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Articles Tagged On-base Percentage 

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11-19

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5

Baseball Therapy: Defining Change in Player Performance from Year to Year
by
Russell A. Carleton

07-10

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2

Baseball ProGUESTus: Does the Hit and Run Help?
by
Pete Palmer

01-13

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61

Heartburn Hardball: Jack Morris in Motion
by
Jonathan Bernhardt

06-18

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0

Watching the Detectives
by
Mike Carminati

03-29

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0

Schrodinger's Bat: The Price of Contentment
by
Dan Fox

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

05-05

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0

Crooked Numbers: Do Not Pass Go
by
James Click

04-28

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0

Lies, Damned Lies: Making RBIs Useful
by
Nate Silver

01-26

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0

A Study in (Near) Perfection
by
Blake Kirkman

03-04

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0

Breaking Balls: Getting Defensive: The Basics
by
Derek Zumsteg

10-12

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0

Call It In The Air!
by
Dave Pease

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March 4, 2003 12:00 am

Breaking Balls: Getting Defensive: The Basics

0

Derek Zumsteg

The greatest change in baseball thought over the past 20 years has been the shift of focus from one offensive statistic (number of hits / number of times to plate that did not result in a walk) to a better one (number of times reached base / number of times at the plate). Granted, I realize that I'm omitting sacrifice flies and catcher interferences there, but that's the essence of batting average and on-base percentage. If you only knew on-base percentage, you'd do pretty well comparing players. Unfortunately, there is no easy way to do this with fielding statistics--a fact that results in a disagreement between our eyes, instincts, and what we read. I've been trying to educate myself on fielding statistics for the last couple years, and I want to admit up front that I have not been able to reconcile them with my own evaluation. When I see Mike Cameron rated as a slightly above-average center fielder last year, I roll my eyes, because I have in my head a mental image of how far he can go to get a ball--a massive expanse few visiting outfielders can cover. The issue, though, is that it's not an accurate picture or particularly useful in evaluation.

The greatest change in baseball thought over the past 20 years has been the shift of focus from one offensive statistic (number of hits / number of times to plate that did not result in a walk) to a better one (number of times reached base / number of times at the plate). Granted, I realize that I'm omitting sacrifice flies and catcher interferences there, but that's the essence of batting average and on-base percentage. If you only knew on-base percentage, you'd do pretty well comparing players.

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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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