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Journal of Applied Statistics Volume 46, 2019 - Issue 7
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Application Note

Assessing the market values of soccer players – a robust analysis of data from German 1. and 2. Bundesliga

T. KirschsteinSchool of Economics and Business, Martin Luther University Halle-Wittenberg, Halle, GermanyCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-4081-4549
ORCID Icon &
Steffen LiebscherSchool of Economics and Business, Martin Luther University Halle-Wittenberg, Halle, GermanyCorrespondence[email protected]
Pages 1336-1349 | Received 13 Apr 2018, Accepted 20 Oct 2018, Published online: 02 Nov 2018

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Mattia Cefis. (2023) Observed heterogeneity in players' football performance analysis using PLS-PM. Journal of Applied Statistics 50:15, pages 3088-3107.
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Rafael Kujo Monteiro, Rodolfo Coelho Prates & Leonardo Matsuno Frota. (2023) The determinants of player transfers in Brazil: the role of expectations in the football market. Applied Economics 55:26, pages 2964-2977.
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Gracia Rubio Martín, Francisco José González Sánchez & Conrado M. Manuel García. The financial dimension of football injuries according to the wisdom of crowds. Managing Sport and Leisure 0:0, pages 1-12.
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Articles from other publishers (25)

Francesca Pancotto, Giorgio Addessi & Nicola Auteri. (2024) Soccer Bubble: Is There a Speculative Bubble in the Price of International Soccer Players?. Journal of Sports Economics 25:5, pages 535-556.
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Maxence Franceschi, Jean‐François Brocard, Florian Follert & Jean‐Jacques Gouguet. (2023) Football players in light of economic value theory: Critical review and conceptualisation. Managerial and Decision Economics 45:2, pages 896-920.
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Mattia Cefis & Maurizio Carpita. (2022) The higher-order PLS-SEM confirmatory approach for composite indicators of football performance quality. Computational Statistics 39:1, pages 93-116.
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Jea Woog Lee, Sangmin Song, YoungBin Kim, Seung-Bo Park & Doug Hyun Han. (2023) Soccer’s AI transformation: deep learning’s analysis of soccer’s pandemic research evolution. Frontiers in Psychology 14.
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M. Tomíček & N. Pelloneová. (2023) Statistical comparison of Czech and Danish football leagues: market value, age, and nationality of players. Studia Kinanthropologica 24:1, pages 19-29.
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Maurizio Carpita, Paola Pasca, Serena Arima & Enrico Ciavolino. (2023) Clustering of variables methods and measurement models for soccer players’ performances. Annals of Operations Research 325:1, pages 37-56.
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Gracia Rubio Martín, Conrado M. Miguel García, Francisco José González Sánchez & Álvaro Féliz Navarrete. (2022) The wisdom of crowd, real option and game theory decisions: can they be used by clubs to improve their investment in football players?. Managerial Finance 49:6, pages 1036-1055.
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Ian G. McHale & Benjamin Holmes. (2023) Estimating transfer fees of professional footballers using advanced performance metrics and machine learning. European Journal of Operational Research 306:1, pages 389-399.
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Natalie Pelloneová. (2023) Measuring the Technical Efficiency of Hockey Players: Empirical Evidence from Czech Hockey Competition. Studia sportiva 16:2, pages 229-248.
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Maxence Franceschi, Jean‐François Brocard, Florian Follert & Jean‐Jacques Gouguet. (2023) Determinants of football players’ valuation: A systematic review. Journal of Economic Surveys.
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Abdullah Erdal Tümer, Zeki Akyıldız, Aytek Hikmet Güler, Esat Kaan Saka, Riccardo Ievoli, Lucio Palazzo & Filipe Manuel Clemente. (2022) Prediction of soccer clubs’ league rankings by machine learning methods: The case of Turkish Super League. Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, pages 175433712211404.
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V B Jishnu, P V Hari Narayanan, Surya Aanand & Preetha Theresa Joy. (2022) Football Player Transfer Value Prediction Using Advanced Statistics and FIFA 22 Data. Football Player Transfer Value Prediction Using Advanced Statistics and FIFA 22 Data.
Dennis Coates & Petr Parshakov. (2022) The wisdom of crowds and transfer market values. European Journal of Operational Research 301:2, pages 523-534.
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Gracia Rubio Martín, Conrado Miguel Manuel García, Ángel Rodríguez-López & Francisco José Gonzalez Sanchez. (2021) Measuring football clubs' human capital: analytical and dynamic models based on footballers' life cycles. Journal of Intellectual Capital 23:5, pages 1107-1137.
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Michal Tomíček & Natalie Pelloneová. (2022) Sports data analysis: Comparison of the Czech and Danish top football competitions. Tělesná kultura 45.
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Vinscent Steve Arrul, Preethi Subramanian & Raheem Mafas. (2022) Predicting the Football Players’ Market Value Using Neural Network Model: A Data-Driven Approach. Predicting the Football Players’ Market Value Using Neural Network Model: A Data-Driven Approach.
Muhaimin Muszaidi, Aida Binti Mustapha, Shuhaida Ismail & Nazim Razali. 2022. Proceedings of the 7th International Conference on the Applications of Science and Mathematics 2021. Proceedings of the 7th International Conference on the Applications of Science and Mathematics 2021 339 350 .
Raffaele Poli, Roger Besson & Loïc Ravenel. (2021) Econometric Approach to Assessing the Transfer Fees and Values of Professional Football Players. Economies 10:1, pages 4.
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António M. Lopes & José A. Tenreiro Machado. (2021) Uniform Manifold Approximation and Projection Analysis of Soccer Players. Entropy 23:7, pages 793.
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Selçuk Özaydın. (2021) The Impact of Foreign Ownership in Czech Football. Studia sportiva 15:1, pages 63-70.
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Pedro Garcia-del-Barrio & Francesc Pujol. (2020) Recruiting talent in a global sports market: appraisals of soccer players' transfer fees. Managerial Finance 47:6, pages 789-811.
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Riccardo Ievoli, Lucio Palazzo & Giancarlo Ragozini. (2021) On the use of passing network indicators to predict football outcomes. Knowledge-Based Systems 222, pages 106997.
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Tommy Quansah, Bernd Frick, Markus Lang & Kieran Maguire. (2021) The Importance of Club Revenues for Player Salaries and Transfer Expenses—How Does the Coronavirus Outbreak (COVID-19) Impact the English Premier League?. Sustainability 13:9, pages 5154.
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Lukas Richau, Florian Follert, Monika Frenger & Eike Emrich. (2021) The impact of investors on transfer fees in the English Premier League: A study of the ownership structures. Corporate Ownership and Control 18:3, special issue, pages 241-256.
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Tommy Quansah, Bernd Frick, Markus Lang & Kieran Maguire. (2020) The Impact of the Coronavirus Outbreak (COVID-19) on Player Salaries, Transfer Fees, and Net Transfer Expenses in the English Premier League. SSRN Electronic Journal.
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