Mookie Betts ended June the way he began it, by leading off the Dodgers’ half of the first inning with a homer, then adding another later on as one of his three additional hits. He bookended his month by doing so against the Yankees in Los Angeles on June 2, then against the Royals in Kansas City on June 30. Along the way, he added an additional five homers, boosting his season total to 22 (he hit his 23rd on Tuesday night against the Pirates), and he’s remained hot as July has begun. Not surprisingly, he’ll be the National League’s starting lineup in next week’s All-Star Game.

Betts has been on a leadoff homer binge this season. Just past the midway point, he’s hit nine already, including five in June, and three in an eight-day span as the month ended:

Betts’ total to date ties him for ninth on the single-season leaderboard, though he’s just four homers shy of the record, which was challenged by Jose Altuve last year, when he fell one short:

You’ll note that all but one of those 13 seasons has taken place in the Wild Card era (1995 onward), and over half of them have occurred in what we might call the Statcast era (2015 onward). Those high concentrations have plenty to do with the higher home run rates of recent seasons, and they also owe plenty to teams’ increasing willingness to bat power hitters first. Who doesn’t find the possibility of a quick 1–0 lead tantalizing? Read the rest of this entry »

I was contemplating Kyle Schwarber recently, as one does, and was amused by the notion that a player could post a batting average in the .170s and still be a valuable hitter overall. We’ve known that batting average isn’t everything since… well, I was going to say the nascent moments of the sabermetric revolution in the late 20th century, but it’s been way longer than that.

There’s a thread in popular history that casts the latter-day Brooklyn Dodgers as a team of romantic literary figures. Between the righteousness of Jackie Robinson and Pee Wee Reese, the tragic brevity of the careers of Pete Reiser and later Roy Campanella, and the juxtaposition with the shiny, all-conquering Yankees, there’s a sense that the Dodgers succeeded through some combination of moral rectitude and poetic necessity.

In truth, they won because they drew an absolute crapload of walks. In 1947, Reese and Eddie Stanky both drew over 100 walks, and the Dodgers drew 30% more walks than the NL average. The 2002 A’s beat the AL average by 16%, so the team that made walking cool looks like a bunch of hackers next to the 1947 Dodgers.

If Branch Rickey knew the limitations of batting average, what took the rest of us so long? Read the rest of this entry »

Officially, Noah Syndergaard went on the injured list on Thursday due to a blister on his right index finger. Unofficially, it might be said that he’s been blistered by opposing hitters, and sidelined by a wounded psyche. The once-mighty 30-year-old righty doesn’t have the velocity, stuff, or confidence of his early heyday, and he’s been frank about the mental toll of his struggles, which have turned him into one of the majors’ least effective starting pitchers. It’s time for a reset.

Signed to a one-year, $13 million deal under the expectation that with another year of distance from his 2020 Tommy John surgery, he could reclaim some of his lost velocity and stabilize the back of the Dodgers rotation, Syndergaard has been a shadow of his former self. In 12 starts totaling 55.1 innings, he’s been hit for a 7.16 ERA, which ranks as the highest among the 63 NL starters with at least 40 innings. His 5.54 FIP is the fifth-worst out of that group, and his 5.55 xERA is tied for seventh-worst. Both his 15.4% strikeout rate and 1.95 homers per nine are among the league’s seven worst as well. Read the rest of this entry »

Across a career in baseball that spanned over 40 years, Roger Craig was at various points a hotshot rookie who helped the Dodgers win their only championship in Brooklyn, the first and best pitcher on an historically awful Mets team, the answer to a trivia question linking the Dodgers and Mets, a well-traveled pitching coach who shaped a championship-winning Tigers staff, and a culture-changing, pennant-winning manager of the Giants. He was particularly beloved within the Giants family for his positive demeanor and the way he shook the franchise out of the doldrums, though it was via his role as a teacher and evangelist of the split-fingered fastball — the pitch of the 1980s, as Sports Illustrated and others often called it — that he left his greatest mark on the game.

Craig didn’t invent the splitter, which owed its lineage to the forkball, a pitch that was popular in the 1940s and ’50s, but he proved exceptionally adept at teaching it to anyone eager to learn, regardless of team. For the pitch, a pitcher splits his index and middle fingers parallel to the seams, as in a forkball grip, but holds the ball further away from the palm, and throws with the arm action of a fastball. The resulting pitch “drops down in front of the batter so fast he don’t know where it’s goin’,” Craig told Playboy in 1988. “To put it in layman’s terms, it’s a fastball that’s also got the extra spin of a curveball.”

Given its sudden drop, the pitch was often mistaken for a spitball, so much so that it was sometimes referred to as “a dry spitter.” It baffled hitters and helped turn journeymen into stars, and stars into superstars. After pioneering reliever Bruce Sutter rode the pitch to the NL Cy Young Award in 1979, pitchers such as Mike Scott, Mark Davis, Orel Hershiser, and Bob Welch either learned the pitch directly from Craig, or from someone Craig taught, and themselves took home Cy Youngs in the 1980s. Jack Morris, Ron Darling, and Dave Stewart won championships with the pitch, as did Hershiser. Years later, the likes of Roger Clemens, David Cone, Curt Schilling, and John Smoltz would find similar success with the pitch, though it eventually fell out of vogue due to a belief that it caused arm problems, an allegation that Craig hotly refuted.

Not that Craig was a hothead. Indeed, he was even-keeled, revered within the game for his positivity. Such traits were reflected in the tributes paid to him after he died on Sunday at the age of 93, after what his family said was a short illness. “We have lost a legendary member of our Giants family.” Giants CEO Larry Baer said in a statement. “Roger was beloved by players, coaches, front-office staff and fans. He was a father figure to many and his optimism and wisdom resulted in some of the most memorable seasons in our history.” Read the rest of this entry »

As a hitting mechanics nerd, there are a few players on my shortlist of guys who I would love to get in the cage with and talk about their process, development, and mindset in the batter’s box. J.D. Martinez is one of them. He’s established a reputation for himself as a cerebral hitter. It was a key reason for his breakout season in 2014, his rebound in 2021 after a rough shortened season in 2020, and now his resurgence in 2023. Despite an IL stint earlier this month for a back issue, Martinez has destroyed baseballs recently and pushed his wRC+ up to a 146 on the season. In May alone, he posted a 172 wRC+ and .392 ISO.

His power stroke is back after working on recovering it with Dodgers hitting coach Robert Van Scoyoc throughout spring training and the opening month of the season. The Athletic’s Fabian Ardaya spoke to Martinez and Van Scoyoc in early April about Martinez losing efficiency in one of the most important aspects of his swing: his hand row. Martinez pointed to a line of physical compensations in his swing as a result of an ankle injury from the 2018 World Series that he reaggravated down the stretch in 2021. When you’re as in tune with your mechanics and where your barrel is in space as Martinez is, these little aggravations can significantly impact the way you understand how your body is moving. Before jumping into some video showing how Martinez has changed since last year with Boston, let’s take a look at some batted ball and performance data that detail how much better he has been this season:

Read the rest of this entry »

The calendar just flipped over to June, and somehow we have yet to write even one article about the best position player in all of baseball this season. Not that it’s a surprise; nothing about the best position player in all of baseball is a surprise.

If you Google “Freddie Freeman” and “killer,” in just the first page of results, you’ll find references to Freeman as a Nats killer, a Braves killer, a Mets killer, a Phillies killer, and a Cubs killer. (If you don’t use the quotation marks, you’ll get references to Freeman as a Mets killer and a Nats killer, plus a bunch of headlines about an actual murderer.) But here’s the thing: if you look at Freeman’s performance against every team in baseball and rank them by wOBA, only one of those five teams is even in the top 12. It feels personal no matter who you root for, but Freeman is just an everybody killer. It’s a conundrum straight out of Catch-22.

“They’re trying to kill me,” Yossarian told him calmly.
“No one’s trying to kill you,” Clevinger cried.
“Then why are they shooting at me?” Yossarian asked.
“They’re shooting at everyone,” Clevinger answered. “They’re trying to kill everyone.”
“And what difference does that make?”

(The Braves are the one team that’s actually in the top 12; they’re number four. Freeman has a .361 average and a 206 wRC+ against them, and for obvious reasons he may actually want to kill them.) Read the rest of this entry »

It’s hard for me to explain how much I enjoy watching Mookie Betts hit. He has an air of quiet confidence that reminds me of how I feel when I’m at my very best. That slider, low and tight? He doesn’t need it, so he’s ignoring it. Fastball away? Eh, he’ll find something better to attack. Then that perfect pitch comes by, and he springs into action, trading his air of barely concealed boredom for ferocity.

Luis Robert Jr. is a joy to watch as well, but for completely different reasons. He’s a coiled spring at the plate, waiting to burst into action. He’s one of the best athletes in all of baseball and at times one of the best players, period. His phenomenal bat control and speed let him feast on pitches all over the plate and even off of it, and you can see it in his statistical record: few walks, huge swing rates, and a minor strikeout problem that was minor only because of his rare combination of power and contact.

Betts and Robert have been very different players in their respective major league careers. But they share one distinction this year: they’re the two players who have cut back on their fastball swing rates the most. They’re numbers one and two with a bullet:

Read the rest of this entry »

No sooner had the Dodgers surged to the NL’s best record with a 14–2 run keyed by the return of Will Smith than the wheels started falling off their rotation. Over a seven-game span that began on May 15, their starters eked out just 25.2 innings, only twice lasting five frames. Not only was the bullpen tapped to the extreme, but Clayton Kershaw also made dubious personal history with a pair of early exits, and both Dustin May and Julio Urías landed on the injured list. The whole mess is forcing the organization to test its depth at a less-than-optimal time.

For starters, this isn’t what you want:

For the week, Los Angeles starters were cuffed for a 5.96 ERA and 5.05 FIP in those 25.2 innings, and the team’s overtaxed relievers were lit up for a 6.99 ERA and 5.73 FIP in 29 appearances totaling 37.1 innings. Because the Dodgers’ league-best offense bashed out 40 runs in those seven games, they managed to go 3–4, but their three-game division lead over the Diamondbacks was cut in half, and at 29–19, they fell behind the Braves (29–17), whom they’ll face for three games in Atlanta starting on Monday, for the NL’s best record. Read the rest of this entry »

Stop me if you’ve heard this one: the Dodgers have the National League’s best record. Just past the one-quarter mark of the season, the team that’s dominated the NL West over the past decade while winning three pennants is back on top with a 27-15 record, that after spending most of April struggling to steer clear of .500. Since April 28, they’ve won 14 of 16, a span that has coincided with the return of Will Smith to the lineup after experiencing concussion-like symptoms.

As he’s been doing so often lately, Smith played a key role in Monday night’s 12-inning win over the Twins at Dodger Stadium. In the first inning, with a man on first, he hit a 398-foot wall-scraper off Pablo López for a two-run homer that immediately preceded a solo shot by Max Muncy. In the third, Smith poked a single to center field and came home on Muncy’s second homer of the night. He didn’t get another hit, but reached on an error in the fifth inning, which prompted Twins manager Rocco Baldelli to pull López from the game. The Twins clawed back from a 5-1 deficit to tie the game via Trevor Larnach‘s three-run eighth-inning homer and send it to extra innings, where they scored first in the 10th. But Smith, serving as the Manfred Man in the bottom of the frame, hustled home on a J.D. Martinez single that re-tied it. The Dodgers won in 12 on Trayce Thompson’s walk-off walk.

Smith has been locked in lately, going 10-for-25 with two doubles, three homers and seven RBIs in his past six games, all wins over the Brewers, Padres, and Twins. In fact, he’s been locked in just about all season save for his time on the sidelines. The 28-year-old slugger started 10 of the Dodgers’ first 13 games behind the plate, but took two foul balls off his catchers’ mask during the team’s April 10-12 series against the Giants. He sat out the first two games of the Dodgers’ subsequent series with the Cubs; before the second one, he told the Dodgers he didn’t feel right but passed a concussion test. “He felt uneasy and foggy,” as manager Dave Roberts explained at the time. Preferring to take a cautious approach, the Dodgers retroactively placed Smith on the 7-day concussion injured list on April 16. Read the rest of this entry »

Senior Quantitative Analyst

Department: Baseball Operations
Status: Full-Time
Location: Los Angeles, CA
Pay Rate: $120,000 – $150,000/year*
Reports to: Director, Quantitative Analysis

*Compensation rates vary based on job-related factors, including experience, job skills, education, and training.

The Los Angeles Dodgers are looking for quantitative baseball researchers to turn data into actionable insights through use of mathematical and statistical models. Senior Analysts are expected to innovate on our core data products, identify future areas of innovation in predictive modeling, identify and implement best practices in developing and deploying code, and provide data-backed opinions to coaches and front office decision-makers on decisions regarding on-field strategy, player development, and player evaluation.

Essential Duties & Responsibilities:

• Own the development and deployment of our most complex and highest impact predictive models
• Identify, research, and implement opportunities for new models, data sources, and areas of baseball research
• Contribute to high level planning and prioritization of projects within the QA group
• Build internal tooling to make you and your peers more efficient
• Understand the needs of users and evaluate the day-to-day impact of analytics products
• Perform ad hoc data analyses to answer urgent questions from front office leadership and other groups within baseball operations
• Advise executives and coaches on player evaluation, player development, and on-field strategy
• Make public appearances to student and professional groups to aid departmental recruiting efforts
• Provide mentorship to junior analysts, interns, and various members of the Dodgers organization not coming from a technical background.

Basic Requirements/Qualifications:

• Passionate about winning championships
• 5+ years of experience building and evaluating predictive models in industry
• Expertise in model deployment and tools for automating data science workflows
• Experience maintaining a well-organized, well-documented code repository
• Experience mentoring early-career data scientists

Nice to Haves:

• Experience using data to advise decision-making in some domain
• Experience with Bayesian Statistics
• Experience with spatial statistics
• Experience with analysis of time series data
• Experience with machine learning, particularly problems involving computer vision
• Experience maintaining and monitoring machine learning models in production
• Experience with SQL
• Experience doing baseball research

To Apply:
To apply, please follow this link.

Quantitative Analyst

Department: Baseball Operations
Status: Full-Time
Location: Los Angeles, CA
Pay Rate: $90,000 – $110,000/year*
Reports to: Director, Quantitative Analysis

*Compensation rates vary based on job-related factors, including experience, job skills, education, and training.

The Los Angeles Dodgers are looking for quantitative baseball researchers to turn data into actionable insights through use of mathematical and statistical models. Analysts are expected to build and evaluate models, follow best practices in developing and deploying code, and provide data-backed opinions to coaches and front office decision-makers on decisions regarding on-field strategy, player development, and player evaluation.

Essential Duties & Responsibilities:

• Maintain and make improvements to our core predictive models
• Contribute features to internal tooling
• Understand the needs of users and evaluate the day-to-day impact of analytics products
• Perform ad hoc data analyses to answer urgent questions from front office leadership and other groups within baseball operations
• Advise executives and coaches on player evaluation, player development, and on-field strategy
• Make public appearances to student and professional groups to aid departmental recruiting efforts
• Provide mentorship to junior analysts, interns, and various members of the Dodgers organization not coming from a technical background.

Basic Requirements/Qualifications:

• Passionate about winning championships
• 2+ years of experience building and evaluating predictive models in industry or equivalent experience in academia
• Experience maintaining a well-organized, well-documented code repository

Nice to Haves:

• Experience using data to advise decision-making in some domain
• Experience with model deployment and tools for automating data science workflows
• Experience mentoring early-career data scientists
• Experience with Bayesian Statistics
• Experience with spatial statistics
• Experience with analysis of time series data
• Experience with machine learning, particularly problems involving computer vision
• Experience maintaining and monitoring machine learning models in production
• Experience with SQL
• Experience doing baseball research

To Apply:
To apply, please follow this link.

Junior Quantitative Analyst

Department: Baseball Operations
Status: Full-Time
Location: Los Angeles, CA
Pay Rate: $75,000 – $85,000/year*
Reports to: Director, Quantitative Analysis

*Compensation rates vary based on job-related factors, including experience, job skills, education, and training.

The Los Angeles Dodgers are looking for quantitative baseball researchers to turn data into actionable insights through use of mathematical and statistical models. Analysts are expected to build and evaluate models, follow best practices in developing and deploying code, and provide data-backed opinions to coaches and front office decision-makers on decisions regarding on-field strategy, player development, and player evaluation.

Essential Duties & Responsibilities:

• Assist more senior analysts in building, evaluating, deploying, and maintaining statistical and machine learning models of baseball data
• Understand the needs of users and evaluate the day-to-day impact of analytics products
• Perform ad hoc data analyses to answer urgent questions from front office leadership and other groups within baseball operations
• Advise executives and coaches on player evaluation, player development, and on-field strategy
• Continue to build your own data science skills and those of your colleagues

Basic Requirements/Qualifications:

• Passionate about winning championships
• Demonstrated experience building and evaluating predictive models. Candidates providing evidence such as a personal GitHub page will be given highest consideration.

Nice to Haves:

• Experience using data to advise decision-making in some domain
• Experience with model deployment and tools for automating data science workflows
• Experience maintaining a well-organized, well-documented code repository
• Experience with Bayesian statistics
• Experience with spatial statistics
• Experience with analysis of time series data
• Experience with machine learning, particularly problems involving computer vision
• Experience maintaining and monitoring machine learning models in production
• Experience with SQL
• Experience doing baseball research

To Apply:
To apply, please follow this link.

The content in this posting was created and provided solely by the Los Angeles Dodgers.