[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-253712-105":3,"detail-sidebar-cat-1-en-105":81,"doc-detail-253712-en":126},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":74,"head_meta":76,"extra_data":78,"updated_unix":80},105,"en","machine-learning-for-football-player-scouting-bachelor-thesis","Machine Learning for Football Player Scouting - Bachelor Thesis","","Football player scouting is a time-consuming and costly process, even as the availability of sports data keeps expanding. This bachelor thesis studies how machine learning can support scouting by enabling faster, lower-cost evaluation of potential players. Through literature research on data collection and multiple machine learning algorithms, the work proposes a proof of concept system. UML use case and UML sequence diagrams define the system as a guideline for future implementation and further research.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/template/","Template",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/template/presentations/","Presentations",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/template/machine-learning-for-football-player-scouting-bachelor-thesis/253712/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/machine-learning-for-football-player-scouting-bachelor-thesis/253712.png","ImageObject",442,249,{"name":42,"@type":43},"Connor ","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-29","2026-09-13",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",14,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"What is the main purpose of the proposed model in this research?","Question",{"text":63,"@type":64},"To examine how machine learning can be implemented to support football player scouting, making it quicker and less costly.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"Which topics are covered in the literature research?",{"text":68,"@type":64},"Key subjects include data collection and multiple machine learning algorithms used for the scouting system.",{"name":70,"@type":61,"acceptedAnswer":71},"How are the system ideas documented before implementation?",{"text":72,"@type":64},"The system is defined using UML use case diagrams and UML sequence diagrams, serving as guidelines for further building in later research.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},253712,1791744873,{"code":4,"msg":82,"data":83},"success",[84,88,93,97,102,107,112,117,122],{"id":85,"doc_module":22,"doc_module_name":25,"category_name":29,"show_sort_weight":86,"slug":87},11,90,"presentations",{"id":89,"doc_module":22,"doc_module_name":25,"category_name":90,"show_sort_weight":91,"slug":92},12,"Resumes",80,"resumes",{"id":55,"doc_module":22,"doc_module_name":25,"category_name":94,"show_sort_weight":95,"slug":96},"Invoices",70,"invoices",{"id":98,"doc_module":22,"doc_module_name":25,"category_name":99,"show_sort_weight":100,"slug":101},15,"Posters",60,"posters",{"id":103,"doc_module":22,"doc_module_name":25,"category_name":104,"show_sort_weight":105,"slug":106},16,"Social Media",50,"social-media",{"id":108,"doc_module":22,"doc_module_name":25,"category_name":109,"show_sort_weight":110,"slug":111},17,"Forms",40,"forms",{"id":113,"doc_module":22,"doc_module_name":25,"category_name":114,"show_sort_weight":115,"slug":116},18,"Letters",30,"letters",{"id":118,"doc_module":22,"doc_module_name":25,"category_name":119,"show_sort_weight":120,"slug":121},21,"Paper Templates",5,"papers-templates",{"id":123,"doc_module":22,"doc_module_name":25,"category_name":124,"show_sort_weight":4,"slug":125},158,"General","general-158",{"code":4,"msg":82,"data":127},{"doc_id":79,"user_id":128,"nickname":42,"user_avatar":129,"doc_module":22,"category_id":85,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":118,"language":135,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":136,"faqs":137,"seo_title":138,"seo_description":12,"update_tm":139,"read_time":140},687207022233,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","Opleiding Informatica  \nMachine Learning for Football Player Scouting  \nBram van Ommen  \nSupervisors:  \nBas Kruiswijk & Walter Kosters  \nBACHELOR THESIS  \nLeiden Institute of Advanced Computer Science (LIACS)  \n[www. liacs. leidenuniv. nl](www. liacs. leidenuniv. nl)  05/12/2023  \nAbstract  \nFootball is one of the biggest sports in the world, with millions of people practicing or watching the sport. Clubs are constantly trying to improve their teams and new techniques keep begin developed. The growing amount of data that is available creates more and more opportunities. This allows for machine learning to be used in this process as well.  \nThe purpose of the model proposed in the research is to examine how machine learning can be implemented to support football player scouting. This process is an important part of building and improving the team, however, it can be very time consuming and costly. By implementing machine learning it is possible to make this process quicker and less costly.  \nBy doing literature research on multiple important subjects like data collection and multiple machine learning algorithms, this research will propose a proof of concept of a system that uses machine learning to scout football players.  \nThis system will be defined in an UML use case diagram and an UML sequence diagram. These models will function as guidelines to ultimately build the model in further research.  \nContents  \n1 Introduction 4  \n2 Method 5  \n2.1 Collecting Data ................................................ 5  \n2.2 Player Features ................................................ 5  \n2.3 Machine Learning Algorithms ........................................ 6  \n2.4 Designing the Models ............................................ 6  \n3 Literature 6  \n3.1 Data Collection ................................................ 6  \n3.2 Player Performance Analysis ........................................ 7  \n3.2.1 Player Position ............................................ 7  \n3.2.2 Player Roles ............................................. 7  \n3.2.3 Player Performance and Player Characteristics .......................... 8  \n3.3 Estimating a Football Player’s Value .................................... 9  \n3.4 Machine Learning Algorithms ........................................ 10  \n3.4.1 Classification Algorithms ...................................... 10  \n3.4.2 Regression Algorithms ........................................ 12  \n3.4.3 Clustering Algorithms ........................................ 13  \n4 Model 14  \n4.1 Textual Description of the Model ...................................... 14  \n4.2 UML Use Case Diagram ........................................... 17  \n4.3 UML Sequence Diagram ........................................... 17  \n5 Discussion 19  \n6 Conclusion 20  \nReferences 21  \n1 Introduction  \nFootball is one of the most popular sports in the world. According to (Toma & Campobasso, 2023) the European football competition alone already made €28.4 billion in revenues. The biggest five competitions in Europe made €15 .6 billion in revenues, which is 6% more than the year before. The revenues in football are growing, and so is growth of number of fans. The last group is accounting for the biggest part of the revenue expansion, indicating that the growth of football is still going.  \nTo keep the sport and their fanbase growing, tournaments and competitions must be thrilling enough to watch. This necessarily means that tournaments and competitions must have an uncertain outcome to guarantee for an exciting tournament or competition. To keep a chance of winning, a football club must keep up with the level of their opponents in the competition. Even better is for them to keep improving so they pass this level and win the competition. Therefore, each year a football club starts the competition by revaluating their team and coach, possibly hiring a new coach or new players. Essentially, they are building a new team, and while building ","cbCaiu73lhfVehbM","https://ap.wps.com/l/cbCaiu73lhfVehbM","pdf",934036,"English","# Contents\n## 1 Introduction\n## 2 Method\n## 3 Literature\n## 4 Model\n## 5 Discussion\n## 6 Conclusion\n## References","[{\"question\":\"What is the main purpose of the proposed model in this research?\",\"answer\":\"To examine how machine learning can be implemented to support football player scouting, making it quicker and less costly.\"},{\"question\":\"Which topics are covered in the literature research?\",\"answer\":\"Key subjects include data collection and multiple machine learning algorithms used for the scouting system.\"},{\"question\":\"How are the system ideas documented before implementation?\",\"answer\":\"The system is defined using UML use case diagrams and UML sequence diagrams, serving as guidelines for further building in later research.\"}]","Machine Learning for Football Player Scouting - Bachelor Thesis | PDF",1789269250,7]