The following article is part of Jay Jaffe’s ongoing look at the candidates on the BBWAA 2023 Hall of Fame ballot. Originally written for the 2016 election at SI.com, it has been updated to reflect recent voting results as well as additional research. For a detailed introduction to this year’s ballot, and other candidates in the series, use the tool above; an introduction to JAWS can be found here. For a tentative schedule, and a chance to fill out a Hall of Fame ballot for our crowdsourcing project, see here. All WAR figures refer to the Baseball-Reference version unless otherwise indicated.

Billy Wagner was the ultimate underdog. Undersized and from both a broken home and an impoverished rural background, he channeled his frustrations into throwing incredibly hard — with his left hand, despite being a natural righty, for he broke his right arm twice as a child. Scouts overlooked him because he wasn’t anywhere close to six feet tall, but they couldn’t disregard his dominance over collegiate hitters using a mid-90s fastball. The Astros made him a first-round pick, and once he was converted to a relief role, his velocity went even higher.

Thanks to outstanding lower-body strength, coordination, and extraordinary range of motion, the 5-foot-10 Wagner was able to reach 100 mph with consistency — 159 times in 2003, according to The Bill James Handbook. Using a hard slider learned from teammate Brad Lidge, he kept blowing the ball by hitters into his late 30s to such an extent that he owns the record for the highest strikeout rate of any pitcher with at least 800 innings. He was still dominant when he walked away from the game following the 2010 season, fresh off posting a career-best ERA. Read the rest of this entry »

Computer Vision Analyst, Baseball Analytics

Location: Citi Field – Queens, New York
Status: Full time

Summary:
The New York Mets are seeking a Computer Vision Analyst in the Baseball Analytics Department. The Analyst will contribute to multiple areas of Baseball Operations, working closely with the Data Science group with a focus on Computer Vision- and Machine Learning-related projects. All candidates must demonstrate strong educational background and/or work experience in computer vision or related analytics fields, but prior experience in or knowledge of baseball is not required.

Essential Duties & Responsibilities:

• Drive the development of computer vision systems to create new datasets that support the needs of various departments within Baseball Operations
• Build statistical models to analyze data derived from CV processes
• Advise other analysts on projects that could benefit from machine learning expertise
• Interpret data and report conclusions drawn from their analyses
• Present model outputs in an effective way, both for technical and non-technical audiences
• Evaluate and recommend new or emerging modeling techniques and baseball technologies
• Communicate well with both the Director of Baseball Analytics and other Baseball Operations personnel to understand the parameters of any particular research project

Qualifications:

• BS, Masters, or PhD in Computer Science, Statistics, or a related field
• Experience in computer vision, image and video analysis, statistical modeling, and machine learning
• Strong proficiency in R, Python, or similar, as well as strong proficiency in SQL
• Basic knowledge of data engineering and front-end development is a plus, for the purpose of communicating with those departments
• Strong communication skills
• Ability to work cooperatively with others, and to take control of large-scale projects with little or no daily oversight
• Prior experience in or knowledge of baseball is a plus, but is not required

The above information is intended to describe the general nature, type, and level of work to be performed. The information is not intended to be an exhaustive or complete list of all responsibilities, duties, and skills required for this position. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. The individual selected may perform other related duties as assigned or requested.

The New York Mets recognize the importance of a diverse workforce and value the unique qualities individuals of various backgrounds and experiences can offer to the Organization. Our continued success depends heavily on the quality of our workforce. The Organization is committed to providing employees with the opportunity to develop to their fullest potential.

Salary Range:
$97,416.11 – $129,888.15

To Apply:
To apply, please follow this link.

The content in this posting was created and provided solely by the New York Mets.

The following article is part of Jay Jaffe’s ongoing look at the candidates on the BBWAA 2023 Hall of Fame ballot. Originally written for the 2014 election at SI.com, it has been updated to reflect recent voting results as well as additional research. For a detailed introduction to this year’s ballot, and other candidates in the series, use the tool above; an introduction to JAWS can be found here. For a tentative schedule, and a chance to fill out a Hall of Fame ballot for our crowdsourcing project, see here. All WAR figures refer to the Baseball-Reference version unless otherwise indicated.

Jeff Kent took a long time to find a home. Drafted by the Blue Jays in 1989, he passed through the hands of three teams that didn’t quite realize the value of what they had. Not until a trade to the Giants in November 1996 — prior to his age-29 season — did he really settle in. Once he did, he established himself as a standout complement to Barry Bonds, helping the Giants become perennial contenders and spending more than a decade as a middle-of-the-lineup force.

Despite his late-arriving stardom and a prickly personality that sometimes rubbed teammates and media the wrong way, Kent earned All-Star honors five times, won an MVP award, and helped four different franchises reach the playoffs a total of seven times. His resumé gives him a claim as the best-hitting second baseman of the post-1960 expansion era — not an iron-clad one, but not one that’s easily dismissed. For starters, he holds the all-time record for most home runs by a second baseman with 351. That’s 74 more than Ryne Sandberg, 85 more than Joe Morgan, and 86 more than Rogers Hornsby — all Hall of Famers, and in Hornsby’s case, one from before the expansion era (note that I’m not counting homers hit while playing other positions). Among players with at least 7,000 plate appearances in their career who spent at least half their time at second base, only Hornsby (.577) has a higher slugging percentage than Kent’s .500. From that latter set, only Hornsby (1.010) and another pre-expansion Hall of Famer, Charlie Gehringer (.884), have a higher OPS than Kent (.855). Read the rest of this entry »

Tuesday’s 40-man roster deadline led to the usual squall of transaction activity, with teams turning over portions of their rosters in an effort to make room for the incoming crop of young rookies. Often, teams with an overflow of viable big leaguers will try to get back what they can for some of those players via trade, but because we’re talking about guys straddling the line between major league viability and Triple-A, those trades tend not to be big enough to warrant an entire post. Over the next few days, I’ll endeavor to cover and analyze the moves made by each team, division by division. Readers can view this as the start of list season, as the players covered in this miniseries tend to be prospects who will get big league time in the next year. I’ll spend more time discussing players who I think need scouting updates or who I haven’t written about in the past. If you want additional detail on some of the more famous names you find below, pop over to The Board for a more thorough report.

The Future Value grades littered throughout these posts may be different than those on the 2022 in-season prospect lists on The Board to reflect my updated opinions, and may be subject to change during the offseason. New to my thinking on this subject and wondering what the FVs mean? Here’s a quick rundown. Note that because we’re talking about close-to-the-majors prospects across this entire exercise, the time and risk component is less present here and these FVs are what I think the players are right now. Read the rest of this entry »

One of this winter’s top free agents crossed himself off the list over the weekend, as Edwin Díaz signed a five-year, $102 million contract to remain the Mets’ closer. Díaz was absolutely dominant this season, striking out nearly two batters an inning, resulting in a FIP under 1.00, and avoiding any of the walk or home run flurries that occasionally have marred his résumé. While I’m not particularly a fan of the save stat or the conclusions drawn as a result, him only blowing three saves in 2022 accurately reflects his dominance; he only allowed multiple runs in a single appearance all year, and all three of his blown saves occurred with one-run leads. The deal comes with a $12 million signing bonus, a team option at $20 million for a sixth season, a no-trade provision, and an opt-out after 2025.

Star closer Edwin Díaz and the New York Mets are in agreement on a five-year, $102 million contract, pending physical, sources familiar with the deal tell ESPN. There’s an opt-out and a full no-trade clause, plus a sixth-year option. The best closer in baseball stays in New York.

— Jeff Passan (@JeffPassan) November 6, 2022

Generally speaking, when a pitcher has a microscopic ERA, there’s some measure of luck involved; nobody’s long-term baseline expectation is an ERA of 1.31. So it naturally amuses me that Díaz arguably underperformed his peripherals this season. How often does a pitcher with an ERA that excellent actually have a FIP nearly half a run lower? Not very.

Going back to the start of 1901, there have been only 35 player-seasons in which a pitcher had an ERA under 2.00 and had a FIP lower than their ERA (out of 796 possible player-seasons). Only Gagne and Kimbrel had lower ERAs in seasons during which they failed to match their FIP; the average FIP for a pitcher with an ERA between 1.01 and 1.51 is 2.30. Read the rest of this entry »

Director, Performance Technology

Location: Citi Field – Queens, New York
Status: Full time

Summary:
The New York Mets are seeking a Director, Performance Technology to lead the team responsible for driving the Baseball Operations Department’s use of technology to improve decision making and outcomes across player performance and health, player evaluation, and player development. The Performance Technology Director will oversee the sports science and biomechanics functions within Baseball Operations and will work closely with personnel in Baseball Analytics, Baseball Systems, Data Engineering, and High Performance on the development of models, tools, interfaces, and programming necessary to generate and present insights to players and staff in a highly actionable format. The Performance Technology Director will also collaborate with leaders across all functions within Baseball Operations to successfully develop and implement value-adding technology solutions within those areas. The ideal candidate has worked in a senior sports science or biomechanics role working with elite athletes and possesses extensive experience in evaluating, developing, and implementing technology solutions in that space.

Essential Duties & Responsibilities:

• Partner with senior leadership to shape the roadmap for the Performance Technology Department and own its execution
• Oversee the construction and operation of performance labs at the Mets’ Florida complex and at Citi Field
• Hire and manage a team that will operate lab environments and conduct data capture and research
• Oversee the department’s efforts in sports science and biomechanics, optimizing athlete performance and availability through technology and research-driven methods
• Work with analysts and engineers on the development of models, tools, and software designed to generate actionable insights and convey them effectively to players and staff  
• Work closely with leadership across Baseball Operations to improve systems and processes by identifying problems and developing and implementing technology-driven solutions
• Ensure the organization has a high awareness of the performance technology landscape and, through a strong process for vetting and testing technology, that it is well-positioned to be an early adopter of high-value technology
• Manage the department’s budget and make investment recommendations to senior leadership
• Collaborate with Point72’s Technology Innovation team on the identification and evaluation of emerging technologies with potential applications to baseball
• Contribute to and help foster a culture of innovation throughout all of Baseball Operations

Qualifications:

• PhD in Biomechanics, Biomedical Engineering, Kinesiology or other related disciplines or equivalent experience
• Experience leading and managing a team
• Experience working with athletes in an elite athletic environment (baseball-specific experience is a plus)
• 8+ years relevant professional experience
• Deep knowledge of the performance technology space, including, but not limited to, marker-based and marker less motion capture, wearables, and sensors
• Experience with research design and conducting scientific research
• Ability to work cooperatively with others, and to take control of large-scale projects with little or no daily oversight
• Strong written and verbal communication skills
• Experience with front-end development and product management is a plus
• Proficiency in R, Python, or other statistical computing languages is a plus
• Experience with algorithm development and AI/ML and computer vision-based solutions is a plus
• Experience working for a technology company on technology for athletic performance is a plus

The above information is intended to describe the general nature, type, and level of work to be performed. The information is not intended to be an exhaustive or complete list of all responsibilities, duties, and skills required for this position. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. The individual selected may perform other related duties as assigned or requested.

The New York Mets recognize the importance of a diverse workforce and value the unique qualities individuals of various backgrounds and experiences can offer to the Organization. Our continued success depends heavily on the quality of our workforce. The Organization is committed to providing employees with the opportunity to develop to their fullest potential.

To Apply:
To apply, please follow this link.

The content in this posting was created and provided solely by the New York Mets.

There are plenty of ways to win a ballgame. Some teams like to get ‘em on, get ‘em over, and get ‘em in. Some go for pitching, defense, and a three-run homer. One fairly reliable method is to absolutely obliterate the baseball all night long while your pitcher nearly throws a perfect game. On Sunday night, the Padres opted for that approach.

San Diego’s batters crushed everything the Mets could throw at them, while Joe Musgrove allowed no runs, one hit, and one walk over seven shutout innings. He also allowed one person to get very intimate with his ears, but we’ll get to that later.

Coming into the game, much of the talk was about Mets starter Chris Bassitt, who was riding high after posting a 2.94 ERA in the second half of the season. Some predicted that Bassitt’s curveball, which Stuff+ ranked as the best pitch in the game this year, could decide the game, as the Padres usually feast on curves. Instead, it was Bassitt’s fastball that ended up being the issue. Read the rest of this entry »

Coming into last night’s win-or-go-home game for the Mets, the biggest question concerned ace Jacob deGrom. In his last four starts of the season, he tossed 21 innings with an incredible 39-to-4 strikeout to walk ratio, but when he got hit, he got hit hard. He allowed 14 runs in those starts, mostly coming off of six home runs allowed, including three in his last start against Atlanta that ended up deciding the division. Perhaps more importantly, deGrom had averaged just 21.7 batters faced in the regular season, with abysmal results when facing the order a third time. While he looked like normal Jacob deGrom through his first 18 batters of any given start, he allowed a .936 OPS his third time through the lineup, with five homers in 42 plate appearances. What would the Mets do with deGrom if the game entered the later innings in a close situation?

Perhaps unsurprisingly, this exact situation occurred. After setting down the first seven batters in order while touching 101.8 mph on his fastball, Trent Grisham took a triple-digit heater on the outer edge deep into center field for a homer. But deGrom wasn’t out of the inning yet. He allowed Jurickson Profar and Juan Soto to reach base with two outs, but struck out Manny Machado on a perfect slider to escape the jam. deGrom got through the fourth inning unscathed, but it was clear that he didn’t have the near-robotic command that led him to historic success in 2021, especially on his slider. He spiked a few of them, and threw many more off the plate in noncompetitive locations.

Those command issues came into play as deGrom began the fifth inning by walking Grisham on five pitches, three of them sliders low and inside. After a successful sacrifice by Austin Nola, deGrom had to face the Padres’ lineup for the third time. Profar, the Padres leadoff hitter, saw four sliders in the same place before a fifth leaked out over the middle of the plate and singled, driving in the Padres’ second run of the game. The next batter, Soto, lined a 2-0 changeup down the pipe into right field for his second hit of the game. With runners on the corners and just one out in a tie game, deGrom was in a tight spot. But he kicked it back into gear after that. Four consecutive sliders perfectly located on the low and outside corner resulted in three swinging strikes from Machado, and deGrom ended the threat with a 99.4 mph fastball that got Josh Bell whiffing, his hardest-thrown pitch of the inning. Read the rest of this entry »

You bring in star pitchers for games like this. Cost? That’s for the accountants. You can’t put a price on a lockdown playoff start, the kind that sucks the air out of the opposing offense one out at a time. Bring in an ace, find your way to the playoffs, and the dominance will flow.

Oh, this is awkward. Did you think I was talking about Max Scherzer? I meant Yu Darvish, who the Padres acquired before the 2021 season in a blockbuster trade. Darvish didn’t harness his usual swing-and-miss stuff Friday night, but he’s spent the entire 2022 season learning how to succeed without it. He’s never run a lower strikeout rate or missed fewer bats, but it hasn’t mattered: He’s having his best season in eight years thanks to a raft of soft contact and no walks to speak of.

Darvish has been a cutter-first pitcher for years, and he leaned into it to the tune of 39 cutters in 101 pitches against the Mets. It’s still Yu Darvish we’re talking about, so he threw six different pitch types, but cutters and four-seamers comprised 65% of his offerings. Add in his slider, and the count climbs to 90%. We think of Darvish as overpowering opposing hitters, but he’s become adept at keeping them off balance, with equally offense-suppressing results. The Mets were eternally in a 1-2 count, eternally popping up pitches they were just too early or too late on. Read the rest of this entry »

There isn’t a lot to ponder for most teams when it comes to Wild Card starters. The Padres should start their best three starters. So should the Phillies, Guardians, Blue Jays, Mariners, and Padres. That leaves the Rays, Mets, and Cardinals as teams that have decisions to make, at least in my estimation. The Rays — well, let’s just say that if the Rays called up a sentient ham sandwich to start in the playoffs, we analysts would dig into Ham Sandwichson’s minor league numbers and try to figure out what they saw. There’s no predicting Tampa Bay. That just leaves the Mets and Cardinals.

New York Mets

Wait, the Mets? They have Max Scherzer and Jacob deGrom, backed by Chris Bassitt and Carlos Carrasco. They’ve already announced Scherzer for the first game; can’t they just run out deGrom and then Bassitt (or Carrasco) in case of a deciding game? Sure, they could. But they should — and probably will — get fancy by holding deGrom back, something I expect them to do should they win the first game of the series.

This doesn’t sound like a good plan offhand. Leave the best starter on the planet behind Bassitt, a man whose fastball can best be described as “adequate,” in a game where you could end the series with a win? That sounds too cute by half for a franchise eternally stepping on rakes. Read the rest of this entry »