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Thus, the intelligent exploitation of this data makes it possible to refine tactical strategies and significantly improve performance on the field, making the data scientist an essential partner for the club to guide players on the field!<\/p>\n
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Sarah Rudd, pioneer of data science applied to football<\/p>\n
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\nhttps:\/\/english.elpais.com\/science-tech\/2023-04-29\/the-woman-who-uses-big-data-to-help-win-soccer-games.html<\/a><\/p>\n \n \n One woman who was particularly influential and pioneering in the development of data science applied to football was Sarah Rudd. A graduate of Columbia University with a Master’s degree in Computer Science, she began her career at Microsoft as a software engineer. Her desire to work in football led her to independently explore the links between data and sports performance, at a time when this intersection was still in its infancy. She created a blog to share her analyses on the subject, and then the ideal opportunity arose: StatDNA, a company that sells analytics services to sports teams, held an open competition, making its database available to develop new studies. There, Rudd developed a model for evaluating player actions, such as passing and shooting, impressing StatDNA, which offered her a position in 2011. The company was acquired by Arsenal in 2012, and Rudd subsequently spent nine seasons with the team as director of analytics and software development.<\/p>\n \n \n \n In 2022, she created SRC to sell its services to football teams that were beginning to integrate data analysis into their systems.<\/p>\n \n \nSarah Rudd has pioneered a revolution in football: today, data no longer just analyzes the game, it shapes it. With the development of artificial intelligence and machine learning, there are still enormous possibilities to explore in this field! How far can data science take sport?<\/p>\n \n \nTo learn more, you can watch this video where Sarah Rudd discusses football analysis at Arsenal:<\/p>\n \n [1]<\/u><\/a>\u00a0\u00a0https:\/\/fr.wikipedia.org\/wiki\/Science_des_donn%C3%A9es#cite_ref-1<\/a><\/span><\/p>\n<\/div>\n Written by Nastia and edited by Intan<\/em><\/span><\/p>\n<\/div>\n Sources<\/strong>\u00a0:<\/span><\/p>\n<\/div>\n https:\/\/www.statscore.com\/sport\/soccer\/how-does-sports-data-work-in-womens-football-an-interview-with-milosz-stepinski\/<\/u><\/a><\/span><\/p>\n<\/li>\n https:\/\/iplaylikeagirl.org\/stories\/stem-in-football-how-technology-and-opportunity-are-reshaping-womens-careers-in-the-sport\/<\/u><\/a><\/span><\/p>\n<\/li>\n https:\/\/thepfsa.co.uk\/careers\/data-scientist\/<\/u><\/a><\/span><\/p>\n<\/li>\n https:\/\/fr.wikipedia.org\/wiki\/Science_des_donnees<\/u><\/a><\/span><\/p>\n<\/li>\n\n