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I’m going to give you a little cheat sheet for writing about deadline moves. If you’re talking about a seller who traded a player for a minimal return and you’re looking for silver linings, you can mention “opportunity.” It has two big advantages. First, it’s nebulous and hard to disprove. If you make a claim about a specific player, it might be wrong. If you say that a roster spot is an opportunity, how will someone counter that? But more importantly, roster spots really are opportunities, so your analysis will have the advantage of being correct. Case in point: Nate Lavender.

If you’re wondering who that is, that’s exactly what I’m getting at. Lavender debuted on August 4, the day after the Mets sent half the team out of town at the trade deadline. He was one of five Mets pitchers called up that day, a hockey-style line shift in the bullpen. Not all of them panned out. Xzavion Curry and Chayce McDermott are back in the minors. Jefry Yan has a fun strikeout celebration and a 5.18 FIP. But Lavender has been good enough that he’s worked his way from his big league debut into a setup role in three weeks. Opportunity, indeed.

A quick recap of Lavender’s minor league career: He was the Mets’ 14th-round draft pick in 2021, climbed the minor league ladder despite below-average velocity and stuff, and then blew out his elbow early in the 2024 season. He had an internal brace surgery that summer, and then the Rays plucked him away in the Rule 5 draft that December. They parked him on the 60-day injured list for the entirety of the 2025 season, as a bone spur in his elbow delayed his rehab. When the year ended and the 60-day IL disappeared, the Rays returned him to the Mets rather than place him on their 40-man roster. Read the rest of this entry »

Welcome to another edition of Five Things I Liked (Or Didn’t Like) This Week. I took a two month hiatus from writing this column because we had a heavy summer of evaluating baseball, and as it turns out, it’s tough to both analyze baseball and watch it entirely out of a sense of whimsy. But now the tables have turned. There are no more studies to do on prospect valuation. The trade values have been tabulated. The deadline has passed. The playoffs are still a month away. There’s not much to do other than watch baseball and enjoy, whether it’s playoff races, dominant performances, exciting debuts, or just the beauty of a well-played game on a warm summer evening. So kick back, relax, and join me in thanking Zach Lowe of The Ringer for the article format that I’ve been riffing on for the past four years.

1. Rangy Infielders
During the peak of the infield shift, 5-3 double plays had a brief heyday. With three defenders on the right side of the infield against most lefty batters, the third baseman played a de facto shortstop for large portions of most games. When those lefties grounded out to short with runners on, third basemen somewhat frequently fielded the ball, stepped on second, and threw to first to complete the play. But with two infielders now required to be on each side of second base, it wouldn’t make any sense for a third baseman to get the ball and then sprint past the shortstop to tag the base and make the relay throw.

Or would it? Read the rest of this entry »

Last week, I saw Aaron Ashby lean on his loopy curveball when he found himself in a jam:

Later that day, I was watching the Tigers when Drew Anderson used his own big hook to finish off an at-bat:

I’m a longtime admirer of the giant 12-to-6 curveball, a pitch that is on the decline across the majors. There’s a good reason for that – without delving into it too deeply, velocity is very important. The league-wide curveball rate is down by nearly a quarter over the last decade, and the curves that remain tend to be harder and sharper than the ones I grew up seeing. But no amount of cold hard data about the pitch’s effectiveness would make it less visually enjoyable for me. So in this, the age of the looping breaker’s decline, I set out to find some good examples of my favorite pitch, even as guys throw it less and less frequently.

How do you define a looping curveball? My first thought was to look for the curveball that falls the most from its initial trajectory as it heads home. There’s just one problem with that definition, and that problem’s name is Victor Robles:

Amazingly, this clip doesn’t come from either the 22-0 or 19-2 blowouts the Mariners endured last week; they’re having some kind of month on the “getting blown out” front. But that perfectly located curveball had an absurd amount of downward movement because he threw it at 46 mph. I don’t even think it’s a curveball, to be honest; Statcast says it had nearly a foot of positive vertical break from backspin. In any case, clearly this criteria isn’t sufficient for our purposes. Read the rest of this entry »

Sunday afternoon, the Astros gave up seven unanswered runs to lose to the A’s 7-6. That loss, against the team with the worst record in the American League, dropped Houston below .500 for the first time this month, and into a tie with the Texas Rangers for the AL West division lead. That was the last game of a 3-9 homestand. The capper to this bummer of a fortnight in Houston followed promptly; the team and GM Dana Brown mutually agreed to part ways Sunday evening, which is team-and-manager speak for firing him.

Boy, am I bummed that I’ve already made an Apollo 13 reference about the Astros this year. Two in the same season would just be too many. So allow me to use some Shakespeare instead: Something is rotten in the state of Texas. While a 12-game stretch of poor play is a strange reason to change GMs, this move wasn’t about a couple of poor weeks of play. Instead, it’s about the last couple of years of poor play; the once-dominant Astros missed the playoffs in 2025, and this year they’re on track for their worst record since 2014 (excluding the pandemic-shortened 2020 season, when they went 29-31 but still made the playoffs). The farm system is one of the worst in baseball – 29th in our farm system rankings. The big league team has been outscored by 44 runs this year, and BaseRuns suggests Houston has played even a bit worse than that. Things really have deteriorated in Space City.

What’s meaningfully less clear is how much of that blame should be apportioned to Brown. He joined the Astros immediately after their 2022 World Series victory, replacing the departing James Click. Not many incoming GMs inherit a roster that just won the whole ball of yarn, but that cuts both ways. Brown inherited a great roster as well as the kind of dysfunction that leads a team and its GM to split up while simultaneously reaching the peak of the sport. Read the rest of this entry »

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Welcome to Mathemadage, a new series where I investigate time-honored baseball adages using whatever data I can get my hands on and explore whether there’s any validity to them. I’ll apply my normal Ben Clemens mixture of a bit of math, a bit of intuition, and plenty of healthy doubt in declaring strong solutions to complicated problems. I hope to demonstrate that some of these true and others false, but I’m sure that many will end up in a suggestive but unprovable middle ground. And true to the premise of the series, we’re starting off with a fun adage that resists easy conclusions.

If you watch a baseball game from start to finish, you’re pretty much guaranteed to see a hitter get tied up on an inside fastball. “Got jammed,” the announcer might say, or maybe, “He just couldn’t get around on that one.” It’s a visual reminder of one of the pitching truisms that I learned as a kid and haven’t forgotten since: hard in, soft away.

I intuitively look for this pitching pattern when I’m watching a game. Hitters look incredibly uncomfortable when they’re trying to get their bat around a fastball in on their hands. Now that we have a few years of bat tracking data, though, I can do better than just vaguely searching for this effect. So this week, when I saw someone get jammed, I winced in sympathy and then started furiously downloading spreadsheets. Read the rest of this entry »

After taking a few months off from releasing new experimental data visualization options in the FanGraphs Lab, I’m happy to announce that we’re back at it. Meet the Count Progression tool:

With the advent of the ABS challenge system, this year’s league-wide walk rate has been in the news. The first month of the season featured a huge number of walks, and while subsequent months haven’t been quite as extreme, we’re still tracking for the highest full-season walk rate of the 21st century (2020 was weird, naturally). When I was tracking down where those extra walks were coming from back in May, I came up with the idea of looking at each count in isolation to hunt for changing behavior. This tool is an offshoot of that line of research. Read the rest of this entry »

There are a lot of great statistics in baseball these days. They measure everything! Swing path tilt? Contact point against center of mass? Exit velocity? Hard-hit rate on opposite field line drives? You can get a report on any of those things at the wave of a few fingers. Expected wOBA? Barrel rate? There are acronyms and stat blends and projection aggregates for days. It’s analysis paralysis; the hard part isn’t finding stats to describe hitters, but figuring out which ones not to use.

I don’t have a foolproof method for seeing through all the noise for you. But I do have a fun experiment in how to work with statistics in such an overwhelming environment. I want to suggest a method that I call, These Things Are Good. Basically, it boils down to this: Come up with some statistics that you think are good without pre-determining which players you’re looking for, measure how good the entire league is at your statistics in question, and see what shakes out.

How should we do this in practice? I started by saying that I think pulling the ball when you hit it in the air is good. That gives me the first statistic I care about: air pull rate. I turned that into standard deviations for every player in baseball so that we could compare apples to apples across multiple statistics, then started looking for who the standouts were across all categories.

Air pull rate is nice, but it’s certainly not the only statistic that I’m interested in. Next, I wanted guys who hit the ball hard when they put it in the air. After all, exit velocity matters far more when batters can elevate. I did the same thing and put that in z-score terms via standard deviations. If you’re wondering what kinds of hitters these two categories identify, Kyle Schwarber, Griffin Conine, and Junior Caminero are the top three. Read the rest of this entry »

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