Evaluating the pinnacle of football match key statistics as in‐play information for determining the match outcome of Europe's foremost leagues
Author
Abstract
Suggested Citation
DOI: 10.1111/ssqu.13364
Download full text from publisher
References listed on IDEAS
- Siem Jan Koopman & Rutger Lit, 2015.
"A dynamic bivariate Poisson model for analysing and forecasting match results in the English Premier League,"
Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(1), pages 167-186, January.
- Siem Jan Koopman & Rutger Lit, 2012. "A Dynamic Bivariate Poisson Model for Analysing and Forecasting Match Results in the English Premier League," Tinbergen Institute Discussion Papers 12-099/III, Tinbergen Institute.
- Jakub Červený & Jan C. Ours & Martin A. Tuijl, 2018.
"Effects of a red card on goal-scoring in World Cup football matches,"
Empirical Economics, Springer, vol. 55(2), pages 883-903, September.
- Cervený, Jakub & van Ours, Jan & van Tuijl, Martin, 2016. "Effects of a Red Card on Goal-Scoring in World Cup Football Matches," Discussion Paper 2016-031, Tilburg University, Center for Economic Research.
- Cervený, Jakub & van Ours, Jan & van Tuijl, Martin, 2016. "Effects of a Red Card on Goal-Scoring in World Cup Football Matches," Other publications TiSEM 0801d15e-57b6-4e14-a6b9-4, Tilburg University, School of Economics and Management.
- Cerveny, Jakub & van Ours, Jan C. & van Tuijl, Martin A., 2016. "Effects of a Red Card on Goal-Scoring in World Cup Football Matches," IZA Discussion Papers 10174, Institute of Labor Economics (IZA).
- Anders Anne & Rotthoff Kurt W, 2011. "Yellow Cards: Do They Matter?," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(1), pages 1-12, January.
- Roberto Gásquez & Vicente Royuela, 2016. "The Determinants of International Football Success: A Panel Data Analysis of the Elo Rating," Social Science Quarterly, Southwestern Social Science Association, vol. 97(2), pages 125-141, June.
- Sarah E. Turner & Lauren A. Meserve & William G. Bowen, 2001. "Winning and Giving: Football Results and Alumni Giving at Selective Private Colleges and Universities," Social Science Quarterly, Southwestern Social Science Association, vol. 82(4), pages 812-826, December.
- Hannes Lepschy & Hagen Wäsche & Alexander Woll, 2020. "Success factors in football: an analysis of the German Bundesliga," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 20(2), pages 150-164, March.
- Thadeu Gasparetto & Dmitry Mishchenko & Egor Zaitsev, 2023. "Factors influencing competitive balance across European football top tier leagues," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2068-2078, June.
- Raffaele Mattera, 2023. "Forecasting binary outcomes in soccer," Annals of Operations Research, Springer, vol. 325(1), pages 115-134, June.
- Koopman, Siem Jan & Lit, Rutger, 2019.
"Forecasting football match results in national league competitions using score-driven time series models,"
International Journal of Forecasting, Elsevier, vol. 35(2), pages 797-809.
- Siem Jan (S.J.) Koopman & Rutger Lit, 2017. "Forecasting Football Match Results in National League Competitions Using Score-Driven Time Series Models," Tinbergen Institute Discussion Papers 17-062/III, Tinbergen Institute.
- J. James Reade & Carl Singleton & Alasdair Brown, 2021.
"Evaluating strange forecasts: The curious case of football match scorelines,"
Scottish Journal of Political Economy, Scottish Economic Society, vol. 68(2), pages 261-285, May.
- J. James Reade & Carl Singleton & Alasdair Brown, 2019. "Evaluating Strange Forecasts: The Curious Case of Football Match Scorelines," Economics Discussion Papers em-dp2019-18, Department of Economics, University of Reading, revised 01 Aug 2020.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Llorenç Badiella & Pedro Puig & Carlos Lago-Peñas & Martí Casals, 2023. "Influence of Red and Yellow cards on team performance in elite soccer," Annals of Operations Research, Springer, vol. 325(1), pages 149-165, June.
- Alberto Arcagni & Vincenzo Candila & Rosanna Grassi, 2023. "A new model for predicting the winner in tennis based on the eigenvector centrality," Annals of Operations Research, Springer, vol. 325(1), pages 615-632, June.
- da Costa, Igor Barbosa & Marinho, Leandro Balby & Pires, Carlos Eduardo Santos, 2022. "Forecasting football results and exploiting betting markets: The case of “both teams to score”," International Journal of Forecasting, Elsevier, vol. 38(3), pages 895-909.
- Wunderlich, Fabian & Memmert, Daniel, 2020. "Are betting returns a useful measure of accuracy in (sports) forecasting?," International Journal of Forecasting, Elsevier, vol. 36(2), pages 713-722.
- Lasek, Jan & Gagolewski, Marek, 2021. "Interpretable sports team rating models based on the gradient descent algorithm," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1061-1071.
- P. Gorgi & S. J. Koopman & R. Lit, 2023.
"Estimation of final standings in football competitions with a premature ending: the case of COVID-19,"
AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 107(1), pages 233-250, March.
- Paolo Gorgi & Siem Jan Koopman & Rutger Lit, 2020. "Estimation of final standings in football competitions with premature ending: the case of COVID-19," Tinbergen Institute Discussion Papers 20-070/III, Tinbergen Institute.
- Robert C. Smit & Francesco Ravazzolo & Luca Rossini, 2020. "Dynamic Bayesian forecasting of English Premier League match results with the Skellam distribution," BEMPS - Bozen Economics & Management Paper Series BEMPS72, Faculty of Economics and Management at the Free University of Bozen.
- Marc Garnica-Caparrós & Daniel Memmert & Fabian Wunderlich, 2022. "Artificial data in sports forecasting: a simulation framework for analysing predictive models in sports," Information Systems and e-Business Management, Springer, vol. 20(3), pages 551-580, September.
- Raffaele Mattera, 2023. "Forecasting binary outcomes in soccer," Annals of Operations Research, Springer, vol. 325(1), pages 115-134, June.
- Luke S. Benz & Michael J. Lopez, 2023. "Estimating the change in soccer’s home advantage during the Covid-19 pandemic using bivariate Poisson regression," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 107(1), pages 205-232, March.
- Galli, L. & Galvan, G. & Levato, T. & Liti, C. & Piccialli, V. & Sciandrone, M., 2021. "Football: Discovering elapsing-time bias in the science of success," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
- Robin Maximilian Stetzka & Stefan Winter, 2023. "How rational is gambling?," Journal of Economic Surveys, Wiley Blackwell, vol. 37(4), pages 1432-1488, September.
- Karol Kempa & Hannes Rusch, 2019. "Dissent, sabotage, and leader behaviour in contests: Evidence from European football," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 40(5), pages 500-514, July.
- Stinson, Jeffrey L. & Howard, Dennis R., 2008. "Winning Does Matter: Patterns in Private Giving to Athletic and Academic Programs at NCAA Division I-AA and I-AAA Institutions," Sport Management Review, Elsevier, vol. 11(1), pages 1-20, May.
- Meer, Jonathan & Rosen, Harvey S., 2009.
"The impact of athletic performance on alumni giving: An analysis of microdata,"
Economics of Education Review, Elsevier, vol. 28(3), pages 287-294, June.
- Jonathan Meer & Harvey S. Rosen, 2008. "The Impact of Athletic Performance on Alumni Giving: An Analysis of Micro Data," NBER Working Papers 13937, National Bureau of Economic Research, Inc.
- Jonathan Meer & Harvey S. Rosen, 2008. "The Impact of Athletic Performance on Alumni Giving: An Analysis of Micro Data," Working Papers 1046, Princeton University, Department of Economics, Center for Economic Policy Studies..
- Harvey, A., 2021. "Score-driven time series models," Cambridge Working Papers in Economics 2133, Faculty of Economics, University of Cambridge.
- Christophe Ley & Yves Dominicy, 2017. "Mutual Point-winning Probabilities (MPW): a New Performance Measure for Table Tennis," Working Papers ECARES ECARES 2017-23, ULB -- Universite Libre de Bruxelles.
- Csató, László, 2023. "How to avoid uncompetitive games? The importance of tie-breaking rules," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1260-1269.
- Baboota, Rahul & Kaur, Harleen, 2019. "Predictive analysis and modelling football results using machine learning approach for English Premier League," International Journal of Forecasting, Elsevier, vol. 35(2), pages 741-755.
- Angelini, Giovanni & Candila, Vincenzo & De Angelis, Luca, 2022. "Weighted Elo rating for tennis match predictions," European Journal of Operational Research, Elsevier, vol. 297(1), pages 120-132.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:socsci:v:105:y:2024:i:3:p:775-799. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0038-4941 .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.