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Royals Communnity Playing Time Forecasts

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Not sure if this link has been posted here or not, but either way, Tom Tango, who has done so much for the serious baseball fan community on the internet, wants your help projecting playing time for every MLB team. This is separate from the FanGraphs Fan Projections, this is just playing time. Please go fill this out -- it took me less than 5 minutes.

Tom Tango Needs Your Help - 2010 Fan Projection Surveys for Playing Time

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Take five minutes and tell Tom Tango how much playing time you think each of our beloved Mariners will get. It's a nice little way of saying "thank you" to Tango, who, as Dave said, invented half the cool stuff at FanGraphs and, as a consultant to the M's, helped create our new statistical analysis office. For some extra motivation, Royals Review is beating us 20-1 in submitted surveys right now. This will not stand.

The Most Wonderful Time of the Year: The 2009 Fans' Scouting Report is Here

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Everyone who watches lots of baseball games should participate. It's something that helps all of us out, and also allows you to register your own scouting opinion on the defensive abilities of the players on the teams you watch the most. This is especially important for those of you who don't "trust" defensive stats. As Tango puts it: And, most importantly, do not, absolutely do not, look at any numbers. Don't look at his fielding percentage, range factor, zone rating, UZR, or anything else that someone else is telling you. I just want you to rely on your eyes. You are the scout. I need you to rely completely on your own observations. We know the fans know what they are talking about. We know they know how to observe good and bad fielding. Now, I just want to know what the fans know. And, hopefully, so do you. So remember to read the instructions carefully and go show those nerds just how Yuniesky Betancourt's awesomeness just can't be evaluated by defensive stats!

Lousy Lineup Optimizer: Pittsburgh Pirates

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An optimized batting order only gains a team 5 to 15 runs a year, but to buy those marginal runs on the current free agent market usually costs a team from two to seven million dollars. This is the...

Lousy Lineup Optimizer: San Diego Padres

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An optimized batting order only gains a team 5 to 15 runs a year, but to buy those marginal runs on the current free agent market usually costs a team from two to seven million dollars. This is the...

Lousy Lineup Optimizer: Kansas City Royals

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An optimized batting order only gains a team 5 to 15 runs a year, but the teams with some the worst offenses in baseball need all the help the can get. This is the first post in an occasional...

Optimizing Your Lineup By The Book

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Finding the ideal batting order is overrated, but if you're going to do it, do it right. BtB shows how, from the leadoff hitter down through the number nine hitter (who shouldn't be the pitcher).

Introducing: Batting Assists and Batting Blocks

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It’s very simple: record the number of times that a batter moved a runner over who will eventually score, but that he did not get credit for an RBI. The leader in 2008 is: Justin Morneau, with 73 Batting Assists. (Can you guys think of a better name?) There were 65 runners that he moved into scoring position (by hit or out) that scored in a subsequent at bat. And there were 8 runners that scored while he was batting (by out), of which he did not get an RBI. How about if a batter does NOT advance a runner even one base (or worse, gets him doubled off)? The MLB leader in 2008 was: Jeff Francoeur with 319 runners who were blocked. I’ll call these Batting Blocks. Finally, the leaders in the ratio between Batting Assists to Batting Blocks is: Joe Mauer. The league average ratio is 1 assist per 5 blocks. Mauer had 69 assists and 170 blocks. In "Linear Weights speak", he was +29, followed by Ichiro and Carlos Guillen at +22. On the bottom side, we have Francoeur and Corey Hart at -21. Since 1993: the leader is Barry Bonds at +258 and Derek Jeter at +231. At the bottom of the pile is Tony Batista at -128.

What I Hate About Line Drives

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Brian Cartwright at Fangraphs does an introductory analysis of LD% and how it relates to BABIP. Many analysts use LD% + .120 to determine simple eBABIP and to see if a player is "under expectation." Personally, I use best fit lines from historical data, but I'm researching other methods as well. But I digress. Check out this article for some interesting research, and Tom Tango's short take over at his blog. WTF TANGO IS A CONSULTANT FOR THE MARINERS ASDASFDSGSDGSDFSD

The Mariners have hired Tom Tango as a consultant to assist them in pushing forward their...

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The Mariners have hired Tom Tango as a consultant to assist them in pushing forward their advancement into the 21st century of statistical analysis. If you’ve been reading [USSMariner] for a while, you know who Tango is - we’ve learned/borrowed heavily from his work over the years, and he’s stopped by to comment once in a while as well. I think it’s fair to say that, right now, Tom is the leading analyst of the day in public advancement of statistical analysis. If you wanted to know what the best practice for current analysis is, you wouldn’t go to Bill James or Nate Silver, you’d go to Tom Tango. He’s the gold standard of analysts publishing their work, and he’s made significant strides in pushing forward the understanding of baseball through his writings. Seriously, if you had given me a magic lamp before the new GM search began and said "you get three wishes", one of them would have been "Let the new GM hire Tango".

USSMariner - I haven't seen Tom mention this at his blog, but I'll keep my eye out
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