Weighted ELO rating predictions in tennis

04 Pubblicazione in atti di convegno
Candila Vincenzo, De Angelis Luca, Angelini Giovanni

Several methods are available in literature for estimating the probability of winning in tennis, such as the regression-based, point-based and pairedcomparison
approaches, for instance. Among these latter, the ELO rating method plays a prominent role. Originally applied to tennis by the data
journalists of FiveThirtyEight.com, the ELO rating method estimates the strength of each player on the basis of the last match in order to predict
the probability of winning for the upcoming match. Notwithstanding its widely recognized merits in terms of ease of reproducibility and good
performances, the ELO rating system does not take into account the number of games won by each player in the last match(es). The aim is to
investigate the profitability of a variant of the standard ELO rating method, where also the games of the last match(es) concur to define the rating
of each player.

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