The objective of this study is to use data relating to the past sports performance of individual players in the Volleyball Serie A, to predict at the beginning of the championship which teams will access the final phase of the championship, the Playoffs, following the Regular Season phase. . For this work, the data relating to the men’s volleyball Serie A seasons from the 2001/02 to the 2017/18 season were taken into consideration. Specifically, the data regarding the performance of each individual athlete season by season were considered. Each team is therefore represented by the set of players who make up the squad at the beginning of the season. The aim of the work was to identify supervised learning models capable of predicting future events using information on past events.
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