Since the dawn of time, there’s always been at least one elite major league closer who’s thrown the cutter almost exclusively. By “dawn of time” I mean the mid-1990s, of course, but I think we can all agree that civilization only truly began when humankind discovered frosted tips and cargo shorts. First there was Mariano Rivera, then Kenley Jansen, and now that everything from the ’90s is back in style, there’s Emmanuel Clase.
Clase has been a crucial part of Cleveland’s surprising run to first place in the AL Central; he’s recorded the win or the save in 18 of the Guardians’ 33 victories, and he’s fifth among relievers in WPA. Cleveland’s record in one-run games is 8-6, which isn’t particularly freakish, but the Guardians are 8-2 in one-run games when Clase pitches, and 0-4 when he doesn’t.
Here’s another fun one: Clase is on pace for the first 50-save season in MLB since Edwin Díaz in 2018, and 3.4 WAR, which would be the most by a Guardians reliever since 1988. WAR wasn’t even a stat back then! Read the rest of this entry »
I’m writing this article for selfish reasons. Every Monday, I chat with FanGraphs readers (come hang out with us! But not next Monday, because it’s a holiday). Four or five times per chat, someone asks a variation of the same question: “Should my team trade this reliever who has been better than expected to a contender for a huge haul?” Four or five times per chat, I say that they should, but that no one would trade with them. So now, I’m trying to put some numbers to it.
The first argument against doing this is fairly simple: Reliever performance doesn’t work that way. To measure this analytically, I took a bunch of recent seasons (2019, 2021, 2022, and 2023) and split them into two. I looked at the correlation between first-half numbers and second-half numbers for every reliever we listed as qualified in the first half of those seasons. I was looking for a simple question: How much can we infer about second-half numbers based on first-half numbers?
The answer, unsurprisingly, is “not very much.” There’s an obvious problem. Relievers simply don’t pitch very many innings. Last year, Jake Bird led all relievers in innings pitched at the All-Star break, with 53.1. Most relievers had meaningfully fewer innings. They didn’t pitch a ton of innings in the second half, either, because that’s just not how relief pitching works. Only 20 relievers threw 70 or more innings last year. Read the rest of this entry »
On the first knuckleball thrown at Coors Field in 16 years, Matt Waldron hit home plate umpire Bill Miller right in the nuts.
Nobody — not Waldron, not his catcher Kyle Higashioka, not Miller — appeared to know where the ball was going. Despite Higashioka frequently (and understandably) struggling to track the flight of the ball throughout the rest of the night, Waldron delivered a career-best performance, allowing just one run over six innings.
Perhaps the most surprising part of his performance was the setting. Since 2008, knuckleballers have dodged outings at Coors Field, which sits 5,200 feet above sea level. Conventional wisdom dictates that knuckleballs at altitude are a bad idea, as Cy Young-winning knuckleballer R.A. Dickey told Dave Krieger back in 2012. Read the rest of this entry »
Marlins – Manager
Miami · FL
Player Operations: Team Administration/Operations
Role Summary:
As a Senior Analyst specializing in predictive modeling, you will play a pivotal role in transforming data into actionable insights to guide critical decisions across the organization. You will be responsible for developing and deploying sophisticated Bayesian models and automating workflows for cloud-based model deployment. Your role involves collaborating with cross-functional teams and aiding in player evaluation and strategic decision-making.
Key Responsibilities:
Lead the development and deployment of advanced predictive models using Bayesian methods.
Collaborate with cross-functional teams to integrate predictive modeling into cloud-based applications and tools for baseball decision support.
Mentor and provide technical guidance to junior analysts in the department, fostering a culture of continuous learning and innovation.
Stay abreast of emerging trends and technologies in data science and baseball analytics, identifying opportunities for innovation and improvement.
Qualifications:
Bachelor’s degree or equivalent experience in statistics, mathematics, computer science, or a related quantitative field.
5+ years of experience building and deploying predictive models, with expertise in Bayesian methods using technologies such as Stan or PyMC.
Proven track record of success in productionizing models in cloud environments, with experience in platforms such as AWS, Azure, Snowflake, or Google Cloud.
Strong proficiency in statistical programming languages such as R or Python, as well as SQL for data manipulation and analysis.
Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
Passion for baseball and a deep understanding of sabermetrics and player evaluation methodologies.
Nice to Haves:
Advanced degree (Master’s or Ph.D.) in a quantitative field.
Familiarity with additional statistical techniques such as spatial statistics or time series analysis.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital, or veteran status, or any other protected status.
Job Questions:
What is one baseball question you’d like to research? Please describe how you’d answer that question. (Max 300 words)
Marlins – Manager
Miami · FL
Player Operations: Team Administration/Operations
Role Summary:
As an Analyst specializing in predictive modeling within our Baseball Operations department, you will contribute significantly to data-driven decision-making processes. Your role involves developing and implementing advanced statistical models, collaborating with cross-functional teams, and aiding in player evaluation and strategic decision-making.
Key Responsibilities:
Develop and implement predictive models utilizing baseball data.
Collaborate with cross-functional teams to integrate statistical analyses into cloud-based applications and tools for baseball decision support.
Stay updated with emerging trends and technologies in data science and baseball analytics, identifying areas for innovation and improvement.
Provide support to Senior Analysts in model development and data analysis tasks.
Qualifications:
Bachelor’s degree in statistics, mathematics, computer science, or a related quantitative field.
3+ years of experience in building and deploying statistical models.
Proficiency in statistical programming languages such as R or Python, as well as SQL for data manipulation.
Strong communication skills to convey technical concepts effectively.
Passion for baseball and familiarity with sabermetrics and player evaluation methodologies.
Nice to Haves:
Advanced degree (Master’s or Ph.D.) in a quantitative field.
Familiarity with additional statistical techniques such as spatial statistics or time series analysis.
Experience with Bayesian methods using technologies such as Stan or PyMC.
Familiarity with cloud environments such as AWS, Azure, Snowflake, or Google Cloud.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identify, marital or veteran status, or any other protected status.
Marlins – Entry Level
Miami · FL
Player Operations: Team Administration/Operations
Position Summary:
The Miami Marlins are seeking a full-time Data Engineer for the Baseball Analytics department. The candidate will be responsible for designing, implementing, and optimizing ETL processes that ingest, validate, and organize baseball data. The Data Engineer will support the information requirements of our Baseball Operations deparments. Strong applicants will have experience with modern data processes and database management, with extensive knowledge of both SQL and Python.
Responsibilities:
Continuously improve the department’s access to information; design, develop, and optimize ETL processes to ingest data from new data sources.
Improve completeness, cleanliness, and timeliness of existing data sources.
Write automated, production-quality Python and SQL scripts using effective code practices.
Maintain high data quality standards. Proactively identify, diagnose, and resolve data issues.
Learn, extend, and improve the existing database architecture – ensuring data is well organized for end-users and easy to connect to other data sources.
Maintain a version-controlled code repository of ETL scripts.
Collaborate with Baseball Operations staff to understand our organization’s information needs.
Prioritize workflows effectively and share relevant expertise to best support data users.
Qualifications & Requirements:
Strong work ethic, attention to detail, and ability to self-direct.
Passion for engineering development, creativity, intellectual curiosity.
Excellent interpersonal, verbal, and written communication skills.
Demonstrated experience with SQL and Python.
Demonstrated experience with ETL/ELT processes and database management.
Experience working with data in various formats including JSON, CSV, etc.
Degree in Computer Science, Information Systems, or equivalent.
Understanding of and passion for baseball and baseball research.
Ability to work extended hours including evenings, weekends, and holidays.
Nice to Haves:
Experience with workflow orchestration tools such as Airflow, Dagster, or Prefect.
Familiarity with cloud computing platforms such as Snowflake, GCP, or AWS.
Knowledge of container-based environments, including Docker and Kubernetes.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.
NEW YORK — On Tuesday afternoon, Gerrit Cole donned the pinstripes and took the mound at Yankee Stadium, not for his long-awaited season debut, but for a key milestone in his rehab: his first live batting practice session since a bout of nerve inflammation in his right elbow sidelined him in mid-March. The reigning AL Cy Young winner is still at least a few weeks away from returning, but in his absence — and in the face of considerable uncertainty given last year’s performances — his fellow starters have stepped up to help the Yankees into the AL East lead and the American League’s best record.
In front of an empty ballpark but an audience of teammates, coaches, and media, Cole — who eschewed his batting practice jersey in favor of the real thing “because I miss it” — faced teammates Jahmai Jones (a righty) and Oswaldo Cabrera (a switch-hitter batting lefty) from behind an L-screen. He threw 22 pitches, working through his full five-pitch arsenal, and by his own admission, the adrenaline from the setting led him to push his velocity to 96 mph, a point where pitching coach Matt Blake told him to back off. “Matt yelled at me, so I had to throw it like 90 a few times to even it back out,” he quipped afterwards.
“To me, he looked very much in control, with easy velocity,” said manager Aaron Boone of Cole’s session. The ace is eligible to come off the 60-day injured list later this month, but his rehab isn’t far enough for that to be realistic. As for a return in June, Boone indicated that it was a possibility, “but I don’t want to get ahead of ourselves.” Assuming Cole’s recovery from the session goes as planned, he’ll probably throw a couple more BP sessions before heading out on a rehab assignment, which given the math of building up a pitch count points to a late June return. Read the rest of this entry »
Kevin Kelly is proving to be yet another diamond in the rough for the Tampa Bay Rays. Acquired from the Cleveland Guardians via the Colorado Rockies in the December 2022 Rule 5 draft, the 26-year-old right-hander has since logged a 3.14 ERA and a 3.24 FIP in 73 appearances out of the Rays bullpen. Attacking the strike zone from a low arm slot, Kelly has fanned 74 batters while allowing 70 hits and just 16 walks over 86 innings.
His prospect profile was modest at best. A 19th-round pick in the 2019 draft out of James Madison University, Kelly was unranked prior to changing organizations, and going into last year he was conservatively assigned a 40 FV and a no. 27 ranking on our Rays list. Which isn’t to say that Eric Longenhagen didn’t recognize Kelly’s potential. Pointing to the side-slinger’s east-west arsenal and ability to keep the ball out of the air, Longenhagen wrote that Kelly had a chance to stick on Tampa Bay’s roster and be “a great option out of the bullpen when you need a ground ball to get out of a jam.”
Inducing worm-killers is indeed one of Kelly’s greatest strengths. Per Statcast, his 48.2% ground ball rate ranked in the 78th percentile last season, and this year he’s currently in the 91st percentile at 55.6%. And it’s not as though he doesn’t miss a reasonable amount of bats. His strikeout rate might not be anything to write home about, but at 23.0% it dwells in middle of the pack of major league hurlers.
Writers frequently use threshold moments as a way to delineate a shift in the narrative from some prior homeostasis to an entirely new one. As author Jeannine Ouellette describes them, “These thresholds — the pause at the top of each breath, the space between the before and the after — can hold the entirety of our lives in a single second. Can hold everything we have been and everything we might become.”
Threshold moments exist in real life too. Sometimes we don’t notice them until years later, through the lens of hindsight. Other times, it’s as if an arrow-shaped neon sign is casting the scene with a vintage glow, reminding us that we’ll look back on this moment for years to come.
When Shohei Ohtani signed with the Los Angeles Angels in December of 2017, he experienced a threshold moment. Maybe not the day he officially signed, and maybe not for a singular instant, but as he met with teams and envisioned the different iterations of his future, everything he was in Japan and everything he might become in the U.S. likely began to clarify in his mind’s eye. Ohtani’s decision to sign with the Dodgers six years later represents another threshold moment, but again, one that didn’t happen on signing day. More likely, Ohtani underwent two transformational shifts: one where he stopped viewing himself as a Los Angeles Angel, and one where he started viewing himself as a Los Angeles Dodger. Read the rest of this entry »
One of my menagerie of cats, a black cat named Cassiopeia, has a mortal enemy. Not the vacuum cleaner or an empty food bowl like my other cats, but a bright red cardinal that has been hanging around my backyard for quite a while. Cassie’s bête noire survives because she’s an indoor cat, but if for some reason Cassie ever gained access to the cardinal, that bird would be toast. The St. Louis Cardinals are in a not-dissimilar position. A stable, secure franchise for two decades, their careful planning and prudent measures have kept them away from the cat. But as things have gone wrong for the Cardinals over the last year, they’ve found themselves on a precarious perch, short of options other than unpleasant ones.
I don’t think I’m going out on a limb when I talk positively about the long-term stability of the Cardinals. Before last year’s dreadful 71-91 campaign, the franchise had not been under .500 since 2007, and to find a season with more losses, you have to go all the way back to 1990, when this grumpy aging Gen X’er was a grumpy 12-year-old. Last year’s 4.54 ERA doesn’t sound particularly unusual for a lousy team, but it was for the Cards. The pitching staff’s 114 ERA- was the worst for the franchise in a full season (1994 was an even worse disaster, but a truncated one) since 1913.
All in all, this is an organization that even in rough years could never be described as a dumpster fire. And then last year happened. If we go through the Cardinals’ history of ZiPS projections, we can see a team that was a titan of above-average competence.
ZiPS Projected Wins – St. Louis Cardinals
Year
Projected Wins
Actual Wins
2005
98
100
2006
94
83
2007
84
78
2008
78
86
2009
87
91
2010
91
86
2011
83
90
2012
85
88
2013
85
97
2014
90
90
2015
86
100
2016
86
86
2017
85
83
2018
87
88
2019
86
91
2020
31
30
2021
86
90
2022
89
93
2023
91
71
2024
83
79 (Proj.)
This year, the Cardinals were projected to have a bit of a bounceback from 2023, but 83-79 should have served as a bit of a red flag, as only once had ZiPS projected a Cards team to finish with a worse record. The NL Central is one of the weakest divisions and the Cards are not a team in the middle of a rebuild, but one trying to win now. This was an organization that tried to go back to its usual playbook and retool carefully and conservatively. Sonny Gray was the highlight of the winter, signed to a three-year, $75 million contract, but the other signings were one-year stopgaps, either to patch holes in the rotation with no. 4 starters (Lance Lynn, Kyle Gibson) or fill out the back of the depth chart (Brandon Crawford, Matt Carpenter, Keynan Middleton).
Staying the course may work as a long-term strategy when you’re dependably winning 87-93 games a year and your farm system is steadily reinforcing the parent club’s depth with unheralded prospects that end up being real contributors, like Lars Nootbaar, Tommy Edman, Brendan Donovan, and Harrison Bader, among others. This strategy basically involved pretending 2023 didn’t happen, and it ignored a key aspect that also needed addressing: the team’s offense. While the lineup didn’t collapse as drastically as the pitching staff, the team finished 10th in the National League in runs scored, with three of its key contributors in their 30s (Nolan Arenado, Paul Goldschmidt, and Willson Contreras). Yet the most significant move the Cardinals made with their position players this offseason was a subtraction, when they traded left fielder Tyler O’Neill to the Red Sox. The Cardinals certainly couldn’t have counted on the oft-injured O’Neill to stay healthy enough to be one of the most productive power hitters in the league, as he is right now with the Red Sox (.255/.366/.540, 11 HR, 146 wRC+, 1.1 WAR in 38 games entering Tuesday), but just to shed $6 million in salary, the trade cost St. Louis depth and upside that it no longer had to spare.
It was certainly within the realm of probability that the pitching triage would be effective and Arenado and Goldschmidt would play more like they had in 2022 than last year, but so far, that hasn’t been the case. And now the Cards face a serious problem: The expectations of their talent are simply a lot lower than they were a year ago, or even two months ago. To try to demonstrate this in a straightforward manner, I started with everyone projected to make one plate appearance or throw one inning in the majors the rest of the season. To me, that’s a realistic definition of the short-term talent a team intends to use. Then, I grouped each of these players by team. From there, using these groupings, I looked at each of the 30 teams’ projected WAR for 2025, as of Tuesday morning, and compared it to the 2025 outlooks from before the 2023 season and before the 2024 season. This list doesn’t make any accounting for free agents; I’m simply trying to get a feel for the trajectory of the talent each team has access to at this moment.
2025 Team Outlook by Projection Period
Team
Before 2023
WAR Before 2024
Now
Change, Before 2023 to Now
Change, Before 2024 to Now
Arizona
52.1
61.6
62.5
10.4
0.9
Baltimore
55.6
60.7
65.5
9.9
4.8
Atlanta
57.6
64.8
67.2
9.6
2.5
Chicago (N)
50.8
58.4
59.0
8.2
0.6
Milwaukee
44.8
53.0
52.9
8.1
0.0
Pittsburgh
49.0
57.3
56.7
7.7
-0.6
Houston
57.7
61.8
64.1
6.4
2.3
Boston
43.6
49.1
49.9
6.3
0.9
Oakland
33.3
38.3
39.3
6.0
1.0
Miami
38.1
46.1
43.5
5.4
-2.5
Tampa Bay
48.9
57.2
52.5
3.7
-4.7
Minnesota
52.0
55.9
55.6
3.6
-0.2
Texas
53.9
57.9
56.7
2.8
-1.2
Cleveland
58.8
61.6
61.4
2.6
-0.2
Detroit
50.2
53.5
51.2
1.0
-2.3
San Francisco
51.3
52.2
52.3
1.0
0.0
Seattle
53.1
53.0
53.6
0.6
0.6
New York (A)
60.5
59.8
60.7
0.2
0.9
Cincinnati
45.1
48.8
45.3
0.2
-3.5
Los Angeles (N)
63.3
59.8
62.7
-0.6
2.9
Toronto
57.9
54.9
57.2
-0.8
2.3
Philadelphia
52.9
46.3
50.9
-1.9
4.6
San Diego
52.5
48.0
50.3
-2.2
2.3
Colorado
31.0
31.9
28.5
-2.5
-3.5
Kansas City
44.3
36.6
39.8
-4.5
3.2
Washington
35.8
31.2
31.1
-4.7
-0.1
Los Angeles (A)
39.0
33.0
33.6
-5.4
0.6
St. Louis
58.3
55.3
50.8
-7.5
-4.5
New York (N)
55.1
44.0
43.7
-11.5
-0.3
Chicago (A)
44.5
35.3
29.3
-15.2
-6.0
The absolute numbers don’t really matter here, so don’t read too much into them. Few teams, if any, will use the same number of players this season, so these projections are based on a varying amount of players for teams, depending on how each club deploys its roster. What does matter is the change in these numbers.
And, as you can see, the Cardinals have the third-largest dropoff in baseball, from before the 2023 season and before Opening Day this year to now. What’s going on here? The simple answer is that many of the players the Cardinals are relying on the most (Arenado, Goldschmidt, the injured Contreras, Gray, Lynn, and Gibson, among others) are in the decline stage of their careers.
Meanwhile, quick reinforcements from within are unlikely. Of the 11 pitchers who have thrown at least 20 innings at Double-A or Triple-A, only Connor Thomas has a translated ERA in ZiPS under four. Perhaps more concerning, Thomas is the only one of the 11 whose projected 2025 ERA is better now than it was before this season began.
2025 ZiPS Projections – Cardinals Minor League Pitchers
The story is the same for the hitters. Entering Tuesday, 21 players in the high minors have at least 60 plate appearances, and even in that really small sample size, only two of them (José Fermín and Jimmy Crooks) have a translated OPS north of .750. More than half the players (12) have OPS translations below .600.
2025 ZiPS Projections – Cardinals Minor League Hitters
Two-thirds of the hitters have seen their projections for 2025 get worse. Even more troubling is how few of these projected numbers are actually useful to a major league club. Only two hitters project with a .700 OPS in the majors in 2025, and only then just barely.
Further complicating matters is that the diminished projections haven’t been limited to veterans like Goldschmidt. Rather, they’re also the case for pretty much all of the core hitters on the roster who were expected to be “the next generation” of Cardinals. The departed O’Neill may have resuscitated his career with his 2024 so far, but after two injury-affected seasons, he had dropped in status from a player who was eighth in the NL MVP balloting in 2021 to one the Cardinals were happy to see go to save a little cash. Jordan Walker was demoted to Triple-A Memphis before the end of April, and while he’s hit somewhat better since then, a wRC+ of 111 down there is not impressive for a player whose contributions will almost entirely come on offense. Nolan Gorman’s hits this year have been softer than an erotic thriller edited for network television, resulting in 10 points shaved off his projected 2025 wRC+ (115 to 105). Dylan Carlson bears less responsibility for 2024 given the shoulder injury that cost him a month, but after bursting into the majors with a solid rookie season in 2021, he now looks like a fourth outfielder — if that.
Here’s what makes things even trickier for the Cardinals: Despite their 21-26 record and third-place standing, they’ve won six of their last eight games entering Wednesday — their game Tuesday night against the Orioles was suspended due to rain in the sixth inning with the score tied, 1-1 — and have an 19.1% probability to make the postseason, per our Depth Charts playoff odds. That certainly isn’t a great chance, but considering the lack of options to turn things around in time for short-term future seasons, it might be more appealing for the organization to stay the course with the hope of making an unlikely, but hardly impossible, playoff push than it would be to make a drastic decision now that might be more beneficial in the long run.
It’s worth mentioning that, as of Tuesday morning, ZiPS projected St. Louis to have a 15.3% playoff probability because ZiPS is normally more optimistic about the Cardinals than is Depth Charts. ZiPS generally factors in organizational depth more than DC does, and the Cardinals typically have excellent depth. This year, that is not the case. Additionally, even with the expectation that Goldschmidt and Arenado are likely to better the rest of the way than their early season performance, as well as the assumption that Contreras will come back strong from his brutal arm fracture, ZiPS projects the Cardinals to have the 11th-best offense in the National League for the remainder of the season. And the rotation projects no better, at 12th of the 15 NL teams. Amusingly, the bullpen may be the team’s strongest asset, a reversal of fortune from previous years.
In other words, the Cards could very well win 85 games and sneak into a wild card spot. But that’s the hope of a mediocre team, not a top contender. It’s a risky one, too; the prospect of having some chance of making the playoffs may keep the team willing to tread water, again trying to filibuster the decision of whether to push in all their chips or to fold their hand. If the Cardinals decide to punt, some of their players would still have value to other teams in a trade. Closer Ryan Helsley, lefty setup man JoJo Romero, Nootbaar, and Goldschmidt, assuming he starts to hit again, all could fetch significant prospects for the farm system. The 33-year-old Arenado would also net a nice return so long as the Cardinals would agree to pay a chunk of his remaining salary. (After this season, he’ll make $52 million over the final three years of his contract.) Or, if St. Louis wants to double down and try to win in 2025 without selling before the deadline, there are some enticing players who will be free agents after the season, such as Corbin Burnes, Max Fried, Pete Alonso, and – dare I say – Juan Soto. But the organization’s track record suggests that neither of these approaches is likely; the Cardinals don’t tear everything down, and they don’t play at the top of the free agent market.
As things stand, time is not on the organization’s side. When I project the results for the NL Central in 2025 and 2026, using each team’s in-system talent and therefore not accounting for potential future moves, the Cardinals continue to slide relative to the other teams in the division. In fact, St. Louis is the only one of the five teams that has a worse projection for 2026 projection than it does for 2024. The system-only projection for 2025 pegs the Cardinals to win only 79 games, followed by 77 wins for 2026. In these projections, the young pitching in the high minors would replace the team’s current starters, except for Gray, but Hence is the only one who projects to have a high ceiling. Meanwhile, on offense, ZiPS projects the team to continue to get almost nothing from the farm. That’s a problem for many reasons, but one of the most immediate ones is that Goldschmidt, who turns 37 in September, will be a free agent after the season. Even if he isn’t as bad as he’s looked so far this year, it’s unlikely that he’ll be as good as he once was in the future; recognizing this, it would make sense for the Cardinals to move on from him. Except, because of their uninspiring hitting prospects, the Cardinals don’t have a good option to replace even a diminished version of Goldschmidt. Walker and Gorman are natural third basemen, so one of them could take over for Arenado if the Cardinals trade him, but that would open up a hole somewhere else on their roster that would need to be filled by players who aren’t good enough to replace the lost production.
The Cards have long been one of the most competent organizations in the league. But at the moment, steadiness looks like indecision and conservatism looks meek. My cat Cassie will never get the chance to catch her cardinal, but there’s a very real possibility that the predators in the NL Central have successfully captured theirs.
Amid all the (mostly Gunnar Henderson-related, as I understand it) Orioles hoopla, John Means has a chance to do something unusual in his start later today against the Cardinals. Means is the only starting pitcher this season to make it through his first three outings without walking a batter.
That might not sound like much to all you folks who walked barefoot in the snow — uphill, both ways — to see Christy Mathewson shut out the Louisville Trench Foots every three days, way back when. But it’s pretty impressive by modern standards. Only four other starters — Mitchell Parker, Sonny Gray, Corbin Burnes, and Shota Imanaga — even made it through their first two starts without giving up a free pass in 2024. And if Means continues according to form this afternoon, he’ll join a surprisingly small group of pitchers. Read the rest of this entry »