Selvaraj, Sidharthan (2016) Analysis of player ratings based on intrinsic factors to support team selection. Masters thesis, Dublin, National College of Ireland.
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Over the recent years, the sports industry has witnessed a rapid growth. A majority of the growth and popularity was contributed by football clubs all over the world. Players are the key factor off-field and on-field for clubs growth and popularity. A large group of football clubs still struggle to manage a player. A right set of players for a given game would change the match results for the clubs. The aim of this project is to predict the player ratings ahead of a given match. This rating predictions gives the scope to the football managers in selecting the right squad for a given competition as supportive element. The top European club players are taken into consideration for this supervised analysis. Individual player intrinsic factors and also the Players team performance for individual matches are recorded. For this regression problem, Random forest and deep neural networks algorithms are utilized. The predictions results proved a variance of 20.6 percentage and 19 percentage from the actual ratings.
|Item Type:||Thesis (Masters)|
|Subjects:||Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
G Geography. Anthropology. Recreation > GV Recreation Leisure > Sports
|Divisions:||School of Computing > Master of Science in Data Analytics|
|Depositing User:||CAOIMHE NI MHAICIN|
|Date Deposited:||03 Dec 2016 14:09|
|Last Modified:||03 Dec 2016 14:09|
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