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Archive for the ‘Statistical Analysis’ Category

Springboard Effect: Does a Good Exhibition Record Translate to the Regular Season?

Posted in Baseball, Baseball History, MLB, Spring Training, Statistical Analysis, Yankees, tagged on March 30, 2012 | 6 Comments »

Break up the Toronto Blue Jays! Entering play today, Jose Bautista and company have been tearing up the Grapefruit League, compiling an impressive 22-4 record, which represents the highest spring winning percentage since 1984 (excludes the abbreviated 1990 exhibition schedule). If the Blue Jays maintain their above .800 winning percentage, they’ll join the 1997 Marlins [...]

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Examining David Ortiz’ Historic Strikeout Rate Decline

Posted in Baseball, MLB, Red Sox, Statistical Analysis, tagged on March 28, 2012 | 5 Comments »

ESPN’s Dave Schoenfield, custodian of the SweetSpot blog, recently pointed out a remarkable statistic: in exactly one fewer plate appearance, David Ortiz struck out 62 fewer times in 2011 than 2010. Incredibly, there is very little precedent for such a decline. Besides Ortiz, only one other player in baseball history struck out 62 fewer times in consecutive 500 [...]

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Do Spring Training Stats Matter After All?

Posted in Baseball, MLB, Spring Training, Statistical Analysis, Yankees, tagged on March 27, 2012 | Leave a Comment »

Spring training stats mean nothing. At least that’s what most people seem to think. However, a recent correlation analysis published by Fangraphs.com suggests otherwise. In particular, the fangraphs’ study concluded that walk and strikeout rates in the spring (both good and bad) may foreshadow performance during the regular season, which isn’t exactly a revolutionary conclusion. [...]

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An Offensive Look at the Defensive Spectrum Through a Yankee Prism

Posted in Baseball, MLB, Statistical Analysis, Yankees, tagged on February 15, 2012 | 2 Comments »

In a recent post, Baseball Prospectus’ Jay Jaffe shed some light on offensive contributions across the defensive spectrum, which, for those unfamiliar with the concept, is the sequential ordering of each position based on how difficult it is to play (from easiest to hardest: DH, 1B, LF, RF, 3B, CF, 2B, SS, C). In addition, [...]

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Prime Time: When Does A Player’s Career Reach Its Peak?

Posted in Baseball, MLB, Statistical Analysis, tagged , on February 11, 2012 | Leave a Comment »

(The following was originally published at SB*Nation’s Pinstripe Alley) When does a baseball player’s prime begin and end? That question, which has been hotly debated for a long time, recently prompted columnist Joe Posnanski to put down his pen in favor of a bar graph that contradicted the growing conventional wisdom that the prime years of a player’s [...]

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Two Strikes and You’re Out?

Posted in Alex Rodriguez, Arod, Baseball, MLB, Red Sox, sabermetrics, Statistical Analysis, Yankees on February 7, 2012 | 1 Comment »

Patience at the plate is about more than just drawing walks. It also incorporates a hitter’s ability to work himself into a favorable count. When ahead, major league hitters batted .299 with a .494 slugging percentage in 2011, but when they fell into a hole, those rates plummeted to .206 and .304, respectively. That’s why [...]

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On Location: A Look at Which Yankees Use the Whole Field

Posted in Alex Rodriguez, Arod, Baseball, MLB, Statistical Analysis, Yankees, tagged , on February 4, 2012 | Leave a Comment »

(The following was originally published at SB*Nation’s Pinstripe Alley) Earlier in the week, Mark Teixeira raised some eyebrows by suggesting he may start dropping down an occasional bunt when the infield is shifted against him. In the right situation, such a strategy could be productive, but for the most part, Teixeira’s locational splits suggest the slugger would be better off [...]

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