Spring is for extensions. As surely as swallows flock to Capistrano or salmon charge upstream, major league teams spend February and March offering their young stars sackfuls of money in exchange for years of team control. Sure enough, the Diamondbacks and Corbin Carroll followed the path of least resistance over the weekend in agreeing to an eight-year deal worth $111 million, with a ninth-year option for $28 million and $20 million in various contract incentives.

That sounds like a lot of money. Carroll, after all, has only played 32 games in the major leagues and has accrued only 772 professional plate appearances. But do the math, and you can see why Arizona offered this deal, and also why Carroll accepted it.

Carroll isn’t some random recent debut. He’s the number two prospect in baseball, a power-contact-speed-and-defense threat who has dismantled every level of competition he’s faced. That includes the major leagues; that 32-game debut saw Carroll hit .260/.330/.500 with superlative baserunning and defense. He looked like an All-Star right away, and truthfully, he’s always looked like an All-Star. That’s how you end up as the number two prospect in baseball as a 5-foot-10 outfielder so quickly despite missing nearly two consecutive seasons of playing time thanks to the pandemic and then injury. Read the rest of this entry »

Ah yes, you’ve made it through Prospect Week, reading our Top 100 list, interviews with both prospects and team personnel, Picks to Click, and myriad other prospect-focused delights. You might think that nothing could top that huge eruption of prospect coverage. And you’d be right! But as I’ve done for the past two years, I’m going to contribute a small postscript to the week by picking some hitting prospects who intrigue me and who I think stand a better-than-average chance of making noise in the major leagues.

In the past, I’ve done pretty well at this. My hit rate hasn’t been 100% or anything, but let’s put it this way: of the four betting favorites for NL Rookie of the Year for 2023, one is Kodai Senga, one is consensus all-world prospect Corbin Carroll, and the other two have appeared on the previous editions of this list. That’s Miguel Vargas and Ezequiel Tovar, if you’re keeping score at home, and both also feature on our Top 100 list this year. They’ve gone from being interesting guys with promising statistical markers to capital-G guys, which is exactly what I’m trying to do when putting this article together.

That said, it’s getting harder. The 2021 edition of this list featured some carping about Eric Longenhagen ranking Gabriel Moreno in the 100, because he was the exact kind of player who might not have been highly regarded in earlier eras of public prospect evaluation but who had all the markers of future success. This time around, the Top 100 has even more Moreno types, prospects who combine raw tools that might land them just short of the list with statistical markers that scream future big leaguer. Read the rest of this entry »

Last week, we published our playoff odds for the 2023 season. Those odds contain a ton of interesting bells and whistles, from win distributions to chances of receiving a playoff bye. At their core, however, they’re based on one number: win totals. Win totals determine who makes the playoffs, so our projections, at their core, are a machine for spitting out win totals and then assigning playoff spots from there.

We’ve been making these projections since 2014, so I thought it would be interesting to see how our win total projections have matched up with reality. After all, win total projections are only useful if they do an acceptable job of anticipating what happens during the season. If we simply projected 113 wins for the Royals every year, to pick a random example, the model wouldn’t be very useful. The Royals have won anywhere from 58 to 95 games in that span.

I’m not exactly sure what data is most useful about our projections, so I decided to run a bunch of different tests. That way, whatever description of them best helps you understand their volatility, you can simply listen to that one and ignore everything else I presented. Or, you know, consider a bunch of them. It’s your brain, after all.

Before I get started on these, I’d like to point out that I’ve already given our playoff odds estimates a similar test in these two articles. If you’re looking for a tl;dr summary of it, I’d go with this: our odds are pretty good, largely because they converge on which teams are either very likely or very unlikely to make the playoffs quickly. The odds are probably a touch too pessimistic on teams at the 5–10% playoff odds part of the distribution, though that’s more observational than provable through data. For the most part, what you see is what you get: projections do a good job of separating the wheat from the chaff.

With that out of the way, let’s get back to projected win totals. Here’s the base level: the average error of our win total projections is 7.5 wins, and the median error is 6.5 wins. In other words, if we say that we think your team is going to win 85.5 games, that means that half the time, they’ll win between 79 and 92 games. Past performance is not a guarantee of future results, but for what it’s worth, that error has been consistent over time. In standard deviation terms, that’s around 9.5 wins. Read the rest of this entry »

Read the rest of this entry »

The Rangers have made it rain in free agency for two years running. Corey Seager, Marcus Semien, and Jacob deGrom highlight their haul, but Andrew Heaney, Jon Gray, and Nathan Eovaldi are no slouches either. Texas shopped in bulk in the luxury aisles of free agency, and that shopping vaulted the expectations higher. The team hasn’t won 70 games since 2019 but is broadly projected, whether by playoff odds or betting lines, to end up in the 80s this year and to compete for a playoff berth.

Until late last week, the Rangers were expected to do so while attempting the team-building equivalent of playing with one hand tied behind their back. Baseball teams are required to use nine different batters, but the Rangers were short a few. Their left field plans involved Bubba Thompson, Brad Miller, Ezequiel Duran, Josh H. Smith, non-roster invitees, duct tape, and a ouija board. There’s no polite way to say this: that’s bad. But the Rangers knew it, and they acted to address their shortfall by signing Robbie Grossman to a one-year deal worth at least $2 million, and up to $5 million depending on incentives. Read the rest of this entry »

Michael Wacha is a boring free agent. Don’t take it personally, Padres fans or Cardinals fans from his electrifying 2013 run; he’s still a very competent pitcher who delivered a classic playoff performance as a rookie. At this point in his career, though, he’s a competent rotation filler, a fourth or fifth starter who offers bulk innings at a reasonable rate. As Michael Baumann already detailed, that suits San Diego just fine.

Naturally, since this is the Padres, that bread-and-butter signing comes with a wildly complicated contract structure. It’s a one-year, $7.5 million deal, or a three-year, $39.5 million deal, or a four-year, $26 million deal with innings pitched bonuses — or even some fraction thereof. No word on whether it’s also Optimus Prime, but it’s certainly a transformer:

Wacha deal with Padres:
Four years, $26M

Signing bonus $3.5M

2023 $4M

Club options, must be picked up simultaneously
2024 $16M
2025 $16M
 
If club options declined
2024 player option $6.5M
2025 player option $6M
2026 player option $6M
All exercised one at a time.

— Ken Rosenthal (@Ken_Rosenthal) February 16, 2023

One thing is for sure: the Padres aren’t afraid of a little complexity. They signed Nick Martinez to a similar deal earlier in the offseason. These nested and mutually exclusive options are hard to parse, but I think they’re an interesting idea, so let’s talk through the different ways this deal could go and what it means for both Wacha and the Padres. Read the rest of this entry »

Earlier this week, as is tradition, FanGraphs founder David Appelman went into his garage, turned off all the lights except for some candles, and performed a dark and arcane ritual. The words were carefully chosen and spoken precisely, with any variation promising disaster. Then he went back inside, pushed a few buttons on his computer, and now we have playoff odds for 2023!

Okay, fine, that isn’t exactly how it goes down, but it’s close. Our playoff odds bring together pieces of a lot of features you’ve already seen on the website. We start with a blended projection that incorporates ZiPS and Steamer’s rate statistic projections. We add in playing time projections from RosterResource, which incorporate health, skill, and team situation to create a unified guess for how each team will distribute their plate appearances and innings pitched.

With playing time and production in hand, we use BaseRuns to estimate how many runs each team will score and allow per game. That gives us a schedule-neutral win percentage for each team, because you can turn runs scored and runs allowed into a projection via the Pythagorean approximation. From there, we simulate the entire season 20,000 times, with an odds ratio and a random number generator determining the outcome of each game on the schedule, and voila! Our playoff odds. Read the rest of this entry »

I don’t like this title any more than you do. It just sounds so wrong. The guy with the largest contract signed by a pitcher in the history of the game is underrated? The New York Yankees ace isn’t being given his due? Preposterous! I might as well say no one watched the Super Bowl, or that we aren’t paying enough attention to weather balloons these days.

But uh… it’s true. I don’t have to like it and you don’t have to like it, but Cole is still one of the best pitchers in baseball, despite falling somewhat out of that conversation of late. He wasn’t even the most talked-about Yankee starter last year – that’d rightfully be Nestor Cortes. So consider this a Cole puff piece.

To begin, let’s consider our Depth Charts projections. These projections blend ZiPS and Steamer to produce rate statistic forecasts for every player. From there, Jason Martinez projects playing time, and those playing time projections cross with the rate statistics to produce overall projections. Cole sits in a tie for third place in projected WAR for 2023:

This shouldn’t be particularly surprising. He’s produced the ninth-most WAR among pitchers in the past two years, the ninth-most in the past three years, the third-most in the past four years, the third-most in the past five years… the point is, he’s consistently been one of the best in the game. While 2022 represented a down year, his overall body of work remains excellent.

What’s more, his 2022 swoon seems exaggerated to me. It represented his worst ERA since his Pittsburgh days, but luckily we have multiple statistics to describe pitching performance. I like to take a mosaic approach, looking at as many as I can and taking a rough average, and if you think of it that way, Cole’s 2022 looks pretty dang good. Read the rest of this entry »

Read the rest of this entry »

For the past few weeks, I’ve been delving into exit velocity readings in an attempt to find out what really matters and what’s just noise. I found that 95th-percentile exit velocity and contact rate are the two stickiest metrics from one year to the next, with exit velocity slightly more likely to remain the same from one year to the next.

Of course, that doesn’t mean it can’t change. In fact, players change their top-end power readings by a good amount every year. Sure, any individual player might be unlikely to do it, but there are tons of players in baseball. I found that only 4% of hitters change their 95th-percentile exit velocity (EV95) by one standard deviation from one year to the next, but 408 batters put at least 100 batted balls into play in 2022. Four percent of 408 is a lot more than zero.

With that in mind, I thought I’d take an inventory of those exit velocity changers and see what their improvement meant going forward. To do so, I created two groups: hitters whose EV95 improved by at least half a standard deviation from one year to the next, and the opposite, hitters whose EV95 declined by at least half a standard deviation. I picked half an SD instead of an entire one to bulk up the sample size. Read the rest of this entry »