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"FOOTY" Pre-Strategic Plan Prediction for Football

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dc.contributor.author Kumara, Thanthirige Pieris Thilan Lasitha
dc.date.accessioned 2020-05-19T14:19:15Z
dc.date.available 2020-05-19T14:19:15Z
dc.date.issued 2019
dc.identifier.citation Kumara, Thanthirige Pieris Thilan Lasitha (2019) "FOOTY" Pre-Strategic Plan Prediction for Football. BSc. Dissertation Informatics Institute of Technology. en_US
dc.identifier.other 2015275
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/376
dc.description.abstract Evolution of the ability of soccer players to engage with team performance has been based on the style of the team play and game plan. Performance is typically based on the goals scored, assists made, possession and shots taken against the opponent. Also, the ability of the soccer players has grown up when contributing to the technology along with the coach’s tactics. Competition between the players of the same team is very high to get up on the starting eleven hence improve their play and popularity among the club football. Since soccer has grown more popular among the world soccer has the best technologies for post analysis of particular games. Gathering information and picking up the best potential line-up to face against the opponent’s team were conducted by the Manager (Coach) of the Club. The manager role focuses on winning the games, on accomplishing that goal several requirements should process. The mindset of the players, Performance, Home or Away Conditions, Weather, and Game plan for the Match. Automate 40% of the manager role might help it out for the technical staff. This project was focused on the Game plan for the Match and known as Pre-Strategic Plan for Football in this project which was designed by the Manager before the game process. Ability to take Strategic plan into successful rate down with equal fifty since football is a physical sport which produced a performance on the pitch by players. A survey was conducted among the professional people of the football and proven that existing systems will not consider any opposition stats also all information gathering was done by humans and do not reach the level of expectations. This approach will provide better experience and expectations to the technical staff and manager consider a strategic plan for the match as points. en_US
dc.subject Pattern Recognition en_US
dc.subject Machine Learning en_US
dc.subject Style analysing en_US
dc.subject Predictions en_US
dc.title "FOOTY" Pre-Strategic Plan Prediction for Football en_US
dc.type Thesis en_US


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