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  2. Statistical association football predictions - Wikipedia

    en.wikipedia.org/wiki/Statistical_association...

    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.

  3. ESPN Computer’s Prediction For Bucs vs. Giants Tonight - AOL

    www.aol.com/espn-computer-prediction-bucs-vs...

    Tonight’s Monday Night Football game pits one of the NFC’s best teams against its very worst as the Tampa Bay Bucs take on the New York Giants. Despite a slew of injuries in his receiving ...

  4. PSG vs Bayern Munich prediction: How will Champions ... - AOL

    www.aol.com/psg-vs-bayern-munich-prediction...

    Everything you need to know ahead of tonight’s Champions League knockout fixture

  5. ESPN Computer’s Prediction For 49ers vs. Packers Tonight - AOL

    www.aol.com/espn-computer-prediction-49ers-vs...

    The Green Bay Packers are 5-2 with star QB Aaron Rodgers making a very strong case for NFL MVP right now. The Packers are really geling with second year head coach Matt LaFleur, and they’re ...

  6. ESPN Computer’s Prediction For Chiefs-Ravens Tonight - AOL

    www.aol.com/espn-computer-prediction-chiefs...

    In a highly-anticipated Monday Night Football matchup, the last two NFL MVPs will square off as the Kansas City Chiefs take on the Baltimore Ravens. The defending Super Bowl champion Chiefs are ...

  7. Pythagorean expectation - Wikipedia

    en.wikipedia.org/wiki/Pythagorean_expectation

    Initially the correlation between the formula and actual winning percentage was simply an experimental observation. In 2003, Hein Hundal provided an inexact derivation of the formula and showed that the Pythagorean exponent was approximately 2/(σ √ π) where σ was the standard deviation of runs scored by all teams divided by the average number of runs scored. [8]

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