Archive for Dodgers

Kenta Maeda: One Month In

Major League Baseball has taken steps toward becoming a truly global game in recent years. Cuban players have joined their Venezuelan, Dominican and other Latin American counterparts in making a significant impact on today’s game, and talent from the Far East, particularly from the Japanese and Korean Leagues, has made its presence felt as well.

This year’s most heralded Japanese rookie is Kenta Maeda, who signed a long-term deal with the Dodgers this past offseason. After concerns were raised following a medical examination, he signed a deal that was heavily discounted from the originally negotiated terms, paying him $25 million over an eight-year period. This put the Dodgers in a fantastic position: a low-risk, potentially high-reward scenario. One month in, the Dodgers simply have to be thrilled as Maeda’s posted a 3-1, 1.41 mark with a 28/6 strikeout-to-walk ratio in 32 innings.

Sure, the season remains young, and the sample sizes are small, but it’s not too early to form some early hypotheses regarding whether Maeda is for real. Today, let’s use granular batted-ball data, examining his plate-appearance frequency and production by BIP type data, to see how Maeda is getting it done, and whether we can expect his success to continue moving forward. Read the rest of this entry »


Urias and De Leon Look Close to the Big Leagues

Heading into the season, there were a lot of question marks about the Dodgers rotation, but so far, the team’s struggling offense and bullpen have received a big boost from a pitching staff led by Clayton Kershaw and Kenta Maeda; their starters currently rank fifth in WAR. Ross Stripling has been a nice early surprise for the team, and while Alex Wood’s ERA remains too high, his underlying metrics suggest that he still can help the team. Scott Kazmir’s struggles are perhaps most worrisome, but if he can stop giving up home runs, he should be serviceable as well.

And if any of the big leaguers falter, there is help on the way. In the minors, Jose De Leon made his first start of the 2016 season on Tuesday, the delay being partly due to a minor ankle injury and also the product of an effort to keep his innings low in the early going. When de Leon’s debut came the day before Julio Urias’ most recent start, I decided to watch both via MILB.tv.

Read the rest of this entry »


Kenta Maeda’s Slider and the Chase for Valenzuela’s Record

We’re left to wonder how players who have established careers in international leagues will fare when they first reach the major leagues: some never find the same level of production they had overseas, others endure a tough adjustment period, and a precious few immediately take to their new surroundings. From what we’ve seen of Kenta Maeda so far, he appears as if he could be a member of that final group: with only one earned run conceded in 19.0 innings over his first three starts of 2016, Maeda has been every bit of the solid #2/#3 starter the Dodgers envisioned slotting behind Clayton Kershaw. Maeda is also quietly echoing the success of another rookie Dodger starter who came before him, one whose consecutive string of successes to start the season led to the receipt both of the Rookie of the Year and Cy Young awards in the same season — and caused a sea change in Dodgers’ fandom while doing it.

There are a few interesting trends that have been driving Maeda’s success in this young season. While he’s posting a slightly depressed BABIP (.250) compared to league average, his batted-ball profile so far suggests that might not be a fluke: his line-drive rate is in the top 25 of starters with at least 10 innings pitched, and he’s posted above-average ground-ball and infield-fly rates. The 100% strand rate won’t stick, and the 5.9% HR/FB rate likely won’t either, but there’s at least some encouraging signal in this noise. We already had an idea that Maeda’s walk rate was going to be better than average, and he hasn’t disappointed in that respect, issuing free passes to just 5.5% of batters faced.

It’s Maeda’s unique approach that warrants the most attention, however. Last December, our own Eno Sarris tried to find a comp for Maeda, and he included this snippet in his breakdown:

Maeda’s best secondary is a slider, and his next-best is probably also his slider (he varies the velocity and shape). Against righties this year [2015], Maeda was almost 95% fastball/slider according to some observers.

In 2016, Maeda has lived up to that billing. He’s thrown his slider almost 30% of the time overall, and against righties, the mark is 41.2%. He can alternate between a 79 mph offering with increased vertical movement, like this:

Read the rest of this entry »


MLB’s Most Cost-Effective Rotations

Building a rotation is a difficult task for any organization. Drafting and developing prospects takes time and patience and often yields little in the way of results. Free agency is incredibly expensive not merely for proven pitchers, but unproven and mediocre ones, as well. Trades mean giving up talent and making sacrifices for the future. There is not a best way to build a rotation, but some teams have more limitations than others financially and the most efficient way to build a rotation includes young, cost-controlled starters. Ideally, a team would want the best rotation at the least possible expense. It’s a difficult task, but the New York Mets (to name one team) appear to have accomplished it.

A few weeks ago, FanGraphs previewed the 2016 by using the Depth Chart Projections found here to rank the teams by position. While the exercise itself is most useful for creating context around the projections — and to highlight individual players and teams — the foundation for the whole endeavor is the projections themselves. While often a very small difference exists between certain teams in terms of wins, it’s also true that two equally productive starting rotations, for example, can have very different costs (in dollars). That has an effect on how the corresponding teams can distribute salary throughout the rest of their respective rosters.

Read the rest of this entry »


We Might Already Have the Season’s Worst Called Ball

From time to time, every year, I like to look at bad called strikes and bad called balls. The availability of PITCHf/x information makes this fairly easy, and, when isn’t it fun to examine the extraordinary? The point generally isn’t to rip on a given home-plate umpire. It’s more about trying to figure out why what happened happened. What has to take place for a ball to get called a strike? On the flip side, what has to take place for a strike to get called a ball?

This is the post about last year’s worst called ball, as determined by distance from the center of the strike zone. The pitch was thrown by Jeff Samardzija, and it missed the very middle by 1.2 inches. Still, while it was down the pipe, it was ruled in the hitter’s favor. A distance of 1.2 inches is a very small distance, so you can see why that was extreme. Now skip to 2016! This season is only barely underway. They’ve played less than four percent of the games, but we might’ve already seen the worst called ball. A pitch was ruled a ball even though it was to about the same spot as Samardzija’s, and the pitch was thrown just last Saturday by Clayton Kershaw.

Read the rest of this entry »


The History of Madison Bumgarner vs. Clayton Kershaw

So you want the designated hitter in the National League, eh? Well, you’re going to have to talk it over with this guy first:

madison-bumgarner-ftr-gettyjpg_155j9bewlw8351sfz9t8uzi4e7

Jokes aside, I’m not even sure Madison Bumgarner would mind if the designated hitter took over. It doesn’t seem like he particularly enjoys hitting. He doesn’t work on it in the cages or in batting practice and he wasn’t exactly champing at the bit to come off the bench as a pinch-hitter, as one might expect other #PitchersWhoRake would. And it would allow him to put more of his energy into what he actually does enjoy doing: pitching.

Bumgarner enjoys pitching, and we enjoy watching him pitch, but whether he enjoys hitting or not, we enjoy watching him to do that, too. Bumgarner’s actually a good hitter, and not your typical “good hitter for a pitcher.” No, he’s actually a good hitter. His career 47 wRC+ might lead you to believe otherwise, but between 2013 and -14, he seemed to flip a switch, and since then, he’s been the best-hitting pitcher in baseball. Consider:

That seems good.

There’s a reason I’m writing about Bumgarner as a hitter right now. This didn’t just come out of the blue. The reason is that, over the weekend, Madison Bumgarner faced Clayton Kershaw, undeniably the best pitcher on the planet, and Madison Bumgarner did this:

Read the rest of this entry »


Building a Record-Breaking Strikeout Rotation

A few weeks ago, I ventured into the topic of whether the 2016 Cleveland Indians’ starting rotation had a chance at breaking the league-adjusted team strikeout rate record held by the 1990 Mets. Those Mets (comprising a front four of Dwight Gooden, David Cone, Frank Viola, and Sid Fernandez) struck out 47% more batters than a 1990 league-average rotation. That was ridiculously good in 1990, and today, it’d be even more incredible were a team able to do it, given the increase in strikeouts league-wide and the expectation that there probably is a ceiling to the strikeout trend. (Because there has to be, right?)

The reason we focused on Cleveland was simple: they almost reached the level of those Mets for a few months in the beginning of the 2015 season. In April and May, they were striking out around 27% of the batters they faced, a mark which nearly approximated the sort of video-game numbers required to match the league-adjusted total of the 1990 Mets. Though they finished first in baseball by striking out 24.2% of batters (which was also the highest strikeout rate for a starting rotation in baseball history), they finished only 41st-best in terms of yearly league-adjusted K rate. Ho-hum. The conclusion of that previous article was, unsurprisingly, that Cleveland would have to outperform their expectations by a sizeable amount to have a chance at the 1990 Mets.

But one of you astute, noble readers was not entirely satisfied with that rational answer. Instead, phoenix2042 challenged us by putting forth a question: what would a starting rotation that could beat that record look like in the modern game? Which 2016 personnel would a team require in order to best a strikeout rate that’s 47% better than the league average? Well, phoenix2042 — and the rest of you wondering readers — this piece aims to answer that question. We will build rotations worthy of a video game, and they will best the 1990 Mets.

First, as before, let’s look at what rotation-wide strikeout rates would be required to break the record in this coming season. I’ve taken the average yearly increase in rotation strikeout rate for each league: over the past 30 years, strikeout rates for starting rotations have increased by about 0.2% per year, on average, and at a slightly higher rate in the past 10 years. Averaging this trend, I calculated the so-called “holy grail” strikeout rate of just over the 1990 Mets (i.e. >47% above league average):

Team Strikeout Rates Needed to Beat 1990 Mets (Est.)
2016 Projected League Average (Est.) “Holy Grail” Team Strikeout Rate (Est.) K%+
American League 19.5% 28.8% 148
National League 20.3% 30.0% 148
SOURCE: FanGraphs

Read the rest of this entry »


Welcome Back, Alex Wood

I don’t normally like to re-visit post topics, especially within the same month, but I’m doing this for two reasons. For one, now we have some data. And for two, the Dodgers have been plagued by bad news for much of spring training, so it’s worth spreading a little optimism. Players have been slowed by injuries left and right, but Alex Wood looks like he could be poised for a major rebound season.

This is what I wrote on March 3. The talk back then was about how Wood spent the offseason trying to correct his mechanics, which started slipping from normalcy somewhere around the end of 2014. It didn’t help when Wood later hurt his foot, which caused further mechanical inconsistency as he worked through the ache, but mainly, Wood wanted to get his arm slot back to where it had been. He was never one to pitch over the top, but as his performance declined, Wood’s left arm dropped lower and lower.

About that! In early March, we had Wood’s words. Now that it’s later March, we have Wood on the mound.

Read the rest of this entry »


The Teams With the Most Dead Money in MLB

There is an inherent optimism when contracts are signed. The Cleveland Indians believed they were putting themselves over the top three years ago when they signed Nick Swisher and Michael Bourn to four-year deals. The team did not get the production they were hoping for, and after making the Wild Card their first year with the team in 2013, the team has won fewer games the last two seasons, and the Indians agreed to pay money to the Atlanta Braves to get rid of Bourn and Swisher while taking on the contract of Chris Johnson, who they have also jettisoned. As a result, the Indians have a larger percentage of their payroll going to players not playing for them in 2016 than any other Major League Baseball team.

The Indians might have the largest percentage of their payroll devoted to dead money, but they do not have the largest amount in total. The two franchises from Los Angeles both best the Indians. Thirteen of the 30 MLB teams have money going to players not currently on their 40-man roster. The graph below shows those 13 teams, with data collected from Cot’s Contracts.

DEAD MONEY ON MLB PAYROLLS

Read the rest of this entry »


KATOH Projects: Los Angeles Dodgers Prospects

Previous editions: Baltimore / Boston / Chicago AL / Chicago NL / Cincinnati  / Cleveland / Colorado / Detroit / Houston / Kansas City / Los Angeles (AL) / Miami / Minnesota / Milwaukee / New York (NL)

Yesterday, lead prospect analyst Dan Farnsworth published his excellently in-depth prospect list for the Los Angeles Dodgers. In this companion piece, I look at that same LA farm system through the lens of my recently refined KATOH projection system. The Dodgers have the third best farm system according to KATOH, trailing only the Brewers and Astros. They have the most projected pitching WAR and the most WAR coming from 3.5+ WAR players.

There’s way more to prospect evaluation than just the stats, so if you haven’t already, I highly recommend you read Dan’s piece in addition to this one. KATOH has no idea how hard a pitcher throws, how good a hitter’s bat speed is, or what a player’s makeup is like. So it’s liable to miss big on players whose tools don’t line up with their performances. However, when paired with more scouting-based analyses, KATOH’s objectivity can be useful in identifying talented players who might be overlooked by the industry consensus or highly-touted prospects who might be over-hyped.

Below, I’ve grouped prospects into three groups: those who are forecast for two or more wins through their first six major-league seasons, those who receive a projection between 1.0 and 2.0 WAR though their first six seasons, and then any residual players who received Future Value (FV) grades of 45 or higher from Dan. Note that I generated forecasts only for players who accrued at least 200 plate appearances or batters faced last season. Also note that the projections for players over a relatively small sample are less reliable, especially when those samples came in the low minors.

1. Corey Seager, SS (Profile)

KATOH Projection: 12.3 WAR
Dan’s Grade: 65 FV

Seager showed what he’s capable of last September when he slashed .337/.425/.561 with the Dodgers. Prior to that, he hit a strong .278/.332/.451 in Triple-A. Seager’s 2015 numbers weren’t particularly gaudy, but he did manage to cut down on his strikeout rate, which was previously the one flaw in an otherwise promising stat line. Shortstops who hit that well at such a young age are few and far between. That’s why Seager has the chance to be a special player.

Corey Seager’s Mahalanobis Comps
Rank Name Proj. WAR Actual WAR
1 Chipper Jones 14.9 33.3
2 Aramis Ramirez 14.4 17.1
3 D’Angelo Jimenez 11.5 7.4
4 Omar Infante 13.2 6.5
5 Jimmy Rollins 12.0 25.6
6 B.J. Upton 16.8 22.4
7 Derek Jeter 11.8 32.9
8 Dustin Pedroia 8.7 30.1
9 Jose Offerman 12.9 7.3
10 Andy Marte 9.3 0.3

Read the rest of this entry »