This masters thesis focuses on a statistical and point-based model considering the 1st Slovenian
Volleyball League for the season of 2023/2024. The focus is predominantly on the regular season
as well as the playoffs, with special emphasis on the first four teams in the league. We were
interested in finding out which were the crucial performance indicators and at the same time
comparing how the statistical and point models differ. The analysis was based on the Data Volley
software while the hypotheses were tested with Wilcoxon tests.
After comparing the regular season and the playoffs we can confirm that there were no significant
differences between the two. This proves that the teams are consistent and stable through the
whole season. In the playoff phase, teams scored majority of the points through blocks and
attacks. At the same time, the opponents made less errors, however the differences were so
insignificant that they cannot be statistically confirmed.
This thesis has theoretical and practical value. Focusing on the theoretical parts, it helps explain
the structure and patterns of volleyball in the Slovenian league in a simple way while at the same
time provides a comparison with the international game. Considering its practical value, it
provides the insight into the key elements of the game which is especially beneficial for coaches
since this can be a good base for preparing training plans, tactical strategies, and overall team
development. Possible limitations of the research are the fact that the sample is small and the
overall number of games is limited. Despite that, the study can still provide direction for further
research, however, it should include more season, teams, and at the same time consider
individual characteristics of each player.
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