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Articles Tagged Carl Crawford Return From Injury 

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05-04

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Daily Roundup: Around the League: May 4, 2013
by
Clint Chisam

07-02

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6

Out of Left Field: Williams, Yastrzemski, Nava
by
Matthew Kory

02-20

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19

Prospectus Preview: AL East 2012 Preseason Preview
by
R.J. Anderson and Jason Collette

01-05

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6

Transaction Analysis: NL East Update
by
Christina Kahrl

06-30

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6

Transaction Action: Disorderly Conduct
by
Christina Kahrl

06-23

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14

Transaction Analysis: Moves and Grooves
by
Christina Kahrl

09-28

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11

Transaction Analysis: Regular-Season Wrap-up
by
Christina Kahrl

09-19

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10

UTK Wrap: Extended Rap
by
Will Carroll

09-18

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19

Under The Knife: Down to the Wire
by
Will Carroll

08-14

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Transaction Analysis: AL Moves
by
Christina Kahrl

06-27

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Prospectus Hit List: Further Adventures in Interleague Mayhem
by
Jay Jaffe

07-26

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Transaction Analysis: American League Roundup
by
Christina Kahrl

03-19

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Transaction Analysis: March 13-18, 2007
by
Christina Kahrl

10-16

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Future Shock: Monday Morning Ten-Pack
by
Kevin Goldstein

10-16

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Prospectus Today: LCS, Day Six
by
Joe Sheehan

10-13

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Prospectus Today: LCS, Day Three
by
Joe Sheehan

10-06

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Prospectus Today: Division Series, Day Three
by
Joe Sheehan

08-04

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Transaction Analysis: July 31-August 3
by
Christina Kahrl

06-16

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Transaction Analysis: May 24-June 12, 2005
by
Christina Kahrl

04-12

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Transaction Analysis: March 29-April 4, 2005
by
Christina Kahrl

06-30

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Transaction Analysis: June 25-27
by
Christina Kahrl

04-09

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Transaction Analysis: April 6-8, 2004
by
Christina Kahrl

08-27

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Transaction Analysis: August 19-24
by
Christina Kahrl

04-16

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Testing the Nexus
by
Lee Sinins and Will Carroll

03-18

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Transaction Analysis: March 6-13, 2002
by
Christina Kahrl

12-16

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Transaction Analysis: December 9-December 15, 1999
by
Christina Kahrl

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March 19, 2007 12:00 am

Transaction Analysis: March 13-18, 2007

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Christina Kahrl

Some big-name prospects report to the farm for duty, the Fish search for a flycatcher, and the Nationals take their act off-Broadway in this edition of Transaction Analysis.

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October 16, 2006 12:00 am

Future Shock: Monday Morning Ten-Pack

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Kevin Goldstein

Kevin checks out the newsmakers in the winter leagues.

\nMathematically, leverage is based on the win expectancy work done by Keith Woolner in BP 2005, and is defined as the change in the probability of winning the game from scoring (or allowing) one additional run in the current game situation divided by the change in probability from scoring\n(or allowing) one run at the start of the game.'; xxxpxxxxx1160988517_18 = 'Adjusted Pitcher Wins. Thorn and Palmers method for calculating a starters value in wins. Included for comparison with SNVA. APW values here calculated using runs instead of earned runs.'; xxxpxxxxx1160988517_19 = 'Support Neutral Lineup-adjusted Value Added (SNVA adjusted for the MLVr of batters faced) per game pitched.'; xxxpxxxxx1160988517_20 = 'The number of double play opportunities (defined as less than two outs with runner(s) on first, first and second, or first second and third).'; xxxpxxxxx1160988517_21 = 'The percentage of double play opportunities turned into actual double plays by a pitcher or hitter.'; xxxpxxxxx1160988517_22 = 'Winning percentage. For teams, Win% is determined by dividing wins by games played. For pitchers, Win% is determined by dividing wins by total decisions. '; xxxpxxxxx1160988517_23 = 'Expected winning percentage for the pitcher, based on how often\na pitcher with the same innings pitched and runs allowed in each individual\ngame earned a win or loss historically in the modern era (1972-present).'; xxxpxxxxx1160988517_24 = 'Attrition Rate is the percent chance that a hitters plate appearances or a pitchers opposing batters faced will decrease by at least 50% relative to his Baseline playing time forecast. Although it is generally a good indicator of the risk of injury, Attrition Rate will also capture seasons in which his playing time decreases due to poor performance or managerial decisions. '; xxxpxxxxx1160988517_25 = 'Batting average (hitters) or batting average allowed (pitchers).'; xxxpxxxxx1160988517_26 = 'Average number of pitches per start.'; xxxpxxxxx1160988517_27 = 'Average Pitcher Abuse Points per game started.'; xxxpxxxxx1160988517_28 = 'Singles or singles allowed.'; xxxpxxxxx1160988517_29 = 'Batting average; hits divided by at-bats.'; xxxpxxxxx1160988517_30 = 'Percentage of pitches thrown for balls.'; xxxpxxxxx1160988517_31 = 'The Baseline forecast, although it does not appear here, is a crucial intermediate step in creating a players forecast. The Baseline developed based on the players previous three seasons of performance. Both major league and (translated) minor league performances are considered.

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October 16, 2006 12:00 am

Prospectus Today: LCS, Day Six

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Joe Sheehan

Our servers, like the Cardinals bullpen and the A's, crashed. Only two of those get to come back.

\nMathematically, leverage is based on the win expectancy work done by Keith Woolner in BP 2005, and is defined as the change in the probability of winning the game from scoring (or allowing) one additional run in the current game situation divided by the change in probability from scoring\n(or allowing) one run at the start of the game.'; xxxpxxxxx1161098296_18 = 'Adjusted Pitcher Wins. Thorn and Palmers method for calculating a starters value in wins. Included for comparison with SNVA. APW values here calculated using runs instead of earned runs.'; xxxpxxxxx1161098296_19 = 'Support Neutral Lineup-adjusted Value Added (SNVA adjusted for the MLVr of batters faced) per game pitched.'; xxxpxxxxx1161098296_20 = 'The number of double play opportunities (defined as less than two outs with runner(s) on first, first and second, or first second and third).'; xxxpxxxxx1161098296_21 = 'The percentage of double play opportunities turned into actual double plays by a pitcher or hitter.'; xxxpxxxxx1161098296_22 = 'Winning percentage. For teams, Win% is determined by dividing wins by games played. For pitchers, Win% is determined by dividing wins by total decisions. '; xxxpxxxxx1161098296_23 = 'Expected winning percentage for the pitcher, based on how often\na pitcher with the same innings pitched and runs allowed in each individual\ngame earned a win or loss historically in the modern era (1972-present).'; xxxpxxxxx1161098296_24 = 'Attrition Rate is the percent chance that a hitters plate appearances or a pitchers opposing batters faced will decrease by at least 50% relative to his Baseline playing time forecast. Although it is generally a good indicator of the risk of injury, Attrition Rate will also capture seasons in which his playing time decreases due to poor performance or managerial decisions. '; xxxpxxxxx1161098296_25 = 'Batting average (hitters) or batting average allowed (pitchers).'; xxxpxxxxx1161098296_26 = 'Average number of pitches per start.'; xxxpxxxxx1161098296_27 = 'Average Pitcher Abuse Points per game started.'; xxxpxxxxx1161098296_28 = 'Singles or singles allowed.'; xxxpxxxxx1161098296_29 = 'Batting average; hits divided by at-bats.'; xxxpxxxxx1161098296_30 = 'Percentage of pitches thrown for balls.'; xxxpxxxxx1161098296_31 = 'The Baseline forecast, although it does not appear here, is a crucial intermediate step in creating a players forecast. The Baseline developed based on the players previous three seasons of performance. Both major league and (translated) minor league performances are considered.

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The Mets and Cardinals finally got underway in a game that no player on either team had the biggest effect on.

\nMathematically, leverage is based on the win expectancy work done by Keith Woolner in BP 2005, and is defined as the change in the probability of winning the game from scoring (or allowing) one additional run in the current game situation divided by the change in probability from scoring\n(or allowing) one run at the start of the game.'; xxxpxxxxx1160760884_18 = 'Adjusted Pitcher Wins. Thorn and Palmers method for calculating a starters value in wins. Included for comparison with SNVA. APW values here calculated using runs instead of earned runs.'; xxxpxxxxx1160760884_19 = 'Support Neutral Lineup-adjusted Value Added (SNVA adjusted for the MLVr of batters faced) per game pitched.'; xxxpxxxxx1160760884_20 = 'The number of double play opportunities (defined as less than two outs with runner(s) on first, first and second, or first second and third).'; xxxpxxxxx1160760884_21 = 'The percentage of double play opportunities turned into actual double plays by a pitcher or hitter.'; xxxpxxxxx1160760884_22 = 'Winning percentage. For teams, Win% is determined by dividing wins by games played. For pitchers, Win% is determined by dividing wins by total decisions. '; xxxpxxxxx1160760884_23 = 'Expected winning percentage for the pitcher, based on how often\na pitcher with the same innings pitched and runs allowed in each individual\ngame earned a win or loss historically in the modern era (1972-present).'; xxxpxxxxx1160760884_24 = 'Attrition Rate is the percent chance that a hitters plate appearances or a pitchers opposing batters faced will decrease by at least 50% relative to his Baseline playing time forecast. Although it is generally a good indicator of the risk of injury, Attrition Rate will also capture seasons in which his playing time decreases due to poor performance or managerial decisions. '; xxxpxxxxx1160760884_25 = 'Batting average (hitters) or batting average allowed (pitchers).'; xxxpxxxxx1160760884_26 = 'Average number of pitches per start.'; xxxpxxxxx1160760884_27 = 'Average Pitcher Abuse Points per game started.'; xxxpxxxxx1160760884_28 = 'Singles or singles allowed.'; xxxpxxxxx1160760884_29 = 'Batting average; hits divided by at-bats.'; xxxpxxxxx1160760884_30 = 'Percentage of pitches thrown for balls.'; xxxpxxxxx1160760884_31 = 'The Baseline forecast, although it does not appear here, is a crucial intermediate step in creating a players forecast. The Baseline developed based on the players previous three seasons of performance. Both major league and (translated) minor league performances are considered.

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October 6, 2006 12:00 am

Prospectus Today: Division Series, Day Three

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Joe Sheehan

The Yankees continued their run through the ... hey, not so fast! In San Diego, the Cardinals continued to make a statement about the importance of home-field advantage, while in New York the Mets were the one team to keep order in the first two games.

\nMathematically, leverage is based on the win expectancy work done by Keith Woolner in BP 2005, and is defined as the change in the probability of winning the game from scoring (or allowing) one additional run in the current game situation divided by the change in probability from scoring\n(or allowing) one run at the start of the game.'; xxxpxxxxx1160157644_18 = 'Adjusted Pitcher Wins. Thorn and Palmers method for calculating a starters value in wins. Included for comparison with SNVA. APW values here calculated using runs instead of earned runs.'; xxxpxxxxx1160157644_19 = 'Support Neutral Lineup-adjusted Value Added (SNVA adjusted for the MLVr of batters faced) per game pitched.'; xxxpxxxxx1160157644_20 = 'The number of double play opportunities (defined as less than two outs with runner(s) on first, first and second, or first second and third).'; xxxpxxxxx1160157644_21 = 'The percentage of double play opportunities turned into actual double plays by a pitcher or hitter.'; xxxpxxxxx1160157644_22 = 'Winning percentage. For teams, Win% is determined by dividing wins by games played. For pitchers, Win% is determined by dividing wins by total decisions. '; xxxpxxxxx1160157644_23 = 'Expected winning percentage for the pitcher, based on how often\na pitcher with the same innings pitched and runs allowed in each individual\ngame earned a win or loss historically in the modern era (1972-present).'; xxxpxxxxx1160157644_24 = 'Attrition Rate is the percent chance that a hitters plate appearances or a pitchers opposing batters faced will decrease by at least 50% relative to his Baseline playing time forecast. Although it is generally a good indicator of the risk of injury, Attrition Rate will also capture seasons in which his playing time decreases due to poor performance or managerial decisions. '; xxxpxxxxx1160157644_25 = 'Batting average (hitters) or batting average allowed (pitchers).'; xxxpxxxxx1160157644_26 = 'Average number of pitches per start.'; xxxpxxxxx1160157644_27 = 'Average Pitcher Abuse Points per game started.'; xxxpxxxxx1160157644_28 = 'Singles or singles allowed.'; xxxpxxxxx1160157644_29 = 'Batting average; hits divided by at-bats.'; xxxpxxxxx1160157644_30 = 'Percentage of pitches thrown for balls.'; xxxpxxxxx1160157644_31 = 'The Baseline forecast, although it does not appear here, is a crucial intermediate step in creating a players forecast. The Baseline developed based on the players previous three seasons of performance. Both major league and (translated) minor league performances are considered.

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August 4, 2006 12:00 am

Transaction Analysis: July 31-August 3

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Christina Kahrl

The Transaction Analysis you have been waiting for. Saunders. Izturis. Guzman. Cormier. Hernandez. Reyes. The names are all here, and only Christina can sort out the right from wrong, and the stupid from the just obtuse.

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June 16, 2005 12:00 am

Transaction Analysis: May 24-June 12, 2005

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Christina Kahrl

The Cubs shuffle through pitching options, the Brewers have one of the most interesting rosters in the game, and the Dodgers fight through injuries as they try to stay in the race. This and much more in Transaction Analysis.

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April 12, 2005 12:00 am

Transaction Analysis: March 29-April 4, 2005

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Christina Kahrl

Early-season moves have featured their share of funkiness, writes Chris Kahrl.

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June 30, 2004 12:00 am

Transaction Analysis: June 25-27

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Christina Kahrl

The Angels' pitching staff returns to health. The David DeJesus era begins for the Royals. The Phillies have an epic battle going for the role of fifth starter. The Mariners hit a home run with the Freddy Garcia deal. These and other happenings in today's Transaction Analysis.

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April 9, 2004 12:00 am

Transaction Analysis: April 6-8, 2004

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Christina Kahrl

Shane Reynolds goes down in Arizona. The Buffalo Bisons pick up Franklin Gutierrez in the Milton Bradley dump. Matt LeCroy goes down in Minnesota, adding insult to injury (literally). And Michael Young becomes the next beneficiary from the Alex Rodriguez salary dump in Texas (yeah, right). All this and much more news from around the league in your Friday edition of Transaction Analysis.

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August 27, 2003 12:00 am

Transaction Analysis: August 19-24

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Christina Kahrl

David Eckstein's miserable season for the Angels runs into injury. The White Sox add Scott Sullivan to a good-looking bullpen. The Expos grab Todd Zeile in their desperate attempt to fill the third base void. Cliff Floyd's injury allows the Mets to look at Jeff Duncan. The Giants could get crushed if they start Dustin Hermanson in the playoffs. These and other transaction news and Kahrlisms in this edition of Transaction Analysis.

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April 16, 2003 12:00 am

Testing the Nexus

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Lee Sinins and Will Carroll

One of the glaring weaknesses in the injury analysis game is the lack of data. As the injury database is built and populated, we are left with spotty research and anecdotal knowledge, especially when it comes to the crossroads of sports medicine and pitcher workloads. Adding to the problem is the lack of data for both minor league and college pitching. Since pitching is pitching, opponents of workload limitations often bring this up. In one of the first systematic studies of early pitching workload, Lee Sinins, creator of the Sabermetric Baseball Encyclopedia, studied 135 pitchers who threw 175 innings or more before the age of 22.

In one of the first systematic studies of early pitching workload, Lee Sinins, creator of the Sabermetric Baseball Encyclopedia, studied 135 pitchers who threw 175 innings or more before the age of 22. Age 22 is equivalent to the age-point found in Nate Silver's study on pitcher injury and age--the Injury Nexus--but was selected by Lee prior to the publication of Nate's study. Lee selected the pitchers from The Sporting News 1997 Baseball Register, giving us a distant enough perspective on many of the pitchers and allowing objective analysis on the possible effects of heavy workloads at such a young age. Unfortunately, innings thrown in winter leagues or in spring training could not be counted in this study as the data were not available. Innings were not adjusted for level and the totals are a sum for all levels in a season.

There were a few basic theories being tested in this study. First, the injury nexus would be tested. Despite the strong correlations between age and injury found by Nate Silver, real world numbers should match up closely. Second, while somewhat arbitrary, the 175-inning threshold seems to be a point where fatigue sets in for almost all pitchers. Young pitchers usually have not reached this threshold in their careers and the first test of this level often results in injury, massive failure, or a survivor effect.

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