you do hit and and doing worse on the increased number 0-1 counts where you did not hit the 0-0 count. So simply put you now have 0.26*122 + 0.74*85 = 94.62 and in 1988: 0.33*112 + 0.67*85 = 93.91

Jeroen Blok
13 years ago
Reply to  Jeroen Blok

thinking about this a little more, I really do not understand why when using OPS+ I did not get 100 as a result of both equations. Using OPS you get: 2012: 0.26*0.885 + 0.74*0.612 = 0.683, 1988: 0.33*0.783 + 0.67*0.582 = 0.648
Something strange here by the way if offense is down, why is OPS higher at 0-0 counts and also 0-1 counts.

Brian Cartwright
13 years ago

several times when saying “swing at the first pitch” you actually mean “putting the first pitch in play”. Swinging may also result in fouls or whiffs, which extend the plate appearance.

DD
13 years ago

How has the type of pitch thrown 0-0 changed? It seems to me (only an opinion here) that more pitchers start an at bat with a breaking ball now, and hitters are more inclined to swing at an 0-0 pitch if it is a fastball. Same thing with 1-0 2-0 and 3-1 pitches.

STEALTH
13 years ago

This was awesome. Thanks Dave. I look forward to more. This feels like baseball moving forward, even if there are not a lot of major, actionable conclusions yet.

I wonder what we’d find if we evaluated first pitch 0-swing and Z-swing rates.

I also wonder about pitch selection in certain counts and if the differences may be pitchers taking better advantage of being ahead in the count.

Last “I” statement: I think that would be some brutal research.

Again, well done, Dave. I marvel at your work and the work of your colleagues.

Bob M
13 years ago

I have a couple of thoughts about this…

OPS in a 0-0 count was in an upward trend from the late 80s to late 90s, gaining about 100 points over those 10 years. It has been generally flat since then.

OPS in a 0-1 count was in an upward trend from the late 80s to late 90s, but has been in a downward trend from the late 90s to today. Though it does sit about 30 points higher today than the 80s.

OPS in all counts follows that same trend as 0-1 counts – in increased and then decreased, sitting at about 20 points higher than the late 80s.

With all that being said (OPS in all counts is up slightly, OPS in 0-0 counts is up a lot, OPS in 0-1 counts is up slightly)… doesn’t that mean that OPS in a 1-0 count (theoretically a hitter’s count) is down over that same time frame of 1988 to today? Weird.

Brian
13 years ago

the hitters swinging at the first pitch 25 years ago was probably everyone….nowadays its just the guys that can really hit…the other guys who’s numbers aren’t as good, the coaches are trying to get them to work the count more and draw more walks to get the OBP number up….i wouldnt be able to believe that the players all conspired to be “more selective” on the first pitch.

Wobatus
13 years ago

Chris Davis is hitting like it’s still 1998.

jdk
13 years ago

I think the data fully supports my “HR Derby” theory. They’re more selective early in the count, and get better results. But they are NOT changing their approach when they’re behind in the count or have 2 strikes against them (which they are more often than in the past because they are taking more strikes). They still swing for the fence regardless of the count or situation. This ultimately results in more strikeouts, fewer walks, and fewer balls in play, despite the hitter’s “better” selectivity when he is ahead in the count.

How about looking at the important stuff
13 years ago

At the end of the day, after reading both articles, I am inclined to go with Verducci. The point of the game is to score runs. Who cares if OPS is up if less runs are being scored? The team that wins is the team who scores the most. On the same note I wouldn’t care about trends in AVG, BB, or K, either. The only statistic that matters is runs scored.

When the team that wins is the one with the highest OPS (or whatever statistic you want to sub in that is not runs) we can revisit this…oh wait, that will never happen.

John
13 years ago

THANK YOU! I read this article and that was exactly the same thing I thought. Only stat that will ever have any meaning is runs. Just like points in football and basketball and goals in hockey and soccer. All this other stuff is fun for debates about who the better player is in a comparison, but amounts to jack all at the end of the day.

Brad
13 years ago

Great report! not all of it makes sense but its whatever! The ultimate deciding argument is actual hits/runs/home runs! and they are down!

Also, if you want to get more technical, what kind of pitch (fastball, curveball, sinker, slider, change-up…etc) did the pitcher make for his first pitch to the batter? And what does the batter hit better: fastball or a slower pitch??? These are other elements that fail to be taken into account when you put numbers together. Numbers are nice, but they don’t show everything!

Jose Moron-Borjas
13 years ago

Here we have a lot of numbers about when the players swing their bats, but you do no see what the players are thinking when they are facing the pitcher? Are they thinking about statistics or about the kind of pitcher they have in front of them? Wht is the next pitch? You can’t only rely on metrics and what has happened over the years with the time players swing their bats. You can’t put some of the blame in college baseball; if that was so, you’d have to blame language too; some of the latinamerican players you mention, do not speak English fluently! Talk to the players! The research would become more complete and the results could be taken more seriously. Saludos.

MGL
13 years ago

You’ve got all kinds of confounding factors here that would change hitter and pitcher approaches. Drawing any conclusions about whether some of these hitter approaches are optimal or not, based on the results of the PA after a certain count, is a fool’s errand.

For example, if you look at the chart where the last column is OPS+, and which reports the result of all PA ending on a 0-0 count, you will see that the OPS+ is stagnant until 2001, then rises, and is then stagnant from then on, or perhaps until 2009 (the uptick in 09-12 may be noise, who knows?).

Well, that is likely due to the fact that the strike zone was changed significantly in 2001 (higher and narrower).

You also have the PED issue, the addition and subtraction of parks, a possible change in the baseball around 1993 (and maybe again in 94), something weird going on in 1987 and then again in 1988 (or a return to non-weirdness in 1988).

All of these things significantly change batter and pitcher approaches, so I think that the conclusions that David and Verducci are reaching, presumably from the data, are uncalled for…

MGL
13 years ago

Here is a simple example of what I am talking about. Let’s say that prior to a certain year, say, 1993, batters swung at 60% of all pitches, and the resulting OPS was .750. Then, say, starting in 1993, they introduced a much livelier ball. This is all hypothetical of course. Batters would want to swing more often, in general, of course, since when they do, the ball will be hit further and harder (we’ll assume that pitchers don’t change their approach). So, we will see, from 1993 onward, batters swinging at more pitches (at all counts), and production going up at all those counts too.

Are we to conclude that this new batter approach caused the increase in production, and that prior to 1993, batters were taking too many pitches, using a vastly sub-optimal approach? Of course that would NOT be the case, but with the type of analysis that David and Verducci are doing, they might just reach that conclusion.

You can NOT separate (easily at least) the effect of a changing approach itself by batters and pitchers with changes in the environment, like the baseball, weather, strike zone, parks, and even the pitchers and batters themselves (bigger, stronger, less strong, speedier, less speedy, etc.).