The Los Angeles Angels can’t count clubhouse chemistry as the primary reason they entered Memorial Day weekend with the third most wins in the American League. Marquee players such as Mike Trout, Shohei Ohtani, and Anthony Rendon — not to mention Patrick Sandoval and Taylor Ward — bear a far larger responsibility for the club’s success. Which doesn’t mean that intangibles haven’t mattered. In the opinion of Angels GM Perry Minasian, they’ve actually mattered a lot.

Asked about his approach for building a winning team, Minasian responded with a rhetorical: “Do we have enough time for this?” The 42-year-old baseball lifer then proceeded to champion the value of non-quantifiable characteristics.

“Philosophically, we’re not only trying to get talented players,” Minasian told me when the Angels visited Fenway Park earlier this month. “We’re trying to get the right DNA, the right mix of guys from a makeup standpoint. That’s really important to me. Growing up around the game — I’ve been fortunate to spend a lot of time in big-league clubhouses — I really believe in mix and fit. It’s hard to quantify, but I think it has a huge impact. The room makes a big difference.”

So too does on-field talent. Identifying it — ditto projecting it — will always be an integral part of a general manager’s job. Minasian knows that as well as anyone. Read the rest of this entry »

Position: Data Quality Engineer – Detroit Tigers (Detroit · MI)

Job Summary:
The Detroit Tigers are currently seeking a Data Quality Engineer, Baseball Data Infrastructure. This role will be responsible for designing, managing, and automating data quality processes across our disparate data sources to support Baseball Operations initiatives. This position will report to the Director, Baseball Data Infrastructure.

Key Responsibilities:

• Design, implement, and use data quality assurance frameworks to support the process of identifying inconsistent data patterns.
• Work with Tigers data engineers and data scientists to implement good data hygiene practices and procedures in our data pipelines.
• Work with external data vendors to triage and remedy data quality issues.
• Automate and execute test cases in data pipelines and manage data issue tracking.

Minimum Knowledge, Skills & Abilities:

• 2+ years of relevant work experience in data analysis and engineering using SQL and Python
• Knowledgeable with data strategies and practices, such as continuous integration, regression testing, and versioning.
• Experience querying SQL data warehouses built for data science and analytics.
• Familiarity with cloud computing, cloud storage, and cloud services.
• Understanding of data quality frameworks and best practices for implementation.
• Passion for baseball and familiarity with current baseball research.

Preferred Knowledge, Skills & Abilities:

• Strong SQL skills (T-SQL preferred).
• Effective communication skills with an ability to explain technical concepts to developers and business partners.
• Experience using Apache Spark (Databricks on Azure preferred).
• Experience in generating reports and visuals on large data sources.
• Experience with DevOps practices for CI\CD pipelines.
• Familiarity with open-source data quality frameworks (Great Expectations preferred).
• Familiarity with Airflow.

Working Conditions:

• Office environment.
• The location may be based in Detroit or fully remote.
• Occasional evening, weekend, and holiday hours may be required.

The above is intended to describe the essential job functions, the general supplemental functions, and the essential requirements for the performance of this job. It is not to be construed as an exhaustive statement of all additional duties, responsibilities, or nonessential requirements. Detroit Tigers, Inc. has the right to change, modify, suspend, interrupt, or cancel in whole or in part any job functions outlined in a job description at any time and without advance notice to the employee.

To Apply:
To apply, please follow this link.

The content in this posting was created and provided solely by the Detroit Tigers.

The Detroit Tigers entered this season with plenty of reason to be hopeful for a shift in the franchise’s fortunes. After a stretch of four straight playoff appearances from 2011–14, they entered a long rebuilding phase that included an ugly, 114-loss season in ‘19. Last year, they showed real signs of progress; after winning just eight games in April, they went 69-66 through the rest of the season and graduated a bunch of their top pitching prospects into the majors. They had an aggressive offseason, signing Javier Báez and Eduardo Rodriguez and trading for Austin Meadows, and were set to debut their top position player prospects, too.

Things haven’t gone according to plan so far. The Tigers currently have the worst record in the American League and a big reason why is the disappointing performances of their young starting pitchers. Both Casey Mize and Matt Manning have been sidelined with injuries, and Beau Brieske and Joey Wentz have stumbled through tough big league debuts:

It’s far too early to make definitive statements about any of these young pitchers, but their struggles have definitely put a damper on the Tigers’ aim to break out of their rebuilding cycle this year. If there’s one reason for fans in Detroit to be encouraged, though, it’s the early season success of Tarik Skubal. Read the rest of this entry »

I just returned from a 10-day trip to Florida that began in the Tampa area, progressed through the southwest part of the state, and ended in Jupiter and West Palm Beach. During the trip, I saw a mix of extended spring training, Florida State League and amateur baseball, though there were times when I passed on the latter in order to see more games. For instance, the first morning I woke up in the Tampa area I could have headed north to Gainesville for part of the University of Tennessee at Florida series, but that would have meant driving five hours round trip and giving up an extended/FSL double up on at least one of those days, and probably two of them.

Instead I stayed in town and saw five games during my first three days away. I spent my first morning at Blue Jays extended spring training watching them play the Tigers. While a few guys from Detroit’s extended group are mentioned on the Tigers prospect list (the younger Wilmer Fenelon, Iverson Leonardo, J.D. McLaughlin), the lone new player who I’d like to call attention to is switch-hitting SS/3B Abel Bastidas, who won’t turn 19 until November. Bastidas has a well-composed 6-foot-2 frame, and he showed some pretty advanced pitch recognition in just a few at-bats, making a mid-flight adjustment to a couple of offspeed pitches, showing at least average bat speed, and laying down average run times. I didn’t see enough defensively to have a real opinion about Bastidas’ ability to play shortstop, but this is a well-rounded, projectable, switch-hitting infielder who everyone should be keyed-in on during the extended/Complex League period.

Eric Pardinho started the game for Toronto and sat 90-91 mph with below-average secondary stuff. It’s nice that he’s healthy and pitching but it’s fine to move on from considering him a prospect at this point. Similarly (I’m getting the bad news out of the way here), I left Florida highly skeptical of shortstop Manuel Beltre, who signed with Toronto for $2.35 million in 2021. Lauded for his drive and grit, there isn’t much in the way of tools here. Read the rest of this entry »

Mike Trout is climbing up the WAR leaderboards; nature is healing. Still, it’s probably best to remember that we’re in the season’s early going. Eric Hosmer is batting .415! Meanwhile, Yuli Gurriel is batting .203. Some players have been unbelievably hot, others have been mysteriously cold — these extremes tend to balance out by season’s end. Players usually remain who they are, despite the memorable breakouts.

That principle also extends to changes in a player’s approach, pitch mix, or swing mechanics. Often, those eager to better themselves will start the season with a completely different look. Reality tends to get in the way, though. Sometimes injuries happen, or old habits prove hard to shake. Many players won’t see their changes through a year’s worth of trouble. It’s just the nature of things.

With that in mind, let’s talk about Austin Meadows. He’s a Detroit Tiger now, having arrived from St. Petersburg in a trade only his former team would dare to orchestrate. And he’s off to a pretty good start, with his .304/.418/.411 line translating to a 154 wRC+ in an offensively challenged season. It’s not so surprising, since Meadows has proven himself many times to be a great hitter. What is worth noting is how he’s arrived at that mark. In a few ways, Meadows looks like a different hitter than the one he was a year or two ago. So if you’re willing, I’d like to highlight some interesting (warning: subjective) things that have defined his productive April. I’ll present them in three parts. Read the rest of this entry »

Miguel Cabrera had to wait a couple of extra days to make history, thanks to a hitless afternoon capped by a controversial managerial decision and then a rainout. Nonetheless, on Saturday afternoon he collected his 3,000th career hit with a single off the Rockies’ Antonio Senzatela. In doing so, he joined some elite company as not only the 33rd player to reach 3,000 hits, but also the seventh to do so as a member of the 500-homer club and the third to reach both of those round numbers with a career batting average of .300 or better. The other two? Hank Aaron and Willie Mays. You may have heard of them, and even if you don’t put much stock in batting average, you have to admit that’s about as cool as company gets.

What’s more, Cabrera actually owns the highest batting average and on-base percentage of the seven players who have both milestones, with a wRC+ that trails only Mays and Aaron:

For all of his struggles over the past half-decade, Cabrera would still have to go 0-for-352 to drop his batting average to .299. Even with those struggles and his lack of defensive value (he’s 102 runs below average in terms of Defensive Runs Saved, inlcluding 11 below in just 847.1 innings at first base since 2018), he ranks 11th in JAWS among first basemen (68.8/44.8/56.8), in no danger of slipping below Palmeiro (13th at 71.9/38.9/55.4) or Murray (16th at 68.7/39.2/53.9). And while he may be the last to reach 3,000 hits for some time given the dearth of candidates (Dan Szymborski put Jose Altuve, who has 1,783 hits, at 34% and Freddie Freeman, who has 1,723 hits, at 28% last September), he’s hardly the least. Read the rest of this entry »

As you may already know, I’m something of an intentional walk connoisseur here at FanGraphs. When questionable ones occur, particularly in the playoffs, I like to delve into the specifics to figure out which ones are good decisions, which ones are close calls, and which ones are just plain silly.

Earlier this week, I wrote about Joe Maddon’s bases-loaded intentional walk, which was about as far on the silly end of the spectrum as you can get. Today, I’m going to cover the other notable intentional walk of the week: the Yankees giving Miguel Cabrera a free pass on Thursday. Then, as a bonus, I want to talk about Cardinals manager Oli Marmol and a clever thing he did that might escape notice if you aren’t watching closely.
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 »

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 »

Stephen Ridings strikes an imposing figure on the mound. He also misses a lot of bats. Straddling the rubber at 6-foot-8, 225 pounds, the 26-year-old right-handed reliever is coming off a season where he recorded 42 strikeouts in 29 minor-league innings, and another seven in a five-inning cup of coffee with the New York Yankees. Moreover, he allowed just 20 hits and six walks in the 34 cumulative frames.

Drafted out of Division-III Haverford College by the Chicago Cubs in 2016 — the Yankees are his third organization — Ridings comes out of the bullpen with an attack-dog mindset.

“Right now, I’m the guy that wants to blow doors off,” explained Ridings, whom New York signed in January 2021 after he was released by the Kansas City Royals. “I’m trying to strike out as many guys as humanly possible.”

The 18% swinging strike rate that Eric Longenhagen noted when writing up Ridings for our 2022 Yankees Top Prospect list — the righty is No. 21 in those rankings — comes courtesy of three-pitch mix. A heater that sits mid-to-high 90s and tops out in triple digits is his bread-and-butter, and a slider he began throwing in spring training of last year is his best secondary. A knuckle-curve rounds out his repertoire. Read the rest of this entry »