Inspiration Football is one of the most popular sports globally, especially the English Premier League, which has a surprising global audience of 3.2 billion for all programming watched in the 2018/2019 season. With this popularity, there is significant pressure, and expectation in every match play for each team in the premier league as every team expects the best result. The team’s manager is the one who has to make a decision on every move: 

  1. Selecting starting lineup 
  2. Setting formation and tactic 
  3. Coaching 
  4. Etc.  This is big pressure, and it appears that managers often made the wrong decision. Consequently, the team lost the game.

Problem The situation of losing the game with the wrong formation set and the wrong players selected would never happen if the manager has some clues on the game and the average performance of the opponent team.

Methodology (Idea) This project aims to predict the result of WIN/LOSE of the football matches, calculated from the attributes of the starting lineups (11 players) compare to the attributes of the opponent starting lineups (11 players) while taking number of factors such as formation played, player’s attribute (Passing, Dribbling, Defending, Shooting, Physical, Pace), goalies (Handling, Positioning, Reflexes, Diving) in to account.

Our Idea Building the platform providing service for football manger or whoever involves with football industry to stimulate the match using Machine Learning and different factors to predict the result of the match.

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