TAILIEUCHUNG - A data analytics approach to player assessment

This study develops model to assess the performance and thereby forecast ranking of players through data available in public domain at The Fédération Internationale de Football Association. | A data analytics approach to player assessment International Journal of Management IJM Volume 11 Issue 1 January 2020 pp. 119 137 Article ID IJM_11_01_013 Available online at http ijm JType IJM amp VType 11 amp IType 1 Journal Impact Factor 2019 Calculated by GISI ISSN Print 0976-6502 and ISSN Online 0976-6510 IAEME Publication Scopus Indexed A DATA ANALYTICS APPROACH TO PLAYER ASSESSMENT Nitin Singh Professor Operations Management amp Information Systems IIM Ranchi India ABSTRACT There is abundance of data in the new digital age which can be harnessed to gather insights through application of data analytics. This study develops model to assess the performance and thereby forecast ranking of players through data available in public domain at The Fédération Internationale de Football Association. The study applies Principal Component Analysis followed by classification. A combination of these two approaches seeks to determine ranking of players and to classify them in different categories. Results indicate that player ranks can be predicted and classified on their playing attributes and accordingly an appropriate selection decision can be made. Keywords data analytics forecasting sport management machine learning principal component regression. Cite this Article Nitin Singh A Data Analytics Approach to Player Assessment International Journal of Management IJM 11 1 2020 pp. 119 137. http IJM JType IJM amp VType 11 amp IType 1 1. INTRODUCTION A variety of data-capture technologies exist in the new digital age. These technologies allow sport management firms to capture and collect data on games players playing styles scores and many other game player attributes. This data can be harnessed to gather insights through the application of data analytics. There have also been several discussions around this issue in literary and business circles. The Fédération Internationale de Football Association

• Kỹ năng tư duy
• Forecast ranking of players
• Fédération Internationale de Football Association
• Principal Component Analysis
• Principal component regression
• Application of data analytics
• Knowledge discovery
• Data analytics
• Biomedical domain
• Yet dramatic statements
• WEKA data mining framework