Basketball like any other sport has shown a great deal of use of technology in sport performance enhancing and monitoring. It is an unfamiliar territory in Zimbabwe especially at grassroots level due to lack of resources. However, this advancement in the use of technology has defined great sporting excellence. In the paper, data was collected in real time using the FIBA Europe Stats suite. The data comprised of sixteen basketball performance indicators. The main purpose of this study was to identify those critical performance indicators that most distinguish between winning and losing performances in the AUSC games 2014.
The statistical analysis was done for 15 games, the performance indicators determining the winning side and losing side varied across different matches that is in balanced matches (12 points different and below), unbalanced matches (14 to 63 points difference), very unbalanced (63 and over) and in matches where the teams met twice. In balanced matches with close scores of 12 and below the critical performance indicators which showed great significance in determining the winning side in the order of significance were defensive rebounds (p<0.05), offensive rebounds (p<0.05), assists (p<0.05). In teams which met twice in the competition, successful free throws (p<0.05), assists (p<0.05), turnovers (p<0.05) and defensive rebounds determined the winning side.
Inhaltsverzeichnis (Table of Contents)
- Introduction and Background
- Material and Methods
- Sample and variables
- Statistical analysis
- Results
Zielsetzung und Themenschwerpunkte (Objectives and Key Themes)
The main objective of this study is to identify critical basketball performance indicators that differentiate between winning and losing teams in the AUSC 2014 Games. The research focuses on analyzing game-related statistics in various match situations, including balanced, unbalanced, and very unbalanced matches, as well as matches where teams met twice.
- The significance of performance indicators in determining winning and losing teams.
- The impact of different match situations on performance indicator significance.
- The use of statistical analysis to identify key performance indicators.
- The importance of notational analysis in basketball performance enhancement.
- The relationship between performance indicators and game outcome.
Zusammenfassung der Kapitel (Chapter Summaries)
The introduction sets the stage for the study, highlighting the importance of performance indicators in basketball and the limitations of traditional methods in Zimbabwe. The study aims to contribute to the understanding of game-related statistics and their impact on outcomes.
The "Material and Methods" section describes the data collection process, the sample size, and the statistical techniques used. The study utilized FIBA Europe Stats Suite to collect live data during the AUSC 2014 Games. This data was analyzed using SPSS software version 16.0, with an emphasis on identifying differences between winning and losing teams.
The "Results" section presents the findings of the statistical analysis, including descriptive statistics and graphs. The analysis focused on identifying statistically significant performance indicators across different match situations.
Schlüsselwörter (Keywords)
The study's key themes are basketball, statistical analysis, performance indicators, balanced matches, and notational analysis. The research focuses on identifying and evaluating the significance of specific performance indicators in predicting game outcomes across different match situations.
- Quote paper
- Raphael Mhiripiri (Author), 2015, Identifying Basketball Performance Indicators, Munich, GRIN Verlag, https://www.grin.com/document/1281173
