Archive for Angels

This Is a Garrett Richards Changeup

There’s not a lot of footage out there of Garrett Richards throwing a changeup. This is because he would pretty much never throw a changeup, and this is because doing so never made him feel all that comfortable. So, in the past, Richards wouldn’t throw many changeups, but, below, you can see Richards throw a changeup from just a few weeks ago. As a bonus, I’ll also include an additional changeup, thrown on Tuesday.

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The Crowd: Angels Have Riskiest Roster in Baseball

Last week, I ran a little crowdsourcing project in which I asked you all to assign some made-up risk points – between one and five of them — to each and every roster in the major leagues. It was inspired by a passing comment from my weekly Tuesday chat, and it got me thinking about overall team volatility.

And, perhaps volatility is the word I should’ve used, rather than risk. I asked people to consider factors like average age of the team, proven vs. unproven players, injury risks in key contributors, and organizational depth. But risk implies you’ve got something to lose, and so even though I included a disclaimer that read, “This isn’t about how good or bad a team is. The Braves shouldn’t automatically be more risky than the Cubs just because they’re a worse baseball team. Try and think of each team’s amount of risk in a vacuum, relative to its own general skill level,” I should’ve known that, since the Braves aren’t really risking anything this year, they’d show up with a low risk rating no matter what.

So I probably screwed up my own project with a poor word choice and skewed the results a little bit, but we can still talk about some pretty interesting nuggets of information that came out of the results, and if you’re interested in reading that, well, you’ve come to the right place.

Getting back to that projected performance vs. projected team risk topic, here’s a graph plotting the two against one another:

RiskGraph1

The average risk rating was exactly 3.0. Definitely, worse teams were given lower risk ratings, and better teams were given higher risk ratings. Only three teams projected for a record better than .500 had significantly below-average risk ratings. The six worst projected teams in baseball had risk ratings barely above 2.0.

You see that dot way out on the right, though, and that’s the dot that was at the heart of this whole project. The point was to find the team you all found most risky, and no matter what the results were, there was always going to be a team. That team was the Los Angeles Angels of Anaheim, with a weighted risk rating of 4.3.

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The Best Outfield In Baseball

Early next week, our Positional Power Rankings are going to turn to the pitching staffs. I’m slated to write about the top 15 starting rotations, and if I were to begin writing that piece now, I’d end up discussing how the Dodgers have the best starting rotation in the game. This is a controversial statement, because the Dodgers are built upon fragility, and they’ve already had something like 27 pitchers injured. How could the Dodgers possibly have a better rotation than, say, the Mets? The Mets roll four or five deep. They have three could-be aces. It’s easy to love the Mets; it’s correct to love the Mets. The argument for the Dodgers is that they have plenty of depth, and it’s also — importantly — that they have Clayton Kershaw. Kershaw’s not hurt, and Kershaw is basically two aces in one. No rotation has a better starting point.

I’ll write about that next week. I’ll write about it using many of the same words. When ranking the best groups, I think people have a bias toward even spreads over something more top-heavy. All of this here also functions as a spoiler. The PPR series runs down the rankings at every individual position, but a question a lot of people like to debate is, which team has baseball’s best outfield? We’ve had this conversation before, a year ago or something, when fans would compare and contrast the Marlins and the Pirates. Those remain two very good outfields. Yet based on what we have on FanGraphs, baseball’s best projected outfield for 2016 will play half its games in Anaheim.

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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

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Another Year of the Jered Weaver Experiment

At this point it’s safe to call it a spring tradition: Eyebrows get raised in response to Jered Weaver’s underwhelming velocity, and Weaver tells the media he doesn’t care. There’s nothing wrong with Weaver’s reaction, because he is more of a command pitcher, and he knows he’ll be fine if he locates. I’m sure he’s beyond tired of this repeating conversation. But from the outside, it’s significant that Weaver’s fastball continues to surprise, because it just keeps getting slower, more quickly than it probably ought to. The public is velocity-obsessed, yeah. That doesn’t mean this doesn’t warrant attention:

weaver-league-fastball

The league-average fastball has gotten harder over time. You know that. But while we expect velocity to decline for pitchers as they age, Weaver’s curve has gotten weird. He lost more than a mile between 2011 and 2012. He lost more than a mile again between 2012 and 2013. And then last year, he lost three miles. He lost even more after returning from a DL stint. This isn’t the kind of thing people just shrug off. This is kind of a big deal, whether Weaver wants to admit it or not.

Now there’s another season coming. Weaver is a healthy member of the Angels rotation. The league will probably continue to throw harder, and based on recent historical trends, we might expect its average at about 91.9 mph. As for Weaver? Weaver isn’t going to average that.

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Previewing the Best and Worst Team Defenses for 2016

Early this morning, the full 2016 ZiPS projections went live on the site. This is probably news to many of you. Surprise! Happy ZiPS day. You can now export the full ZiPS spreadsheet from that link, find individual projections on the player pages, and view our live-updating playoff odds, which are powered by a 50/50 blend of ZiPS and Steamer. This is good news for everyone, including us, the authors, because now we have more information with which to work.

And so here’s a post that I did last year, and one which I was waiting for the full ZiPS rollout to do again: previewing the year’s team defenses. It’s been a few years running now that we’ve marveled over speedy outfielders in blue jerseys zooming about the spacious Kauffman Stadium outfield, and now those speedy outfielders in blue jerseys are all World Series champions. People are thinking and talking about defense more than ever, and you don’t think and talk about defense without thinking and talking about the Kansas City Royals. Defense: it’s so hot right now. Defense.

The methodology here is simple. ZiPS considers past defensive performance and mixes in some scouting report information to give an overall “defensive runs above or below average” projection. Steamer does the same, except rather than searching for keywords from real scouting reports, it regresses towards the data from the Fans Scouting Report project compiled by Tangotiger every year. The final number is an average of these two figures, and can be found in the “Fld” section of the depth charts and player pages. It isn’t exactly Ultimate Zone Rating or Defensive Runs Saved, but it’s the same idea, and the same scale.

Let’s look ahead toward the year in defense.

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The Best

1. Kansas City Royals

This is one of my new favorite fun facts: the Royals outfield defense, just the outfield, is projected for 31 runs saved, which is higher than any other entire team in baseball. And with Alex Rios out of the mix in right field and Jarrod Dyson and Paulo Orlando stepping in full-time, Kansas City’s outfield defense should somehow be even better than it’s been in the past.

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KATOH Projects: Los Angeles Angels Prospects

Previous editions: Baltimore / Boston / Chicago AL / Chicago NL / Cincinnati  / Cleveland / Colorado / Detroit / Houston / Kansas City.

Earlier this week, lead prospect analyst Dan Farnsworth published his excellently in-depth prospect list for the Los Angeles Angels of Anaheim. In this companion piece, I look at that same LA farm system through the lens of my recently refined KATOH projection system. The Angels have the second worst farm system according to KATOH, edging out only the Marlins.

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The Next Item on Mike Trout’s To-Do List

It’s not that anything more needs to be done. It’s not like Mike Trout desperately needed to fix the hole in his swing, lest he be in danger of suffering a complete collapse. Things were going just fine. That hole in Mike Trout’s swing, the one that kept him from hitting high fastballs, is like the Pablo Honey record in Radiohead’s discography. Would everything be better if it were just gone? I mean, yeah, technically. But the discography, as a whole, is still essentially flawless even with Pablo Honey, so we can all live with it.

Mike Trout went and deleted Pablo Honey anyway. It wasn’t necessary for survival, but everyone knew it was a problem, and everyone knew we’d be better off without it, so Trout went and fixed the hole in his swing. He started hitting those high fastballs, and no one ever had to hear Creep again and the world was a better place. But, listen. Someone’s gotta get in there and wipe out Fake Plastic Trees, too. Not all of The Bends; the rest of the record can stay. But Fake Plastic Trees has gotta go. Maybe I’m getting greedy, asking for even more tweaks after the big one’s already been made, but it certainly wouldn’t hurt.

This next tweak, it doesn’t have to do with Trout’s swing. For all intents and purposes, that’s about perfect. The high fastball was the only real weakness, and that’s been patched. When pitchers stopped throwing him high, they started throwing him outside, but that didn’t really work. Maybe you’d like to see Trout swing at a first-pitch curveball or two, but that’s a very minor thing, and Trout literally never swinging at first-pitch curveballs might actually be a feature, rather than a bug. Point is: the swing, for now, requires no further adjustments, and I’ve already linked to Jeff Sullivan about a hundred times in this piece. When Trout’s swing requires another adjustment, he’ll let you know.

It was exciting last year, knowing that Trout had this weakness, and knowing that Trout knew about this weakness, and knowing that Trout planned to fix the weakness. He’s never been shy about these things. During Spring Training, he came right out and said it:

“Plain and simple, I was chasing the high pitch. Everybody knows that,” Trout said. “The majority of time, they’re balls, and I was chasing them.”

Usually, us writers have to seek out these adjustments. We’ve got to watch with a close eye, and see if the numbers back it up, and then ask the player about it. In this case, Trout came right out and told us. “Hey, everybody. Makin’ an adjustment here. Free blog content.”

The next item on Trout’s to-do list isn’t exactly a secret, but Trout’s done us the favor of letting us know he’s planning on another adjustment:
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Evaluating the 2016 Prospects: Los Angeles Angels

Other clubs: Astros, Braves, Cubs, Diamondbacks, Indians, OriolesRedsRed Sox, Rockies, Royals, Tigers, White Sox.

Let’s get this out of the way up front: this is not a high-potential system. Joe Gatto sits at the top of these rankings because someone had to. That’s not meant to demean Gatto’s abilities, or anyone else’s in the Angels’ minor league pool, but it’s just a product of owner Arte Moreno’s and upper management’s decisions the last five years. Most of the top talent has been included in trades to bring in less volatile assets at the big league level. A lot of early picks have been given up to sign present-value free agents, and the draft philosophy has been mostly focused on safety rather than upside.

That said, the system isn’t designed terribly to the end of supplementing their strategy for the parent club. They get their stars from outside the organization, and they will be able to fill in the gaps with a lot of role players, upside bench bats and decent pitching depth that this group should be able to provide. So while, in a vacuum, the system may seem like a disappointment, it just puts a little more pressure on the front office to make sound major league signings and hold them over for a few acquisition seasons. Management deserves credit for bringing in some projectable talent in the last couple drafts, with many of them figuring to restock the upper levels of the minor leagues in due time.

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Mike Scioscia on Analytics

Mike Scioscia has a reputation as an old-school manager who has little interest in analytics. He doesn’t want you to believe that. The extent to which you should is subjective. Scioscia certainly isn’t cutting edge — at least not by today’s standards — but he’s by no means a dinosaur. His finger is on the pulse of what’s going on in today’s game, even if he isn’t always pushing the same buttons as his more progressive contemporaries.

On Monday, I had an opportunity to ask the Angels manager for his thoughts on analytics. Here is what Scioscia had to say:

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Scioscia on analytics: “Analytics have been around forever in the game of baseball, from when Connie Mack would use spray charts and move guys around from the dugout, to now. Analytics for projecting player performance have mushroomed over the last five years. Analytics in dugout probabilities have increased. We’ve had data, we’ve had analytics, since I’ve been in the game. And they’ve evolved.

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