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A few weeks ago I wrote about James Shields’ success with runners in scoring position, specifically noting how it coincided (causation or not) to a change in the righty’s approach. This led down a deep, dark rabbit hole in which the BP research staff helped me compile a more exhaustive list of how pitchers changed their tendencies in these situations. The full data set includes the absolute changes in pitch selection in several different count situations (first pitch, pitcher ahead, count even, batter ahead, etc.); for this particular post, though, I’ll focus on just one of these subcategories: first pitches.

I should disclose before we get too far into this that I’m honestly not sure if the data we’ve mined is truly descriptive and valuable. In theory it is both descriptive and valuable, but it’s very possible that there’s a better way to interpret and process this data. Or, perhaps, that there’s a wrong way to interpret and process this data, and that I’m doing it. So with that, I’ll explain the methodology for this analysis.

The BP research team scoured our PITCHf/x database, pulling the pitch-type tallies in each ball/strike state for every major-league pitcher. From there, the pitch counts were broken down into two base situations: runners in scoring position and no runners in scoring position. With these pitch counts we were able to break out pitch usage percentages and compare them to one another. Adding the absolute values of each change, we gave the pitchers all “change in approach” scores. For example:

Pitcher A throws two pitches: a fastball and a slider. On the first pitch of an at-bat with no runners in scoring position, he throws 65 percent fastballs, 35 percent sliders. But when a runner reaches second and/or third, 75 percent of Pitcher A’s first-pitches are fastballs, and 25 percent are sliders. The 10 percentage point increase, and the 10 percentage point decrease, add up to a 20-point change. We repeated this process for different ball/strike situations—pitcher ahead, count even, batter ahead—and added those changes. This gave every pitcher one total change score, and various sub scores. (The full data set—more than 600 pitchers—was trimmed down at the cutoff of 250 pitches in each scenario, with the goal of removing most non-regular relievers. Different pitch count cutoffs would give you a slightly different leaderboard, but the end result for relevant pitchers was about the same.)

To move from the hypothetical example to real examples, we can illustrate the process with two pitchers at opposite ends of the spectrum. The pitcher who most changed his pitch usage when he got into trouble was Hisashi Iwakuma, while Josh Collmenter was last among starting pitchers. Iwakuma’s first-pitch change score when runners reached scoring position was about 83 percentage points. Collmenter’s pitched selection in the same situations was around 5 percentage points.

To see what that looks like: Below are pitch usage charts for each pitcher—no RISP on the left, RISP on the right. These side-by-side images make comparisons between the two base situations easy–well, easier. Click to enlarge for true ease:

Collmenter:

Iwakuma:

For Collmenter, the biggest change in first pitch approach with RISP is a 3 percentage-point hike in changeups. He throws slightly fewer cutters, and an almost imperceptibly smaller number of curves

Iwakuma, meanwhile, cuts down on his first-pitch sinker use by 30 percentage points, and his four-seamer by about 8 percentage points. Most of those pitches become splitters or sliders.

Those shaded boxes in the Brooks Baseball charts signify more extreme adjustments to the situation: Red means an increase of at least 10 percentage points above his baseline pitch usage, blue for a decrease of the same size. Collmenter’s chart is quiet. Iwakuma’s could be a Mondrian painting.

It’s worth noting that pitching one way isn’t better than the other. Sure, the excellent Iwakuma and his ace teammate Felix Hernandez are the two pitchers whose first-pitch approach changed the most when runners reached scoring position. But Clayton Kershaw made the fifth-smallest adjustment, according to this method of measuring. For greater context, here are the pitchers whose first-pitch approaches changed the most depending on the base situation*:

 Pitcher # First Pitches Δ in First Pitch Usage Hisashi Iwakuma 706 83.31% Felix Hernandez 908 77.30% Francisco Rodriguez 263 76.65% Drew Pomeranz 273 73.08% Sonny Gray 897 71.92% David Robertson 251 69.05% Shane Greene 344 67.53% C.J. Wilson 756 67.04% Erasmo Ramirez 336 65.16% Francisco Liriano 681 64.21%

The AL West shows up quite a bit in this list with Iwakuma, Hernandez, Gray, Wilson, and Ramirez all representing. Meanwhile, the pitchers who had the smallest changes in pitch:

 Pitcher # First Pitches Δ in First Pitch Usage Mike Minor 638 9.28% Brandon Cumpton 306 9.10% Ronald Belisario 283 8.33% Hyun-Jin Ryu 604 8.28% Phil Hughes 849 6.96% Dale Thayer 260 6.09% Clayton Kershaw 707 5.75% Zach Britton 280 4.77% Josh Collmenter 723 4.70% Jake McGee 270 1.02%

It is worth noting that this list is dominated by relievers, but Ryu, Hughes, and Kershaw were all good or great with an “unnuanced” approaches, reinforcing the reminder that changing an approach isn’t necessarily a good or a bad thing—it’s just a thing. For what it’s worth, the pitcher I profiled a few weeks ago came in at 98th on the list. While he’s still in the top half (238 pitchers cleared our minimums), Shields ended up a lot lower on this list than I expected based on the analysis I had done previously.

This point is important though, because while the changes in Shields’ approach for the two base situations (a 26.1 percent change on average) seemed significant, there were 97 other pitchers who changed more significantly. This sheds light on how little research has been done on pitch usage changes, a worthwhile topic for understanding why some pitchers might perform better or worse in a wide variety of situations.

Let’s take a look at how this comes to life for Iwakuma. All of the following GIFs come from the bottom of the second in Iwakuma’s September 21st start against Houston, beginning with Jake Marisnick at the plate with one out:

Iwakuma starts Marisnick off with a sinker, his more typical first pitch approach. With no runners in scoring position, half of his first pitches to righties are sinkers. Marisnick took it for a strike. Later in the at-bat, Marisnick would line a single to left. Next up was Gregorio Petit, a right-hander:

Petit would also get a sinker—51 percent of the time, a right-hander facing Iwakuma would. He hit a hard grounder for a single. Marisnick moves into scoring position, and our expectations for Iwakuma’s first pitch change dramatically. Up steps switch-hitter Jonathan Villar:

As Petit did, Villar attacks the first pitch—but this time it’s a splitter. With nobody on, Iwakuma throws first-pitch splitters to lefties just 13 percent of the time. With RISP, it spikes to 50 percent. Maybe the advance scouting reported noted this and it didn’t help Villar, or maybe it didn’t note it at all: Either way, he grounds out to second. Two down; runners on second and third. Next up for the Astros is leadoff hitter Robbie Grossman.

Grossman takes the offering for a ball as Iwakuma buries a splitter in the dirt. Once again we see Iwakuma going with a split-fingered fastball on the first pitch of an at-bat. Five pitches later he strikes out Grossman with another splitter in the dirt, ending the inning.

This inning is more of an in-a-nutshell GIFbomb than anything we can draw conclusions from. Even if we could draw conclusions—like, look at how Iwakuma generates early weak contact with the splitter, or something along those lines—they would just raise more questions. For example, why wouldn’t Iwakuma throw more first-pitch splitters all the time if it’s so much more effective than going sinker first? And, In fact, Iwakuma was about 55 percent worse with runners in scoring position than overall this season. Was tweaking his approach so significantly an optimal strategy at all?

So no, no conclusions. More than anything this analysis raises further questions about why pitchers alter their repertoires, and what impact such volatility might have on performance. For Iwakuma, changing approach as runners advance around the bases is standard operating procedure. We can’t say whether the change is good or bad. We can say, at least, that it’s there, and that’s a start.

*Note: There are small differences between the numbers in the charts and the numbers in our math, as those in the data set we pulled do not exclude intentional balls and pitchouts.

Tremendous thanks to Rob McQuown for statistical research, and to Sam Miller and R.J. Anderson for their counsel.

This is a free article. If you enjoyed it, consider subscribing to Baseball Prospectus. Subscriptions support ongoing public baseball research and analysis in an increasingly proprietary environment.

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lichtman
10/17
This is a very complex topic so I'll only throw out a few thoughts.

I think you are capturing a lot of randomness. There is no particular reason why a pitcher, any pitcher, should alter their repertoire with runners in scoring position, given the same batters of course. Which brings up another issue. You are probably capturing differences between approaches to different batters since the middle of the order tends to come up with runners in scoring position. And a lot of whether a pitcher changes his approach depending on the batter has to do with his unique repertoire.

Anyway, as I said there is no particular reason to change an approach with runners in scoring position. You cannot make the argument that a pitcher should pitch tougher or better in those important situations (and they are important) because that argument gets defeated by the argument that he should pitch as tough as he can in ALL situations. On the other hand, since a pitcher may get reduced benefit from exposing all of his pitches to often, perhaps he can hold back certain pitches to some extent and then unleash them in important situations. Again, that assumes that if he uses those pitches in all situations, he gets reduced benefit from them in general, which is a questionable assumption.

You can also make the argument that a pitcher can and should exert a little more effort with runners in scoring position assuming that he has a limited amount of effort while he is in the game and can and should budget that effort in different situations. In fact research does show that pitchers throw slightly harder in certain more important situations I think. But that has little to do with repertoire.

The ONLY reason for a pitcher to change approach is because the value of certain events change. For example with a base or bases open (and runner in scoring position obviously), where a walk is MUCH less valuable than a hit, the pitcher will throw more breaking pitches. Breaking pitches are harder to hit, lead to more K, but also to more walks.

With a runner on first and less than 2 outs, he may tailor his pitches to get a ground ball. With a runner on third and less than 2 outs, he is trying for the K so he also throws more breaking pitches and more pitches in the corner in general.

I think the RISP or no RISP is a bad dichotomy if you want to look at how pitcher approach changes. For example, bases loaded (where you don't want a walk) is completely different from, say, runner on second only, where you don't mind a walk.

Multiple runners on is different from 1 runner on, because the HR is terrible with 2 or 3 runners on.

And of course outs (and score) is also critical to approach.

I realize that you were tying this in to the Shields RISP issue, but any research into how pitchers change their approach must use more nuanced (and actually relevant to approach) subsets of base runners and outs.
BSLJeffLong
10/17
Thanks for taking the time to read & provide feedback. I tend to agree with pretty much everything you said. Originally I requested the RISP vs. no RISP data because you had asked in the comments there how Shields compared to other pitchers in those same situations. I tend to agree though that the situations are too vague, and as a result capturing a lot of factors influencing approach as you mentioned above.

Like I said in the body, this was the first stab at diving into this on a league-wide level. And honestly, it took me and those who helped me out interpreting the data, several weeks before I was comfortable with it enough to write something up. I think the last paragraph gets to a good deal of what you mentioned:

"So no, no conclusions. More than anything this analysis raises further questions about why pitchers alter their repertoires, and what impact such volatility might have on performance. For Iwakuma, changing approach as runners advance around the bases is standard operating procedure. We canâ€™t say whether the change is good or bad. We can say, at least, that itâ€™s there, and thatâ€™s a start."

It would be interesting, for example, to see if Kershaw (whose approach is extraordinarily consistent) continues to not change his approach with a runner on 1st and less than two outs.

Obviously the only issue with getting further down the funnel when it comes to situations is that you run into sample size issues. Still, I think there's a lot to learn from how pitch usage changes.
therealn0d
10/17
Either I misunderstood this post, or you just wrote:
"Anyway, as I said there is no particular reason to change an approach with runners in scoring position."

And then reeled off a list of particular reasons why a pitcher might do just that.
lichtman
10/18
I didn't word that very well. What I meant is that every single situation requires a different approach, and RISP is actually a conglomeration of dozens of different situations each requiring its own approach.
therealn0d
10/18
Well, you did begin with "this is a very complex topic." And it is. Even with perfect data it would be hard to know "did he really mean to throw that...there...now?" Which leads me to wondering if it would ever be possible to determine when the pitcher and catcher got crossed up.
10/17
Really enjoyed this, Jeff. Certainly seems like an area of study worth diving deeper into.

Would be interesting to see if those first-pitch deltas remain consistent from year to year. Can't imagine the hours it would take to collate all the data needed for something like that, though. Don't want to give you and Rob a conniption.
therealn0d
10/17
At the point you have the dataset (assuming the year is one of the variables) the rest is (relatively) easy. The really hard part is the sanity check.
therealn0d
10/18
Why would someone downvote this? All I pointed out was that the hard part is composing a dataset, and after that manipulating it is relatively easy.
BSLJeffLong
10/20
To answer both of your questions - this is certainly feasible. It would take Rob altering his queries, but I'm not sure it'd be a tremendous task to undertake.

It's on the side burner for now, though I may end up revisiting it once the offseason is in full swing.
therealn0d
10/20
Honestly, I'm surprised you guys put this much effort into this while the postseason is in full swing. And I don't think Rob would need to rewrite any queries. I would be able to tell right away if I saw the dataset. If there's any kind of date or pitch ID associated that would be all that's needed, really (I think). You might see if Rob Arthur wants to lend a hand...but yeah, on the side burner. Let's enjoy what's left of the season.
jfranco77
10/20
A couple more things to think about.

Though it's not the case for Iwakuma, I would think catchers are less likely to call, and/or pitchers are less likely to throw, pitches in the dirt with RISP. Or at least with runners on 3rd. Don't want the ball getting to the backstop. Interestingly, though, Iwakuma throws MORE splitters with RISP and I would think that's a riskier pitch.

(I believe it's actually true that catchers call more fastballs with runners on first.... I know we all *think* it's true. But that's not a main consideration.)

Second, catcher tendencies in general. If both Iwakuma and Felix do something, maybe it's Mike Zunino who wants a vastly different approach with runners on. I don't know if there's enough data for backup catchers to compare, but it's worth considering.