Is Football/Soccer Purely Stochastic, Made Out of Luck, or Maybe Predictable? How Does Bayesian Reasoning Assess Sports?

نویسندگان

چکیده

Predicting the game score is a well-explored duty, using mathematical/statistical models. Nonetheless, by adopting Bayesian methodology, this study aimed to estimate probabilistically Chilean Premier League teams’ position, considering them hierarchical structure. This approach enabled evaluation of main championship that provides major soccer players for national team. Thus, countable (Poisson) regression structure was considered explain each match as combination home advantage, added power attack and defense team their performance in an independent game. We were able quantify relationship across and, addition, group/verify entirety 2020 League. For model validation, we saved last five games prediction found that, league, teams presented statistical significance factors, which influences scores (goals); however, all showed low have also playing at or away did not present advantage. Our predict league position table, with precision on top positions, from 6–11 positions there small shift (close championship) caused similarity expected number goals, implied same rank. type has been shown be very competitive prediction.

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ژورنال

عنوان ژورنال: Axioms

سال: 2021

ISSN: ['2075-1680']

DOI: https://doi.org/10.3390/axioms10040276