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Articles Tagged Replacement-level 

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02-13

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8

Prospectus Hit and Run: The Vortices of Suck, Part II
by
Jay Jaffe

11-24

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4

Manufactured Runs: Expanded Coverage
by
Colin Wyers

11-03

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30

Manufactured Runs: Replacing Replacement
by
Colin Wyers

09-16

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23

Overthinking It: Looking for the Iconic Replacement Player
by
Ben Lindbergh

07-06

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0

One-Hoppers: The Replacement-Level All-Stars
by
Ben Lindbergh

02-04

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30

Ahead in the Count: Revising Player Contract Valuation, Part 3
by
Matt Swartz

01-20

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34

Ahead in the Count: Revising Player Contract Valuation, Part 2
by
Matt Swartz

04-28

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18

Replacement-Level Killers 2009
by
Ben Lindbergh

04-15

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24

Replacement-Level Killers
by
Ben Lindbergh

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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Prospectus Today: The Games Go On
by
Joe Sheehan

10-12

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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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Prospectus Today: Division Series, Day Two
by
Joe Sheehan

12-22

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0

Crooked Numbers: Value Over Replacement Column
by
James Click

07-06

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0

From The Mailbag: MLVr, VORP, BABIP, WXRL, Stadiums, and the Dessert Cart
by
Baseball Prospectus

06-25

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0

Lies, Damned Lies: Redefining Replacement Level
by
Nate Silver

10-12

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Call It In The Air!
by
Dave Pease

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February 13, 2012 3:00 am

Prospectus Hit and Run: The Vortices of Suck, Part II

8

Jay Jaffe

Which outfielders and DHs proved to be the biggest black holes in the majors?

Picking up where I left off on Friday, we continue hunting the fish at the bottom of the major-league barrel in search of the positions where teams got the worst production—worse than the Replacement-Level Killers, but without the burden of toiling for a contending team. As with their catching and infield brethren, the following players helped produce tornado-level disasters amid their lineups, often at salaries that represented far more than just soft breezes running through their teams’ bank accounts. These are the Vortices of Suck.

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November 24, 2010 9:00 am

Manufactured Runs: Expanded Coverage

4

Colin Wyers

Checking in on expansion teams to see what they can tell us about replacement level.

We are getting close to finishing up the revisions to Wins Above Replacement Player, and before we get to wrapping up the pitchers, I want to step back for a second and take a look at replacement level from a different perspective.

One of the important points of analyzing baseball is that everything important happens at the team level. This isn’t to say individual players are unimportant. You can’t have a baseball team without them, but you can only win or lose as a team, not as an individual. Having a system that makes sense at the team level is a necessary (but not sufficient) criteria for having a good system of evaluating baseball players at the individual level.

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Why replacement level is important, and a fresh way of measuring it.

This is something of a culmination of work I’ve been doing over the past few months—taking a menagerie of stats available here at Baseball Prospectus and merging them together under the heading of “Wins Above Replacement Level.” We’ve had WARP for quite a while—and its close sibling, VORP, as well—but it has been rather distinct from the rest of our offerings. That’s coming to an end.

We will, of course, still carry a number of baseball statistics not concerned with directly measuring a player’s value—there are a number of stats both descriptive and predictive that aren’t going away. But in terms of value measures, we’re going to consolidate down to one view.

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September 16, 2010 8:00 am

Overthinking It: Looking for the Iconic Replacement Player

23

Ben Lindbergh

With Mario Mendoza being the patron saint of bad hitting, who should define replacement level?

Replacement level is something of a slippery concept. Of course, once you’ve gotten a grasp of its meaning and import, it’s not hard to hold on; I suspect that most people reading this article would defend the utility of replacement level to the death, at least until things got violent. Still, one suspects that holdouts might cotton to the concept more quickly if it employed a familiar baseline; the rather abstract nature of the term “replacement level” has been known to provoke a few scoffs from the anti-intellectual set.

Of course, given the elusive nature of “average” in baseball, replacement level better suits the sport for evaluative purposes. As Joe Posnanski wrote recently, “You could pick a really HIGH baseline—you could make your stat read Wins Below Willie Mays (WBWM) or Value Under Albert Pujols (VUAB). But that wouldn’t be much fun to do and would probably tell us more about Willie Mays and Albert Pujols than the players themselves.”

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Which of this year's All-Star selections wouldn't carry their weight in a hypothetical luminaries' league?

Each year’s announcement of All-Star Game rosters inspires a round of internet remonstrations, focused on exclusions and inclusions alike. Rather than lend my keyboard to that chorus, which seems to have hit all the right notes already, I thought I’d take a quick look at the initial All-Star rosters with the aid of replacement level. Even the worst All-Star selected easily surpasses major-league replacement level—yes, even Omar Infante, and with plenty of room to spare—but one wonders (okay, so maybe I’m the only one wondering) how each pick would stack up were the replacement-level baseline adjusted for All-Star talent. In other words, let’s pretend that the members of the AL and NL All-Star teams seceded from their circuits and formed their own league, with the rest of the majors serving as a talent pool for potential stand-ins. Would any replacement-level players lurk among those initially chosen to travel to Anaheim? And if so, which would lay claim to the title of Replacement-Level All Star?

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February 4, 2010 1:02 pm

Ahead in the Count: Revising Player Contract Valuation, Part 3

30

Matt Swartz

Evaluating single high-profile signings against more scatter-shot solutions to team needs.

In the first two parts of this series, I explained my new approach to contract valuations and whether MORP should be linear with respect to WARP. Basically, this entailed asking the question of whether Matt Holliday, perhaps a six-win player, could be just as easily replaced by signing two three-win players or three two-win players. The issue is roster space and playing time. The alternative argument to doing MORP linearly is that a team can sign Holliday and concentrate all six of those wins on one spot of the diamond, and then they could improve themselves more by filling their other openings with decent players as well.

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January 20, 2010 1:19 pm

Ahead in the Count: Revising Player Contract Valuation, Part 2

34

Matt Swartz

Pricing out the premium on star players, and establishing minimums and expectations for player value.

The second of a three-part series.

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April 28, 2009 10:47 am

Replacement-Level Killers 2009

18

Ben Lindbergh

The players most likely in 2009 to suck away some little bit of hope for their respective teams.

Recently, I examined last season's Replacement-Level Killers, affixing the title that Jay Jaffe coined to a group of bungling batsmen, floundering fielders, and helpless hurlers whose poor play torpedoed their teams' chances of reaching the playoffs in 2008. Last year's lowlights deserved a look, but with three weeks of baseball under our belts in 2009, we've already begun to turn our attentions to what certain players haven't done for us lately (sometimes a touch too eagerly). As promised, I've come up with a list of candidates for the 2009 Replacement-Level Killers squad, predicated not on what we've seen so far in limited action, but on what we're likely to see in the months ahead.

Over the course of a lengthy season, avoiding replacement-level production often hinges more heavily on timely, effective responses to poor performance and injury than on selecting the best candidates from an available pool of Opening Day starters. In many instances, an appearance on the list represents not so much a criticism of the player in question, as an indictment of the managers (both general and otherwise) who put him in a position to fail despite his known limitations (although in certain cases, such as those of J.R. Towles or John McDonald last season, the extent of the collapse likely could not have been foreseen). However, in general, teams act rationally by awarding the bulk of the opportunities to the most capable players on hand, which not only makes their occasional failures to do so more frustrating, but renders forecasting the identity of the Killers difficult.

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April 15, 2009 12:05 pm

Replacement-Level Killers

24

Ben Lindbergh

The men from the 2008 season who did the dirty deed and left their team's aspirations in history's ditch.

Each Opening Day marks the arrival of the proverbial "next year" invoked by the prior season's foiled fans, a long-awaited grace period infused with hope and promise. The season of clean slates, fresh starts, and slight fluctuations in our Playoff Odds Report might seem a strange time to summon the specter of last year's failures, but baseball's statistical record specializes in hawking hard truths—teams that allot playing time while mired in the throes of irrational exuberance frequently find their October aspirations cleaved by Santayana's old saw.

In the midst of each of the last two seasons, Jay Jaffe compiled an "all-star team of ignominy," which he dubbed the Replacement-Level Killers. Jay originally developed the concept for a chapter in It Ain't Over, and then applied it on a smaller scale to both the 2007 and 2008 campaigns. He also intended to update last year's mid-season list after the dust had settled, but never found the time. That's where this article comes in.

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October 16, 2006 12:00 am

Future Shock: Monday Morning Ten-Pack

0

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

0

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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October 14, 2006 12:00 am

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

0

Kevin Goldstein

Even Alexis Gomez came from somewhere (Kansas City). Kevin tells us how the Tigers and A's acquired the rest of their postseason difference-makers.

\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.'; xxxpxxxxx1160846402_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.'; xxxpxxxxx1160846402_19 = 'Support Neutral Lineup-adjusted Value Added (SNVA adjusted for the MLVr of batters faced) per game pitched.'; xxxpxxxxx1160846402_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).'; xxxpxxxxx1160846402_21 = 'The percentage of double play opportunities turned into actual double plays by a pitcher or hitter.'; xxxpxxxxx1160846402_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. '; xxxpxxxxx1160846402_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).'; xxxpxxxxx1160846402_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. '; xxxpxxxxx1160846402_25 = 'Batting average (hitters) or batting average allowed (pitchers).'; xxxpxxxxx1160846402_26 = 'Average number of pitches per start.'; xxxpxxxxx1160846402_27 = 'Average Pitcher Abuse Points per game started.'; xxxpxxxxx1160846402_28 = 'Singles or singles allowed.'; xxxpxxxxx1160846402_29 = 'Batting average; hits divided by at-bats.'; xxxpxxxxx1160846402_30 = 'Percentage of pitches thrown for balls.'; xxxpxxxxx1160846402_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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