Difference between revisions of "Sports analytics"

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'''Sports analytics''' are a collection of statistics or biometric data that can provide a team or individual a competitive advantage. Through the collection, refinement, and analysis of data, analysts, coaches, and other staff members are able to inform athletes about their performance in order to facilitate decision making both during and prior to sporting events. The term "sports analytics" was popularized by the 2011 film, ''Moneyball'', in which Oakland Athletics General Manager Billy Beane (played by Brad Pitt) relies heavily on the use of player analytics to build a competitive MLB team on a limited budget.
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'''Sports analytics''' are a collection of statistics or biometric data that can provide a team or individual a competitive advantage. Through the collection, refinement, and analysis of data, coaches and other staff members are able to inform athletes about their performance in order to assist decision making both during and prior to sporting events. The term "sports analytics" was popularized by the 2011 film, ''Moneyball'', in which Oakland Athletics General Manager Billy Beane (played by Brad Pitt) relies heavily on the use of player analytics to build a competitive MLB team on a limited budget.
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There are two main types of sports analytics - on-field analytics and off-field analytics. On-field analytics involves tracking key on-field metrics that may influence an athlete's methodologies and in-game strategy. It also involves tracking an athlete's biometric data and vitals to influence their training or performance levels. Off-field analytics deals with the business side of sports. It handles monitoring key off-field metrics like ticket sales, merchandise sales, and fan engagement. Essentially, it provides shareholders with information that would lead to higher growth and profits.
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Sports analytics have also had a significant impact on [[Online Sports Betting]] as bettors now have access to more information to aid decision making. New avenues of gambling, like parlays and fantasy leagues have lead to the rise of new analytical tools. For example, companies and webpages can now provide fans with up to the minute information for their betting needs.
  
 
== Sport-specific analytics ==
 
== Sport-specific analytics ==

Revision as of 18:28, 19 January 2023

Sports analytics are a collection of statistics or biometric data that can provide a team or individual a competitive advantage. Through the collection, refinement, and analysis of data, coaches and other staff members are able to inform athletes about their performance in order to assist decision making both during and prior to sporting events. The term "sports analytics" was popularized by the 2011 film, Moneyball, in which Oakland Athletics General Manager Billy Beane (played by Brad Pitt) relies heavily on the use of player analytics to build a competitive MLB team on a limited budget.

There are two main types of sports analytics - on-field analytics and off-field analytics. On-field analytics involves tracking key on-field metrics that may influence an athlete's methodologies and in-game strategy. It also involves tracking an athlete's biometric data and vitals to influence their training or performance levels. Off-field analytics deals with the business side of sports. It handles monitoring key off-field metrics like ticket sales, merchandise sales, and fan engagement. Essentially, it provides shareholders with information that would lead to higher growth and profits.

Sports analytics have also had a significant impact on Online Sports Betting as bettors now have access to more information to aid decision making. New avenues of gambling, like parlays and fantasy leagues have lead to the rise of new analytical tools. For example, companies and webpages can now provide fans with up to the minute information for their betting needs.

Sport-specific analytics

Major League Baseball (MLB)

National Basketball Association (NBA)

National Football League (NFL)

National Hockey League (NHL)

Ethics

Fair Play

Algorithm Bias

Privacy

Gambling