On Tuesday, ESPN’s Buster Olney reported that Major League Baseball is expected to allow players to use wearable signal devices to call pitches this season. Later in the day, the Associated Press reported that the league did indeed approve the use of such devices and sent a five-page memorandum to teams’ general managers, assistant GMs, managers and equipment managers outlining the rules regarding such devices. Known as the PitchCom system, the devices were tested in the minors last season and have made their way around the majors during this year’s spring training, drawing glowing reviews. Aimed at improving the pace of play and countering sign stealing — by both legal and illegal means — their adoption addresses two issues that have been hot-buttons in recent years and have resurfaced this spring. In that light, the league could be doing more to reassure the public that it’s on top of potential abuses of the system.

Created by a company called ProMystic that provides modular technology to mentalists and magicians (!), the PitchCom system consists of a push-button transmitter that fits into a wristband worn by the catcher, and receivers that fit into the padding of the catcher’s helmet and the sweatbands of the caps worn by the pitcher and other fielders. In the transmitter’s nine-button grid, each button corresponds to a given pitch type as well as a location, the latter akin to the familiar three-by-three strike zone grid. From the AP report: “four seam high inside, curve hi middle, slider hi outside, change mid inside, sinker middle, cutter mid out, splitter low inside, knuckle lo middle, two seam low outside.” The other three buttons to the left of the grid are to cancel the selection and to adjust the volume up or down.

Through an encrypted signal, the choice of pitch and location is conveyed, with an audio output that uses a proprietary variant of bone-conduction technology (bypassing the ear canal) and has preprogrammed English and Spanish options, though players can record their own audio. Olney reported that as many as three teammates besides the battery will be allowed to wear receivers so as to aid defensive positioning; generally those will be the middle infielders and the center fielder. Read the rest of this entry »

The plight of the Los Angeles Angels is well known by now. Despite employing two generational talents in Mike Trout and Shohei Ohtani, they’ve made the playoffs just once in the last 12 seasons. Even worse, they’ve had a winning record in just four of those 12 seasons, and haven’t finished above .500 since going 85-77 in 2015. It’s not for lack of trying either. They’ve signed plenty of big name free agents to massive contracts to try and get them over the hump. Those efforts haven’t paid off yet, however, and the latest veteran to get kicked to the curb before hitting free agency is Justin Upton, who was designated for assignment on Sunday with a year left on his contract.

Since 2011, the Angels have signed four free agents to contracts that are five years or longer, with four additional extensions of similar length. The track record for those signings has been pretty ghastly:

C.J. Wilson, Josh Hamilton, Albert Pujols, and Upton didn’t finish out their contract term with the Angels, while the jury is still out on Rendon; Mike Trout’s deals can comfortably be scored wins. Injuries cut Wilson’s career short while a combination of injury and off-field issues led the Angels to trade Hamilton just two years into his huge contract. Pujols’s production in Anaheim was a shadow of his career-defining tenure in St. Louis, though he did manage some late season magic for the Dodgers last year. He’ll finish out his career where it started. By signing all of these players to large, long-term contracts, the Angels were doing exactly what you’d expect them to do in their position: spend to supplement their established stars. Its unfortunate, then, that the majority of these contracts didn’t pan out, particularly when pitching remained such a consistent need. Read the rest of this entry »

It arrived stressfully, chaotically, and slightly late, but the 2022 season is here. And that means it’s time for one last important sabermetric ritual: the final ZiPS projected standings that will surely come back and haunt me multiple times as the season progresses.

The methodology I’m using here isn’t identical to the one we use in our Projected Standings, so there will naturally be some important differences in the results. So how does ZiPS calculate the season? Stored within ZiPS are the first through 99th percentile projections for each player. I start by making a generalized depth chart, using our Depth Charts as an initial starting point. Since these are my curated projections, I make changes based on my personal feelings about who will receive playing time, as filtered by arbitrary whimsy my logic and reasoning. ZiPS then generates a million versions of each team in Monte Carlo fashion — the computational algorithms, that is (no one is dressing up in a tuxedo and playing baccarat like James Bond).

After that is done, ZiPS applies another set of algorithms with a generalized distribution of injury risk, which change the baseline PAs/IPs selected for each player. Of note is that higher-percentile projections already have more playing time than lower-percentile projections before this step. ZiPS then automatically “fills in” playing time from the next players on the list (proportionally) to get to a full slate of plate appearances and innings.

The result is a million different rosters for each team and an associated winning percentage for each of those million teams. After applying the new strength of schedule calculations based on the other 29 teams, I end up with the standings for each of the million seasons. This is actually much less complex than it sounds. Read the rest of this entry »

Earlier this offseason, we released our team expected win totals and playoff odds for the 2022 season. These are based upon the FanGraphs Depth Charts, which use a 50/50 blend of ZiPS and Steamer and our manually maintained playing time estimates. To arrive at the playoff odds, we then simulate the upcoming season 20,000 times, taking strength of schedule into account. (You can learn more about the FanGraphs playoff odds here.)

For the second straight year, we’ve also run the same process using the Average Total Cost (ATC) Projections as our base.

The ATC Projections have been available on the pages of FanGraphs since 2017. ATC is smart aggregation of other projections; its methodology is based on the process that Nate Silver uses with his political forecasting model over at FiveThirtyEight. Read the rest of this entry »

Bailey Falter is unique. As erstwhile FanGraphs scribe Devan Fink explained when he wrote about the 24-year-old Philadelphia Phillies left-hander last summer, Falter features a 92-mph fastball that is, for all intents and purposes, a 95-mph fastball. The effective velocity comes courtesy of extreme extension. A 6-foot-4, 195-pound native of Chino Hills, California, Falter has a delivery that puts him seven-plus feet off the mound when he releases the baseball.

Projected to be a valuable part of the Phillies bullpen this year — some evaluators feel he’ll ultimately secure a spot in the starting rotation — Falter is coming off of a rookie campaign where he logged a 5.61 ERA and a 3.79 FIP over 33.2 innings. He’s been impressive this spring; with the caveat that Grapefruit League performances need to be taken with a large grain of salt, the southpaw has been sharp, allowing just five baserunners in seven innings.

Falter discussed his delivery, and the repertoire that comes with it, following a recent game in Clearwater.

———

David Laurila: You’re known primarily for your delivery, particularly the amount of extension you get. Have you always thrown that way?

Bailey Falter: “Yes. I’ve had the same delivery and extension ever since I can remember. Honestly. I had a pitching coach back home, when I was growing up, named Steve Lefebvre. He tried to tweak me up a little bit — kind of shorten me up — because I was a guy that was never going to light up a radar gun, and we thought it could possibly be due to me having such a long stride. I ended up throwing the same speed.” Read the rest of this entry »

Over the past week and a half, we’ve published our annual season preview, ranking the league’s players by position and team based on a blend of our projections (a 50/50 split between ZiPS and Steamer) and our manually maintained playing time estimates courtesy of Jason Martinez. If you happen to have missed any of those installments, you can use the navigation widget above to catch up.

Today, I’m going to summarize the results. We’ll look at some tables and pick out a few interesting tidbits in a moment, but first, it’s important to remember that this exercise captures a snapshot of how we project teams to perform now. Teams aren’t static. Since we’ve published our rankings, Austin Meadows, AJ Pollock, Reese McGuire, and Zack Collins have been traded. The Mets’ starting pitcher situation continues to deteriorate. A number of top prospects, including Spencer Torkelson, Julio Rodríguez, and Bobby Witt Jr., officially made their respective teams’ Opening Day rosters, but Oneil Cruz was sent down to Triple-A to game his service time get reps in left field.

This being baseball, players will tweak elbows and hamstrings, lose playing time to underperformance, and get traded for prospects. That’s why we maintain a Team WAR Totals page, which lists projected positional WAR by team and updates regularly throughout the season as we learn more about who is likely to take the field every day and what shape they’ll be in when they do. It’s important to note that the WAR numbers you see there may vary from what you see on the positional power rankings, mostly because those figures are aware of the injuries and transactions that have altered our playing time estimates since the rankings went live; the Z-Scores I’ll include later also use the WAR from the Team WAR Totals page. Read the rest of this entry »

Ben Lindbergh, Meg Rowley, and Sports Illustrated writer Emma Baccellieri banter about the contrast between March Madness and early-season baseball, the Rays-Tigers trade involving Austin Meadows and Isaac Paredes, and the challenge of evaluating Rays transactions in general, then complete the 2022 division preview series by setting the stage for the season in the National League East, team by team.

Audio intro: The Boo Radleys, “One Last Hurrah”
Audio outro: Night Shop, “Let Me Begin”

Link to Emma on South Carolina’s championship
Link to Ben Clemens on the Rays trade
Link to Rays tweet about the Lowes
Link to Sam’s tweet about the Rays
Link to FanGraphs playoff odds
Link to post about Albies and switch-hitting
Link to Scherzer photo
Link to Jayson Stark on the Phillies’ defense
Link to Matt Gelb on the Phillies’ spending
Link to ESPN on Soto’s brother
Link to Ben on Soto

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Frankie Montas was a late scratch from his Saturday start and instead, on Sunday, threw in an early-morning sim game on Oakland’s backfields. Opposing scouts in attendance were from (in totality) Boston, Kansas City, Minnesota, and Tampa Bay.

Montas threw about 80 pitches, warming up and then working in eight-to-ten minute chunks against A’s big league hitters, with staff adding batters to the end of some innings and rolling others to stay within that window (which is commonplace in this setting). Then the whole group took a break for four or five minutes before Montas returned to the mound for another simulated inning. With no umpires, the A’s used the TrackMan pitch locations to call balls and strikes from their seating area behind the backstop; the unit began malfunctioning at the very end of his outing, but only for four pitches.

I have video of his entire outing below, and in addition to it being a topical scouting artifact given trade rumors around Montas, it is also a glimpse into big league minutiae in a quiet setting with just a few scouts, A’s staff, and player families around. You can often hear communication between A’s players and personnel around pitch type and velocity, but there’s no exposure of sensitive ops stuff, something I vetted while cutting this together.

Montas’ fastball ranged from 92–95 mph, but he was consistently pumping in a heavy 93–94 sinker. He was clearly coasting, as a big league vet of this stature should during a morning sim game, so the fact that this velo band is abnormally low for him — his fastball averaged 96 in 2021 and had been sitting close to that so far this spring — is fine. The pitch had big sinking action toward the bottom of the zone early during his outing and induced several ground balls, though hitters had an easier time elevating it later on. As the movement on his fastball dwindled throughout his outing, the length and movement of his upper-80s slider increased, and he found more consistent feel for locating it later in the sim game. At times he uses it like a bat-breaking cutter, at others as a finishing pitch out of the zone. Though it was his least consistent offering, many of his sliders were plus. Read the rest of this entry »

In a normal baseball offseason, all the trades would have already happened. Front offices have all season to call each other up with a million permutations of deals, and the deals they make spawn other deals, and player injuries spawn other deals, and free-agent signings lead to surpluses or needs, and… well, you get the idea. Trading flurries happen in December, and during spring training, and teams work out their rosters that way.

With a compressed offseason thanks to the lockout, the timeline has gotten all mixed up. Now, trades are happening three days before opening day. It’s madness! And speaking of:

Tigers Get

• Austin Meadows

Rays Get

• Isaac Paredes
• Competitive Balance Round B Pick

This trade was announced last night, and I’m writing about it this morning, and so rather than write a block of text about one side’s return and then a block of text about the other, I’m going to try a slightly different framing tool: I’ll walk you through a few levels of how I’ve thought about this deal. It’s an interesting one, no doubt, as trades involving the Rays so often are. Let’s get started!
Read the rest of this entry »

It arrived stressfully, chaotically, and slightly late, but the 2022 season is here. And that means it’s time for one last important sabermetric ritual: the final ZiPS projected standings that will surely come back and haunt me multiple times as the season progresses.

The methodology I’m using here isn’t identical to the one we use in our Projected Standings, so there will naturally be some important differences in the results. So how does ZiPS calculate the season? Stored within ZiPS are the first through 99th percentile projections for each player. I start by making a generalized depth chart, using our Depth Charts as an initial starting point. Since these are my curated projections, I make changes based on my personal feelings about who will receive playing time, as filtered by arbitrary whimsy my logic and reasoning. ZiPS then generates a million versions of each team in Monte Carlo fashion — the computational algorithms, that is (no one is dressing up in a tuxedo and playing baccarat like James Bond).

After that is done, ZiPS applies another set of algorithms with a generalized distribution of injury risk, which change the baseline PAs/IPs selected for each player. Of note is that higher-percentile projections already have more playing time than lower-percentile projections before this step. ZiPS then automatically “fills in” playing time from the next players on the list (proportionally) to get to a full slate of plate appearances and innings.

The result is a million different rosters for each team and an associated winning percentage for each of those million teams. After applying the new strength of schedule calculations based on the other 29 teams, I end up with the standings for each of the million seasons. This is actually much less complex than it sounds. Read the rest of this entry »