Dayan Viciedo was supposed to be good. In retrospect, we probably should have known better. He now finds himself a free agent, and the question is whether or not there is a team for him.

In his initial signing story back in 2008, there is a lot of excitement. It is intimated that the South Siders traded Nick Swisher and Javier Vazquez in order to make room for Viciedo. That seems like a stretch, but we can say that the team did some planning in order to get them there. Just before the chess moves are mentioned, the article also casually mentions — in the seventh paragraph — that the White Sox would like him “drop some weight.” He was already at 246 lbs., and they wanted him to get down to 230.

Despite the risks (like that he swings at everything), which Baseball America noted in their 2009 capsule on him, his debut was hotly anticipated. As Marc Hulet detailed in that September, 2009 piece I just linked to, Viciedo had hype. As a 20-year-old Cuban refugee playing his first ball stateside in Double-A, you can see why. Alas, he didn’t do much in that 2009 season. In 2010 though, he stepped up his slugging, from .391 in Double-A in 2009 to .493 in 2010 in Triple-A. Not a bad jump, and ever since his full-season debut in 2012, he’s been able to bop. Not at an elite level, but at an above-league average level:

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Did you know the Rockies tend to put up big home and road splits? Of course you did. The Rockies are the very most important example of why park effects matter. Also, the most obvious. Over the past decade, the Rockies rank first in baseball in total runs scored at home, by more than 200. Over the same period, the Rockies rank last in baseball in total runs scored away from home, by more than 100. Hitting in Coors is easy! Hitting not in Coors is hard. Or so the Rockies make it look, at least.

Coors Field just does strange things to baseball. It’s not an unsolvable problem, and it might not necessarily be a problem, but, it’s something. Again, over a decade, the Rockies rank 14th in winning percentage at home. Meanwhile, they rank 28th in winning percentage on the road. If you observe the following table, you’ll note that the Rockies are exceptional in this way. They experience either a home-field advantage, a road-field disadvantage, or both.

It’s the Rockies, then the Pirates, some distance away. It’s pretty obvious the Rockies haven’t been as comfortable on the road as they have been in Colorado. Every team plays worse in other places, but the Rockies perform especially so, and because this is so consistent year to year, that causes people to theorize. Everyone wants to figure out why the Rockies have been so lousy away from home. Answer that, and maybe one could find a solution.

I remember reading, many many years ago, about a proposed Coors Field hangover. This was supposed to affect the bats, and the idea was that, upon reaching sea level, Rockies hitters would have to get re-accustomed to seeing pitches break normally. That is, in Colorado, pitches don’t move like they do in other places, and Rockies players get used to that. So when they go on the road, normal movement looks like abnormal movement, and then it takes time to adjust. Time that the Rockies don’t always have. I remember thinking the evidence was pretty compelling. Unfortunately I don’t have a link, but what I do have is a re-examination. I wanted to look at this for myself. Have Rockies hitters just taken a few days to get used to conventional pitching on road trips?

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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 Pittsburgh Pirates. Szymborski can be found at ESPN and on Twitter at @DSzymborski.

Other Projections: Arizona / Atlanta / Baltimore / Boston / Chicago AL / Chicago NL / Cleveland / Colorado / Detroit / Houston / Los Angeles AL / Los Angeles NL / Miami / Milwaukee / Minnesota / New York AL / New York NL / Oakland / San Diego / San Francisco / St. Louis / Seattle / Tampa Bay / Texas / Washington.

Batters
On multiple occasions over the course of Woody Allen’s 1999 film Sweet and Lowdown, jazz guitarist Emmet Ray (played by Sean Penn) announces that he’s the best in the world “except [for] this gypsy in France” (understood to be Django Reinhardt). It’s not particularly daring to suggest that, likewise, Andrew McCutchen is the best non-pitcher in baseball — except for this center fielder in Los Angeles. McCutchen and Mike Trout possess largely similar skill sets; it’s just, in most cases, Trout possesses them a little harder. Even still, McCutchen’s projection (659 PA, 6.3 WAR) is among the best published so far in this series.

Of some interest is ZiPS’ forecast for recent Korean signing Jung-ho Kang (502 PA, 1.5 WAR), which is slightly (although not substantively) less strong than incumbent Jordy Mercer’s projection (504 PA, 1.9 WAR) for 2015. A potential area of concern for Kang appears to be his ability to make contact. To wit: ZiPS projects Pedro Alvarez to post a 30.0% strikeout rate; Kang, a slightly higher 30.5% mark.

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To be honest, this might be a post I’ve already written before. It feels like that sort of thing. But I’ve got pitch-framing on my mind, again, and even if I have done this before, at least now we’ve got more data. Why not revisit something whenever you have more data?

When we talk about framing, so often the focus is on the catchers. This is appropriate because it’s the catchers who are doing the framing — sometimes with a little assistance from other sources. But it’s the pitchers who are actually affected, because it’s the pitchers throwing the balls, and the catchers are involved only after the rest of the play has been carried out. It’s not entirely clear how pitchers are impacted by their receivers. We have estimates, we have some pretty good ideas, but the reality is complex. In this post, I try to examine something simple: What happens when a pitcher goes from better receiving to worse receiving? What happens when a pitcher goes from worse receiving to better receiving? As is literally always the case when I run an investigation, there are better and more thorough ways to do this, but I’m woefully limited by my own lack of ability, and if I don’t have the quick-and-easy stabs, I don’t have anything.

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Ben and Sam talk to FanGraphs Lead Prospect Analyst Kiley McDaniel about Yoan Moncada, Cuban talent, and teams manipulating prospect rankings.

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@based_ball Hey Jeff, because you’re great at this stuff, can you write an article GIFing all of Ben Revere’s outfield assists? It’d be fun!

— David Shemie (@dshemie8) January 28, 2015

Ben Revere has 19 career outfield assists. Please understand what you’re getting into: this post is going to have .gifs, so many .gifs. Probably too many .gifs. It was absolutely too many .gifs for me to try to make in a morning, with a fussy and very particular MLB.tv. Also, many of the .gifs are flat-out bad, either because the streaming was going poorly, or because the play was too long and I had to take some shortcuts. Close this window right now if you’re not into what’s coming. If you haven’t closed the window yet, hi there. These are Ben Revere’s 19 outfield assists.

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On Monday’s edition of the podcast, Dave Cameron and I discussed in some depth his trilogy of posts from last week concerning the intersection within baseball between run-scoring and time of play. The former is trending downward; the latter, upward. The reasons for these twin developments are surely manifold, but one definite influence is greater specialization among relievers. More relief pitchers leads to greater effectivenss on a per-batter basis for those pitchers. It also leads to shorter outings for starters, allowing them to exert themselves more thoroughly and thus prevent runs at a greater rate, as well.

During the course of that discussion, when asked to identify a historical example which might serve to guide hypothetical rule changes by Major League Baseball, Cameron offered the 1985 St. Louis Cardinals as an aspirational model. Before losing the World Series to Kansas City in seven games, the 1985 Cardinals led the National League in runs scored while also hitting the second-fewest home runs. As a club they relied on excellent baserunning and making the most of the contact they did make.

Tom Herr, Willie McGee, Ozzie Smith, and Andy Van Slyke all stole at least 30 bases for that St. Louis club — and all produced above-average batting lines relative to league average despite a dearth of power. Vince Coleman failed to record a league-average batting line and Terry Pendleton stole just 17 bases, but each more or less embodied the Cardinals offensive profile, as well.

“Who,” I thought recently, “who, among the game’s current players, might have best fit on that edition of the Cardinals — and who, in turn, might serve as the model by which any potential rule change ought to be made?”

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Well, this whole James Shields situation sure is bizarre.

Back in October, the FanGraphs Crowd collectively projected that Shields would be the fourth-highest-paid free agent of the winter, in line for something like a 5-year/$90M contract. And now, this week, Tony Blengino took a look around the league, found very few teams who both had available money and a need to add to the top of their rotation, and predicted that Shields would sign with the Giants for 4 years/$75M.

If Tony’s prediction comes to pass, Shields would be leaving more than just $15M on the table. The actual contracts received by other top-flight free agents have well outpaced the Crowd’s projections. Max Scherzer received $210M (or so) over seven years after being projected to receive $168M. Fellow mega-earners Jon Lester ($155M v. $132M), Pablo Sandoval ($95M v. $80M), and Russell Martin ($82M v. $56M) also saw very meaningful increases over their crowdsourced projections.

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Yesterday, FanGraphs facilitated a brief crowdsourcing project with a view towards estimating Cuban defector Yoan Moncada’s signing bonus and other relevant information concerning the 19-year-old infielder.

What follows are the results of that effort followed by analysis courtesy FanGraphs’ lead prospect analyst Kiley McDaniel.

Signing Bonus
Moncada will likely receive the largest bonus ever given to a free agent who’s also subject to Major League Baseball’s international free agent rules. (Note: the figures below do not include the 100% tax to which Moncada’s signing club will be subject.)

Here’s the median figure as projected by the crowd: $45.0 million.

And here’s the average figure: $43.3 million.

And here’s a histogram of all possible outcomes with also a Cuban flag in the background: