Automated Player Selection for a Sports Team using Competitive Neural Networks
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 8
Abstract
The use of data analytics to constitute a winning team for the least cost has become the standard modus operandi in club leagues, beginning from Sabermetrics for the game of basketball. Our motivation is to implement this enomenon in other sports as well, and for the purpose of this work we present a model for football, for which to the best of our knowledge, previous work does not exist. The main objective is to pick the best possible squad from an available pool of players. This will help decide which team of 11 football players is best to play against a particular opponent, perform prediction of future matches and helps team management in preparing the team for the future. We argue in favour of a semi-supervised learning approach in order to quantify and predict player performance from team data with mutual influence among players, and report win accuracies of around 60%.
Authors and Affiliations
Rabah Al-Shboul, Tahir Syed, Jamshed Memon, Furqan Khan
Keywords
Related Articles
- EP ID EP260653
- DOI 10.14569/IJACSA.2017.080859
- Views 98
- Downloads 0
A Survey on the Internet of Things Software Arhitecture
The Internet of Things (IoT) is a concept and a paradigm that considers the pervasive presence in the environment of a variety of things/objects through wired or wireless that are uniquely addressed and are able to inter...
A Novel Ball on Beam Stabilizing Platform with Inertial Sensors
This research paper presents dynamic modeling of inertial sensor based one degree of freedom (1-DoF) stabilizing platform. Plant is a ball on a pivoted beam. Nonlinear modeling of the plant is done. Ball position on beam...
Cross Site Scripting: Detection Approaches in Web Application
Web applications have become one of the standard platforms for service releases and representing information and data over the World Wide Web. Thus, security vulnerabilities headed to various type of attacks in web appli...
Hashtag Generator and Content Authenticator
: In the recent past, Online Marketing applications have been a focus of research. But still there are enormous challenges on the accuracy and authenticity of the content posted through social media. And if the social me...
Efficient Load Balancing in Cloud Computing using Multi-Layered Mamdani Fuzzy Inference Expert System
In this article, a new Multi-Layered mamdani fuzzy inference system (ML-MFIS) is propound for the Assessment of Efficient Load Balancing (ELB). The proposed ELB-ML-MFIS expert System can categorise the level of ELB in Cl...