Archive for Research

Expanding the Strike Zone for Fun and Profit

Jose Altuve
Troy Taormina-USA TODAY Sports

Ask pretty much any major league hitter, and they’ll tell you that they earn their paycheck with runners in scoring position. A base hit means a run, and you have to score runs to win games. An out — particularly a strikeout — squanders an opportunity to score, and those come vanishingly rarely these days, what with every pitcher in baseball throwing 100 mph with a wipeout slider and all. It’s the highest-leverage spot you can hit in; succeed with runners in scoring position, and your team will probably win, but fail, and it’s going to be a long night.

As far as we can tell, success in those situations — runners in scoring position, high leverage, you name it — isn’t predictive of future success. But that doesn’t mean approach isn’t predictive of future approach, and as you might imagine, hitters behave differently when they can smell an RBI opportunity.

One easy way to conceptualize this change in approach is to think of the edges of the zone and the area just outside of the strike zone — the Shadow Zone, in Statcast parlance — as a good test of what a hitter wants to do. On pitches down the heart of the plate, swinging is a clear best choice. On pitches nowhere near the zone, taking is the only right choice. But pitches that could go either way? The best strategy depends on what you’re trying to accomplish.

With runners in scoring position and no one on first — in other words, a situation where a walk is far worse than a hit — major leaguers have swung at shadow zone pitches 56.4% of the time (in the last two years). On the whole, they’ve only swung 52.9% of the time at those pitches. In other words, they increase their borderline pitch swing rate by 3.5 percentage points when the gap between a walk and a single is the largest.

That’s a rather unimpressive number. It’s the clearest time to swing that you can imagine, and batters are hardly changing their behavior. But that’s logical, when you think about it. Walks aren’t suddenly worthless just because you could drive in a run; juicing up the bases for the next batter still has value. And swinging at borderline pitches is hardly the best way to drive in runs; taking borderline pitches and waiting for a mistake, or for the pitcher to challenge you, might be a better decision.
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Everything You Want To Know About Three-Pitch Strikeouts… and More

Luis Garcia Astros
Jerome Miron-USA TODAY Sports

On Wednesday, the Astros easily handled the Rangers. They won, 9–2, with Luis Garcia’s strong start backed by a typically robust offensive performance. The Astros are very good. The Rangers are significantly worse. There are baseball games like this every day, multiple of them even. But this game stands alone, for one singular feat.

Er, well, dual feat. In the second inning, Garcia was simply too much for the Rangers. He faced Nathaniel Lowe, Ezequiel Duran, and Brad Miller, and wasted no time in setting them down:

That was the 107th immaculate inning — nine pitches, three strikeouts — in baseball history. It wasn’t the most recent one for long, however. In the seventh, Phil Maton came on in relief of Garcia and got right down to business. He faced Nathaniel Lowe, Ezequiel Duran, and Brad Miller, and wasted no time in setting them down:

Hey, that was really convenient! I got to use the exact same sentence again, because Maton exactly repeated Garcia’s feat; he tore through the three Rangers in only nine pitches for the 108th immaculate inning in history. It was, as you’d expect, the first time the same team has accomplished the feat twice in one game, as well as the first time it’s happened twice on the same day, to give you an idea of how out of the ordinary this was.

You didn’t need FanGraphs to tell you that was remarkable, though. Everyone else already has. Instead, I thought I’d take a look at perfect strikeouts — three pitches, one strikeout, no beating around the bush — and see whether this game still stands out if we remove the “innings” part of immaculate innings.

Garcia had those three perfect strikeouts in the second inning, but he actually managed another one in the game. It was, in fact, the next batter he faced: Leody Taveras went down on consecutive pitches before Marcus Semien took a first-pitch ball to end Garcia’s streak. Four three-pitch strikeouts in a game sounds quite impressive, but it’s not even the most in a game this year. Zach Eflin reeled off six perfect strikeouts in his start on May 22. Six other players have notched five such strikeouts in a game, including Garcia himself on April 22.

Extending our lens backwards in time to 2007, the earliest year in the pitch-by-pitch database I used, you’ll be unsurprised to learn that Max Scherzer holds the single-game record. On May 11, 2016, he tied a far more visible record with 20 strikeouts in a nine-inning game. He also struck out nine batters on exactly three pitches. Scherzer might just have a knack for this; he also notched two separate games with seven three-pitch strikeouts (May 26, 2017 and September 20, 2018).

There have been 11 games since 2007 where a pitcher recorded seven or more three-pitch strikeouts. No one else has more than one. Scherzer, it turns out, is the master of the efficient strikeout. Other good pitchers have approached those heights, but only rarely. Here are those 11 games:

Most Single-Game Three-Pitch Strikeouts, ’07-’22
Pitcher Game Date 3-Pitch Ks
Max Scherzer 5/11/16 9
Corey Kluber 4/27/18 8
Cliff Lee 6/23/10 7
Mat Latos 6/25/12 7
Alex Cobb 9/16/13 7
David Price 4/22/14 7
Ian Kennedy 9/2/15 7
Max Scherzer 5/26/17 7
Carlos Carrasco 7/7/17 7
James Paxton 5/2/18 7
Max Scherzer 9/20/18 7

That’s neat, but focusing on that fact highlights only Garcia, and not particularly well at that. If we’re focusing on team perfect strikeouts, the Astros mustered seven; Garcia’s four and Maton’s three were the only ones of the game. That’s part of a three-way tie for most in a single game this year. The Rays notched seven on April 14, and the Astros did it again on April 24. If you’ll recall from above, that’s the game where Garcia had five perfect strikeouts. He’s the standard-bearer for the feat this year.

Zoom out, and things get Rays-y. On August 17, 2019, they struck out ten batters on three pitches apiece, the only team (!) to eclipse Scherzer’s nine-strikeout effort. Houston pitchers certainly looked dominant yesterday, but they needed an entire extra immaculate inning to match the standard Tampa set.

Are you less interested in the specific game and more interested in Garcia’s three-pitch-strikeout prowess? He has 17 of them on the year, which certainly sounds impressive, but only places him in a tie for seventh among pitchers in 2022. Shane McClanahan is first, with a whopping 23. Nestor Cortes, of all people, has 18. Scherzer has 15, and he hasn’t pitched in a month. Garcia is certainly one of the best pitchers in baseball when it comes to going right after the batter and setting them down, but he’s not the best in the business.

Did I succeed in exhausting everyone’s interest in three-pitch strikeouts? Who knows! I find them quite interesting, but then, I find a lot of things about baseball quite interesting. I found yesterday’s Astros feat amazing, but giving it a little more context just makes Scherzer’s feats stand out even more. The three-pitch strikeout is the ultimate expression of pitcher dominance — no waste, just three straight strikes, next please — and it stands to reason that the marquee strikeout pitcher of our generation is also the marquee three-pitch-strikeout pitcher of our generation.


Skin in the (Ball) Game: Do Teams Underperform When They’re Out of the Race?

© Orlando Ramirez-USA TODAY Sports

Recently, I was listening to one of my favorite non-baseball podcasts when baseball unexpectedly cropped up. Well, the theory of skin in the game cropped up. The idea, espoused by many people but notably by Nassim Taleb, is that actors perform better when they get rewarded for a good outcome and punished for a bad outcome. Want a better doctor? Fine them if they misdiagnose a patient, but give them a bonus for prescribing the correct treatment. Better money manager? Force them to invest all their own money alongside their client. You get the idea.

Anyway, one example of skin not being in the game is a sports team playing out the string. For most teams at most times, sports is a very skin-in-the-game-intensive field. If you hit well, you get paid more. If you don’t, you might get sent to the minors. If your team wins, they make the playoffs. If the team doesn’t win, no postseason. The incentives are straightforward.

At the end of a long season, however, it might not feel that way. If you’re 50-100 in late September, the rewards of a good game aren’t that high, and the cost of a bad game is quite low. If you’re 15 games out in the race, being 16 games out won’t suddenly bring out the detractors. You can think of these teams as having no skin in the game; the result of one game won’t change anything for them. Read the rest of this entry »


Does Framber Valdez Warrant a Five Man Infield?

Framber Valdez
Peter Aiken-USA TODAY Sports

FanGraphs readers are a smart bunch. Though the comments can sometimes unravel into a series of shouting matches, the usual atmosphere is encouraging and collegial. For example, here’s a thought-provoking question I received a few weeks ago and my reply to it:

This is from an article I wrote about Framber Valdez and how he was on pace to shatter his own historic groundball-to-fly ball ratio. A five-man infield in any other circumstance would be out of the question, but consider just how many grounders Valdez generates. Among starters with a minimum of 200 innings pitched since 2020, he’s first in groundball rate (66.7%) by a wide, wide margin. With so few balls heading towards the outfield, does it make sense to reinforce the infield instead? It’s an intriguing inquiry, one that I promised would receive an answer. So here goes! Read the rest of this entry »


The High Fastball Isn’t So Scary Anymore

© David Richard-USA TODAY Sports

If you’re a major league pitcher right now, there’s a good chance life is pretty smooth. You’ve realized that you can throw more and more sliders without repercussions; it might even be an ideal strategy. You’ve also learned that by using a two-seam grip, you can upgrade a regular slider into a “sweeper,” which is shockingly effective for a pitch that’s so easy to learn. You’ve probably gained a much better understanding of how and why certain pitches do or don’t move. Knowledge is power, especially in baseball, and the modern pitcher is possibly the most educated athlete around.

Meanwhile, there are formerly innovative approaches that you don’t think twice about nowadays – they’ve become the norm. A great example is the high fastball. Back in the days of yore, a perfect fastball meant one located at the knees, down and away. But as pitch data became widely available, teams started to realize that throwing the fastball up would maximize swings and misses and minimize damage on contact. Regular high cheese also served to counteract the so-called fly ball revolution; an uppercut swing made golfing pitches at the bottom of the zone easier but left a hole at the top. Read the rest of this entry »


Who’s the Worst Secondary Pitch Hitter (Among Good Hitters)?

© Neville E. Guard-USA TODAY Sports

At its core, hitting is about hitting fastballs. I’m not sure that’s a good thing – pitchers don’t throw as many fastballs as they used to, because they know that hitters are hunting fastballs. Look at the aggregate data, though, and it’s clear. So far this year, batters are 93 runs above average against fastballs, and naturally enough, 93 runs below average against all other pitches. Last year, they were 344 runs above average against fastballs. It’s a consistent pattern throughout baseball history. Ask a hitter, and they’ll probably tell you the same thing. You make your paycheck on fastballs, and you hope not to spend it all on everything else.

That’s not to say that it applies to all hitters equally. Mike Trout is a good secondary pitch hitter – he’s a great hitter overall. Rafael Devers might be a better secondary pitch hitter than he is a fastball hitter. The archetype exists, because, well, good hitters are good.

The opposite is true as well. Max Muncy has done almost all of his damage against fastballs throughout his career. So has Joey Votto, surprisingly enough – from 2018 to now, he’s been five runs below average against sliders, curveballs, changeups, and splitters combined. There’s no one way to be a great hitter – you can tattoo fastballs and live with the damage from everything else, hunt everything else and survive against fastballs, or find some happy medium.

I thought it would be fun to figure out who most embodies this “baseball is about hitting fastballs” lifestyle. In other words, I’m looking for a hitter who is good overall, but incredibly poor at handling secondary pitches. It won’t do to find someone who’s bad at hitting sliders because they’re just bad at hitting; Billy Hamilton is the worst slider hitter in baseball over the past five years (by run value per pitch seen), but well, he wasn’t in the majors for his hitting. Read the rest of this entry »


Measuring Pitch-Arounds

© Brad Mills-USA TODAY Sports

On Sunday afternoon, Juan Soto stepped up to the plate in the top of the first inning with a runner on first base. Soto, as he is wont to do, took the first pitch. He took the second pitch, too, as Kyle Freeland struggled with his command. Freeland relented and threw a slider over the heart of the plate, middle-away, hoping to sneak back into the count. Soto hit it 400 feet for a home run, putting the Nationals up 2-0.

When Soto batted to lead off the bottom of the fifth inning, Freeland was still pitching. Again, Soto got ahead 2-0. This time, Freeland was far more careful. He clipped the top of the zone with a fastball for a called strike one, then attempted to paint the corner low and away on his next pitch. He missed, and down 3-1, he threw another pitch low for ball four. Soto took his base, but the Nats couldn’t drive him home.

Why did Freeland challenge Soto in the first? Why did he change his approach in the fifth? I can’t read minds, but the decision seems fairly straightforward to me. In the first, Freeland didn’t have the luxury of pitching around Soto; a walk would put a runner in scoring position. In the fifth, the situation wasn’t quite so bad; a walk put a runner on base, which isn’t ideal, but there’s something primally scary about walking a runner to second.

That’s the theory, at least. It’s how I’ve understood baseball as long as I’ve watched it. Good hitter, base open, advantageous count? That hitter might as well send his bat back to the dugout, because he’ll rarely get a pitch to hit. Put that runner on first base, and the equation changes completely – now a walk hurts too much, and pitchers will take their chances in the strike zone.
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More Fun With Batted Ball Spin Data

Baseballs
Denny Medley-USA TODAY Sports

Last week, I wrote an article about the influence of batted ball spin. The takeaways were simple: For one, even though confounding variables like temperature and wind speed are hard to eliminate, it’s entirely plausible that batted ball spin alone can subtract crucial amounts of expected distance. Also, while hitters may display a penchant for certain types of spin, they seemed to have little control over it on a daily basis. Potential inaccuracies aside, these findings made sense; hitting a baseball is hard, and batted ball spin is just another piece of the puzzle.

After the article ran, I didn’t expect to revisit this topic anytime soon. But two things inspired me to start exploring again. First, a Twitter mutual was kind enough to provide me with Trackman data of college baseball games that include — you guessed it — batted ball spin axis, which opened up multiple avenues of research. Second, Dr. Alan Nathan, a physics professor at UIUC, summarized his own findings on batted ball spin in the comments. Armed with new data and knowledge, it was time to dive back in. Read the rest of this entry »


How Good Are Those Probabilities on the Apple TV+ Broadcasts?

© Troy Taormina-USA TODAY Sports

As you’re probably aware, Apple TV+ has stepped onto the baseball broadcasting scene this year, airing two games every Friday. They’re stylistically different from your average baseball broadcast, even at a glance. The colors look different, more muted to my eyes than the average broadcast. The score bugs are sleek, the fonts understated. The announcers are mostly new faces. And most interestingly, to me at least, the broadcast displays probabilities on nearly every pitch.

As a big old math nerd, I love probabilities. They appeal to something that feels almost elemental. Every time I watch a baseball game, I wonder how likely the next hitter up is to get a hit – or to reach base, or strike out, or drive in a run. It’s not so much that I want to know the future – probabilities can’t tell you that – but I would like to know whether the outcome I’m hoping for is an uphill battle or a near-certainty, and how the ongoing struggle of pitcher against hitter changes that.

The Apple TV+ broadcasts gets those probability numbers from nVenue, a tech startup that got its start in an NBC tech accelerator. According to an interview with CEO Kelly Pracht in SportTechie, the machine learning algorithm at the heart of nVenue’s product considers 120 inputs from the field of play in making each prediction.

Machine learning, if you weren’t aware, is a fancy way of saying “regressions.” It’s more than that, of course, but at its core, machine learning takes sample data and “learns” how to make predictions from that data. Those predictions can then be applied to new, out-of-sample events. Variations in initial conditions produce different predictions, which is why you can think of it as an advanced form of regression analysis; at its most basic, changes in some set of independent variables are used to predict a response variable (or variables). Read the rest of this entry »


The (Lack of A) Conspiracy Against Pitcher Wins

© Gregory Fisher-USA TODAY Sports

Yesterday, a reader in my chat asked me a question I had no idea how to answer: Are teams increasingly pulling pitchers from games after 4 2/3 innings, even with the lead, in an attempt to cut down on wins and arbitration payouts? Here’s the question in its entirety:

My snap judgment was “probably not.” After thinking about it for a while longer, my answer is still no – but now I have some neat graphs and charts that will hopefully make the point clear. Without further ado, let’s dive into the shape of league-wide starting pitching trends since 1974, the first year in our database of game logs.

In 1974, the concept of a five-inning start existed, but it was almost an insult. More than a quarter of starts went nine or more innings. That’s hard to do, particularly when that’s an impossible feat for a visiting team that trails after the top of the ninth inning. If that’s roughly a quarter of games (it’s not every game the visiting team loses, but road teams lose more than half of the games they play), that means that roughly a third of eligible starts went at least a full nine. That’s downright wild. Here’s a graph of that wildness:

There were a few short starts, even back in the 1970s – 21% of starts went fewer than five innings. More importantly, a pattern we’ll see repeated again and again is immediately evident. Managers like leaving their pitchers in for a whole number of innings. It’s a natural endpoint to the day, mid-inning pitching changes can be tricky, it’s a way of boosting your starter’s confidence – there are plenty of reasons for this to be the case, and I’m not sure which is most true, but that’s just a fact of baseball. Managers like to pull their starters between innings rather than partway through. Read the rest of this entry »