Relationship between game-related statistics in elite men`s beach handball and the final result: a classification tree approach

(Beziehung zwischen spielbezogenen Statistiken im Beachhandball im männlichen Spitzenbereich und dem Endergebnis: ein Klassifikationsbaum-Ansatz)

This study`s objectives were to (i) to compare beach handball game-related statistics by match outcome (winning and losing teams) and (ii) to develop a multivariate model explaining the performance in elite men`s beach handball. Seventy-two matches of the VIII Men`s Beach Handball World Championship held in Kazan (Russia) in 2018 were analysed. The dependent variable was match outcome (winning and losing teams), and the independent variables were the game-related statistics. A paired sample t-test was used to examine differences between teams. The effect sizes of the differences were calculated. The data were subjected to a multivariate analysis in the form of a regression and classification tree. The game statistics with the greatest effect size (ES=0.88) and which differentiated the winning and losing teams were the team`s overall valuation and total points. The classification and regression tree model correctly classified 94.5% of the records on the basis of eight variables distributed over 20 nodes: overall valuation, goalkeeper blocked spin-shots, goalkeeper received spin-shots, goalkeeper received one-pointer, spin-shot goals, specialist goals, blocks, technical fouls. Coaches could apply these results to seek better performance in the goalkeeper position and in two-pointer goals.
© Copyright 2019 International Journal of Performance Analysis in Sport. Taylor & Francis. Alle Rechte vorbehalten.

Schlagworte: Handball Wettkampf international Statistik Belag Spielposition
Notationen: Spielsportarten
Tagging: beach handball Torwart
DOI: 10.1080/24748668.2019.1642040
Veröffentlicht in: International Journal of Performance Analysis in Sport
Veröffentlicht: 2019
Jahrgang: 19
Heft: 4
Seiten: 584-594
Dokumentenarten: Artikel
Sprache: Englisch
Level: hoch