It’s May 29, roughly two full months into the regular season, which means, given the year, that it’s time for everyone’s favorite pastime: parsing competing proposals for a new collective bargaining agreement. Wednesday, the MLBPA released its first proposal for a new agreement. Thursday, MLB followed suit with a proposal of its own. Both are best thought of as opening offers, likely to be heavily modified as the negotiations heat up ahead of the existing agreement’s December 1 expiration. But that doesn’t mean that they’re meaningless. I think these early offers are revealing of what each side cares about most. The specific numbers quoted are unlikely to survive multiple rounds of bargaining, but the concepts and structures that each side favors at this stage could tell us a lot about what an eventual compromise looks like. So without getting too bogged down in the details, let’s peruse both proposals and try to tease out what each side is trying to accomplish.

The MLBPA’s Proposal
The players’ first salvo focuses on two things: revenue sharing and early-career pay. Revenue sharing is going to be a key point of discussion in this negotiation. The league has raised competitive balance concerns for years, and it’s clear that there’s public interest in leveling the playing field. Collectively bargained labor agreements don’t solely play out in the court of public opinion, but making the sport more interesting and marketable is a benefit for both sides, so a more balanced system of distributing revenue seems like a clear path towards sustaining the game’s recent growth.

The central piece of the MLBPA revenue sharing proposal is a redistribution of TV money. Currently, teams share a flat 48% of all local revenue, TV included. The MLBPA proposal would change that significantly. In their framework, the first $50 million from each team’s local TV contract, and two-thirds of the amount above $50 million, would be pooled centrally, along with all national TV revenue. Read the rest of this entry »

It has been a good year for walks. Whatever you want to attribute it to – and trust me, I’ve done a lot of attributing – batters are drawing free passes more frequently than they have for a long time. Well, most batters. The San Francisco Giants didn’t get the memo. As a squad, the Giants have walked only 5.8% of the time this year. That’s last in baseball by a mile. The gap between them and the 29th-place Rockies is as large as the gap between the Rockies and the league average. What gives?

My investigation started with the 2025 Giants. Walk rate is a stable statistic on the whole. If you walk a lot in one year, you’re likely to walk a lot the next year. But the Giants were no slouches when it came to taking a free base in 2025. In fact, they had one of the highest team walk rates in baseball – 9.2%, fourth in the majors. In the second half of the year, they walked 8.7% of the time. The 10 Giants who batted most frequently had a combined 9.6% walk rate. Four of those players are no longer on the team, but they were actually hurting the average – the six remaining Giants who batted most frequently in 2025 posted an aggregate 10.2% walk rate.

Let’s start, then, with those six players:

As Keanu Reeves memorably put it: Whoa. These six have taken 61.5% of the Giants’ plate appearances this year. If they were walking at the clip they did last year, that would add a whopping three percentage points to the team’s overall walk rate, placing San Francisco squarely in the middle of the pack instead of historically low. Read the rest of this entry »

Welcome to another edition of Five Things I Liked (Or Didn’t Like) This Week in Baseball. In keeping with the increasingly lenient definition of “this week” that I’ve been using of late, we’ve got stuff from all throughout May in this column. May is a great time to watch baseball. (It’s always a great time to watch baseball, but May is particularly good.) The weather is heating up. Ballparks are swelling with the start of summer crowds. Tarps are coming off. So please join me on a trip through the league, from fun teams to watch to nifty little plays. And as always, thanks to Zach Lowe of The Ringer for the inspiration.

1. The Go-Go Nats
Nationals fans have endured seven years in the wilderness since the team’s 2019 title. Washington’s season-high win total in that span was 71 (2023 and 2024). This year’s team is finally playing around .500 ball, though our projections think the Nats will end up right around that 71-win high-water mark again. (We have them down for 74 at the moment.) But while the winning hasn’t quite come back yet, the fun has.

This year, the Nationals are dominating on offense. They’re leading the majors in scoring by a mile, averaging an enormous 5.49 runs per game. They’ve hit the most doubles in baseball – in fact, they have the most extra-base hits in baseball. They’re top 10 in on-base percentage, top five in slugging, and top five in stolen bases. They’re first in overall baserunning value. They’re third in BaseRuns-projected scoring. This isn’t smoke and mirrors. Read the rest of this entry »

When a meteor* slams into Earth’s atmosphere, it’s moving so fast that it compresses the air in front of it. That compression superheats the air to nearly 3,000 degrees Fahrenheit, and the extreme heat in turn melts the outside of the meteor. The outer layers of rock glow brilliantly as they disintegrate, leaving a trail of plasma in the meteor’s wake. By the time the flying object has descended to around 30 miles above the surface, air resistance slows it to a more reasonable speed, though still hypersonic. At that elevation, the meteor is in what’s known as “dark flight” – without the plasma trail, the remaining hunk of rock is impossible for the human eye to pick up at that speed and distance. This explains why it’s so difficult to hit Chase Burns’s fastball.

*It’s technically a meteoroid until it encounters Earth’s atmosphere, and then the rock plus the trail of plasma is a meteor until the plasma burns out, at which point it becomes a meteorite. You’re welcome, pedants.

Few pitchers release the ball higher than Burns:

Read the rest of this entry »

As the resident FanGraphs playoff odds watcher, I spend a lot of time looking at our playoff odds and trying to figure out both what they’re seeing and what they’re missing. Over the years, I’ve written many audits of how well our odds perform. Last fall, I described a Bayesian method that does slightly better than any of our existing models at predicting playoff teams. It’s particularly useful early in the season, when the headline FanGraphs mode (using projections) can be slow to pick up on new information and the season-to-date mode is prone to overreaction. A Bayesian filter does a good job balancing those two – or so I found last year.

If you’re looking for a detailed technical description of the way that I’m blending up our existing playoff projections to churn out different odds projections, you can find it at the bottom of the article. But first, let’s take a Bayesian trip through the league and highlight the divisions where reconsidering our odds in light of how much the results so far have diverged from preseason expectations matters the most.

AL East

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In high school statistics, we got one rule beaten into our heads over and over again: Don’t extrapolate outside the bounds of your data. Then, when we were done learning that one, we got another rule: Outliers tend to revert towards the mean. Gee, thanks a lot, Mr. Gilliam – how am I supposed to explain Cristopher Sánchez using those two rules?

Look at this table of pitching statistics. Clearly, extrapolating past the edge of Sánchez’s performance seems fine:

We have all of these ERA estimators – FIP, xFIP, xERA, SIERA – because merely looking at someone’s ERA can be misleading. ERA is noisy. Between inherited runners, sequencing, scoring decisions, and just plain old variance, knowing a player’s ERA in one year doesn’t necessarily mean you know how well they played. The whole alphabet of advanced pitching statistics comes down to trying to solve that noise problem by focusing on indicators with greater stability.

In other words, advanced ERA estimators tend to move around less than actual ERA. It follows naturally that changes in ERA estimators are more predictive of future results than changes in ERA. When all of these markers are moving in tandem – and moving by a lot, to boot – the aggregate picture looks very different than your average pitcher with a shiny ERA early in the season. Read the rest of this entry »

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This one’s going to be a little bit of a mashup. Last weekend, I was watching a Dodgers game when Max Muncy made a slick play over at third base. Then he mashed a two-run home run to put the Dodgers on the scoreboard. That got me to thinking about how impressive Muncy’s career has been – never the prime attraction on a Los Angeles team that has employed many of baseball’s best during its reign atop the league, but always a key cog.

But a Muncy article wasn’t the only idea I left that game with. His two-run homer? It only served to narrow the Dodgers’ deficit from five to three. The Braves tacked on more runs late and won 7-2 for a second straight day, taking two out of three from the two-time defending champs. Then the lowly Giants came to town and split a four-game set. The Los Angeles offense, in particular, has been moribund of late. That sounded like an article topic all on its own. But if two articles are good, one article slamming together points from both is better (he said hopefully).

I don’t think there’s anything sneaky or overlooked about Muncy’s excellent start to the 2026 season. When he comes to the plate, he does the same thing every night: He tries to leave the park. That means he’s looking for pitches to clobber, and also trying to clobber those pitches. The looking part, combined with his great batting eye, means plenty of walks and plenty of deep counts. The “trying to clobber” part means plenty of whiffs and plenty of scorched baseballs. It’s an approach that’s easy to describe, but it’s devilishly difficult in practice to strike the right balance between selection and aggression.

Muncy is now in his ninth season of finding that balance. His consistency is remarkable – year in and year out he’s posted a double-digit walk rate, a strikeout rate between 20-27%, and a batting line in the neighborhood of a 130 wRC+. His wRC+ is 21st among qualified hitters over that span, wedged between Hall of Fame hopefuls Jose Altuve and Paul Goldschmidt. His batting line is a dead ringer for Kyle Schwarber’s. This year, Muncy is off to an excellent start, on pace for his best year since 2018. It’s not so much that he’s found a new gear; you’d have a hard time differentiating between his 2025 and 2026 component statistics. That’s basically my point, though. What he’s doing isn’t surprising, because he’s made it commonplace. He’s hit more or less like this for a decade. Read the rest of this entry »

One of my favorite article genres to produce is “you’ve never heard of this reliever, but he’s great now.” Generally speaking, it’s either some dude who has been in the majors for a while but recently learned something new, or someone who burst onto the scene with some quirky pitch, delivery, or approach. Today, though, I’m trying a slightly different variation. You probably have heard of Dylan Lee. He’s appeared in the majors for six straight years and racked up more than 200 innings pitched in that time. He’s not doing anything particularly new in 2026. But he’s great, and somehow we’ve basically never written about him, so I think it’s time to rectify that shortcoming.

In 19 2/3 innings of work this year entering Wednesday, Lee has posted a 0.92 ERA and 1.08 FIP. He’s striking out a third of the batters he faces and barely walking anyone. And while no one is that good in the long run, Lee’s career stats are very solid, as well. He has a career 2.65 ERA and a 3.24 FIP (2.92 xERA, 3.19 xFIP, 2.79 SIERA). Sure, it’s over only 224 innings, but those numbers are superb. He has the 10th-best ERA of any reliever since his debut, and every other run prevention estimator is similarly situated toward the top of the table.

The simplest way to describe Lee’s game is that he throws a gyro slider as often as possible, plus a fastball and changeup when he needs to switch things up. He’s throwing that slider 56% of the time this year, which is narrowly a career high, but he’s thrown 52.5% sliders in his career, so this is hardly a complete sea change. He leans especially hard on the slider against lefties, using it more than three quarters of the time. But even against righties, he throws 46% sliders and spots his other two pitches off of his breaking ball.

While sweeping sliders are all the rage these days, Lee doesn’t throw one. His slider is most remarkable for how little it breaks. He’s not quite Tatsuya Imai out there, but in 2025, his average slider moved about an inch to his arm side, the “wrong way.” This year so far, it’s moving about an inch to his glove side. Unlike many slow, straight sliders, Lee’s has a tiny bit of induced vertical break; the pitch falls about four inches less on its flight to the plate than your average mid-80s gyro slider.

That sounds terrible, right? “Hey, I throw my slider kind of slow, and also it doesn’t slide, and also it doesn’t have any downward break.” Anyway, on an unrelated note, here’s a leaderboard from 2026:

Huh. Read the rest of this entry »

Since the start of the year, I’ve been watching Jordan Walker mash the ball as I try to figure out something to say about it. As a card-carrying Walker booster – I’ve got a Top 50 Trade Value ranking to prove it – I’m very willing to believe in Walker’s promise. But as a sometime Cardinals fan – being a professional baseball writer makes fandom complicated – I’m afraid of getting burned. Walker has already gone from one of the most heralded prospects in the game to one of its worst-performing full-time players. Now he’s one of the best-performing players? Being a little skeptical is just a matter of self-preservation.

Now that we’re a month and a half into the season, though, I can’t keep myself from investigating. Walker hasn’t had stretches this productive since his rookie year. He hasn’t had stretches where he’s hit the ball on the ground this rarely as a major leaguer, period. He’s been 14.5 runs above average offensively in 2026 – after being 13 runs below average offensively for his entire career before now. If that isn’t screaming for an article, I don’t know what is.

If you know two things about Walker, they’re probably these: He swings hard, and he can’t get the ball off the ground. That makes it easy to think through how he might improve: keep swinging hard and stop hitting it on the ground. When I designed the Squared-Up Explorer for the FanGraphs Lab, Walker was actually one of my favorite examples to use. Look at where his best swings are, compared to another guy who swings very hard:

The bubble size represents frequency, and being further right means more squared-up contact. Before 2026, Walker squared up the ball most frequently on grounders, and he hit a ton of them. For his part, Judge isn’t squaring the ball up every time he hits it or anything, but he’s following a simple recipe. He swings really hard, he gets the ball in the air a lot, and then he profits. The harder you swing, the more valuable hitting the ball flush becomes; Judge doesn’t need to hit it pure every time to clobber dingers at a historic rate. Read the rest of this entry »