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Statistical Football prediction is a method used in sports betting, to predict the outcome of football matches by means of statistical tools. The goal of statistical match prediction is to outperform the predictions of bookmakers [ citation needed ] [ dubious – discuss ] , who use them to set odds on the outcome of football matches.
They formed in Las Vegas in 1980 and successfully wagered on college football and basketball games for years making millions. Michael Kent, co-founder and one of the lesser-known individuals of the group, would use his computer software to run through massive amounts of data, which then provided the group's network of bettors with useful ...
In making a bet where the expected value is positive, one is said to be getting "the best of it". For example, if one were to bet $1 at 10 to 1 odds (one could win $10) on the outcome of a coin flip, one would be getting "the best of it" and should always make the bet (assuming a rational and risk-neutral attitude with linear utility curves and have no preferences implying loss aversion or the ...
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Stats Perform (formerly STATS, LLC and STATS, Inc.) is a sports AI company formed through the combination of Stats and Perform. [1]The company is involved in sports data collection and predictive analysis for use across various sports sectors including professional team performance, digital, media, broadcast and betting.
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The system evolved from a collection of printed reports and info graphics into video analysis software and statistical data tools supplied to professional and amateur football teams, [1] governing bodies/professional organizations [2] and media partners around the world. Match Analysis is one of the pioneers of statistical analysis in football.
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