A Playoff Pitching Primer
The playoffs feature the best teams, with the best hitters squaring off against the pitchers with the best stuff. The stakes and the quality of the competition force teams to respond to fluctuations in leverage more quickly than they would in the regular season. This response makes sense: every change in win probability has an outsized effect on championship probability, so major league clubs act accordingly.
In his dissection of Kevin Cash’s decision to pull Blake Snell in the sixth inning of Game Six of the 2020 World Series, Ben Lindbergh pointed out that starting pitchers leave playoff games earlier than regular season contests, with relief pitchers now throwing the majority of playoff innings. Lindbergh also noted that more playoff starters threw 3 1/3 innings or fewer in 2020 than went at least six, a product of teams’ acceptance of the third time through the order penalty. The third time through the order penalty is real, especially for starters who lack deep repertoires. Removing starters after they turn the lineup over once or twice in favor of a high-octane bullpen arm throwing 97 mph with a slider gives the pitching team a better chance of recording an out in situations where the outcome of the game hangs in the balance.
With starters aware that they are on a short leash and likely won’t see a hitter more than once or twice, I figured it was worth looking at how pitch usage changes in the postseason. I pulled every pitcher who threw at least 50 pitches in both the regular season and the playoffs from 2015-20. I calculated each pitcher’s pitch usage in the regular season and playoffs separately and took the differences in pitch usage for each pitch. My hypothesis was that hurlers who feature a bevy of different pitches would lean more on their more trusted offerings knowing they likely won’t be asked to go deep into the game and will be pulled at the first sign of any trouble. Similarly, I thought that pitchers who employ a limited arsenal would trust their favorite pitch with the increased pressure of getting their clubs back to the dugout without allowing runs. Read the rest of this entry »
FanGraphs Live: Prospect Film Session, Monday 5:30 PM ET
Join me and Kevin Goldstein today at 2:30 PM PT/5:30 PM ET for our latest Prospect Film Session in which we screen, discuss, and analyze my recently-shot prospect video live on the FanGraphs Twitch channel. This episode, we’ll be analyzing footage from the first two weeks of Instructional League ball in Arizona.
We’ll check in on a number of very famous prospects and also study some guys who viewers will be wholly unfamiliar with, emerging from the obscurity of the desert backfields. The show can be found live on the FanGraphs homepage as well as on Twitch. Fill your baseball-less void with prospect discussion before the playoffs begin in this quiet, lo-fi stream with a focus on largely unedited footage like this. Read the rest of this entry »
Chaos and Clayton Deferred: Notes From Baseball’s Final Weekend
Like the majority of the people reading this, I spent my weekend doing little other than watching baseball. The possibilities for real chaos were endless, and while none of the various bingo balls fell our way for a meaningful game on Monday, the season still ended with plenty of drama and interesting tidbits.
Clayton Kershaw Walks Off The Mound
In the midst of the exciting games with all sorts of playoff implications, it was a jarring moment when Kershaw came out of Friday night’s start against Milwaukee with what is being described as forearm discomfort. Based on both his and Dave Roberts’ post-game comments, whatever is going on with one of the best left arms in the history of the game is not good, and his 2021 season is likely over. As far as his Dodgers career, that’s still to be determined; his contract expires after the final out of the World Series.
The No. 7 pick in the 2006 draft out of a high school in the northern suburbs of Dallas, Kershaw came onto my radar that summer, when a veteran scout told me that he was the best pitcher at the complex level he’d ever seen over decades of experience. My first in-person look came the following spring during his full-season debut with Low-A Great Lakes. He reached Double-A that year as a teenager, and even though he walked nearly five batters per nine innings, much of that was the fault of minor league umpires who had no idea how to call a pure 12-to-6 curveball with more downward action than they had likely ever seen.
The first time I watched Kershaw for professional purposes came in March 2014 in a spring training game against the Padres. He was horrible, allowing nine base runners in his three innings of work; it was early, and he hadn’t ramped up. I still remember my report: “Fringy command of fringy weapons. Likely Cy Young candidate.” He’d go on to win his third in four years that season.
Job Posting: Dodgers Baseball Operations Junior Analyst
Position: Junior Analyst, Baseball Operations
Summary:
The Baseball Operations team of the Los Angeles Dodgers is responsible for supporting the Major League Coaching Staff and Baseball Operations leadership group with data and information needed for strategic decision making. As a Junior Analyst, you will work with other members of the Baseball Operations team to build reports and visualizations to communicate insights clearly and concisely to stakeholders. This position offers the opportunity to push the boundaries of conventional thinking, grow analytically by solving challenging problems, and collaborate with some of the best baseball minds in the sport. As a member of the Baseball Operations team, you will see your work impact the Major League team on a nightly basis.
Job Functions:
- Develop and deliver reports to the Major League Coaching Staff and Baseball Operations leadership group in a timely manner
- Build new tools and improve existing ones, to optimize workflows and quality of information
- Perform ad-hoc research as requested, summarizing key findings
- Utilize statistical tools and metrics to analyze the Dodgers and upcoming opponents
- Perform other related duties as assigned
Basic Requirements/Qualifications:
- High school diploma, GED or equivalent
- Experience using R to wrangle and visualize data
- Familiarity with SQL and Git
- Knowledge of sabermetric research and principles
- Ability to work a varied schedule including evenings, weekends, and holidays
- Bachelor’s degree in a STEM field preferred
- Passion for a field outside of analytics that could be applicable to baseball (web or app development, design, or physics, to name a few) preferred
To Apply:
To apply, please use this link.
The content in this posting was created and provided solely by the Los Angeles Dodgers.
Team Entropy 2021: Six Ways to Sunday
This is the sixth installment of this year’s Team Entropy series, my recurring look not only at the races for the remaining playoff spots but the potential for end-of-season chaos in the form of down-to-the-wire suspense and even tiebreakers. Ideally, we want more ties than the men’s department at Macy’s. If you’re new to this, please read the introduction here.
As noted in the boilerplate introduction above, it is the primary goal of the Team Entropy project to root for extra baseball beyond the 162-game regular season. While the complicated scenarios involving more than a single isolated head-to-head tiebreaker game may be farfetched, appreciating the sense of possibility for greater things as events unfold is part of the package. This is as much about the journey as it is the destination, which so often remains abstract. There have been just three winner-take-all tiebreaker games played since I began this project in 2011.
The secondary goal of the Team Entropy project, and part of appreciating that sense of possibility, is to have at least some portion of the playoff picture at stake on the final day of the season. On that note, we have already achieved some level of success, as we enter the final day of the 2021 season with four teams still battling for the two AL Wild Card berths — one of which is attempting to make its first postseason in 20 years — and with the NL West title still in doubt as teams with 106 and 105 wins attempt to avoid a do-or-die Wild Card game. Read the rest of this entry »
Sunday Notes: Ralph Garza Jr. Looks Back at His Non-stereotypical Debut
Ralph Garza Jr.’s MLB debut was both forgettable and impossible to forget. The 27-year-old right-hander took the mound for the Houston Astros in a May 29 home game against the San Diego Padres, and the circumstances were anything but ordinary. Rookies rarely get their feet wet with games hanging in the balance, and Garza entered in the 12th inning with the score knotted at eight runs apiece. Moreover, the Friars — their eventual free fall still far in the future — had won 14 of their last 16 games. A hornet’s nest awaited.
“It wasn’t your stereotypical debut,” acknowledged Garza, who two months later was designated for assignment and claimed off waivers by the Minnesota Twins. “But it’s funny, because as a reliever you’re told to always prepare for the worst. And it was something, especially against that lineup at that time. They were hot. Basically, I was being thrown into the fire. It was extras, last guy available, ‘There you go.’”
When the bullpen phone rang, he knew that his debut was nigh. It was a moment where Garza needed to remind himself to “stay calm and remember what you do, and how to do it.” Easier said than done. As the Edinburg, Texas native aptly put it, keeping one’s emotions in check when climbing a big-league bump for the first time is “like trying to tell water not to be wet.”
Garza entered with a ghost runner on second and promptly issued an intentional walk to Fernando Tatis Jr. A harmless fly-ball out followed, but soon things went south. A few pitches later, Wil Myers launched a mis-located heater into the cheap seats, turning a coming-out party into a nightmare. Garza knew it right away. Read the rest of this entry »
ZiPS Stretch Run Update: One Last Normal Day (Sunday Update)
Quick Sunday update. The Yankees lost on Saturday, furthering the potential for chaos, and the four-way tie is an increased possibility, at 6.5%. The chances of bonus baseball overall now stand at 57.6%. Good news for us and good news for the Rays, who will play one of these four teams later this week. It’s not something that’s captured in projections, but it’s interesting that if the Rays go full B-team, it reduces the chances of a tie, and as a result, a slight reprieve for the team they eventually play. Jameson Taillon is back in as the starter and Joan Adon looks to be Washington’s starter, which is to Boston’s benefit according to the projections.
The NL West remains unresolved, but simple: if the Dodgers win and the Giants lose, they play a tiebreak game. ZiPS has a 19.8% chance of a tiebreaker game, with the overall division as San Franciso 90.0%, Los Angeles 10.0%. Freddy Peralta is being held back for the playoffs with Brett Anderson going today. It makes sense too; it’s in Milwaukee’s interest to leave one of these teams more susceptible to getting knocked out of the playoffs by the Cardinals later this week.
Day | Home Team | Starter | Road Team | Road Starter | Home Team Wins | Road Team Wins |
---|---|---|---|---|---|---|
10/3 | Blue Jays | Hyun Jin Ryu | Orioles | Bruce Zimmermann | 65.7% | 34.3% |
10/3 | Nationals | Joan Adon | Red Sox | Chris Sale | 40.1% | 59.9% |
10/3 | Yankees | Jameson Taillon | Rays | Michael Wacha | 48.2% | 51.8% |
10/3 | Mariners | Tyler Anderson | Angels | Reid Detmers | 47.7% | 52.3% |
Team | Wild Card 1 | Wild Card 2 | Playoffs |
---|---|---|---|
Boston | 52.4% | 32.4% | 84.8% |
New York | 40.9% | 38.0% | 78.8% |
Toronto | 3.8% | 17.7% | 21.5% |
Seattle | 3.0% | 11.8% | 14.8% |
Scenario | BOS | NYA | TOR | SEA |
---|---|---|---|---|
Boston Beats Washington on Sunday | 15.2% | -2.8% | -7.2% | -5.2% |
Baltimore Beats Toronto on Sunday | 7.1% | 10.6% | -21.5% | 3.8% |
Los Angeles Beats Seattle on Sunday | 5.0% | 6.3% | 3.5% | -14.8% |
Tampa Bay Beats New York on Sunday | 2.7% | -20.0% | 10.3% | 7.0% |
New York Beats Tampa Bay on Sunday | -2.9% | 21.1% | -11.1% | -7.1% |
Toronto Beats Baltimore on Sunday | -4.0% | -5.1% | 11.2% | -2.1% |
Seattle Beats Los Angeles on Sunday | -5.2% | -7.0% | -3.8% | 16.0% |
Washington Beats Boston on Sunday | -23.7% | 4.2% | 11.5% | 8.0% |
Game | Leverage |
---|---|
New York vs. Tampa Bay on Sunday | 0.41 |
Washington vs. Boston on Sunday | 0.39 |
Toronto vs. Baltimore on Sunday | 0.33 |
Seattle vs. Los Angeles on Sunday | 0.31 |
Day | Home Team | Starter | Road Team | Road Starter | Home Team Wins | Road Team Wins |
---|---|---|---|---|---|---|
10/3 | Dodgers | Walker Buehler | Brewers | Brett Anderson | 60.0% | 40.0% |
10/3 | Giants | Logan Webb | Padres | Reiss Knehr | 66.7% | 33.3% |
10/4 | Giants | Alex Wood | Dodgers | Max Scherzer | 53.3% | 46.7% |
===
Below you’ll find today’s ZiPS stretch run update. For details on just what’s going on here, please refer to my original article describing all these mathnanigans.
American League Wild Card
The Yankees and their bats were largely quiet against the Rays on Friday, but they still basically control their own destiny as the team in the first Wild Card spot, albeit the one with by far the toughest opposition. The Blue Jays fended off a late-inning Baltimore rally and held on to the win, but the Red Sox winning was just as damaging to Toronto’s playoff hopes as the Jays’ win was helpful. Toronto’s still one-in-five to make the postseason, but needs some help now; since the Blue Jays are already assumed to be strongly favored to beat the Orioles, they get an even larger boost from a Nationals win. Read the rest of this entry »
Effectively Wild Episode 1754: Never Tell Me the Odds
With the postseason around the corner, Meg Rowley and guest co-host Ben Clemens discuss the playoff picture, how the Seattle Mariners got where they are, which team Ben would prefer to see his Cardinals match up against in the NL Wild Card, and the biggest surprises of the season. Then they discuss Ben’s recent work assessing FanGraphs’ playoff odds, what the odds do well and less-well, what kinds of teams they tend to be too low on or overestimate, and how the model could improve. They also offer some theories about why we seem to struggle with probabilistic thinking, look back on what they’ll miss most about the 2021 regular season, and share some brief Cy Young thoughts. Read the rest of this entry »
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A Playoff Odds Check Supplement
Yesterday, I tested how well our playoff odds have predicted eventual playoff teams. Today, I’m going to slice the data a few more ways to get a more robust look at what our odds do well, and where they have fewer advantages over other models. It will be number- and picture-heavy, word-light. Without further ado, let’s get started.
A discussion with Tom Tango got me wondering about why our Depth Charts-based odds do so well early in the season relative to other systems. Their advantage is particularly strong at the beginning of the season and fades as the year goes on. For all charts in the article that are based on days into a season, I’ve excluded the 2020 season for obvious reasons. Here are the mean average errors for each of the three systems over the first 60 days of the season:
What’s driving that early outperformance? In essence, it comes down to one thing: the projection-based model is willing to give teams high or low probabilities of making the postseason right away. Our season-to-date stats mode is hesitant to do that, and the coin flip mode obviously can’t do it. Take a look at the percentage of teams that each system moves to the extremes of the distribution — either less than 5% or more than 95% to make the playoffs — by day of season:
Why does this matter? If you’re judging based on mean absolute error, making extreme predictions that turn out to be right is a huge tailwind. If you predict something as 50% likely, you’ll have an error of 0.5 no matter what. The further you predict from the center of the distribution, the more chance you have to reduce your error.
Of course, that only works if you get it right. If you simply randomly predicted either 5% or 95% chances without any information about the teams involved, you’d do just as poorly as predicting 50% for everything. Making extreme picks when you have information that suggests they’re likely to be right is the name of the game. Read the rest of this entry »