ETD

Archivio digitale delle tesi discusse presso l'Università di Pisa

Tesi etd-03292016-181604


Tipo di tesi
Tesi di laurea magistrale
Autore
KENNY, JULIA
URN
etd-03292016-181604
Titolo
SoccerAtlas: a web framework for visual soccer analytics
Dipartimento
FILOLOGIA, LETTERATURA E LINGUISTICA
Corso di studi
INFORMATICA UMANISTICA
Relatori
relatore Dott. Cintia, Paolo
relatore Dott. Pappalardo, Luca
relatore Prof. Pedreschi, Dino
relatore Dott. Rinzivillo, Salvatore
Parole chiave
  • web application
  • visual soccer analytics
  • visual analytics
  • sports analytics
  • d3.js
Data inizio appello
18/04/2016
Consultabilità
Non consultabile
Data di rilascio
18/04/2086
Riassunto
This thesis discusses the design and development of SoccerAtlas, a web framework for visual soccer analytics. During the past decade data science have entered the world of sports and large amounts of hi-fidelity soccer data are now readily available, collected by several companies through advanced semi-automatic sensing technologies. However soccer analytics is a young field of research, and the wealth of the collected data is not yet actually supported by adequate analysis tools. This is particularly true for soccer, which among all the team sports is the most difficult to quantitatively analyse due to the complexity of the play and to the low number of scores which determine the result of the game.
SoccerAtlas is a web application that allows the soccer analyst to visually explore soccer data, interact with it, and gain new insights. It exploits several analytical functions to extract useful information from data, then visualising it in an appropriate way. This thesis discusses all the steps that lead to the final web framework, taking into account both technological aspects and visual communication aspects. Particularly, these steps include the definition of a theoretical framework which illustrates the abstract model of the data, the formalization of the analytical functions based on this model, the design and the implementation of the framework. Some examples of analysis performed on a real soccer game data are also provided in order to show the potential of the analytical tool. The resulting web framework is built using several technologies, such as Python, HTML, CSS and d3.js, the JavaScript library which is nowadays the standard for web-based data visualization projects.
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