Thesis etd-11132018-100853 |
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Thesis type
Tesi di laurea magistrale
Author
BARBONE, MARCO
URN
etd-11132018-100853
Thesis title
Capturing football-teams behavior with a stochastic model.
Department
INFORMATICA
Course of study
INFORMATICA E NETWORKING
Supervisors
relatore Ferragina, Paolo
relatore Pappalardo, Luca
relatore Cintia, Paolo
relatore Pappalardo, Luca
relatore Cintia, Paolo
Keywords
- centrality
- football
- graphs
- Markov
- PageRank
- playing area subdivision
- stochastic
Graduation session start date
30/11/2018
Availability
Withheld
Release date
30/11/2088
Summary
This thesis aims to capture soccer teams behavior using a stochastic approach on a graph built on top of the Wyscout dataset, a market-leading company in data scouting for soccer. The main contributions of the thesis are twofold: first, it proposes a stochastic representation of a soccer game via a weighted graph properly derived from the Wyscout dataset. Secondly, it analyses every game through a stochastic model to detect the way teams move the ball together with the way they move onto the field and the performance that they achieve.
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