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  2. Win probability - Wikipedia

    en.wikipedia.org/wiki/Win_Probability

    Win probability is a statistical tool which suggests a sports team's chances of winning at any given point in a game, based on the performance of historical teams in the same situation. [1] The art of estimating win probability involves choosing which pieces of context matter.

  3. WASP (cricket calculation tool) - Wikipedia

    en.wikipedia.org/wiki/WASP_(cricket_calculation...

    Winning and Score Predictor (WASP) is a calculation tool used in cricket to predict scores and possible results of a limited overs match, e.g. One Day and Twenty 20 matches. The prediction is based upon factors like the ease of scoring on the day according to the pitch, weather and boundary size.

  4. 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.

  5. Rose Bowl predictions: Who wins the College Football Playoff ...

    www.aol.com/rose-bowl-predictions-wins-college...

    The earlier game between these two came down to an Ohio State offensive pass interference penalty that preceded a final play where time expired before a potential game-winning field goal.

  6. College Football Playoff quarterfinal schedule, matchups ...

    www.aol.com/sports/college-football-playoff-odds...

    We have a new favorite to win the College Football Playoff after the first round. No. 5 seed Texas is +300 to win it all at BetMGM after its 38-24 win over No. 12 Clemson on Saturday.

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  8. Log5 - Wikipedia

    en.wikipedia.org/wiki/Log5

    Log5 is a method of estimating the probability that team A will win a game against team B, based on the odds ratio between the estimated winning probability of Team A and Team B against a larger set of teams.

  9. Expected goals - Wikipedia

    en.wikipedia.org/wiki/Expected_goals

    Quantitatively we find for the AP group about 0.15 more goals per home match than expected and, allowing for the lower than expected goals against in home matches, an excess goal difference (for home matches) of about 0.31 goals per home match. Over a season this yields about 3 more goals for, an improved goal difference of about 6 goals.