Archive for Teams

Postseason Manager Report Cards: Joe Espada and Chad Tracy

Troy Taormina and Jerome Miron-Imagn Images

Over the weekend, I graded the managerial performances of the two National League managers eliminated in the Wild Card round. Now, it’s on to the American League. Both Joe Espada’s Astros and Chad Tracy’s Red Sox lasted just two games in the playoffs and didn’t even make it to October, but each still had plenty of decisions to make in their 18 innings at the postseason helm.

I went over this in the NL rundown, but I’ll say again that like Ben Clemens, who originated this series, I care about process and not results here. It’s easy to say “that was a great move because it worked” or “that was a bad move because it failed,” but managers obviously can’t know the result of their decision as they’re making it. I’ve tried my best to transport myself back to the moment of each decision — taking into account the pitches, innings, and plate appearances that led up to it — while ignoring the outcomes.

Before we begin, I’ll also reiterate that while these are ostensibly manager report cards, there’s a much larger group of people behind the manager that helps to inform his decisions. Before the game, that includes discussions with the front office, which provides the reams of data that every manager has at his disposal during play; in-game, he’s getting feedback from his coaching staff and players on their levels of health and readiness. It really does take a village to get through a baseball game, and realistically, the praise and scorn doesn’t belong to the manager alone.

Let’s get into it.

Joe Espada

Batting: Incomplete

None of the managers who lost in the Wild Card round made fewer changes than Espada, who pinch-hit just once in two losses to the White Sox. That one substitution worked brilliantly, with righty Nelson Velázquez hitting for lefty Taylor Trammell against southpaw Sean Newcomb and promptly homering to give the Astros their first two runs of Game 1. That was a no-brainer of a decision for a team that needed runs; Velázquez had an 88 wRC+ against lefties this year to Trammell’s horrendous 12.

Espada’s ability to go to his bench was hamstrung in Game 2, as right knee soreness incurred in Game 1 limited Isaac Paredes to DH duty and forced Nick Allen into the starting lineup at third base. Letting Allen hit in the fifth inning down by a run with a runner on first and one out was understandable. Using a bat like Trammell or Joey Loperfido would have forced Raynel Delgado into the game at third, and no matter the leverage of the situation, Espada would have had to pinch-hit for him when his spot came up, with no backup infielders left at that point.

The overall lack of offensive mixing-and-matching from Espada was more of a roster construction problem than a manager issue, as was the club’s batting order. Espada’s lineup created a pocket of righties from spots three through six, with Yordan Alvarez batting second as the only hard-hitting lefty to plan around. Still, he really couldn’t have put his lineup together any better given the cards he was dealt.

Pitching: C+

When grading the Wild Card managers, I’ve tried to be sympathetic to those without much to work with, and that was absolutely the case for Espada and his pitching staff. I wouldn’t wish a Game 1 bullpen game on a manager even if he was my worst enemy, and especially not one with Houston’s pitching staff. And given that the Astros clinched on the last day of the season, they couldn’t have lined the pitching up any differently, either. But while a bullpen game was necessary, starting the game with AJ Blubaugh on the mound wasn’t.

Blubaugh, who led all relievers in innings pitched this year with 96, was an unsung hero for the Astros during the regular season. But his 2026 was marked more by quantity than quality; his 3.66 ERA outpaced his 4.25 xERA and 4.31 FIP, and he limped to the finish line with 10 runs allowed in his last 10 appearances. Fellow righty Miguel Ullola finished his season stronger and could have provided length similar to the best version of Blubaugh (as he showed later in the game). Or, given the White Sox’s penchant for aggressive in-game platooning, going with a lefty like Josh Hendrickson, Bennett Sousa, or Bryan King may well have forced White Sox manager Will Venable into aggressively substituting once a lefty was out of the game. That might have led to Randal Grichuk starting the game with the platoon advantage and then being pinch-hit for as soon as Espada brought in a righty. Once that happened, Espada would have had a clearer lane of lefty bats to manage against, allowing him to use a second lefty pitcher like Hendrickson, Sousa, or King. Venable may well have countered with someone like Tommy Pham, but getting Grichuk’s lefty-mashing bat out of the game after a single plate appearance would’ve been a big win.

Espada managed from behind for the rest of the game, and once Blubaugh exited, all of his decisions were logical but came too late for the offense to recover. King ended up with a logical pocket of four lefties in six batters before turning the ball over to Ullola, who was a godsend, providing length without Espada having to worry about left-right matchups. Once Ullola was done, it was the standard manager playbook of alternating lefties and righties to play matchups, before giving the ball to his highest-leverage arms in Bryan Abreu and Josh Hader in the eighth and ninth. Houston was down by four runs when Abreu entered and by three runs when Hader came in, but in a best-of-three series, chasing a Game 1 win by using your best arms is what I would have done, too.

Game 2 could not have started more disastrously, with the Astros’ best starter, Hunter Brown, unable to make it out of the first inning. While he was let down by his defense and didn’t pitch quite as badly as his line would suggest, I understand Espada’s urgency in pulling the plug and making it a second straight bullpen game. But Blubaugh again being the first reliever out of the ‘pen was puzzling, and my evaluation doesn’t care that it happened to work out. This was another chance for Espada to bring in a southpaw against a lineup with five lefties in its first six spots, and yet Blubaugh was called upon to face Sam Antonacci and the top of the White Sox lineup for the second time in two days. Doubling down by sending Blubaugh back out for the second was equally perplexing, especially with Peter Lambert available for length.

After the second inning, however, I thought Espada redeemed himself with a near-perfect set of moves given his personnel. Lambert was the best arm available for the middle frames, and with very few trusted arms on staff, I’m giving his manager a pass for allowing him to face more than nine hitters. Batters 10 and 11 drawing walks made it Bryan Abreu time in the sixth with nobody out, again the appropriate move given that the Astros were down by one at the time and it was a must-win game. Abreu is no stranger to coming in and cleaning up messes, and while Chase Meidroth took him deep, he carved through eight outs thereafter before turning the ball over to Hader for four outs.

After Meidroth homered, the Astros trailed by four for the remainder of the game, and knowing that the Astros would need Hader for a third straight game if they miraculously pulled off a Game 2 comeback, I think Espada struck the right balance between getting Hader into the game and being cognizant that he’d need his closer the next day. With the benefit of hindsight, that exposes the danger of chasing a comeback by using Hader in Game 1 — and I certainly wouldn’t have liked using him in that game if the Astros were down four or five — but as I’ve mentioned repeatedly during these report cards, the manager can’t know the future. The best chance of pulling out win in a Game 1 that was still within striking distance comes by using Hader in the ninth, and the same is true for a Game 2 comeback.

Chad Tracy

Batting: Incomplete

Tracy entered the Wild Card Series with his healthiest and most complete offense of the season, and he lined things up about as well as you can against a tough customer like Cam Schlittler in Game 1. The Yankees used two righties in relief of Schlittler, and the only move Tracy made was to pinch-hit Andruw Monasterio for the injured Roman Anthony in the sixth, with Schlittler still in the game.

Anthony was removed from the roster prior to Game 2 due to his hand injury, and the combination of that and a tough opposing lefty in Max Fried led to a very different lineup for Boston, though one that I also didn’t have any problems with. Tracy’s one pinch-hit move of the night was playing the platoon game by swapping Nate Eaton out for Jarren Duran against Will Warren in the eighth. There weren’t many moves, hence the incomplete, but the ones he made were good.

Pitching: C

Out of the eight grades I’ve given to the managers eliminated in the Wild Card round, this was the toughest one to sort out. In a nutshell, I loved what Tracy did with his starting pitchers and strongly disliked which relievers he chose to deploy when.

Payton Tolle faced 19 batters in his Game 1 start, and was presumably allowed to face Paul Goldschmidt for a third time because Tracy would’ve rather had that matchup than likely pinch-hitter Luis García Jr. against a righty pitcher. That allowed Tracy to deploy lefty Erik Miller against Ben Rice… which immediately backfired, as Rice homered. Still, I have no problem with that choice. Rice was worse against lefties this year, and while Miller struggled in September, I understand going with the big stuff against Rice’s big swing. The bullpen arms used after Miller, though, represented baffling choice after baffling choice.

Still down just two runs, Tracy used lower-leverage arms Greg Weissert and Alec Gamboa, with Gamboa, Wyatt Olds and Brayan Bello allowing the Yankees to blow the game wide open on their way to a 9-0 drubbing. In a postgame exchange with the Boston Globe’s Tim Healey, Tracy defended using the pitchers he did — thereby lowering his win probability for that game compared to using better arms like Garrett Whitlock or Aroldis Chapman — as being a consequence of an offense that was, in his estimation, unlikely to come back no matter who pitched.

While I understand taking the long view of potentially needing to play three games in three days, if you aren’t going to chase a win down two runs with Schlittler soon to come out of the game, when are you going to chase a win? A manager can only manage the game in front of him, and for all Tracy knew, the Red Sox could end up winning Game 2 without needing Whitlock or Chapman anyway.

Game 2 ended up having a similar inflection point, with starter Sonny Gray pulled after just 70 pitches and 19 batters. That led to quite the anti-analytics firestorm on social media, but here in my corner of the internet, removing Gray was a clear-cut decision. I don’t care about Gray’s third-time-through-the-order performance being really good this season; he was bad in that scenario last year, and the third-time-through penalty is always going to exist to at least some extent. Gray had also allowed four of the last eight batters to reach and was clearly losing effectiveness. But giving Cody Bellinger another look at Miller a day after the lefty’s own ineffectiveness wasn’t ideal; unless Garrett Crochet was completely uncomfortable coming in with runners on base, I’d have preferred him in that scenario.

Instead, Crochet came in to start the following inning and the game went sideways from there. Spencer Jones reached on a strikeout-wild pitch and the inning spiraled thereafter, and while it wasn’t all Crochet’s fault, his performance all but assured a loss. Tracy then proved my earlier point about not knowing what the next day’s game will hold by using Whitlock down two runs with the bases loaded in the sixth and Chapman down seven runs in the eighth. Using Whitlock there was a coherent attempt to keep the game close, while Chapman was a “well, we need a miracle” pitching change. Had the Red Sox used Chapman and Whitlock to chase a win in Game 1 and ultimately won, Chapman never would’ve pitched down seven runs in Game 2, since Game 3 would be on the horizon. In sum: Yes, it matters when there’s a game tomorrow, but tomorrow’s game can go any which way. If you’re only down a couple runs and have a rested leverage arm, use him.


The Power of the Curve

Brad Penner-Imagn Images

Cam Schlittler threw the Red Sox a curveball in Game 1 of the AL Wild Card Series. Well, actually, he threw them a lot of curveballs — 32, to be exact.

In the Yankees’ resounding 9-0 win over their archrivals last week at Yankee Stadium, the 25-year-old flamethrower went 6 1/3 scoreless innings, giving up just two hits and one walk while striking out 10 and throwing a career-high 117 pitches. Except for the pitch count, his final line reflects the same dominance we’ve seen repeatedly throughout a 2026 season in which Schlittler went 14-6 with a 1.95 ERA, a 2.56 FIP, and 6.2 WAR across 193 2/3 innings. The difference this time was how he got there, and it poses a new challenge for opposing batters when he starts against the Rays in Game 2 of the ALDS on Monday night at Tropicana Field.

Schlittler turned to the curveball early and often, utterly baffling a Boston lineup that was geared up for his signature three-fastball repertoire. Instead, they got a heavy dose of the hook and couldn’t handle it. In Game 1, he threw his curveball 27.4% of the time. The Red Sox swung at 16 of the 32 curves they saw from Schlittler, whiffing on eight of them, fouling off six, and putting two in play; the first of those two fair balls was a softly hit lineout to shortstop in the fifth inning, while the second came when Wilyer Abreu lined the right-hander’s last pitch of the game to right field for a single. Four of Schlittler’s 10 strikeout pitches were curveballs, all during his first time through the order. Read the rest of this entry »


Job Posting: New York Mets – Multiple Openings

Direct links to applications (please see job details below):

Data Scientist
Intern, Data Science
Associate Analyst, Baseball Analytics: Integration
Associate Hitting Analyst, Baseball Analytics
Associate, Video & Technology (International Scouting)
Senior Data Scientist, Baseball Analytics


Data Scientist

Location: Citi Field – Queens, New York

Summary:

The New York Mets are seeking a Data Scientist in Baseball Analytics. The Data Scientist will build, test, and present statistical models that inform decision-making in all facets of Baseball Operations. This position requires strong background in complex statistics and data analytics, as well as the ability to communicate statistical model details and findings to both a technical and non-technical audience. Prior experience in or knowledge of baseball is a plus, but is not required.

Essential Duties & Responsibilities:

  • Build statistical models to answer a wide variety of baseball-related questions affecting the operations of the organization using advanced knowledge of statistics and data analytics and exercising appropriate discretion and judgment regarding development of statistical models
  • Interpret data and report conclusions drawn from their analyses
  • Present model outputs in an effective way, both for technical and non-technical audiences
  • Communicate well with both the Baseball Analytics team as well as other Baseball Operations personnel to understand the parameters of any particular research project
  • Provide advice on the desired outputs from the data engineering team, and guidance to the Baseball Systems team on how best to present model results
  • Evaluate potential new data sources and technologies to determine their validity and usefulness
  • Consistently analyze research in analytics that can help improve the modeling work done by the Baseball Analytics department

Qualifications & Requirements:

  • Masters and/or BS degree in statistics or a related field
  • Professional experience in a quantitative position is a plus
  • Strong background in a wide variety of statistical techniques
  • 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

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 value the unique qualities individuals with various backgrounds and experiences can offer 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: $80,000 – $100,000

For technical reasons, we strongly advise to not use an .edu email address when applying. Thank you very much.

To Apply
To apply, please follow this link.


Intern, Data Science

Location: Citi Field – Queens, New York

Summary:

The New York Mets are seeking an intern in our Baseball Analytics Department for the summer of 2027. During the summer, the Intern will build, test, and present statistical models to inform the decision-making of our Baseball Operations department. This position requires strong background in complex statistics and data analytics, as well as the ability to communicate statistical model details and findings to both a technical and non-technical audience. Prior experience in or knowledge of baseball is a plus, but is not required.

Essential Duties & Responsibilities:

  • Build statistical models to answer a wide variety of baseball-related questions affecting the operations of the organization using advanced knowledge of statistics and data analytics and exercising appropriate discretion and judgment regarding development of statistical models
  • Interpret data and report conclusions drawn from their analyses
  • Present model outputs in an effective way, both for technical and non-technical audiences
  • Communicate well with both the Baseball Analytics team as well as other Baseball Operations personnel to understand the parameters of any particular research project

Qualifications:

  • Pursuing a degree in statistics or a related field
  • Professional experience in a quantitative position is a plus
  • Strong background in a wide variety of statistical techniques
  • Strong proficiency in R or Python
  • Strong communication skills
  • Ability to work cooperatively with others

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.

Pay Range: $20.00 – $25.00/hour

For technical reasons, we strongly advise to not use an .edu email address when applying. Thank you very much.

To Apply
To apply, please follow this link.


Associate Analyst, Baseball Analytics: Integration

Location: Citi Field – Queens, New York

Summary:

The New York Mets are seeking an Associate Analyst to join the Baseball Analytics: Integration team. In this role, you will help Baseball Operations answer the wide range of questions that arise throughout the year, taking on fast-moving projects that touch many areas of the organization. This is an opportunity to apply quantitative skills to meaningful baseball decisions, gain broad exposure to how a Major League organization operates, and work closely with colleagues across a variety of functions.

Essential Duties & Responsibilities:

  • Translate questions from across Baseball Operations into clear research and analytical approaches
  • Retrieve, combine, clean, and validate data from internal databases and relevant public sources
  • Conduct timely research and analysis across multiple concurrent, short-term projects, using statistical methods or modeling when appropriate
  • Communicate findings through concise, easy-to-understand reports, visualizations, and messages
  • Collaborate with Data Engineering and Systems teams to turn analytical work into reliable, accessible data and tools for use across Baseball Operations
  • Maintain clear, reproducible code and documentation, and develop reusable processes for recurring analytical needs

Qualifications:

  • Bachelor’s degree in a quantitative field, or equivalent experience
  • Experience using R, Python, or a similar analytical programming language
  • Proficiency in SQL, including joining, filtering, aggregating, and validating data
  • Strong analytical and problem-solving skills
  • Attention to detail, particularly when reviewing data and analytical outputs
  • Ability to organize work, manage competing priorities, and meet deadlines
  • Strong verbal and written communication skills

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 value the unique qualities individuals with various backgrounds and experiences can offer 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.

Pay Range: $22.00 – $25.00/hour

For technical reasons, we strongly advise to not use an .edu email address when applying. Thank you very much.

To Apply
To apply, please follow this link.


Associate Hitting Analyst, Baseball Analytics

Location: Citi Field – Queens, New York

Summary:

The Associate Hitting Analyst will develop high-impact analytical tools and systems that advance hitting evaluation and drive optimization and improvement strategies across internal player development and external player acquisition. This individual will lead research, monitor performance trends, and collaborate across departments to uncover actionable opportunities that deepen organizational hitting knowledge and strengthen decision-making in both the acquisition and development spaces of Baseball Operations.

Essential Duties & Responsibilities:

  • Analyze new data sources and their potential to explain performance
  • Communicate research to on-field staff and Player Development leadership, translating complex concepts into clear recommendations
  • Transform internal data and model results into actionable information that enhances both in-game and player performance strategy
  • Collaborate with Biomechanics and Performance teams to analyze players’ physical capabilities
  • Systematically identify internal and external players with room for improvement
  • Work with Data Science team to understand how players’ capacity to improve impacts their value
  • Perform research that explains how players are able to express skills on the field
  • Expand the organization’s understanding of how players can improve relative to expectations

Qualifications & Requirements:

  • Creativity and curiosity regarding the game of baseball
  • Statistical modeling experience. Experience in Biomechanics is a plus
  • Knowledge of baseball technology, including but not limited to KinaTrax, Blast Motion, Hawk-Eye, and force plates
  • Ability to collaborate and work within and across teams
  • Strong verbal and written communication skills
  • Demonstrated ability to manage multiple projects simultaneously and execute tasks under time constraints
  • Interest in public baseball research
  • Experience in R, Python, or similar programming languages, and proficiency in SQL
  • Must be able to work unconventional hours and travel

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 value the unique qualities individuals with various backgrounds and experiences can offer 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.

Pay Range: $22.00 – $25.00/hour

For technical reasons, we strongly advise to not use an .edu email address when applying. Thank you very much.

To Apply
To apply, please follow this link.


Associate, Video & Technology (International Scouting)

Location: New York Mets Complex – Dominican Republic

Summary:

The Associate, Video & Technology (International Scouting) will execute the day-to-day on field video capture, data collection, and technology operations across international amateur showcases, partner programs, and academy tryouts in the Dominican Republic. This individual will serve as the field-level technical hub for the international scouting department—operating portable tracking hardware, capturing standardized scouting video, organizing and tagging digital assets, and syncing data with internal platforms.

Operating in a high-stakes, fast-moving evaluation environment, this role demands absolute confidentiality, meticulous attention to detail, operational problem-solving in challenging outdoor field environments, and proactive collaboration with area scouts, international crosscheckers, and front-office decision-makers.

Essential Duties & Responsibilities:

  • Field Technology Operations: Set up, calibrate, operate, and troubleshoot portable ball-tracking and bat-tracking technology (e.g., TrackMan Portable, Blast Motion, portable force plates, high-speed cameras) at amateur showcases, private workouts, and academy games
  • Scouting Video Capture & Ingestion: Film hitters, pitchers, and defensive drills adhering strictly to organizational filming standards. Accurately tag, trim, log, and ingest video into internal proprietary athlete management databases on daily turnaround times
  • Data Quality Control & Reporting: Maintain meticulous quality control over captured data feeds. Making sure the tagged information is accurate before submitting it to the internal platform
  • Territory Coverage & Scouting Logistics: Travel across key Dominican scouting circuits (e.g., San Cristóbal, Boca Chica, San Pedro de Macorís, Santiago, Baní, and Santo Domingo), coordinating directly with the DR Video Tech Coordinator along with the DR Scouting Supervisor and Area Scouts to align technical coverage on a daily basis
  • Technology Asset Management: Clean, charge, pack, transport, and maintain all mobile hardware, tablets, cameras, tripods, and other tech, ensuring zero downtime during showcases and events
  • Cross-Departmental Collaboration: Assist visiting international crosscheckers, analytical evaluators, and scouting executives by providing real-time data feeds
  • International Travel Support: As needed, deploy to international scouting assignments outside the Dominican Republic to support tournament coverage and data intake

Requirements:

  • Driver’s License & Reliable Transportation: Valid Dominican driver’s license, a clean driving record, and daily access to an insured, reliable vehicle capable of transporting equipment across varying road conditions throughout the island
  • Travel & Schedule Flexibility: Willingness and capability to travel extensively across the Dominican Republic, with readiness to travel abroad. Ability to work unconventional hours, including early mornings, weekends and late hours as needed according to the workload
  • Technical Savvy & Computer Proficiency: Proficiency with Microsoft Excel, general PC operating systems, tech saavy experience to handle distinct software
  • Baseball Technology Familiarity: Demonstrated working knowledge of baseball tracking technology (TrackMan, Hawk-Eye, FlightScope, Blast Motion, Rapsodo, or related optical/radar systems) and high-frame-rate sports cameras
  • Bilingual Communication: Professional proficiency in both Spanish and English (spoken and written), enabling seamless coordination between Latin American trainers/players and US-based front oAice personnel
  • Discretion & Confidentiality: Absolute integrity and commitment to organizational secrecy regarding prospect evaluations, proprietary metrics, acquisition targets, and internal strategy
  • Physical Demands: Ability to carry 40–50 lbs of hardware/tripods and stand outdoors in high-heat and humid conditions for extended periods

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 value the unique qualities individuals with various backgrounds and experiences can offer 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.

For technical reasons, we strongly advise to not use an .edu email address when applying. Thank you very much.

To Apply
To apply, please follow this link.


Senior Data Scientist, Baseball Analytics

Location: Citi Field – Queens, New York

Summary:

The New York Mets are seeking a Senior Data Scientist in Baseball Analytics. The Senior Data Scientist will build, test, and present statistical models that inform decision-making in all facets of Baseball Operations. This position requires strong background in complex statistics and data analytics, as well as the ability to communicate statistical model details and findings to both a technical and non-technical audience. Prior experience in or knowledge of baseball is a plus, but is not required.

Essential Duties & Responsibilities:

  • Build statistical models to answer a wide variety of baseball-related questions affecting the operations of the organization using advanced knowledge of statistics and data analytics and exercising appropriate discretion and judgment regarding development of statistical models

  • Interpret data and report conclusions drawn from their analyses

  • Present model outputs in an effective way, both for technical and non-technical audiences

  • Communicate well with both the Baseball Analytics team as well as other Baseball Operations personnel to understand the parameters of any particular research project

  • Provide advice on the desired outputs from the data engineering team, and guidance to the Baseball Systems team on how best to present model results

  • Assist with recruiting, hiring, and mentoring new analysts in the Baseball Analytics department

  • Evaluate potential new data sources and technologies to determine their validity and usefulness

  • Consistently analyze recent research in analytics that can help improve the modeling work done by the Baseball Analytics department

Qualifications:

  • Ph.D. in statistics or a related field, or equivalent professional experience

  • Strong background in a wide variety of statistical techniques

  • 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

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: $120,000 – $150,000

For technical reasons, we strongly advise to not use an .edu email address when applying. Thank you very much.

To Apply
To apply, please follow this link.

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


Braves Break Serve Against the Dodgers, Head to Atlanta With 1-1 NLDS Tie

Kiyoshi Mio-Imagn Images

Heading into Game 2 of the NLDS, much of the talk was of the mismatch in pitching rotations between the Dodgers and the Braves, and whether Atlanta’s bullpen could continue to cover up for a rotation held together with rubber bands and duct tape. Yet, in the end, it was the Dodgers who ended up burning the most relievers, and the denouement was only in doubt because the Braves missed a few opportunities to blow the game, a 3-2 win, wide open.

The most-talked-about pitching decision was probably the one made before the game started: Going with a third consecutive bullpen game rather than starting ace Chris Sale in Game 2. It’s a decision that Walt Weiss clearly doesn’t regret, at least not when speaking in public. He told reporters:

“We had a conversation this morning. Look, at the end of the day, we want full-strength Chris Sale. I know him at 80 percent is really good, but that’s what it came down to. We’ve given him extra rest all year, and it’s served him very well. It allowed him to do what he did the other night, I think all the extra rest he’d gotten. He’d be on normal rest from his last start, but he had the outing in between. Not sure you’re getting the best version of him pitching today. We’re certain he will pitch in Game 3.

Read the rest of this entry »


Jackson Chourio Does It Again: Brewers Come Back to Win Game 2

Michael McLoone-Imagn Images

They opened the roof. That’s the first thing you need to know about Game 2 of the NLDS between the Milwaukee Brewers and the San Diego Padres. Nobody had to worry about knocking the ball off a girder or a wire or a catwalk or a dangling chain of sausage links hanging from the ceiling. More importantly, nobody had to worry about the damn thing blowing off in the bottom of the ninth, when Jackson Chourio, one strike away from defeat, turned around a 101-mph Mason Miller fastball for a game-winning, two-RBI single. Against the most formidable reliever in baseball, after trailing since the fourth batter of the game, the Brewers turned water into, well, beer, beating the Padres 4-3 to take a 2-0 lead in the series. It marked the first time in more than a month that the Padres have lost two games in a row.

American Family Field presents quite a beautiful backdrop when it’s open to the sky and full of natural light. It feels vibrant and alive. It’s also not the friendliest place for hitters, who get to shift their worries from the roof to the shadows. The 3:09 PM local start time meant that when Logan Henderson threw the first pitch of the game, his shadow, already much longer than his six-foot-tall frame, stretched all the way across the mound and onto the infield grass toward third base. It twitched and wriggled as he went into his delivery, as if it believed this might be its chance to escape once and for all.

No player was more grateful for the open sky than Ty France, who on Saturday night experienced an even more unfriendly side of American Family Field. As you surely know by now, France flew out to deep left field by way of a ricochet off something or other up there by the roof. There’s some debate as to whether that ball would have both cleared the fence and stayed fair, but regardless, France certainly played like a man with a score to settle. He went 2-for-3 with two RBI singles and a hit-by-pitch, pushing his batting average this postseason to a respectable .487. Read the rest of this entry »


The Brewers and Padres Made the Entire Game Out of High-Leverage Innings

Michael McLoone-Imagn Images

The Brewers earned a 3-2 victory over the Padres in Game 1 of the NLDS on Saturday. With this year’s presumptive Cy Young winner starting for the Brewers and a former Cy Young winner (and still an above-average starter) going for the Padres, a low-scoring affair was not a surprising outcome. Still, the game script didn’t exactly play out as anticipated. Instead, the contest took on a late-inning feel almost from the beginning, and with both emotions and the leverage index consistently running high, perhaps the best way to tell the story of Game 1 is via reactions sourced from one of the most emotive players in either dugout — Milwaukee outfielder Sal Frelick.

The Frelick shown above was struggling to process an unusual double play that he initiated during last year’s NLCS, but that confused sentiment also applies to the experience of watching Brewers starter Jacob Misiorowski allow three consecutive singles during the second inning on Saturday. In over half of Misiorowski’s 30 starts this season, he allowed three or fewer hits across the entire outing, making three hits over three plate appearances feel fairly baffling. The trouble began with a one-out, infield single off the bat of shortstop Xander Bogaerts. The hit was the culmination of a six-pitch skirmish. Bogaerts took the first four pitches he saw (two four-seamers were called balls, while another four-seamer and a cutter were called strikes). He fouled off a 2-2 fastball, then rolled over a slider for a groundball that forced shortstop Cooper Pratt to range far enough to his right that by the time he made the diving stop, he couldn’t get the throw to first in time to beat Bogaerts to the bag.

Though Misiorowski got the type of batted ball that pitchers are usually pleased with, the whole interaction with Bogaerts highlighted a burgeoning problem for the Milwaukee righty. For the flamethrower’s fastball to function, he needs hitters to swing through it, and relatedly, he needs hitters to be willing to offer at it, even when it’s a touch out of the zone. On the season, his four-seamer averaged a 40.2% whiff rate and a 34.3% chase rate. But on Saturday night, it was generating whiffs only 14.3% of the time and getting hitters to chase just 24.1% of the time. Bogaerts was content to watch three heaters from The Miz and then fouled off the fourth. Since the San Diego batters were often fouling off fastballs in the zone and laying off the pitch when it missed the zone, Misiorowski pivoted to his 96-mph cutter as a pitch he could more reliably throw in the zone for called strikes in order to counter the obnoxiously patient Padres. Read the rest of this entry »


Sunday Notes: A Burdened Backstop No More, Ike Irish Aims to Bash in Baltimore

Ike Irish is among the more intriguing prospects currently playing in the Arizona Fall League — and not just because of a promising bat that produced a .286/.388/.528 slash line with 15 home runs and a 135 wRC+ over 343 plate appearances with High-A Frederick. Ranked seventh in the Baltimore Orioles system with a 45 FV, the 23-year-old outfielder/first baseman got a new lease on life when he moved out from behind the dish.

The story behind Irish’s positional change isn’t as simple as his not possessing the requisite skills to one day catch at the highest level. He had already begun transitioning by the time the Orioles drafted him 19th overall in 2025 out of Auburn University, and one of the reasons was an issue that is clinically defined as a psycho-neuromuscular impediment affecting the execution of fine motor skills during sport performance.

More on that in moment.

“It was always in the back of my head,” said Irish, who is in the AFL partly to make up at-bats lost due to a torn meniscus suffered in late July. “In college, we had conversations after my sophomore year: Is catching what we really want to do? At the end of the day, I believe in my bat, and I didn’t really believe in my defense. I want my bat to perform, so I think the decision for me was a no-brainer. I play this game because I love to hit.”

It reached the point where he hated to catch. Struggling to master mechanical intricacies played a part, but as he went on to explain, it wasn’t the main reason. Read the rest of this entry »


Drew Rasmussen Does Very Rude Things to the Yankees in ALDS Game 1

Pablo Robles-Imagn Images

Generally picked to win the AL East before the 2026 season, the New York Yankees spent the final four months of the season looking up at the Tampa Bay Rays in the standings. If the Bombers were hoping to avenge their second-place finish in their Division Series matchup with their AL East foe, they got off to a poor start on Saturday evening, losing 1-0 in a game that felt more lopsided than the one-run margin would suggest. Taking a no-hitter into the eighth inning, Drew Rasmussen dominated the Yankees, with his bid for history only spoiled by an Austin Wells two-out double that the New York catcher unsuccessfully tried to stretch into a triple. Bryan Baker quickly dispatched the Yankees in the ninth to give the Rays a 1-0 series lead to match the final score.

In a game without much in the way of offense, Rasmussen was the biggest story. Unfazed by a New York lineup that consisted almost entirely of lefties — not entirely surprising as Rasmussen has shown no platoon differential over his major league career — he freely mixed his four pitches, with the Yankees not having an answer for any of them. Rasmussen struck out 10 batters over eight innings and still cruised enough that, if the Rays’ cushion had been larger, he may very well have been sent out for the complete game in the ninth.

As playoff starts go, Rasmussen’s stands out not just as a pretty darn good start, but one that was good enough to rank with the best in recent history. Bill James’ Game Score is useful for this kind of thing, and Rasmussen’s Game Score of 88 is tied for the 15th-best playoff start of the Wild Card era (1995-present). Among games of the last decade, only Blake Snell’s 2025 NLCS Game 1 start ranks higher. Snell’s performance featured a final line that was nearly identical to Rasmussen’s (8 IP, 1 H, 0 ER, 10 K, but no walks).

Best Postseason Bill James Game Scores, 1995-2026
Rank Pitcher Game Score Series Game Date
1 Roger Clemens 98 ALCS 4 10/14/2000
2 Tim Lincecum 96 NLDS 1 10/7/2010
3 Roy Halladay 94 NLDS 1 10/6/2010
4 Josh Beckett 93 NLCS 5 10/12/2003
5 Kevin Brown 92 NLDS 1 9/29/1998
6-T Randy Johnson 91 WS 2 10/28/2001
6-T Randy Johnson 91 NLCS 1 10/16/2001
8-T Blake Snell 90 NLCS 1 10/13/2025
8-T Cliff Lee 90 ALCS 3 10/18/2010
8-T Livan Hernandez 90 NLCS 5 10/12/1997
11-T Justin Verlander 89 ALDS 5 10/11/2012
11-T Curt Schilling 89 NLDS 1 10/9/2001
11-T Kevin Millwood 89 NLDS 2 10/6/1999
11-T Kevin Brown 89 NLCS 2 10/8/1998
15-T Drew Rasmussen 88 ALDS 1 10/3/2026
15-T Clayton Kershaw 88 NLWC 2 10/1/2020
15-T Jake Arrieta 88 NLWC 1 10/7/2015
15-T Madison Bumgarner 88 NLWC 1 10/1/2014
15-T Mike Hampton 88 NLCS 5 10/16/2000
15-T Bobby Jones 88 NLDS 4 10/8/2000
15-T Mike Mussina 88 ALCS 6 10/15/1997
21-T Trevor Bauer 87 NLWC 1 9/30/2020
21-T Madison Bumgarner 87 WS 5 10/26/2014
21-T Justin Verlander 87 ALDS 5 10/10/2013
21-T Josh Beckett 87 ALDS 1 10/3/2007
21-T Roger Clemens 87 WS 2 10/22/2000
21-T John Smoltz 87 NLDS 3 10/3/1997
Source: Baseball Reference and some addition

It certainly wasn’t passivity that caused the Yankees to fail against Rasmussen. It’s well known that the Yankees are a low-contact team, with the fourth-lowest contact rate in baseball in 2026, and ahead of only the White Sox among playoff clubs. But they also weren’t as selective as usual with their swings against Rasmussen, chasing 37% of his out-of-zone pitches, including 69% of the changeups. For the game, the Yankees had a 43.1% whiff rate, their second-worst number in 2026, and the 24th worst out of the 3,082 games they’ve played since the start of the 2008 season.

There were, of course, a few productive moments in a night of offensive woes. George Lombard Jr. hit a couple of scorchers where they could be easily caught by outfielders, and I’d argue that both could very well have been home runs if his swing had connected with the ball a whisper of an instant earlier. Jazz Chisholm Jr. worked a nine-pitch walk, though it turned out to be moot; the Yankees left him at first and the additional pitches had no noticeable impact on Rasmussen, who never seemed to tire. He was throwing as hard in the eighth as he was in the first. Behind the plate, Wells nailed two ABS challenges in the first inning, including a strike three on the teensiest edge of the strike zone to Chandler Simpson that ended the first with the Rays stranding two runners.

Meanwhile, the Yankees’ excellent pitching staff was about as good as advertised. Gerrit Cole pitched well in his first postseason start since 2024; he just didn’t quite match Rasmussen’s dominance. His game plan was a heavy dose of fastballs and knuckle-curves, and after the first inning, the Rays weren’t particularly successful at stringing hits together. Cole’s lone blemish came with one out in the third inning, when Jonathan Aranda barreled up a thigh-high changeup on the outside edge of the plate for a home run.

As the night went, it was almost fitting that New York’s sole bit of offense, a Wells double, was also arguably the team’s worst moment. In the eighth, with two out, Wells rocketed a Rasmussen sinker down and in and right in his wheelhouse into the right field corner, the hardest hit of the night at 107.8 mph. The hit not only broke Rasmussen’s no-hitter; it also broke the hearts of Yankee fans, as Wells decided that with two outs, he was going to try and leg out the triple. Suffice it to say, the guy who looks like a no-nonsense police captain on a 1970s TV show did not successfully channel Rickey Henderson. Any reasonable relay would’ve nailed Wells at third, and the one from right fielder Victor Mesa Jr. to shortstop Taylor Walls to third baseman Junior Caminero proved to be more than reasonable.

Baker came out in the ninth, whiffed pinch-hitter Giancarlo Stanton in his first plate appearance since April, froze Ben Rice on a changeup, and got Cody Bellinger to ground out to end the game. Part of me wonders whether Rays manager Kevin Cash was secretly relieved that Rasmussen’s no-hitter was broken up, as letting a pitcher try to finish a no-hitter in a 1-0 game is a whole lot scarier than in an 8-0 laugher.

It may not be remembered in light of Rasmussen’s performance, but after Mesa’s single in the fourth inning, Cole and three relievers (Ryan Weathers, Paul Blackburn, Brent Headrick) held the Rays hitless for the rest of the game, preventing any inconvenient insurance runs from scoring. Those insurance runs were not needed.

If there’s any silver lining, it’s that this was the game in the best-of-five series that ZiPS projected the Yankees to have the lowest probability of winning. I believe Cole is a future Hall of Famer, but at this point of his career, I think he’s no better than the fourth-best starting pitcher in the New York rotation. Losing any game in a short series is bad, of course, but it’s less impactful on the Yankees’ chances of advancing than if the Rays had spoiled a Cam Schlittler start. It would be dangerous to count the Yankees out, but the Rays simply looked like the better team in the opening battle.


Skubal Shoves, Teoscar Slugs: Dodgers Out-Homer Braves in NLDS Game 1

Jayne Kamin-Oncea-Imagn Images

Remember that brief period of time when Tarik Skubal didn’t look like Tarik Skubal? In June, in his first three starts after returning from tiny-needle surgery, Skubal went 0-2 with a 4.96 ERA and a 5.86 FIP. He struck out as many batters as ever, but he just kept giving up home runs, and everyone whispered to their neighbors with alarm, “Maybe the needle wasn’t as tiny as we thought it was. Is it possible that it was just a regular needle with a good publicist?” Well, that period of time was shorter than you might remember. It was, in fact, just 12 days long. Over his final 16 starts, Skubal regained his form. He went 9-3 with a 2.36 ERA and a 2.14 FIP. Only once over that period did he allow even four runs in a start.

With Game 1 of the NLDS in the books, Skubal has extended that unhittable stretch to 17 starts. Under an oppressively hot midday sun in Los Angeles, the Dodgers quashed the Braves by a score of 5-3. The game started out looking like a pitcher’s duel, spent a few innings looking like it might be a rout, and ended up surprisingly close. All eight runs scored by way of the home run. Skubal was brilliant, striking out seven, walking two, and allowing two hits across six innings. At one point he retired 15 Braves in a row. The effort allowed him to lower his career postseason ERA of 2.04 even further. With a 1-0 series lead, the Dodgers have rounded into form, and the two-time defending champs look every bit the juggernaut we expected back in the spring. Read the rest of this entry »


Taylor Made: White Sox Shut Out Guardians To Capture Game 1

David Richard-Imagn Images

When the Chicago White Sox pushed aside the Houston Astros in a Wild Card sweep, they set up a tilt against a familiar opponent. The Cleveland Guardians are the hereditary rulers of the AL Central, and they nipped the Sox by a single game this year. But other than playing in the same division and having nearly the same record, the two teams present quite the clash in styles. The White Sox are a group of young guys who hit home runs. The Guardians are a group of veterans who play small ball. It’s so compelling that it’s hard to find any other way to look at the series.

The difference between the two teams was on display immediately in Game 1. The Guardians sent Parker Messick to the mound for his first playoff start. He’s one of the best starters in baseball, and he’d be the Rookie of the Year favorite if Kevin McGonigle weren’t from another planet. The White Sox countered with opener Hagen Smith, coming off of an electric three innings against Houston. The White Sox aren’t deploying a “rotation” in the way you’d normally think of one; they’re heavy on multi-inning relievers and light on true starters, so their games are mix-and-match, while the Guardians hope to run their starter out for a decent stretch, then turn the game over to a series of one-inning relievers.

That’s the kind of game plan you can execute against the White Sox if you’re sharp enough. Messick came out a bit scattershot, walking Miguel Vargas and surrendering a hard-hit single to Munetaka Murakami in the first. But he also posted six strikeouts through the first three scoreless innings, the exact kind of numbers you’d expect against the aggressive White Sox lineup. Messick leans on his fastball, and he works the edges. That mattered more today, because to put it charitably, home plate umpire Cory Blaser’s strike zone was uneven. Five of those six strikeouts came on called strike threes, though White Sox hitters were clearly under dugout orders not to challenge early. A particularly egregious pitch to Randal Grichuk – 3-2 count, two inches off the plate outside – got Messick out of the third, and quite frankly, the combination of stuff and zone looked incredibly inhospitable to the White Sox. Read the rest of this entry »