• Mohamed Hasan
• farhana Siddique
• soham Pawar
• Chetan Davale

: Player Selection is one of the most important tasks for any sport. The success or failure of any team lies in the skills and abilities of the players that comprise the team. The performance of the players depends on various factors and characteristics of a player. The team management select required players for each match from a squad of 7-20 players. Depending on different sports they analyze different characteristics and the statistics of the players to select the best players for each match who can shine on international stage. The process of player selection and team formation in multilayer sports is a complex multi-criteria problem where the ultimate success is determined by how the collection of individual players forms an effective team. The proposed system is formulated that takes into account various available performance data of players gives an optimize and balance team without any human interference which is limited to entering performance data. This system proposes Machine learning technology by implementing Support Vector Machine(SVM) algorithm for efficient player selection. Our system thus can effectively take into account all factors involved and give the optimal team, without human interference.

Machine Learning, SVM (SUPPORT VECTOR MACHINE), Player Selection

"INNOVATIVE IDEA FOR PLAYER SELECTION USING SUPPORT VECTOR MACHINE(SVM)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.206-209, March-2019, Available :http://www.jetir.org/papers/JETIR1903I33.pdf

"INNOVATIVE IDEA FOR PLAYER SELECTION USING SUPPORT VECTOR MACHINE(SVM)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp206-209, March-2019, Available at : http://www.jetir.org/papers/JETIR1903I33.pdf