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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.
A prediction game is a game which allow users to guess at the outcome of future events. Prediction games are generally operated online and are free for users to play. Points are awarded to players who most accurately predict the outcome of an event, and those points are converted into cash prizes.
Betting systems based on statistical analysis have been around for a while, however they have not always been well known. One group that was known for their accurate predictions was called The Computer Group. They formed in Las Vegas in 1980 and successfully wagered on college football and basketball games for years making millions.
A bettor could wager that the combined score of the two teams would be either more than or less than that number. Since the combined score of that game was 45, anyone who had bet on "under" won. The bet is called a push if the actual number exactly equals the over-under, in which case all bets are refunded. [4]
In addition, there is criticism of the week-by-week changes that FPI makes, rather than making one prediction for each team. [6] College FPI was heavily criticized after week 2 of the 2017-18 college football season when the Ohio State Buckeyes were listed number one after losing big at home to the Oklahoma Sooners (Oklahoma was 2nd in FPI). [7]
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The concept of matched betting requires an account with two or more bookmakers or betting exchanges where at least one offers the user a free bet. When the free bet is placed the other bookmakers or betting exchanges are used to hedge all the possible outcomes so that no matter what happens the value of the free bet is retained. At its simplest ...
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