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

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Standard

Maximizing performance with an eye on the finances : a chance-constrained model for football transfer market decisions. / Pantuso, G.; Hvattum, L. M.

I: TOP, Bind 29, 01.2021, s. 583–611.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Pantuso, G & Hvattum, LM 2021, 'Maximizing performance with an eye on the finances: a chance-constrained model for football transfer market decisions', TOP, bind 29, s. 583–611. https://doi.org/10.1007/s11750-020-00584-9

APA

Pantuso, G., & Hvattum, L. M. (2021). Maximizing performance with an eye on the finances: a chance-constrained model for football transfer market decisions. TOP, 29, 583–611. https://doi.org/10.1007/s11750-020-00584-9

Vancouver

Pantuso G, Hvattum LM. Maximizing performance with an eye on the finances: a chance-constrained model for football transfer market decisions. TOP. 2021 jan.;29:583–611. https://doi.org/10.1007/s11750-020-00584-9

Author

Pantuso, G. ; Hvattum, L. M. / Maximizing performance with an eye on the finances : a chance-constrained model for football transfer market decisions. I: TOP. 2021 ; Bind 29. s. 583–611.

Bibtex

@article{dd49d852ae7f403cba6567929dc64fde,
title = "Maximizing performance with an eye on the finances: a chance-constrained model for football transfer market decisions",
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, Integer programming, Sport, Sports management, Stochastic programming, Team composition",
author = "G. Pantuso and Hvattum, {L. M.}",
year = "2021",
month = jan,
doi = "10.1007/s11750-020-00584-9",
language = "English",
volume = "29",
pages = "583–611",
journal = "TOP",
issn = "1134-5764",
publisher = "Springer",

}

RIS

TY - JOUR

T1 - Maximizing performance with an eye on the finances

T2 - a chance-constrained model for football transfer market decisions

AU - Pantuso, G.

AU - Hvattum, L. M.

PY - 2021/1

Y1 - 2021/1

N2 - 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.

AB - 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.

KW - Association football

KW - Integer programming

KW - Sport

KW - Sports management

KW - Stochastic programming

KW - Team composition

UR - https://arxiv.org/abs/1911.04689

U2 - 10.1007/s11750-020-00584-9

DO - 10.1007/s11750-020-00584-9

M3 - Journal article

AN - SCOPUS:85093927970

VL - 29

SP - 583

EP - 611

JO - TOP

JF - TOP

SN - 1134-5764

ER -

ID: 256830799