Main description:

This brief highlights the application of performance analysis tools in data acquisition, and various machine learning algorithms for evaluating team performance as well as talent identification in beach soccer and sepak takraw. Numerous performance indicators and human performance parameters are considered based on their relevance to each sport. The findings presented here demonstrate that the key performance indicators as well as human performance parameters can be used in the future evaluation of team performance as well as talent identification in these sports. Accordingly, they offer a valuable resource for coaches, club managers, talent identification experts, performance analysts and other relevant stakeholders involved in performance assessments.

Contents:

1. Introduction

2. Key performance indicators in elite beach soccer

2.1 Overview

2.2 Clustering

2.3 Classification

2.4 Results and Discussion

3. Technical and tactical performance indicators determining successful and unsuccessful team in elite beach soccer

3.1 Overview

3.2 Clustering

3.3 Classification

3.4 Results and Discussion

4. Identifying talent in sepak takraw via Anthropometry indexes

4.1 Overview

4.2 Clustering

4.3 Classification

4.4 Results and Discussion

5. Physical fitness parameters in the identification of high potential sepak takraw players

5.1 Overview

5.2 Clustering

5.3 Classification

5.4 Results and Discussion

6. Relationship between psycho-maturity and performance of sepak takraw

6.1 Overview

6.2 Clustering

6.3 Classification

6.4 Results and Discussion

7. Concluding Remarks