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05-15

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5

Pebble Hunting: The Starts That Defied FIP
by
Sam Miller

04-18

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21

Pebble Hunting: Doing Lines
by
Sam Miller

01-13

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61

Heartburn Hardball: Jack Morris in Motion
by
Jonathan Bernhardt

11-18

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15

Baseball ProGUESTus: Why Having a Quick Hook Helps
by
Mitchel Lichtman

02-22

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6

Changing Speeds: Setting the Line
by
Ken Funck

09-22

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4

Manufactured Runs: A Walk in the Park
by
Colin Wyers

02-06

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5

Prospectus Q&A: Chris Hayes, Part One
by
Rany Jazayerli

12-14

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3

Prospectus Q&A: Richard Dotson
by
David Laurila

05-15

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0

Lies, Damned Lies: The Lost Generation?
by
Nate Silver

02-24

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0

Prospectus Q&A: Doug Thorburn
by
David Laurila

01-27

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0

Prospectus Q&A: Mike Pagliarulo
by
David Laurila

08-30

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0

Schrodinger's Bat: Tilting the Playing Field
by
Dan Fox

07-06

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0

Prospectus Hit List: Pinch-Hitter's Edition
by
Marc Normandin

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

07-19

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0

Prospectus Notebook: Orioles, Mets
by
Baseball Prospectus

02-21

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0

Prospectus Roundtable: Top 50 Prospects - Pitchers
by
Baseball Prospectus

07-21

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0

Under The Knife: NL Mid-Season Health Report
by
Will Carroll

05-30

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0

Under The Knife: It All Comes Back
by
Will Carroll

03-26

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0

PECOTA Preview
by
Nate Silver

03-27

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0

Transaction Analysis: March 19-25, 2002
by
Christina Kahrl

10-12

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0

Call It In The Air!
by
Dave Pease

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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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Can we document a Mazzone Effect in Baltimore, and are the Mets swooning or just marking time?

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February 21, 2005 12:00 am

Prospectus Roundtable: Top 50 Prospects - Pitchers

0

Baseball Prospectus

Felix Hernandez is #1 by acclamation, but the discussion about who should slot in behind him is as contentious as any in the series.

--

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July 21, 2003 12:00 am

Under The Knife: NL Mid-Season Health Report

0

Will Carroll

Going through the data and talking to sources brings up an interesting quirk. There are often differences cited between the AL and NL, but never such a gap in injury statistics. The AL is healthier by a large margin--if I quoted the number, you'd be stunned--and there's no reason that jumps out. Some have long thought that the DH slot could keep some players off the DL, allowing someone to hit while not completely healthy, say Barry Bonds, Albert Pujols or Edgar Martinez. There's no great "health gap" in any other year since adoption of the rule, so I'm loathe to assign credit or blame. There's no changes in player patterns, medical staffs, or park effect to explain it, so in retrospect, finding that answer will be the greatest challenge and potential lesson for medheads in the second half. That said, it could be mere fluke and the NL could get really healthy for a couple months, but I don't think so. Remember that I grade the teams based on a couple factors--overall health compared to both league and team averages, ability to get players back ahead of schedule, lost time to DL, and effect of injuries on team results. These are not terribly scientific and should not be used for wagering. In no instance am I assigning blame; instead, I merely hope to allow comparison and quantify effect. They're not worth arguing over.

Remember that I grade the teams based on a couple factors--overall health compared to both league and team averages, ability to get players back ahead of schedule, lost time to DL, and effect of injuries on team results. These are not terribly scientific and should not be used for wagering. In no instance am I assigning blame; instead, I merely hope to allow comparison and quantify effect. They're not worth arguing over.

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May 30, 2003 12:00 am

Under The Knife: It All Comes Back

0

Will Carroll

It all comes back to health. Yesterday's Diamondbacks/Red Sox trade hinged not on talent--that was easy enough to agree on--and not on money, but on how the health of a couple of D'backs pitchers would affect their depth. Whether you think the Sox helped their pitching, the Snakes helped their putrid offense, or that there will be more deals cascading from this one, ignoring health just isn't possible. I'll leave the trade analysis to others here at BP, but this is one where the numbers I watch (VORP, MLVr) don't agree with how most will analyze this trade. Onto the injuries....

Yesterday's Diamondbacks/Red Sox trade hinged not on talent--that was easy enough to agree on--and not on money, but on how the health of a couple of D'backs pitchers would affect their depth. Whether you think the Sox helped their pitching, the Snakes helped their putrid offense, or that there will be more deals cascading from this one, ignoring health just isn't possible.

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March 26, 2003 12:00 am

PECOTA Preview

0

Nate Silver

The nerdiest part of our preseason blitzkrieg, this is the second of two articles describing the final standings in each league as compiled based on our PECOTA forecasts.

NL East

Team W L BA OBP SLG RS ERA RA ------------------------------------------------------------------- Phillies 94 68 .259 .343 .429 825 3.81 672 Braves 85 77 .256 .332 .412 763 4.07 717 Mets 82 80 .250 .319 .391 691 3.86 680 Expos 82 80 .261 .330 .411 760 4.31 756 Marlins 79 83 .257 .322 .395 710 4.15 731

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March 27, 2002 4:52 pm

Transaction Analysis: March 19-25, 2002

0

Christina Kahrl

A recap of transactions in the last week featuring all 30 teams.

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October 12, 2000 12:00 am

Call It In The Air!

0

Dave Pease

\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.'; xxxpxxxxx1160184488_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.'; xxxpxxxxx1160184488_19 = 'Support Neutral Lineup-adjusted Value Added (SNVA adjusted for the MLVr of batters faced) per game pitched.'; xxxpxxxxx1160184488_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).'; xxxpxxxxx1160184488_21 = 'The percentage of double play opportunities turned into actual double plays by a pitcher or hitter.'; xxxpxxxxx1160184488_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. '; xxxpxxxxx1160184488_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).'; xxxpxxxxx1160184488_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. '; xxxpxxxxx1160184488_25 = 'Batting average (hitters) or batting average allowed (pitchers).'; xxxpxxxxx1160184488_26 = 'Average number of pitches per start.'; xxxpxxxxx1160184488_27 = 'Average Pitcher Abuse Points per game started.'; xxxpxxxxx1160184488_28 = 'Singles or singles allowed.'; xxxpxxxxx1160184488_29 = 'Batting average; hits divided by at-bats.'; xxxpxxxxx1160184488_30 = 'Percentage of pitches thrown for balls.'; xxxpxxxxx1160184488_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. '; xxxpxxxxx1160184488_32 = 'Approximate number of batting outs made while playing this position.'; xxxpxxxxx1160184488_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. '; xxxpxxxxx1160184488_34 = 'Bases on Balls, or bases on balls allowed.'; xxxpxxxxx1160184488_35 = 'Bases on balls allowed per 9 innings pitched.'; xxxpxxxxx1160184488_36 = 'Batters faced pitching.'; xxxpxxxxx1160184488_37 = 'Balks. Not recorded 1876-1880.'; xxxpxxxxx1160184488_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.'; xxxpxxxxx1160184488_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.'; xxxpxxxxx1160184488_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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