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Articles Tagged Breakout 

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04-20

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2

What You Need to Know: Friday, April 20
by
Daniel Rathman

02-06

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18

Resident Fantasy Genius: The Age-27 Breakout Fallacy
by
Derek Carty

10-03

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10

Resident Fantasy Genius: BP Fantasy End of Season Awards
by
Derek Carty

03-17

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23

Future Shock: Future Top Dogs, NL
by
Kevin Goldstein

05-31

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47

Prospectus Idol Entry: Breakouts, Breakdowns, or Just Outliers?
by
Brian Cartwright

02-24

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3

Prospectus Hit and Run: The Pitchers' Breakout Bunch
by
Jay Jaffe

02-20

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11

Prospectus Hit and Run: The Hitters' Breakout Bunch
by
Jay Jaffe

02-13

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0

Fantasy Beat: PECOTA Breakouts
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

03-28

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0

2005--Setting the Stage
by
Rany Jazayerli

01-26

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0

Prospectus Today: Fun with PECOTA
by
Joe Sheehan

09-23

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0

Prospectus Triple Play: Arizona Diamondbacks, Detroit Tigers, Kansas City Royals
by
Baseball Prospectus

08-06

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0

Lies, Damned Lies: Quantum Leap
by
Nate Silver

02-06

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0

Prospectus Feature: Playing the Armchair Arbitrator
by
Nate Silver

02-21

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0

Doctoring The Numbers: Do Lefties "Break Out" More Than Righties?
by
Rany Jazayerli

10-12

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0

Call It In The Air!
by
Dave Pease

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Things might not look cheery in Houston, but J.D. Martinez is trying to turn the tides.

The Thursday Takeaway
On February 29, the BP team pitched 14 breakout candidates for the 2012 season. If the first two weeks are any indication, though, we may have missed a big one.

There aren’t many bright spots on the Astros, who are 5-8 to start the year and may struggle to maintain even that .385 winning percentage through the summer. But outfielder J.D. Martinez—who .274/.319/.423 as a rookie in 2011—has officially announced his arrival by emerging as one of the hottest hitters in the league through 13 games.


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February 6, 2012 3:00 am

Resident Fantasy Genius: The Age-27 Breakout Fallacy

18

Derek Carty

Counting on a player to transition from teeny bopper to Bash Brother at age 27 isn't a good fantasy strategy.

Twenty-seven. Oh, the age of 27. As you might be aware, age 27 gets a lot of attention in fantasy baseball circles, often cited as a “magic” number when a hitter reaches his physical peak and is most likely to break out. It doesn’t take much effort to stumble upon a fantasy writer who discusses this theory, heralding the upcoming season’s crop of age-27ers.

The theory goes that because a player is reaching his physical peak, he is most likely to have a career year during his age-27 season. Unfortunately, most of the support offered for this theory comes in the form of conjecture or anecdotal evidence. I wrote an article last offseason at THT that examined whether age 27 actually is the prime age for breakouts. Unsurprisingly, I found that it wasn’t. Of course, this won’t stop people from continuing to write about it, as they see a player like Rickie Weeks post a 29-home run season in 2010 at the age of 27 and assume that the age is somehow magical. But these people ignore the age-27 players who stumble, such as Adam Lind in 2010, and the players who break out at other ages, such as Jose Bautista at age 29. Anecdotal evidence is never sufficient and can often lead to season-sinking assumptions.

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October 3, 2011 9:00 am

Resident Fantasy Genius: BP Fantasy End of Season Awards

10

Derek Carty

With the regular season complete, we take a look at the BP fantasy crew's votes for a variety of awards.

With the fantasy season coming to a close this past week, each member of the BP Fantasy team cast their votes for a variety of categories. Today, I'm here to hand out the theoretical hardware. After seeing who we thought had the best, worst, and most interesting 2011 seasons, be sure to tell us who you think deserved some recognition in the comments section.

Derek Carty

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March 17, 2010 11:21 am

Future Shock: Future Top Dogs, NL

23

Kevin Goldstein

A look back and a look ahead to who could the top prosects in the senior circuit next year.

One of the most frequent questions I get, be it via e-mail, chats, or the comment sections in the articles, is which player on (insert team here) has the best shot at moving into the Top 101. That's a much different question from who is the best prospect not in the Top 101, as the focus need to move solely to growth potential. Building on last year's "Future Top Dogs" series, let's keep that category in this year's version, while also taking an honest look at last year's prognostications.

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Goin' All Hanley Ramirez

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February 24, 2009 12:36 pm

Prospectus Hit and Run: The Pitchers' Breakout Bunch

3

Jay Jaffe

A few candidates who might take that next big step forward on the pitcher's mound.

Last time around, we used the Breakout Rates found in the 2009 PECOTA projections to identify a handful of promising young hitters with high potential for taking major steps forward this year. Doing the same for pitchers is a trickier business. A pitcher's Breakout Rate is based on the likelihood that he'll improve his Equivalent ERA by 20 percent relative to the weighted average of his performance over the past three years. Alas, pitcher development is a less predictable enterprise than it is for hitters, who generally peak between ages 25 and 29, which creates a few problems in identifying true breakout candidates.

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February 20, 2009 12:06 pm

Prospectus Hit and Run: The Hitters' Breakout Bunch

11

Jay Jaffe

Who's about to take that next big step forward in the batter's box?

Not every top prospect hits the ground running the way recent Rookie of the Year winners like Evan Longoria and Ryan Braun did, stepping into a major league lineup and putting up All-Star caliber numbers. Sometimes it takes a couple of years' worth of experience and adjustments for a high-upside player to reach his potential, but when he does, look out.

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February 13, 2008 12:00 am

Fantasy Beat: PECOTA Breakouts

0

Marc Normandin

Using PECOTA's additional features can help you make some interesting later-round picks with upside.

Today we'll start to delve into PECOTA's offerings by taking a look at some of the top Breakout candidates it generated for this year's players. Breakout Rate is an interesting way to look at what players may beat out their projected numbers, and since we only have the weighted means up in our fantasy spreadsheet so far, it's a good idea to consider a player's Breakout Rate for those teams drafting early.

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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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Jim digs back and looks at the best starting efforts by the Mets and Cardinals in the era of divisional play.

\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.'; xxxpxxxxx1160845280_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.'; xxxpxxxxx1160845280_19 = 'Support Neutral Lineup-adjusted Value Added (SNVA adjusted for the MLVr of batters faced) per game pitched.'; xxxpxxxxx1160845280_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).'; xxxpxxxxx1160845280_21 = 'The percentage of double play opportunities turned into actual double plays by a pitcher or hitter.'; xxxpxxxxx1160845280_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. '; xxxpxxxxx1160845280_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).'; xxxpxxxxx1160845280_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. '; xxxpxxxxx1160845280_25 = 'Batting average (hitters) or batting average allowed (pitchers).'; xxxpxxxxx1160845280_26 = 'Average number of pitches per start.'; xxxpxxxxx1160845280_27 = 'Average Pitcher Abuse Points per game started.'; xxxpxxxxx1160845280_28 = 'Singles or singles allowed.'; xxxpxxxxx1160845280_29 = 'Batting average; hits divided by at-bats.'; xxxpxxxxx1160845280_30 = 'Percentage of pitches thrown for balls.'; xxxpxxxxx1160845280_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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