If you’re the sort of person who likes to look around minor league statistical leaderboards for under-the-radar performance prospects, the name Francisco Sosa may have emerged on your radar in 2013. Sosa’s 2013 statline has several intriguing numbers: his triple-slash was .315/.397/.529, he clubbed 20 homers and ripped 35 doubles, and he also swiped 30 bases. No other player in the minor leagues attained that combination of doubles, homers, and steals.

Sosa doesn’t really show up on prospect lists, though, for a few reasons. For one, he was a 23-year-old left fielder in Low-A, on the wrong side of the defensive spectrum and well older than most legitimate prospects who have yet to sniff the upper minors. Second, 2013 was the first time in his six-year career that he posted remotely interesting numbers–only twice before had he managed an on-base percentage over .310, and only once had he slugged over .400. Finally, he played in the silliest home park in organized baseball.

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After having typically appeared in the entirely venerable pages of Baseball Think Factory, Dan Szymborski’s ZiPS projections were released at FanGraphs last year. The exercise continues this offseason. Below are the projections for the Colorado Rockies. Szymborski can be found at ESPN and on Twitter at @DSzymborski.

Other Projections: Arizona / Atlanta / Baltimore / Boston / Cincinnati / Cleveland / Detroit / Los Angeles NL / Miami / Minnesota / New York AL / New York NL / Philadelphia / San Diego / Seattle / St. Louis / Tampa Bay.

Batters
Crafting a definitive depth chart for the current edition of the Rockies presents some difficulties. DJ LeMahieu might be the club’s starting second baseman, but also so might Josh Rutledge. Corey Dickerson and Drew Stubbs will probably split starts in left field, but Charlie Blackmon has a chance of making the opening-day roster, as well. Were manager Walt Weiss to rely on ZiPS exclusively, he’d probably choose just Stubbs in the former situation and Rutledge in the latter. The odds of him doing that are low and lowest, however.

Of note regarding Jordan Pacheco: as the attentive reader will note, Pacheco is projected on the tables below as a first baseman (in which capacity he recorded the majority of his starts in 2013) but as a catcher on the depth chart (in which capacity he’s likely to record the majority of his starts in 2014). As a first baseman, his projection is pretty miserable (-1.2 zWAR in 483 PAs), very probably owing to the large negative runs adjustment for that position. Which is to say, projected as a catcher (for which position he’d receive a large positive adjustment, provided his defense there isn’t atrocious), his forecasted value is likely quite a bit higher. Positive, even, maybe.

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If it’s possible to both buy low and sell low simultaneously, then that might be just what the Rockies and Athletics did by swapping 25-year-old lefty starters Drew Pomeranz and Brett Anderson on Tuesday afternoon at the Winter Meetings. (The A’s are reportedly also sending $2 million; Colorado sends 23-year-old righty starting prospect Christopher Jensen, who has has yet to make it out of A-ball and is on no one’s top prospect list.) Read the rest of this entry »

I imagine that, for a front office exec, there’s nothing quite like the buzz you get from picking up another team’s non-tender and getting value from that player. Maybe it’s just ‘one man’s ceiling is another man’s floor,’ but in a business where one sector of the market has to continually work to find value in surprising places, it’s an important moment.

But is there much success to be found in the bargain bin? These are players that their own team has given up on — and we have some evidence that teams know more about their own players than the rest of the league, and that players that are re-signed are more successful. What can we learn from the successes and failures that we’ve seen in the past?

To answer that question, I loaded all the non-tendered players since 2007 into a database and looked at their pre- and post-non-tender numbers.

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When you’re a bad team, you might want to sign good free agents to try to get better. A tricky part is getting those good free agents to want to play for your bad team. Teams don’t get much worse than the current Houston Astros, and according to recent reports, they’ve tried with no success to lure quality players from the market. Thankfully for bad teams, free agency isn’t the only way to improve by addition. Players have to play for you if you trade for them, and later on Tuesday, the Astros picked up Dexter Fowler from the Rockies, at the cost of Jordan Lyles and Brandon Barnes. The Rockies will also send a player to be named later, but I doubt that that will be the interesting part.

Immediately, it seems a bit backwards. Some things we know: at present, the Astros are dreadful, far more dreadful than the Rockies are. Fowler is already getting expensive, and he has two remaining years of team control. Lyles is 23, and he has four. Barnes is 27, and he has five. You’d think it would be the Astros trying to acquire longer-term security, but I think this actually makes more sense for Houston than it does for Colorado. Even if the Astros still aren’t close to contending, it’s never a bad idea to add what you think might be undervalued.

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It’s been rumored for awhile now, but over the Thanksgiving break, the intensity of rumors linking the Colorado Rockies to Justin Morneau increased. But Morneau is not going to improve the Rockies roster any, and with the team facing a budget threshold that will not allow them to spend with the big boys, signing Morneau is simply a mistake that the club can’t afford to make.

For sake of comparison, here’s a blind projection for 2014:
Player A: .279/.327/.476, .346 wOBA, 106 wRC+, 0.8 WAR in 299 PA
Player B: .258/.330/.428, .330 wOBA, 108 wRC+, 0.9 WAR in 518 PA

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This week, the Rockies signed relief pitcher LaTroy Hawkins to bolster the back end of their bullpen. It’s an interesting move on two levels. First, it’s pretty remarkable just how long Hawkins’ career has lasted. Second, it’s another data point that shows that teams are less and less willing to pay big bucks for saves.

When Hawkins suits up for his second go-round with Colorado in 2014, it will be his 20th season in the major leagues. He has thrown at least 20 innings in each season since 1995. That’s pretty ridiculous if you ask me. Digging into the Play Index, I find that he really doesn’t have much company in this regard. Here is the list of the pitchers who have primarily been relievers during their careers and managed to pitch in 20 or more major league seasons:

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The Phillies re-signed Carlos Ruiz to a 3-year, $26 million deal. Also: Brayan Pena and Geovany Soto have locked down their 2014 teams (the Royals Reds and Rangers respectively). And now it appears Jose Molina is in the final stages of returning to St. Pete for another two years of expertly framed and eh, who cares about blocking? pitches.

So where does that leave the catching market? As far as I have seen, the Yankees, Red Sox, Rockies, Angels, Rangers (still), Blue Jays and Twins have all been connected with free agent catchers on MLBTR. Using their handy free agents leaderboards (with a few additions), we can examine the remaining free agent catchers and try our hand at predicting the right fits for each.
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The 2013 season was a banner season for players going on the disabled list. The DL was utilized 2,538 times, which was 17 more than the previous 2008 high. In all, players spent 29,504 days on the DL which is 363 days more than in 2007. Today, I take a quick look at the 2013 DL data and how it compares to previous seasons.

To get the DL data, I used MLB’s Transaction data. After wasting too many hours going through the data by hand, I have the completed dataset available for public consumption.  Enjoy it, along with the DL data from previous seasons. Finally, please let me know of any discrepancies so I can make any corrections.

With the data, it is time to create some graphs. As stated previously, the 2013 season set all-time marks in days lost and stints. Graphically, here is how the data has trended since 2002:

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Earlier this week, I posted about the best bunts of the 2013 regular season according to Win Probability Added. You can read about the basic idea (and its limits) there. Now that we have looked at the best, why not a few of the worst?

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