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Composing a team of professional players is among the most crucial decisions association football. Nevertheless, transfer market decisions are often on myopic objectives and are questionable from a financial point of view. paper introduces a chance-constrained model to provide analytic support to managers during transfer windows. The model seeks a top-performing team adapting to different budgets and financial-risk profiles. In addition, provides a new rating system that is able to numerically reflect the-field performance of football players and thus contribute to an objective of football players. The model and rating system are tested on a study based on real market data. The data from the case study are online for the benefit of future research.
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Pantuso et al. (2019) studied this question.
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