Estadística multivariante aplicada al análisis y predicción de partidos de fútbol en las principales ligas europeas
dc.contributor.author | Chocano Feito, Pedro José | |
dc.contributor.author | Castilla González, Elena María | |
dc.date.accessioned | 2023-06-16T14:27:14Z | |
dc.date.available | 2023-06-16T14:27:14Z | |
dc.date.issued | 2021-10-01 | |
dc.description.abstract | El propósito de este estudio es analizar las estadísticas de juego en las principales ligas europeas y ver qué factores son más determinantes a la hora de predecir el resultado de un partido. Para ello usaremos técnicas de estadística multivariante incluyendo análisis de componentes principales y regresión logística. Las dos primeras componentes principales explican alrededor del 70 % de precisión obtenida cuando se predicen victorias fuera de casa tomando como variables predictivas las propias componentes. Este estudio también demuestra que en la liga inglesa los partidos son menos equilibrados. | |
dc.description.abstract | The purpose of this study is to analyse main game-related statistics differences between the main European leagues and which factors are more determinant when predicting a match score, by means of multivariate statistical techniques, including principal component analysis and logistic regression. The first two principal components explain around the 70 % of variance, and over a 70 % of accuracy is obtained when predicting away-team wins, with these two principal components as predictive variables. This study also shows that in English Premier League, games are less equilibrated. | |
dc.description.department | Depto. de Estadística e Investigación Operativa | |
dc.description.department | Depto. de Álgebra, Geometría y Topología | |
dc.description.faculty | Fac. de Ciencias Matemáticas | |
dc.description.refereed | TRUE | |
dc.description.status | pub | |
dc.eprint.id | https://eprints.ucm.es/id/eprint/77811 | |
dc.identifier.issn | 2174-0410 | |
dc.identifier.officialurl | https://revista.giepm.com/wp-content/uploads/investigacion_estadistica.pdf | |
dc.identifier.uri | https://hdl.handle.net/20.500.14352/5070 | |
dc.issue.number | 2 | |
dc.journal.title | Pensamiento Matemático | |
dc.language.iso | spa | |
dc.page.final | 30 | |
dc.page.initial | 21 | |
dc.publisher | Universidad Politécnica de Madrid | |
dc.rights | Atribución-NoComercial-CompartirIgual 3.0 España | |
dc.rights.accessRights | open access | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-sa/3.0/es/ | |
dc.subject.cdu | 519.22 | |
dc.subject.keyword | Componentes principales | |
dc.subject.keyword | Desarrollo del juego | |
dc.subject.keyword | Represión logística | |
dc.subject.keyword | Notational analysis | |
dc.subject.keyword | Match performance | |
dc.subject.keyword | Principal components | |
dc.subject.keyword | Logistic regression | |
dc.subject.ucm | Estadística matemática (Matemáticas) | |
dc.subject.unesco | 1209 Estadística | |
dc.title | Estadística multivariante aplicada al análisis y predicción de partidos de fútbol en las principales ligas europeas | |
dc.title.alternative | Multivariate statistical techniques applied to the analysis and prediction of football matches in the main European leagues | |
dc.type | journal article | |
dc.volume.number | XI | |
dcterms.references | [1] ARAYA, J., & LARKIN, P. Key performance variables between the top 10 and bottom 10 teams in the English premier league 2012/13 season. Hum Mov Health Coach Edu, 1, 17–29, 2014. [2] BARROS, R.,CUNHA, S., MAGALHAES, W., GUIMARAES, M., et al. Representation and analysis of soccer players’ actions using principal components. Journal of Human Movement Studies, 2006. [3] BROICH, H., MESTER, J., SEIFRIZ, F., & YUE, Z. Statistical analysis for the first Bundesliga in the current soccer season. Progress in Applied Mathematics, 7(2), 1–8, 2014. [4] DOBSON, S., & GODDARD, J. Modelling and forecasting match results in the English premier league and football league. In Economics, management and optimization in sports (pp. 59–77). Springer, 2004. [5] ELYAKIM, E., MORGULEV, E., LIDOR, R., MECKEL, Y., ARNON, M., & BEN-SIRA, D. Comparative analysis of game parameters between Italian league and Israeli league football matches. International Journal of Performance Analysis in Sport, 20(2), 165–179, 2020. [6] HARRELL JR, F. E., LEE, K. L., CALIFF, R. M., PRYOR, D. B., & ROSATI, R. A. Regression modelling strategies for improved prognostic prediction. Statistics in medicine, 3(2), 143–152, 1984. [7] LAGO-PEÑAS, C., LAGO-BALLESTEROS, J., DELLAL, A., & GÓMEZ, M. Game-related statistics that discriminated winning, drawing and losing teams from the Spanish soccer league. Journal of sports science & medicine, 9(2), 288, 2010. [8] LEPSCHY, H., WÄSCHE, H., & WOLL, A. How to be successful in football: a systematic review. The Open Sports Sciences Journal, 11(1), 2018. [9] LEPSCHY, H., WÄSCHE, H., & WOLL, A. Success factors in football: an analysis of the German Bundesliga. International Journal of Performance Analysis in Sport, 1–15, 2020. [10] MOURA, F. A., MARTINS, L. E. B., & CUNHA, S. A. Analysis of football game-related statistics using multivariate techniques. Journal of sports sciences, 32(20), 1881–1887, 2014. [11] PEDUZZI, P., CONCATO, J., KEMPER, E., HOLFORD, T. R., & FEINSTEIN, A. R. A simulation study of the number of events per variable in logistic regression analysis. Journal of clinical epidemiology, 49(12), 1373–1379, 1996. [12] PEÑA, D. Análisis de datos multivariante. Mc Graw Hill, 2002. [13] PEREZ-SÁNCHEZ, J. M., GÓMEZ-DENIZ, E., & DAVILA-CÁRDENES, N. A comparative study of logistic models using an asymmetric link: Modelling the away victories in football. Symmetry, 10(6), 224, 2018. [14] REILLY, T. A motion analysis of work-rate in different positional roles in professional football match-play. J. Human Movement Studies, 2, 87–97, 1976. [15] UEFA. Association club coefficients, 2019. [16] WILLOUGHBY, K. A. Winning games in canadian football: A logistic regression analysis. The College Mathematics Journal, 33(3), 215–220, 2002. | |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | e4503677-6189-4b18-be22-23d31611f2a4 | |
relation.isAuthorOfPublication | 9a67ded0-2436-44f5-bdc9-07033ae6f956 | |
relation.isAuthorOfPublication.latestForDiscovery | e4503677-6189-4b18-be22-23d31611f2a4 |
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