Computer-aided scouting: Difference between revisions

Revision as of 09:32, 7 November 2009

Revision as of 19:46, 4 December 2009

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==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 throughout the years. This information was interpreted through advanced Mathematical formulas created from extensive research studies of each sport. Once this information was derived team personnel begin to implement these results into the game. Many teams began to experience an undeniable scale of success and the background of their success began to leak to the mainstream media and other professional teams. Soon nearly every team in some way or the other uses computer-aided scouting to aide and gauge the performance and value of players and the teams the teams they are on or compete against.

ScoutingGuru is also been a term loosely used to describe GMs or scouts that find talent that defies the main stream scouts and media. When a player is brought in as a free agent there isn't much fanfare, but if he is drafted the critics come out in droves to criticize that teams scouting department for not taking a mainstream hyped player. The criticism is mainly created by the media and fans to support their lack of understanding or knowledge of a players potential. These players are also known as '''flying under the radar''' if suddenly other teams take a late interest.

Some advanced objectives of Computer-aided Scouting was to find a way that Professionals could use this information as an aid, but many scouts simply refuse to recognize its value and instead other front office personnel and coaches lean on the person doing the analysis and research to explain his/her findings. Most researchers try to find a foundational formula that directly correlates success and failure through repetition and professional knowledge.

Computer-aided Scouting that uses any formula less than 4 years has to be deemed at best analytical more than scientific. Simply because most computer aided scouting is done by a measure of success and/or failures of players during that particular span of time. Due to the fact the game statistically changes every 15–20 years it is important for the methods use to analyze and project evolve with the game.

MLB and thee 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.

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.

Computer-aided Scouting has adapted many unique mathematical formulas by taken 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. Many of the actual formulas can be found in many books and articles that are written by members are founders of[[Sabermetrics]] for baseball and [[APBR]] for basketball.

Computer-aided Scouting is now on the frontier of capology for all major sports in determining values of each player and the foreseeable effects of signing a player to a short or long term contract versus the team salary cap which all major sports must abide by.

Computer-aided Scouting is largely being used with Microsoft Excel Spreadsheet and from there it the information is transfered to a personal or team private database.

==References==