Özet:

One of the most important factors affecting the outcome of the match in volleyball is the attacking skills of the players and the attacks that they result in score points (attack score points) throughout the match. In this respect, determining the variables that affect the attack score points and being aware of these variables by the coach and the players, has importance for the victory. For this purpose, in the study, using the attack data after the 20th scores of the players in the 2018-2019 Turkish Volleyball Federation Sultans Volleyball League (TVFSVL) teams; it was examined whether the variables nationality, player position, number of good attacks (positive attacks), number of bad attacks (negative attacks), failure to attack, and blocked attacks, have an effect on the attacks that resulted in score points. CHAID (Chi-squared Automatic Interaction Detection) algorithm, which is one of the decision tree techniques and is frequently used in data mining applications due to its easy interpretation, was used to determine the effective variables. As a result of the analysis, it was determined that the player position does not affect the attack score points at all, and the number of bad attacks is the variable that most affected the attack score points among the other variables.

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