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Articles Tagged On-base Percentage

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October 5, 2006 12:00 am

 Prospectus Today: Division Series, Day Two 0

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 5, 2005 12:00 am

 Crooked Numbers: Do Not Pass Go 0

James Click LOBs a few thoughts on teams struggling to knock in runs.

Box scores are disappearing. While we still find them in their traditional format in newspapers and across the Web, the ability to read several articles about each game, daily updated stat reports, and play-by-play logs largely nullify the need to manually keep track of how many home runs your favorite player has or to discern the events of each game from a very limited set of numbers. The days of trying to figure out how a player scored a run without an AB or why another player has one fewer plate appearance than everyone else despite being in the middle of the order are--for the most part--gone.

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April 28, 2004 12:00 am

 Lies, Damned Lies: Making RBIs Useful 0

There isn\'t a whole hell of a lot to do in Lansing, Michigan. There aren\'t any mountains, and there isn\'t any seacoast. The nearest amusement park is 400 miles away. There\'s a minor league ball team there now, but there wasn\'t when I grew up. There\'s a college there--a big, state university--with lots of college parties, and lots of college girls, and a lot of kids from Lansing start behaving like college students long before they really should. But even those with precocious synapses manage to sneak in a few years of relative innocence before learning what sororities and beer bongs are, and my synapses were late to the party. There\'s a big city not too far away, but to paraphrase W.C. Fields, the prevailing sense that one has when one is in Detroit is that, all things considered, one would rather be in Lansing. So what you do a lot is drive. You drive past the cow farms and the meadows and rolling hills or whatever the hell they\'re called in the TripTik and the dilapidated country town with the antique store that your mother likes so much. You drive with your dad in an American-made sedan and you listen to Ernie Harwell and the Tigers. You drive at 62 m.p.h. past a shuttered-up farmhouse with peeling gray paint and a half-working windmill, and Steve Balboni stands there like a house by the side of the road and watches Frank Tanana\'s fastball go by, or that\'s what Ernie tells you. You drive and you listen and you daydream and you talk about baseball.

So what you do a lot is drive. You drive past the cow farms and the meadows and rolling hills or whatever the hell they're called in the TripTik and the dilapidated country town with the antique store that your mother likes so much. You drive with your dad in an American-made sedan and you listen to Ernie Harwell and the Tigers. You drive at 62 m.p.h. past a shuttered-up farmhouse with peeling gray paint and a half-working windmill, and Steve Balboni stands there like a house by the side of the road and watches Frank Tanana's fastball go by, or that's what Ernie tells you. You drive and you listen and you daydream and you talk about baseball.

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January 26, 2004 12:00 am

 A Study in (Near) Perfection 0

To say that Eric Gagne's adjective-inducing 2003 performance was just another season would be akin to the notion that the Beatles were just another rock band. The truth of the matter, at least in the case of Gagne, is that his season's performance was one for the ages. The all-world reliever was not merely good, he was "Nintendo." Traditional metrics alone, such as his 55 saves and sporty 1.20 ERA, showed enough to make the goggle-wearing Dodger closer the sexy pick for the National League Cy Young Award, while he further impressed by striking out an astronomical 137 over-matched batters in only 82.3 innings. Further proof that his performance was from another world (and no, I don't mean Canada) was his limiting opponents to an eye-popping .133 batting average against. As is most often the case, the traditional metrics prove to be only the tip of the iceberg in discussing Gagne's 2003. For all the strikeouts and saves, the bottom line may best be seen through the realization that Gagne was the best reliever in baseball in terms of preventing runs. His 32.6 Adjusted Runs Prevented, based on the analysis of Michael Wolverton at Baseball Prospectus, represents the idea that Gagne prevented approximately 33 runs more than what would have been prevented by the average major league reliever during the course of his specific 82.3 innings pitched. That's an incredible difference of 3.6 runs for every nine innings pitched.

To say that Eric Gagne's adjective-inducing 2003 performance was just another season would be akin to the notion that the Beatles were just another rock band. The truth of the matter, at least in the case of Gagne, is that his season's performance was one for the ages. The all-world reliever was not merely good, he was "Nintendo."

Traditional metrics alone, such as his 55 saves and sporty 1.20 ERA, showed enough to make the goggle-wearing Dodger closer the sexy pick for the National League Cy Young Award, while he further impressed by striking out an astronomical 137 over-matched batters in only 82.3 innings. Further proof that his performance was from another world was his limiting opponents to an eye-popping .133 batting average against.

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March 4, 2003 12:00 am

 Breaking Balls: Getting Defensive: The Basics 0

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

\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.