Maximizing performance with an eye on the finances: a chance-constrained model for football transfer market decisions

G. Pantuso () and L. M. Hvattum ()
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G. Pantuso: University of Copenhagen
L. M. Hvattum: Molde University College

TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, 2021, vol. 29, issue 2, No 14, 583-611

Abstract: Abstract Composing a team of professional players is among the most crucial decisions in association football. Nevertheless, transfer market decisions are often based on myopic objectives and are questionable from a financial point of view. This paper introduces a chance-constrained model to provide analytic support to club managers during transfer windows. The model seeks a top-performing team while adapting to different budgets and financial-risk profiles. In addition, it provides a new rating system that is able to numerically reflect the on-field performance of football players and thus contribute to an objective assessment of football players. The model and rating system are tested on a case study based on real market data. The data from the case study are available online for the benefit of future research.

Keywords: Association football; Team composition; Sport; Sports management; Stochastic programming; Integer programming; 90C15; 90C10; 90C90 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s11750-020-00584-9

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