Essays about: "Football analytics"
Showing result 1 - 5 of 7 essays containing the words Football analytics.
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1. Monocular 3D Human Pose Estimation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The focus of this work is the task of 3D human pose estimation, more specifically by making use of key points located in single monocular images in order to estimate the location of human body joints in a 3D space. It was done in association with Tracab, a company based in Stockholm, who specialises in advanced sports tracking and analytics solutions. READ MORE
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2. Identifying Optimal Throw-in Strategy in Football Using Logistic Regression
University essay from KTH/Matematisk statistikAbstract : Set-pieces such as free-kicks and corners have been thoroughly examined in studies related to football analytics in recent years. However, little focus has been put on the most frequently occurring set-piece: the throw-in. READ MORE
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3. Towards a Data-Driven Football Playbook
University essay from KTH/Medicinteknik och hälsosystemAbstract : At a competitive level, football teams often have multiple matches per week. Thus, time can be a limited resource for match analysts tasked with analysing the performance of their team and its opponents. Increased availability of data in the field offers possibilities to automate processes to save time. READ MORE
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4. Statistical Analysis of Organized Attacks in Football
University essay from Lunds universitet/Matematisk statistikAbstract : This report investigates what defensive and attacking strategies are most efficient in an organized attack situation in football. Defensive shape, defending player synchronizations, number of passes, types of passes and other variables are tested to see which methods statistically generate more and better goal scoring opportunities. READ MORE
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5. Avatar Playing Style : From analysis of football data to recognizable playing styles
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : Football analytics is a rapid growing area which utilizes conventional data analysis and computational methods on gathered data from football matches. The results emerging out of this can give insights of performance levels when it comes to individual football players, different teams and clubs. READ MORE