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Soccer is one of the most popular sports around the world. Many people, whether they are a fan of a soccer team, a player of online soccer games or even the professional coach of a soccer team, will attempt to use some relevant data to predict the result of a match. Many of these kinds of prediction models are built based on data from the match itself, such as the overall number of shots, yellow or red cards, fouls committed, etc. of the home and away teams. However, this research attempted to predict soccer game results (win, draw or loss) based on data from players in the starting line-up during the first 12 weeks of the 2018-2019 season of the English Premier League.
Yang, Runzuo. (2019). Using Supervised Learning to Predict English Premier League Match Results from Starting Line-up Player Data. M.Sc. in Computing (Data Analytics). Technological University Dublin.