Archive for Angels

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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The Two Things Chris Iannetta Represents

Let’s cover some old ground, and let’s cover some new ground. Chris Iannetta is going to catch pretty often for the Mariners. The previous four years, he caught pretty often for the Angels. Last year, offensively speaking, was mostly bad. Yet last year, defensively speaking, was mostly good. I wrote in April about how there were signs Iannetta had gotten significantly better in terms of framing pitches, and though I didn’t later re-visit that, I guess I didn’t need to — John Dewan just highlighted Iannetta in a post entitled “The Most Improved Pitch Framers.” The early indications held up; between 2014 and 2015, Iannetta took a leap forward.

Iannetta now is all aboard the framing train, and there seems to be a pretty simple explanation for his improvement. In short: he didn’t realize he was doing anything wrong, and then all of a sudden he learned what to change. Inspired in part by this Tangotiger post, I think it’s worth discussing two things that Iannetta’s step forward means.

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MLB Farm Systems Ranked by Surplus WAR

You smell that? It’s baseball’s prospect-list season. The fresh top-100 lists — populated by new names as well as old ones — seem to be popping up each day. With the individual rankings coming out, some organization rankings are becoming available, as well. I have always regarded the organizational rankings as subjective — and, as a result, not 100% useful. Utilizing the methodology I introduced in my article on prospect evaluation from this year’s Hardball Times Annual, however, it’s possible to calculate a total value for every team’s farm system and remove the biases of subjectivity. In what follows, I’ve used that same process to rank all 30 of baseball’s farm systems by the surplus WAR they should generate.

I provide a detailed explanation of my methodology in the Annual article. To summarize it briefly, however, what I’ve done is to identify WAR equivalencies for the scouting grades produced by Baseball America in their annual Prospect Handbook. The grade-to-WAR conversion appears as follows.

Prospect Grade to WAR Conversion
Prospect Grade Total WAR Surplus WAR
80 25.0 18.5
75 18.0 13.0
70 11.0 9.0
65 8.5 6.0
60 4.7 3.0
55 2.5 1.5
50 1.1 0.5
45 0.4 0.0

To create the overall totals for this post, I used each team’s top-30 rankings per the most recent edition of Baseball America’ Prospect Handbook. Also accounting for those trades which have occurred since the BA rankings were locked down, I counted the number of 50 or higher-graded prospects (i.e. the sort which provide surplus value) in each system. The results follows.
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2016 ZiPS Projections – Los Angeles Angels

After having typically appeared in the very hallowed pages of Baseball Think Factory, Dan Szymborski’s ZiPS projections have been released at FanGraphs the past couple years. The exercise continues this offseason. Below are the projections for the Los Angeles Angels. Szymborski can be found at ESPN and on Twitter at @DSzymborski.

Other Projections: Arizona / Atlanta / Baltimore / Boston / Chicago AL / Chicago NL / Cincinnati / Cleveland / Colorado / Detroit / Houston / Kansas City / Los Angeles NL / Minnesota / New York AL / New York NL / Oakland / Philadelphia / Pittsburgh / St. Louis / San Diego / San Francisco / Seattle / Texas / Toronto / Washington.

Batters
For how much of an outlier it is, Mike Trout’s projection (688 PA, 9.3 zWAR) represents probably one of the easiest to calculate on the back of an envelope. In each of his first four seasons, he’s produced about five or six wins above average by way of his bat, added another half-win or so by means of base running, and recorded slightly above-average defensive numbers. Add in a little more than two wins’ worth of replacement value and the result is an 8.0-9.0 WAR forecast. Whatever influence there might be from regression is likely offset by a combination of Trout’s youth and the nearly 3,000 plate-appearance sample over which he’s established this level of play. The calculus is a strange combination of simple and impossible, not unlike Trout himself.

A team composed of all exactly replacement-level players and also Mike Trout would record roughly 57 wins over the course of a season — meaning the Angels, as a group, need to augment Trout’s contribution with about 30 wins of their own in order to qualify for the postseason in some fashion. Kole Calhoun (604 PA, 2.7 zWAR) and the newly acquired Andrelton Simmons (590 PA, 3.7 zWAR) would appear to be useful in that endeavor. Depending on the health of his foot, Albert Pujols (602 PA, 2.7 zWAR) might also be, as well. After those four players, however, finding even an average projection among the club’s hitters is difficult.

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