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Articles Tagged Designated Hitters 

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07-19

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2

Mid-Season Outliers
by
Baseball Prospectus

12-04

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0

BP Daily Podcast: Effectively Wild Episode 94: The Perplexing Trade Value of R.A. Dickey and Billy Butler
by
Ben Lindbergh and Sam Miller

02-23

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6

Transaction Analysis: The Ancient DH Edition
by
Ben Lindbergh

11-12

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6

So You Need: Outfielders and Designated Hitters
by
Marc Normandin

07-26

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0

Transaction Analysis: American League Roundup
by
Christina Kahrl

10-16

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0

Future Shock: Monday Morning Ten-Pack
by
Kevin Goldstein

10-16

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0

Prospectus Today: LCS, Day Six
by
Joe Sheehan

10-14

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0

Future Shock: Where Did the Tigers and the Athletics Come From?
by
Kevin Goldstein

10-14

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0

Prospectus Today: LCS, Day Four
by
Joe Sheehan

10-14

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0

Playoff Prospectus: The Best and Worst of Mets and Cardinals Postseason Pitching
by
Jim Baker

10-13

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0

Prospectus Today: LCS, Day Three
by
Joe Sheehan

10-12

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0

Prospectus Today: The Games Go On
by
Joe Sheehan

10-12

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0

Player Profile
by
Marc Normandin

10-11

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0

Remembering Buck O'Neil
by
Alex Belth

10-11

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0

Prospectus Today: LCS, Day One
by
Joe Sheehan

10-09

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0

Completely Random Statistical Trivia
by
Keith Woolner

10-09

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0

Prospectus Today: Division Series, Day Six
by
Joe Sheehan

10-07

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0

Prospectus Today: Division Series, Day Four
by
Joe Sheehan

10-06

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0

Prospectus Today: Division Series, Day Three
by
Joe Sheehan

10-06

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0

Prospectus Matchups: October Musings
by
Jim Baker

10-05

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0

Prospectus Today: Division Series, Day Two
by
Joe Sheehan

05-18

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0

Schrodinger's Bat: The Moral Hazards of the Hit Batsmen
by
Dan Fox

06-16

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0

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

09-17

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0

Transaction Analysis: August 30-September 15
by
Christina Kahrl

02-11

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0

Transaction Analysis: January 12-February 6, 2004
by
Christina Kahrl

09-25

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0

Transaction Analysis: August 25-September 21
by
Christina Kahrl

07-19

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0

Transaction Analysis: June 25-July 14, 2002
by
Christina Kahrl

10-12

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0

Call It In The Air!
by
Dave Pease

08-01

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0

Transaction Analysis: July 27-31, 2000
by
Christina Kahrl

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October 12, 2006 12:00 am

Player Profile

0

Marc Normandin

The A's second-best hitter showed considerable improvement in his second full season in the majors.

\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.'; xxxpxxxxx1160675573_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.'; xxxpxxxxx1160675573_19 = 'Support Neutral Lineup-adjusted Value Added (SNVA adjusted for the MLVr of batters faced) per game pitched.'; xxxpxxxxx1160675573_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).'; xxxpxxxxx1160675573_21 = 'The percentage of double play opportunities turned into actual double plays by a pitcher or hitter.'; xxxpxxxxx1160675573_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. '; xxxpxxxxx1160675573_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).'; xxxpxxxxx1160675573_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. '; xxxpxxxxx1160675573_25 = 'Batting average (hitters) or batting average allowed (pitchers).'; xxxpxxxxx1160675573_26 = 'Average number of pitches per start.'; xxxpxxxxx1160675573_27 = 'Average Pitcher Abuse Points per game started.'; xxxpxxxxx1160675573_28 = 'Singles or singles allowed.'; xxxpxxxxx1160675573_29 = 'Batting average; hits divided by at-bats.'; xxxpxxxxx1160675573_30 = 'Percentage of pitches thrown for balls.'; xxxpxxxxx1160675573_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.

The Baseline forecast is also significant in that it attempts to remove luck from a forecast line. For example, a player who hit .310, but with a poor batting eye and unimpressive speed indicators, is probably not really a .310 hitter. Its more likely that hes a .290 hitter who had a few balls bounce his way, and the Baseline attempts to correct for this.

\nSimilarly, a pitcher with an unusually low EqHR9 rate, but a high flyball rate, is likely to have achieved the low EqHR9 partly as a result of luck. In addition, the Baseline corrects for large disparities between a pitchers ERA and his PERA, and an unusually high or low hit rate on balls in play, which are highly subject to luck. '; xxxpxxxxx1160675573_32 = 'Approximate number of batting outs made while playing this position.'; xxxpxxxxx1160675573_33 = 'Batting average; hits divided by at-bats. In PECOTA, Batting Average is one of five primary production metrics used in identifying a hitters comparables. It is defined as H/AB. '; xxxpxxxxx1160675573_34 = 'Bases on Balls, or bases on balls allowed.'; xxxpxxxxx1160675573_35 = 'Bases on balls allowed per 9 innings pitched.'; xxxpxxxxx1160675573_36 = 'Batters faced pitching.'; xxxpxxxxx1160675573_37 = 'Balks. Not recorded 1876-1880.'; xxxpxxxxx1160675573_38 = 'Batting Runs Above Replacement. The number of runs better than a hitter with a .230 EQA and the same number of outs; EQR - 5 * OUT * .230^2.5.'; xxxpxxxxx1160675573_39 = 'Batting runs above a replacement at the same position. A replacement position player is one with an EQA equal to (230/260) times the average EqA for that position.'; xxxpxxxxx1160675573_40 = 'Breakout Rate is the percent chance that a hitters EqR/27 or a pitchers EqERA will improve by at least 20% relative to the weighted average of his EqR/27 in his three previous seasons of performance. High breakout rates are indicative of upside risk.

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October 11, 2006 12:00 am

Remembering Buck O'Neil

0

Alex Belth

A great ambassador for the game--and for humanity--passed away last week.

\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.'; xxxpxxxxx1160583428_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.'; xxxpxxxxx1160583428_19 = 'Support Neutral Lineup-adjusted Value Added (SNVA adjusted for the MLVr of batters faced) per game pitched.'; xxxpxxxxx1160583428_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).'; xxxpxxxxx1160583428_21 = 'The percentage of double play opportunities turned into actual double plays by a pitcher or hitter.'; xxxpxxxxx1160583428_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. '; xxxpxxxxx1160583428_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).'; xxxpxxxxx1160583428_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. '; xxxpxxxxx1160583428_25 = 'Batting average (hitters) or batting average allowed (pitchers).'; xxxpxxxxx1160583428_26 = 'Average number of pitches per start.'; xxxpxxxxx1160583428_27 = 'Average Pitcher Abuse Points per game started.'; xxxpxxxxx1160583428_28 = 'Singles or singles allowed.'; xxxpxxxxx1160583428_29 = 'Batting average; hits divided by at-bats.'; xxxpxxxxx1160583428_30 = 'Percentage of pitches thrown for balls.'; xxxpxxxxx1160583428_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.

The Baseline forecast is also significant in that it attempts to remove luck from a forecast line. For example, a player who hit .310, but with a poor batting eye and unimpressive speed indicators, is probably not really a .310 hitter. Its more likely that hes a .290 hitter who had a few balls bounce his way, and the Baseline attempts to correct for this.

\nSimilarly, a pitcher with an unusually low EqHR9 rate, but a high flyball rate, is likely to have achieved the low EqHR9 partly as a result of luck. In addition, the Baseline corrects for large disparities between a pitchers ERA and his PERA, and an unusually high or low hit rate on balls in play, which are highly subject to luck. '; xxxpxxxxx1160583428_32 = 'Approximate number of batting outs made while playing this position.'; xxxpxxxxx1160583428_33 = 'Batting average; hits divided by at-bats. In PECOTA, Batting Average is one of five primary production metrics used in identifying a hitters comparables. It is defined as H/AB. '; xxxpxxxxx1160583428_34 = 'Bases on Balls, or bases on balls allowed.'; xxxpxxxxx1160583428_35 = 'Bases on balls allowed per 9 innings pitched.'; xxxpxxxxx1160583428_36 = 'Batters faced pitching.'; xxxpxxxxx1160583428_37 = 'Balks. Not recorded 1876-1880.'; xxxpxxxxx1160583428_38 = 'Batting Runs Above Replacement. The number of runs better than a hitter with a .230 EQA and the same number of outs; EQR - 5 * OUT * .230^2.5.'; xxxpxxxxx1160583428_39 = 'Batting runs above a replacement at the same position. A replacement position player is one with an EQA equal to (230/260) times the average EqA for that position.'; xxxpxxxxx1160583428_40 = 'Breakout Rate is the percent chance that a hitters EqR/27 or a pitchers EqERA will improve by at least 20% relative to the weighted average of his EqR/27 in his three previous seasons of performance. High breakout rates are indicative of upside risk.

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October 11, 2006 12:00 am

Prospectus Today: LCS, Day One

0

Joe Sheehan

The Tigers take on a completely different personality at the plate, and use it to win.

\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.'; xxxpxxxxx1160590386_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.'; xxxpxxxxx1160590386_19 = 'Support Neutral Lineup-adjusted Value Added (SNVA adjusted for the MLVr of batters faced) per game pitched.'; xxxpxxxxx1160590386_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).'; xxxpxxxxx1160590386_21 = 'The percentage of double play opportunities turned into actual double plays by a pitcher or hitter.'; xxxpxxxxx1160590386_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. '; xxxpxxxxx1160590386_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).'; xxxpxxxxx1160590386_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. '; xxxpxxxxx1160590386_25 = 'Batting average (hitters) or batting average allowed (pitchers).'; xxxpxxxxx1160590386_26 = 'Average number of pitches per start.'; xxxpxxxxx1160590386_27 = 'Average Pitcher Abuse Points per game started.'; xxxpxxxxx1160590386_28 = 'Singles or singles allowed.'; xxxpxxxxx1160590386_29 = 'Batting average; hits divided by at-bats.'; xxxpxxxxx1160590386_30 = 'Percentage of pitches thrown for balls.'; xxxpxxxxx1160590386_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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Keith checks in with all kinds of fun facts from the completed season.

\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.'; xxxpxxxxx1160407218_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.'; xxxpxxxxx1160407218_19 = 'Support Neutral Lineup-adjusted Value Added (SNVA adjusted for the MLVr of batters faced) per game pitched.'; xxxpxxxxx1160407218_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).'; xxxpxxxxx1160407218_21 = 'The percentage of double play opportunities turned into actual double plays by a pitcher or hitter.'; xxxpxxxxx1160407218_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. '; xxxpxxxxx1160407218_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).'; xxxpxxxxx1160407218_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. '; xxxpxxxxx1160407218_25 = 'Batting average (hitters) or batting average allowed (pitchers).'; xxxpxxxxx1160407218_26 = 'Average number of pitches per start.'; xxxpxxxxx1160407218_27 = 'Average Pitcher Abuse Points per game started.'; xxxpxxxxx1160407218_28 = 'Singles or singles allowed.'; xxxpxxxxx1160407218_29 = 'Batting average; hits divided by at-bats.'; xxxpxxxxx1160407218_30 = 'Percentage of pitches thrown for balls.'; xxxpxxxxx1160407218_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.

The Baseline forecast is also significant in that it attempts to remove luck from a forecast line. For example, a player who hit .310, but with a poor batting eye and unimpressive speed indicators, is probably not really a .310 hitter. Its more likely that hes a .290 hitter who had a few balls bounce his way, and the Baseline attempts to correct for this.

\nSimilarly, a pitcher with an unusually low EqHR9 rate, but a high flyball rate, is likely to have achieved the low EqHR9 partly as a result of luck. In addition, the Baseline corrects for large disparities between a pitchers ERA and his PERA, and an unusually high or low hit rate on balls in play, which are highly subject to luck. '; xxxpxxxxx1160407218_32 = 'Approximate number of batting outs made while playing this position.'; xxxpxxxxx1160407218_33 = 'Batting average; hits divided by at-bats. In PECOTA, Batting Average is one of five primary production metrics used in identifying a hitters comparables. It is defined as H/AB. '; xxxpxxxxx1160407218_34 = 'Bases on Balls, or bases on balls allowed.'; xxxpxxxxx1160407218_35 = 'Bases on balls allowed per 9 innings pitched.'; xxxpxxxxx1160407218_36 = 'Batters faced pitching.'; xxxpxxxxx1160407218_37 = 'Balks. Not recorded 1876-1880.'; xxxpxxxxx1160407218_38 = 'Batting Runs Above Replacement. The number of runs better than a hitter with a .230 EQA and the same number of outs; EQR - 5 * OUT * .230^2.5.'; xxxpxxxxx1160407218_39 = 'Batting runs above a replacement at the same position. A replacement position player is one with an EQA equal to (230/260) times the average EqA for that position.'; xxxpxxxxx1160407218_40 = 'Breakout Rate is the percent chance that a hitters EqR/27 or a pitchers EqERA will improve by at least 20% relative to the weighted average of his EqR/27 in his three previous seasons of performance. High breakout rates are indicative of upside risk.

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October 9, 2006 12:00 am

Prospectus Today: Division Series, Day Six

0

Joe Sheehan

The Cardinals step up to be the dance partner for the Mets.

\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.'; xxxpxxxxx1160433082_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.'; xxxpxxxxx1160433082_19 = 'Support Neutral Lineup-adjusted Value Added (SNVA adjusted for the MLVr of batters faced) per game pitched.'; xxxpxxxxx1160433082_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).'; xxxpxxxxx1160433082_21 = 'The percentage of double play opportunities turned into actual double plays by a pitcher or hitter.'; xxxpxxxxx1160433082_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. '; xxxpxxxxx1160433082_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).'; xxxpxxxxx1160433082_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. '; xxxpxxxxx1160433082_25 = 'Batting average (hitters) or batting average allowed (pitchers).'; xxxpxxxxx1160433082_26 = 'Average number of pitches per start.'; xxxpxxxxx1160433082_27 = 'Average Pitcher Abuse Points per game started.'; xxxpxxxxx1160433082_28 = 'Singles or singles allowed.'; xxxpxxxxx1160433082_29 = 'Batting average; hits divided by at-bats.'; xxxpxxxxx1160433082_30 = 'Percentage of pitches thrown for balls.'; xxxpxxxxx1160433082_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 7, 2006 12:00 am

Prospectus Today: Division Series, Day Four

0

Joe Sheehan

The A's won a Division Series, and they did it their way. The Tigers are one win away from joining them in an ALCS matchup no one predicted.

\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.'; xxxpxxxxx1160276734_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.'; xxxpxxxxx1160276734_19 = 'Support Neutral Lineup-adjusted Value Added (SNVA adjusted for the MLVr of batters faced) per game pitched.'; xxxpxxxxx1160276734_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).'; xxxpxxxxx1160276734_21 = 'The percentage of double play opportunities turned into actual double plays by a pitcher or hitter.'; xxxpxxxxx1160276734_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. '; xxxpxxxxx1160276734_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).'; xxxpxxxxx1160276734_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. '; xxxpxxxxx1160276734_25 = 'Batting average (hitters) or batting average allowed (pitchers).'; xxxpxxxxx1160276734_26 = 'Average number of pitches per start.'; xxxpxxxxx1160276734_27 = 'Average Pitcher Abuse Points per game started.'; xxxpxxxxx1160276734_28 = 'Singles or singles allowed.'; xxxpxxxxx1160276734_29 = 'Batting average; hits divided by at-bats.'; xxxpxxxxx1160276734_30 = 'Percentage of pitches thrown for balls.'; xxxpxxxxx1160276734_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

0

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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Jim cleans up some old business, ponders the all-time greats at second base, and tries to avoid throwing things at the TV set.

\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.'; xxxpxxxxx1160158525_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.'; xxxpxxxxx1160158525_19 = 'Support Neutral Lineup-adjusted Value Added (SNVA adjusted for the MLVr of batters faced) per game pitched.'; xxxpxxxxx1160158525_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).'; xxxpxxxxx1160158525_21 = 'The percentage of double play opportunities turned into actual double plays by a pitcher or hitter.'; xxxpxxxxx1160158525_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. '; xxxpxxxxx1160158525_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).'; xxxpxxxxx1160158525_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. '; xxxpxxxxx1160158525_25 = 'Batting average (hitters) or batting average allowed (pitchers).'; xxxpxxxxx1160158525_26 = 'Average number of pitches per start.'; xxxpxxxxx1160158525_27 = 'Average Pitcher Abuse Points per game started.'; xxxpxxxxx1160158525_28 = 'Singles or singles allowed.'; xxxpxxxxx1160158525_29 = 'Batting average; hits divided by at-bats.'; xxxpxxxxx1160158525_30 = 'Percentage of pitches thrown for balls.'; xxxpxxxxx1160158525_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 5, 2006 12:00 am

Prospectus Today: Division Series, Day Two

0

Joe Sheehan

The Play is the talk of the water coolers, but plenty of other things happened on an abbreviated second day.

\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.'; xxxpxxxxx1160071649_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.'; xxxpxxxxx1160071649_19 = 'Support Neutral Lineup-adjusted Value Added (SNVA adjusted for the MLVr of batters faced) per game pitched.'; xxxpxxxxx1160071649_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).'; xxxpxxxxx1160071649_21 = 'The percentage of double play opportunities turned into actual double plays by a pitcher or hitter.'; xxxpxxxxx1160071649_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. '; xxxpxxxxx1160071649_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).'; xxxpxxxxx1160071649_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. '; xxxpxxxxx1160071649_25 = 'Batting average (hitters) or batting average allowed (pitchers).'; xxxpxxxxx1160071649_26 = 'Average number of pitches per start.'; xxxpxxxxx1160071649_27 = 'Average Pitcher Abuse Points per game started.'; xxxpxxxxx1160071649_28 = 'Singles or singles allowed.'; xxxpxxxxx1160071649_29 = 'Batting average; hits divided by at-bats.'; xxxpxxxxx1160071649_30 = 'Percentage of pitches thrown for balls.'; xxxpxxxxx1160071649_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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May 18, 2006 12:00 am

Schrodinger's Bat: The Moral Hazards of the Hit Batsmen

0

Dan Fox

Working the inside seam yet again, Dan looks at differences between the leagues and the impact of a few extraordinary gentlemen.

In the previous two weeks, we've been looking at historical hit by pitch rates and their trends, and investigating a variety of theories that have tried to explain the fluctuation of those rates. We've looked at a wide variety of theories that account for factors such as aluminum bats at the amateur level, changes in the strike zone, the increase in body armor, intimidation, retaliation, and even the win expectancy of the hit batsmen. While individual theories may lack explanatory power for a specific period of time, taken together they do provide insight into the sometimes opposing forces that underlie trends in baseball's complex competitive environment.

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June 16, 2005 12:00 am

Transaction Analysis: May 24-June 12, 2005

0

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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September 17, 2004 12:00 am

Transaction Analysis: August 30-September 15

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Christina Kahrl

Chris Kahrl has all the roster expansion and early-September movings and shakings in this supersized edition of Transaction Analysis.

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