Let’s Find Rusney Castillo a New Home

Well, the Rusney Castillo era in Boston appears to be over before it ever really began. Signed to a six year, $72 million contract back in August of 2014, Castillo didn’t impress in his rookie season, and now, he appears to not have a job in Boston.

With Chris Young around as an obvious platoon partner for Holt, the decision to start Holt in left field leaves Castillo without a path to any real playing time, as Mookie Betts and Jackie Bradley are both very good defenders in their own right, and so the team won’t even be in need of a late-game defensive replacement. And with Andrew Benintendi looking like the team’s left fielder of the future, this was going to be Castillo’s shot at holding down a regular job; he’s unlikely to ever get another real crack at it in Boston now, barring an unforeseen injury.

So it’s probably time Castillo to get a change of scenery. The Red Sox don’t need a $10 million fifth outfielder, Castillo won’t benefit from sitting on the bench, and while he has minor league options remaining, sending him to Triple-A apparently isn’t in the plans.

That leaves a trade as the obvious solution, though Castillo’s contract — he’s due $56 million over the next five years — will be an obstacle for teams pushing up against their budgetary constraints. The Red Sox will likely have to eat some of the money or take back an overpriced contract to offset the money, but that should be doable. So with that said, let’s look at the best options to find Castillo a new home before Opening Day.

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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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Joey Rickard Is Changing the Orioles’ Plans

I’m an optimistic player evaluator, and I recognize that. I try to see the good in what players can do, so I liked the Orioles’ idea of signing Hyun-soo Kim out of Korea. Now, Kim has not had a good spring training to this point, so he hasn’t made the best first impression. He also probably hasn’t made his last impression, but I certainly wasn’t expecting to see this headline from Ken Rosenthal:

kim-korea

This is something the Orioles have done before. A headline on Orioles.com says the team dismissed the report, but this post from Eduardo A. Encina makes it sound like Kim is indeed on the outside looking in. The Orioles might at least try to send Kim to the minors. In part, that’s because Kim hasn’t looked good, and he was hitless through his first 23 at-bats. Kim has to know he hasn’t yet been impressive. But there’s another factor — a surprising one — and that factor goes by the name of Joey Rickard. Rickard came to camp just hoping to make the roster, but based on the circumstances, he might become an outfield starter.

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2016 Positional Power Rankings: Relief Pitchers (#16-30)


We continue the 2016 Positional Power Rankings — finish them, in fact — by looking at the sometimes difficult-to-project bullpens of each of the 30 major-league franchises. Here, in this article, we will examine the bottom half of baseball’s relief-pitching corps, with Craig Edwards handling the better half of the bullpen marriage. If this is your first go around, here’s an introduction to help you out. Now here’s a graphic detailing where each of the bullpens stand:

RP_PPR

Some really good teams on that graph. Some not-so-good teams on that graph. We turn our attention to the not-so-good ones, who, even though they may have vastly improved (hey, Rockies!), still find themselves performing the metaphorical mop-up duties of the 2016 bullpen power rankings.

Onto the relievers!

#16 Rockies


Name IP K/9 BB/9 HR/9 BABIP LOB% ERA FIP WAR
Jake McGee 65.0 10.3 2.8 0.9 .310 76.8 % 3.15 3.14 1.5
Jason Motte 65.0 7.3 2.6 1.3 .307 72.5 % 4.33 4.33 0.2
Chad Qualls 55.0 7.5 2.1 0.9 .314 71.5 % 3.78 3.56 0.7
Justin Miller 55.0 8.7 3.2 1.0 .309 72.9 % 3.87 3.85 0.4
Boone Logan 45.0 9.9 3.6 1.0 .319 72.9 % 3.91 3.73 0.3
Miguel Castro 40.0 8.3 3.9 1.0 .315 71.3 % 4.38 4.19 0.1
Chris Rusin   35.0 5.4 2.6 1.2 .316 69.0 % 4.81 4.62 0.0
Jason Gurka 30.0 7.3 3.1 1.0 .312 71.2 % 4.27 4.19 0.0
Christian Bergman 25.0 5.3 2.1 1.5 .312 68.4 % 5.10 4.95 -0.1
Scott Oberg 20.0 7.5 4.0 1.1 .309 71.2 % 4.46 4.51 0.0
Adam Ottavino   15.0 9.5 3.1 0.9 .312 74.3 % 3.51 3.51 0.0
Jeff Hoffman 10.0 6.9 3.3 1.2 .312 71.2 % 4.57 4.57 0.0
Carlos Estevez 10.0 8.2 3.1 1.1 .314 71.8 % 4.13 4.01 0.0
The Others 55.0 8.2 4.0 1.2 .322 69.5 % 4.73 4.50 0.0
Total 525.0 8.1 3.0 1.1 .313 71.9 % 4.13 4.03 3.0

What a difference a year makes! Last March, we had this bullpen projected for 0.5 WAR and 28th place. This year, they’ve made it up to 3.0 and 16th. Team sports represent one of the few arenas in which an entity could make so drastic a transformation in one calendar year, and the process, dear readers, was quite simple: fire most everyone and hire new people! It seems primed to work, at least on paper, and before anything has actually happened. That is confidence.

As with anything that happens in relation to pitching half of a season’s games at Coors Field, however, the outcomes of this bullpen could be quite volatile. With a completely revamped back end of Jake McGee, Jason Motte, and Chad Qualls, the Rockies would appear to have three very solid end-of-game options. But that papers over the fact that only one of these pitchers (Qualls) is a solid ground-ball pitcher, and even he has always had his share of home-run issues (career 13.1% HR/FB rate). Even if the batted-ball outcomes might appear slightly scary on the surface in relation to homer-happy Coors Field, the Rockies should at least have a solid bullpen this coming season, and a vastly improved one from 2015.

None of this mentions the hopeful return of Adam Ottavino, one of the darlings of the first month of the 2015 season. Should he return to full health sometime around the All-Star break (he’s just started a throwing program on his way back from Tommy John surgery), he could provide a serious shot in the arm that could elevate the overall production of this bullpen.

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Tyler Duffey on his (More Than) Two-Pitch Repertoire

Tyler Duffey will soon learn if he’ll begin the season in Minnesota or with Triple-A Rochester. The 25-year-old right-hander has been competing with Ricky Nolasco for the final spot in the Twins starting rotation, and that decision is expected to be announced today.

Duffey hasn’t pitched especially well this spring — his ERA is 7.30 — but he was excellent last year in his first taste of big-league action. In 10 starts, the former Rice Owl won five of six decisions and posted a 3.10 ERA and a 3.24 FIP. He did so throwing almost exclusively fastballs (58.1%) and curveballs (39.8%).

He doesn’t view himself as a two-pitch pitcher. Duffey throws both a two- and a four-seam fastball, and his curveball isn’t always the same shape and velocity. He’ll also show hitters a changeup, although the pitch spends more time in his back pocket than anywhere else. Turning it into a more-usable weapon could be the key to his future success.

Duffey talked about his repertoire, and his approach to pitching, earlier this spring.

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Duffey on his arm slot: “In high school, I was almost parallel to the ground, or maybe a little higher than that. I was very low three-quarters. I had a sinking fastball and I threw my same curveball from there, too. Read the rest of this entry »


Effectively Wild Episode 850: 2016 Season Preview Series: Cleveland Indians

Ben and Sam preview the Indians’ season with Pete Beatty, and George talks to MLB.com Indians beat writer Jordan Bastian (at 23:44).


2016 Defensive Visualization

The start of the baseball season is less than a week away, and at FanGraphs we are finishing the Positional Power Rankings and had two interactive visualizations for offensive and pitching projections. All the data we use in these posts comes from our Depth Chart projections. We haven’t shown what teams’ defensives might look like, yet. The Depth Charts have projections for defense, and it’s measured in fielding runs, which are how many runs the player is expected to save his team relative to the average player at his position; every 10 runs roughly equates to a win.

The projection value is dependent on the position, because of this I’ve consolidated the individual projections into team-wide projections for each position.

Improving upon a similar field diagram chart from last year’s Hardball Times season preview piece, I created field diagrams which are mapped to our real time projection data, so it will update over the course of the final week of Spring Training as rosters finalize. The color coding of the fielding runs is now a continuous gradient instead a limited number of colors providing a better visualization of projected fielding runs. Blue represents good defensive positions with positive fielding runs, while red represents negative fielding runs. The gradient is centered around white, so the darker the color the more extreme the impact of that position’s defense is on the team.

Clicking on a team’s field diagram will enlarge it, then you can click on a specific position to see Depth Charts data the data visualization is built on. The diagrams are separated by leagues, which can be changed by click the tab, and then further organized by division.


KATOH Projects: San Francisco Giants Prospects

Previous editions: ArizonaBaltimore / Boston / Chicago AL / Chicago NL / Cincinnati  / Cleveland / Colorado / Detroit / Houston / Kansas City / Los Angeles (AL) / Los Angeles (NL)Miami / Minnesota / Milwaukee / New York (NL) / New York (AL) / Philadelphia / Pittsburgh / San Diego.

Last week, lead prospect analyst Dan Farnsworth published his excellently in-depth prospect list for the San Francisco Giants. In this companion piece, I look at that same San Francisco farm system through the lens of my recently refined KATOH projection system. The Giants have the 26th-best farm system in baseball according to KATOH.

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Job Posting: Sports Info Solutions Research and Development Associate

Position: Sports Info Solutions Research and Development Associate

Location: Coplay, Pa.

Description:

Sports Info Solutions (SIS) is looking for candidates to fill a full-time position in our R&D Department. The R&D Associate will work out of our office near Allentown, PA and will contribute as a member of our R&D team, supporting research for publications and future products.

Responsibilities:

  • Perform modeling and research using SIS’s internal database as well as other notable data sets such as StatCast, Trackman, and PITCHf/x.
  • Write articles and research pieces to be featured in publications such as The Fielding Bible, The Bill James Handbook, ESPN Insider, and Stat of the Week, among other prominent sports outlets.
  • Prepare cutting-edge research for presentation in a professional setting, including sales presentations and conferences.
  • Collaborate with BIS colleagues to help illuminate the value of SIS’s analytical products to prospective clients.

The position requires a variety of skills including (but not limited to) an analytical mind, computer expertise, writing ability, and a passion for sports, particularly baseball and football. Ideal candidates will possess the following qualifications.

Qualifications:

  • Familiarity with contemporary baseball/football/sports analytics, including first-hand research experience.
  • Analytical/Mathematical ability.
  • Experience with MySQL, SQL Server, or similar databases.
  • Proficiency working in Microsoft Office programs (or equivalents), especially Excel.
  • Aptitude for data visualization using programs like Tableau and/or R.
  • An ability to write and communicate effectively with a variety of audiences.
  • An ability to work both collaboratively and independently.
  • Experience with other statistical packages (i.e. R) and programming languages (i.e. Python, .NET) is a plus.

Compensation:
This position is compensated.

To Apply:
For more information or to apply, please submit your résumé and cover letter to careers@baseballinfosolutions.com.


Evaluating the 2016 Prospects: Seattle Mariners

EVALUATING THE PROSPECTS 2016
Angels
Astros
Athletics
Blue Jays
Braves
Brewers
Cardinals
Cubs
Diamondbacks
Dodgers
Giants
Indians
Mariners
Marlins
Mets
Nationals
Orioles
Padres
Phillies
Pirates
Rangers
Rays
Red Sox
Reds
Rockies
Royals
Tigers
Twins
White Sox
Yankees

The Mariners organization won’t be confused for having one of the top farm systems in baseball, but the developments of the past year help bring some legitimate optimism for its future contributions to the big-league product. A number of low- and medium-level trades have bolstered the middle of the pack, with guys like Boog Powell and Nick Wells providing some high-floor, moderate-upside additions to a prospect pool that has seen better years.

On top of that, and maybe most excitingly, the 2015 draft class is already proving to be a kickstart for the organization. Though it’s way too early to anoint a lot of their fresh faces as sure big leaguers, it’s hard to have a better start than what they have put together so far. Drew Jackson and Braden Bishop were both known as excellent defenders, but it was their hitting performances that were the story of the post-draft months. Nick Neidert and Andrew Moore lead a list of 2015 draftees who are quality contenders for at least upper-minors success as pitchers, and both have a reasonable chance of eventually being starters for a major-league team.

The very recent success of the prospect class couldn’t come at a better time, when less recent high draft picks like Alex Jackson and Austin Wilson have seen their stocks plummet in a very short time. Jackson is particularly troubling for me: although you can still see similarities to the hitter he was before being in conversation for a first-overall pick, nearly everything has gone south for him statistically and physically. Though the player development and scouting staffs still have their work cut out for them, new management under Jerry Dipoto promises to at least add some fresh voices to the fold. If you buy into momentum, they have plenty of it heading into the 2016 season and this June’s draft.

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