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A key challenge is that scouts may not capture every relevant performance factor, including elements like command and communication, during their assessments. 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All information other than my own contribution will be fully referenced and listed in the relevant bibliography section at the rear of the project.  \nALL internet material must be referenced in the bibliography section. Students are required to use the Referencing Standard specified in the report template. To use other author’s written or electronic work is illegal (plagiarism) and may result in disciplinary action.  \n\n| Signature: |  |\n| --- | --- |\n| Date: | 25th August 2023 |\n\nPLEASE READ THE FOLLOWING INSTRUCTIONS AND CHECKLIST:  \n\n| Attach a completed copy of this sheet to each project (including multiple copies) . | □ |\n| --- | --- |\n| Attach a Moodle submission receipt of the online project submission, to each project (including multiple copies) . | □ |\n| You must ensure that you retain a HARD COPY of the project, both foryour own reference and in case a project is lost or mislaid. It is not sufficient to keep a copy on computer. | □ |\n\nAssignments that are submitted to the Programme Coordinator office must be placed into the assignment box located outside the office.  \n\n| Office Use Only |  |\n| --- | --- |\n| Signature: |  |\n| Date: |  |\n| Penalty Applied (if applicable): |  |\n\nA Machine Learning Framework to Scout Football  \nPlayers  \nHashir Sayeed  \nX21214611  \nAbstract  \nScouting football players involves selecting players that have potential to play ata national level for which they are being assessed and also the optimal position they can play based on their performance such as goals scored, accuracy of passes and soon. The current challenge is that the scouts may not identify all the performance factors during their assessment for example Command, Communication and so on. This research proposes a Machine Learning Framework to scout football players that have the potential to play at a national level. The proposed framework combines a classification model and a predictive model. The classification models identifies the optimal position of the player. The predictive models identifies best possible match in a national team for every position. The dataset is given by the FIFA organization, who are responsible for keeping updated statistics of the players.  \n1 Introduction  \nScouting a suitable and talented players among the pool of professional players is a challenge. It takes a lot of time and effort to find a potential player and watch his performance in person and the performances in the past through video recordings and then decide whether the player is a good fit for the team or not. As mentioned in the article (Kidd; 2020), the whole process of scouting which includes 12 or 13 scouts which analyze at-least 130 games per players which are on recording and then go for live matches. This whole process is very time consuming. Also, scouts may not identify all the performance factors during their assessments and might neglect the factors such as Command, Communication and so on. S¨afvenberg (2022) All teams strive to assemble their teams with the greatest players available at every position to improve their chances of success. The international world cup, the Euros which is an int","cbCaijPaJuEdUvo6","https://ap.wps.com/l/cbCaijPaJuEdUvo6","pdf",959566,"English","# Abstract\n# 1 Introduction","[{\"question\":\"What problem does the research address in football scouting?\",\"answer\":\"Scouts may struggle to identify all performance factors and to determine both national-level potential and the best position for a player. This makes scouting time-consuming and can lead to missed or overlooked attributes like command and communication.\"},{\"question\":\"What models are proposed in the framework?\",\"answer\":\"The framework combines a classification model and a predictive model. The classification model identifies a player’s optimal position, while the predictive model selects the best possible national-team match for each position.\"},{\"question\":\"What dataset is used for the research?\",\"answer\":\"The dataset is provided by FIFA, which maintains and updates player statistics used by the proposed system.\"}]","A Machine Learning Framework to Scout Football Players - MSc Research Project Submission Sheet | PDF",1789269252,6]