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Original Articles

Soccer matches as experiments: how often does the ‘best’ team win?

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Pages 1087-1095 | Received 10 Mar 2008, Published online: 24 Sep 2009

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Jesús-Ángel Román-Gallego, María-Luisa Pérez-Delgado, Fernando-José Cofiño-Gavito, Miguel Á. Conde & Rubén Rodríguez-Rodrigo. (2023) Analysis and Parameterization of Sports Performance: A Case Study of Soccer. Applied Sciences 13:23, pages 12767.
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Eduardo Velasco Stock, Roberto da Silva & Henrique A. Fernandes. (2022) A physics-based algorithm to perform predictions in football leagues. Physica A: Statistical Mechanics and its Applications 600, pages 127532.
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Manfred A. Müller, Antonieta Martínez-Guerrero, Maria Corsi-Cabrera, Alfred O. Effenberg, Armin Friedrich, Ignacio Garcia-Madrid, Matthias Hornschuh, Gerd Schmitz & Markus F. Müller. (2022) How to orchestrate a soccer team: Generalized synchronization promoted by rhythmic acoustic stimuli. Frontiers in Human Neuroscience 16.
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Sumit Sarkar & Sooraj Kamath. (2021) Does luck play a role in the determination of the rank positions in football leagues? A study of Europe’s ‘big five’. Annals of Operations Research.
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M. S. Permogorskiy. (2015) Competitive intransitivity among species in biotic communities. Biology Bulletin Reviews 5:3, pages 213-219.
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Marcel Ausloos, Adam Gadomski & Nikolay K Vitanov. (2014) Primacy and ranking of UEFA soccer teams from biasing organization rules. Physica Scripta 89:10, pages 108002.
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Roberto da Silva & Silvio R. Dahmen. (2014) Universality in the distance between two teams in a football tournament. Physica A: Statistical Mechanics and its Applications 398, pages 56-64.
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Roberto da Silva, Mendeli H. Vainstein, Luis C. Lamb & Sandra D. Prado. (2013) A simple non-Markovian computational model of the statistics of soccer leagues: Emergence and scaling effects. Computer Physics Communications 184:3, pages 661-670.
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