CSS Button No Image Css3Menu.com

Baseball Prospectus home
  
  
Click here to log in Click here for forgotten password Click here to subscribe

Vote in the Internet Baseball Awards for a chance at a free copy of Dollar Sign on the Muscle
Voting ends in 16 days and 18 hours

Articles Tagged Home Plate 

Search BP Articles

All Blogs (including podcasts)

Active Columns

Authors

Article Types

Archives

02-05

comment icon

3

Punk Hits: Top Team Cookbooks, Part 2
by
Ian Miller

09-04

comment icon

12

Baseball ProGUESTus: When Sexism and Home Plate Collisions Collide
by
Hunter Felt

08-14

comment icon

2

Value Picks: First, Third, and DH for 8/14/12
by
Michael Street

07-13

comment icon

48

The Lineup Card: Cult Favorites: 18 Non-Star Ballplayers Who Should be Better Remembered
by
Baseball Prospectus

07-12

comment icon

7

Painting the Black: Mid-season Heroes and Goats, Part 1
by
R.J. Anderson

06-22

comment icon

0

Fantasy Beat: Opposite Field Power
by
Craig Brown

05-23

comment icon

6

Fantasy Beat: Power Trippin'
by
Jason Collette

07-22

comment icon

6

Changing Speeds: Cold Fusion
by
Ken Funck

12-15

comment icon

18

Baseball Therapy: Home-Field Advantage
by
Russell A. Carleton

09-22

comment icon

35

Checking the Numbers: Perceived Velocity
by
Eric Seidman

08-26

comment icon

13

You Could Look It Up: Don't Fence Me In
by
Steven Goldman

08-11

comment icon

66

Ahead in the Count: Home-Field Advantages, Part One
by
Matt Swartz

05-18

comment icon

34

Prospectus Today: The Play
by
Joe Sheehan

05-17

comment icon

12

Prospectus Q&A: Jim Palmer
by
David Laurila

07-27

comment icon

0

Lies, Damned Lies: Fixing It
by
Nate Silver

07-02

comment icon

0

Watching the Detectives
by
Mike Carminati

06-04

comment icon

0

Watching the Detectives
by
Mike Carminati

10-16

comment icon

0

Future Shock: Monday Morning Ten-Pack
by
Kevin Goldstein

10-16

comment icon

0

Prospectus Today: LCS, Day Six
by
Joe Sheehan

10-14

comment icon

0

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

10-14

comment icon

0

Prospectus Today: LCS, Day Four
by
Joe Sheehan

10-14

comment icon

0

Playoff Prospectus: The Best and Worst of Mets and Cardinals Postseason Pitching
by
Jim Baker

10-13

comment icon

0

Prospectus Today: LCS, Day Three
by
Joe Sheehan

10-12

comment icon

0

Prospectus Today: The Games Go On
by
Joe Sheehan

10-12

comment icon

0

Player Profile
by
Marc Normandin

10-11

comment icon

0

Remembering Buck O'Neil
by
Alex Belth

10-11

comment icon

0

Prospectus Today: LCS, Day One
by
Joe Sheehan

10-09

comment icon

0

Completely Random Statistical Trivia
by
Keith Woolner

10-09

comment icon

0

Prospectus Today: Division Series, Day Six
by
Joe Sheehan

10-07

comment icon

0

Prospectus Today: Division Series, Day Four
by
Joe Sheehan

10-06

comment icon

0

Prospectus Today: Division Series, Day Three
by
Joe Sheehan

10-06

comment icon

0

Prospectus Matchups: October Musings
by
Jim Baker

10-05

comment icon

0

Prospectus Today: Division Series, Day Two
by
Joe Sheehan

05-17

comment icon

0

Ticket Price Survey
by
Doug Pappas

04-30

comment icon

0

Ticket Price Survey
by
Doug Pappas

04-27

comment icon

0

Ticket Price Survey
by
Doug Pappas

10-05

comment icon

0

Prospectus Today: It's a Beautiful Game Because It Surprises You
by
Joe Sheehan

10-12

comment icon

0

Call It In The Air!
by
Dave Pease

<< Previous Tag Entries Next Tag Entries >>

This is a BP Premium article. To read it, sign up for Premium today!

October 12, 2006 12:00 am

Player Profile

0

Marc Normandin

The A's second-best hitter showed considerable improvement in his second full season in the majors.

\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.'; xxxpxxxxx1160675573_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.'; xxxpxxxxx1160675573_19 = 'Support Neutral Lineup-adjusted Value Added (SNVA adjusted for the MLVr of batters faced) per game pitched.'; xxxpxxxxx1160675573_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).'; xxxpxxxxx1160675573_21 = 'The percentage of double play opportunities turned into actual double plays by a pitcher or hitter.'; xxxpxxxxx1160675573_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. '; xxxpxxxxx1160675573_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).'; xxxpxxxxx1160675573_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. '; xxxpxxxxx1160675573_25 = 'Batting average (hitters) or batting average allowed (pitchers).'; xxxpxxxxx1160675573_26 = 'Average number of pitches per start.'; xxxpxxxxx1160675573_27 = 'Average Pitcher Abuse Points per game started.'; xxxpxxxxx1160675573_28 = 'Singles or singles allowed.'; xxxpxxxxx1160675573_29 = 'Batting average; hits divided by at-bats.'; xxxpxxxxx1160675573_30 = 'Percentage of pitches thrown for balls.'; xxxpxxxxx1160675573_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. '; xxxpxxxxx1160675573_32 = 'Approximate number of batting outs made while playing this position.'; xxxpxxxxx1160675573_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. '; xxxpxxxxx1160675573_34 = 'Bases on Balls, or bases on balls allowed.'; xxxpxxxxx1160675573_35 = 'Bases on balls allowed per 9 innings pitched.'; xxxpxxxxx1160675573_36 = 'Batters faced pitching.'; xxxpxxxxx1160675573_37 = 'Balks. Not recorded 1876-1880.'; xxxpxxxxx1160675573_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.'; xxxpxxxxx1160675573_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.'; xxxpxxxxx1160675573_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.

The rest of this article is restricted to Baseball Prospectus Subscribers.

Not a subscriber?

Click here for more information on Baseball Prospectus subscriptions or use the buttons to the right to subscribe and get access to the best baseball content on the web.


Cancel anytime.


That's a 33% savings over the monthly price!


That's a 33% savings over the monthly price!

Already a subscriber? Click here and use the blue login bar to log in.

October 11, 2006 12:00 am

Remembering Buck O'Neil

0

Alex Belth

A great ambassador for the game--and for humanity--passed away last week.

\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.'; xxxpxxxxx1160583428_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.'; xxxpxxxxx1160583428_19 = 'Support Neutral Lineup-adjusted Value Added (SNVA adjusted for the MLVr of batters faced) per game pitched.'; xxxpxxxxx1160583428_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).'; xxxpxxxxx1160583428_21 = 'The percentage of double play opportunities turned into actual double plays by a pitcher or hitter.'; xxxpxxxxx1160583428_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. '; xxxpxxxxx1160583428_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).'; xxxpxxxxx1160583428_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. '; xxxpxxxxx1160583428_25 = 'Batting average (hitters) or batting average allowed (pitchers).'; xxxpxxxxx1160583428_26 = 'Average number of pitches per start.'; xxxpxxxxx1160583428_27 = 'Average Pitcher Abuse Points per game started.'; xxxpxxxxx1160583428_28 = 'Singles or singles allowed.'; xxxpxxxxx1160583428_29 = 'Batting average; hits divided by at-bats.'; xxxpxxxxx1160583428_30 = 'Percentage of pitches thrown for balls.'; xxxpxxxxx1160583428_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. '; xxxpxxxxx1160583428_32 = 'Approximate number of batting outs made while playing this position.'; xxxpxxxxx1160583428_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. '; xxxpxxxxx1160583428_34 = 'Bases on Balls, or bases on balls allowed.'; xxxpxxxxx1160583428_35 = 'Bases on balls allowed per 9 innings pitched.'; xxxpxxxxx1160583428_36 = 'Batters faced pitching.'; xxxpxxxxx1160583428_37 = 'Balks. Not recorded 1876-1880.'; xxxpxxxxx1160583428_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.'; xxxpxxxxx1160583428_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.'; xxxpxxxxx1160583428_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.

Read the full article...

This is a BP Premium article. To read it, sign up for Premium today!

October 11, 2006 12:00 am

Prospectus Today: LCS, Day One

0

Joe Sheehan

The Tigers take on a completely different personality at the plate, and use it to win.

\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.'; xxxpxxxxx1160590386_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.'; xxxpxxxxx1160590386_19 = 'Support Neutral Lineup-adjusted Value Added (SNVA adjusted for the MLVr of batters faced) per game pitched.'; xxxpxxxxx1160590386_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).'; xxxpxxxxx1160590386_21 = 'The percentage of double play opportunities turned into actual double plays by a pitcher or hitter.'; xxxpxxxxx1160590386_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. '; xxxpxxxxx1160590386_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).'; xxxpxxxxx1160590386_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. '; xxxpxxxxx1160590386_25 = 'Batting average (hitters) or batting average allowed (pitchers).'; xxxpxxxxx1160590386_26 = 'Average number of pitches per start.'; xxxpxxxxx1160590386_27 = 'Average Pitcher Abuse Points per game started.'; xxxpxxxxx1160590386_28 = 'Singles or singles allowed.'; xxxpxxxxx1160590386_29 = 'Batting average; hits divided by at-bats.'; xxxpxxxxx1160590386_30 = 'Percentage of pitches thrown for balls.'; xxxpxxxxx1160590386_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 remainder of this post cannot be viewed at this subscription level. Please click here to subscribe.

Keith checks in with all kinds of fun facts from the completed season.

\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.'; xxxpxxxxx1160407218_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.'; xxxpxxxxx1160407218_19 = 'Support Neutral Lineup-adjusted Value Added (SNVA adjusted for the MLVr of batters faced) per game pitched.'; xxxpxxxxx1160407218_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).'; xxxpxxxxx1160407218_21 = 'The percentage of double play opportunities turned into actual double plays by a pitcher or hitter.'; xxxpxxxxx1160407218_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. '; xxxpxxxxx1160407218_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).'; xxxpxxxxx1160407218_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. '; xxxpxxxxx1160407218_25 = 'Batting average (hitters) or batting average allowed (pitchers).'; xxxpxxxxx1160407218_26 = 'Average number of pitches per start.'; xxxpxxxxx1160407218_27 = 'Average Pitcher Abuse Points per game started.'; xxxpxxxxx1160407218_28 = 'Singles or singles allowed.'; xxxpxxxxx1160407218_29 = 'Batting average; hits divided by at-bats.'; xxxpxxxxx1160407218_30 = 'Percentage of pitches thrown for balls.'; xxxpxxxxx1160407218_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. '; xxxpxxxxx1160407218_32 = 'Approximate number of batting outs made while playing this position.'; xxxpxxxxx1160407218_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. '; xxxpxxxxx1160407218_34 = 'Bases on Balls, or bases on balls allowed.'; xxxpxxxxx1160407218_35 = 'Bases on balls allowed per 9 innings pitched.'; xxxpxxxxx1160407218_36 = 'Batters faced pitching.'; xxxpxxxxx1160407218_37 = 'Balks. Not recorded 1876-1880.'; xxxpxxxxx1160407218_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.'; xxxpxxxxx1160407218_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.'; xxxpxxxxx1160407218_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.

Read the full article...

This is a BP Premium article. To read it, sign up for Premium today!

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.

The remainder of this post cannot be viewed at this subscription level. Please click here to subscribe.

This is a BP Premium article. To read it, sign up for Premium today!

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.

The remainder of this post cannot be viewed at this subscription level. Please click here to subscribe.

This is a BP Premium article. To read it, sign up for Premium today!

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.

The remainder of this post cannot be viewed at this subscription level. Please click here to subscribe.

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.

Read the full article...

This is a BP Premium article. To read it, sign up for Premium today!

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.

The remainder of this post cannot be viewed at this subscription level. Please click here to subscribe.

May 17, 2004 12:00 am

Ticket Price Survey

0

Doug Pappas

The fifth installment of the series tours the majors' largest division, the NL Central. Four of the six clubs in the division have moved into new ballparks since 2000, yet the one that's virtually sold out for the season is the one that plays in a 90-year-old park built for the Federal League. The Reds, Brewers and Pirates are Exhibits A, B and C for the proposition that a new ballpark doesn't ensure on-field success. Once again, I shopped the clubs' Web sites on MLB.com to see which seats a fan could hope to buy two or three weeks in advance, and how much a typical fan, or a typical family could expect to pay. That didn't work for the Cubs, who were sold out three months in advance, but everywhere else, typical fans are likely to pay less than Team Marketing Report's Fan Cost Index suggests they would.

The fifth installment of the series tours the majors' largest division, the NL Central. Four of the six clubs in the division have moved into new ballparks since 2000, yet the one that's virtually sold out for the season is the one that plays in a 90-year-old park built for the Federal League. The Reds, Brewers and Pirates are Exhibits A, B and C for the proposition that a new ballpark doesn't ensure on-field success.

Once again, I shopped the clubs' Web sites on MLB.com to see which seats a fan could hope to buy two or three weeks in advance, and how much a typical fan, or a typical family could expect to pay. That didn't work for the Cubs, who were sold out three months in advance, but everywhere else, typical fans are likely to pay less than Team Marketing Report's Fan Cost Index suggests they would.

Read the full article...

April 30, 2004 12:00 am

Ticket Price Survey

0

Doug Pappas

This is the second installment of my six-part survey of how much fans can actually expect to pay for tickets to major league games. I choose a mid-week game, then shop for tickets on MLB.com a few weeks in advance. First I look for a block of casual fan seats: ideally, four behind the plate and towards the front of the upper deck. These are usually, but not always, cheaper than the average price ticket used by Team Marketing Report to calculate the Fan Cost Index. Then I repeat the process three more times. Twice I look for the best available seats, as determined by the MLB.com ticket computer--once for a family of four and once for a single fan. The seats available for the family of four serve as a rough proxy for the club's season-ticket and advance sales, while the best single-seat option shows where a fan who doesn't care about the cost can sit without paying scalpers' prices. Finally, I look for the cheapest seats to find the lowest a fan using MLB.com could pay to get into the ballpark. To complete the survey, I check the club Web sites for promotions that could reduce the cost of my hypothetical fan's attendance, scan the club's promotional schedule for unusual events, and put it all together in the form below...

Then I repeat the process three more times. Twice I look for the "best available seats," as determined by the MLB.com ticket computer--once for a family of four and once for a single fan. The seats available for the family of four serve as a rough proxy for the club's season-ticket and advance sales, while the best single-seat option shows where a fan who doesn't care about the cost can sit without paying scalpers' prices. Finally, I look for the cheapest seats to find the lowest a fan using MLB.com could pay to get into the ballpark.

To complete the survey, I check the club Web sites for promotions that could reduce the cost of my hypothetical fan's attendance, scan the club's promotional schedule for unusual events, and put it all together in the form below:

Read the full article...

April 27, 2004 12:00 am

Ticket Price Survey

0

Doug Pappas

Last week I identified some of the problems with the "Fan Cost Index" developed by Team Marketing Report. One of the biggest issues, TMR's use of average ticket prices to calculate how much a typical family of four could expect to pay to see a game, has to be addressed on a team-by-team basis. This is the first of six articles that will do so. I'm starting with the AL East. My hypothetical customers decide a few weeks in advance which game they plan to attend, then shop for tickets on MLB.com. To keep the methodology constant, I'm ignoring any special knowledge I may have about a particular stadium's seats, seating and ticketing policies, and relying entirely on what I can find on MLB.com.

My hypothetical customers decide a few weeks in advance which game they plan to attend, then shop for tickets on MLB.com. To keep the methodology constant, I'm ignoring any special knowledge I may have about a particular stadium's seats, seating and ticketing policies, and relying entirely on what I can find on MLB.com.

For each game, I looked for four types of tickets. The most important, for these purposes, is a block of four "casual fan" seats--the ones that Team Marketing Report's hypothetical family would probably sit in. In checking out the options, I used my own seating preferences; in particular, I'd rather have a better angle on the action from the upper deck than a seat closer to the diamond but far down the lines. I went through the ticketing process up to the point where I was asked for my credit card, taking note of the service charges and processing fees that magically appeared along the way. (Since Team Marketing Report doesn't count these, neither did I.)

Read the full article...

<< Previous Tag Entries Next Tag Entries >>