Computer-aided scouting

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Computer-aided sports scouting is the use of data analysis by computer to assist sports scouts to identify and recruit new talented players. Pioneers like Bill James began to analyze the data and apply mathematical principals and new non-conventional formulas to predict success and failures of a baseball player or team, a development called sabermetrics.

In professional sports, scouts are experienced talent evaluators who travel extensively for the purposes of watching athletes play their chosen sports and determining whether their set of skills and talents represent what is needed by the scout's organization. Some scouts are interested primarily in the selection of prospects, younger players who may require further development by the acquiring team but who are judged to be worthy of that effort and expense for the potential future payoff that it could bring, while others concentrate on players who are already polished professionals whose rights may be available soon, either through free agency or trading, and who are seen as filling a team's specific need at a certain position. Advance scouts watch the teams that their teams are going to play in order to help determine strategy.

Bill James American baseball writer and statistician

George William James is an American baseball writer, historian, and statistician whose work has been widely influential. Since 1977, James has written more than two dozen books devoted to baseball history and statistics. His approach, which he termed sabermetrics in reference to the Society for American Baseball Research (SABR), scientifically analyzes and studies baseball, often through the use of statistical data, in an attempt to determine why teams win and lose.

Sabermetrics is the empirical analysis of baseball, especially baseball statistics that measure in-game activity.

The foundation of computer-aided scouting is statistics.

Critics circle

Computer-aided scouting began as a means for scouts and managers to log mass amounts of player and team information compiled from box scores, stat-sheets and personalized specific information pertaining to players and teams. This information was interpreted through mathematical formulas created from research studies of each sport. Once this information was tabulated, team personnel begin to implement these results into the game. After early positive results, many professional teams adopted mathematical tools for player and game management.

Box score

A box score is a structured summary of the results from a sport competition. The box score lists the game score as well as individual and team achievements in the game.

MLB and the NBA begin to employ these analysis and move them into prominent roles inside their teams as Scouts to even General Managers. The marriage between Computer-aided Scouting and human eye Scouting has been at odds for over a decade. Both ways of scouting have proven to be as viable and valuable as the other.[ citation needed ] The NCAA has adapted a rating system produced by Jeff Sagarin that uses computer-aided scouting to a science to better understand the strength and weaknesses of a team as a rating.

Jeff Sagarin is an American sports statistician known for his development of a method for ranking and rating sports teams in a variety of sports. His ratings have been a regular feature in the USA Today sports section since 1985, have been used by the NCAA Tournament Selection Committee to help determine the participants in the NCAA Men's Division I Basketball Championship tournament since 1984, and were part of the college football Bowl Championship Series throughout its history from 1998 to 2014.

Computer-aided scouting has adapted mathematical formulas by taking into account an existing or potential players value to his team, his physical attributes, and even projected success/failures against a variety of situations and potential opponents. Some of these methods have been published by members of sabermetrics for baseball and APBR for basketball.

Baseball Sport

Baseball is a bat-and-ball game played between two opposing teams who take turns batting and fielding. The game proceeds when a player on the fielding team, called the pitcher, throws a ball which a player on the batting team tries to hit with a bat. The objectives of the offensive team are to hit the ball into the field of play, and to run the bases—having its runners advance counter-clockwise around four bases to score what are called "runs". The objective of the defensive team is to prevent batters from becoming runners, and to prevent runners' advance around the bases. A run is scored when a runner legally advances around the bases in order and touches home plate. The team that scores the most runs by the end of the game is the winner.

APBRmetrics is a term used by a few to refer to the analysis of basketball through objective evidence, especially basketball statistics. APBRmetrics is a cousin to the study of baseball statistics, known as Sabermetrics, and similarly takes its name from the acronym APBR, which stands for the Association for Professional Basketball Research.

Basketball team sport played on a court with baskets on either end

Basketball is a team sport in which two teams, most commonly of five players each, opposing one another on a rectangular court, compete with the primary objective of shooting a basketball through the defender's hoop while preventing the opposing team from shooting through their own hoop. A field goal is worth two points, unless made from behind the three-point line, when it is worth three. After a foul, timed play stops and the player fouled or designated to shoot a technical foul is given one or more one-point free throws. The team with the most points at the end of the game wins, but if regulation play expires with the score tied, an additional period of play (overtime) is mandated.

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Robert "Voros" McCracken is an American baseball sabermetrician. "Voros" is a nickname from his partial Hungarian heritage. He is widely recognized for his pioneering work on Defense Independent Pitching Statistics (DIPS).

In American college football, the 2007 BCS computer rankings are a part of the Bowl Championship Series (BCS) formula that determines who plays in the BCS National Championship Game as well as several other bowl games. Each computer system was developed using different methods which attempts to rank the teams performance. For 2007, the highest and lowest rankings for a team are dropped and the remaining four rankings are summed. A team ranked #1 by a computer system is given 25 points, #2 is given 24 points and so forth. The summed values are then divided by 100. The values are then ranked by percentage. This percentage ranking is then averaged with the Coaches Poll and Harris Poll average rankings, each receiving equal weight, and the results become the BCS Rankings.

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References

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