The Football Team Composition Problem: A Stochastic Programming approach

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The Football Team Composition Problem : A Stochastic Programming approach. / Pantuso, Giovanni.

I: Journal of Quantitative Analysis in Sports, Bind 13, Nr. 3, 26.09.2017, s. 113-129.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Pantuso, G 2017, 'The Football Team Composition Problem: A Stochastic Programming approach', Journal of Quantitative Analysis in Sports, bind 13, nr. 3, s. 113-129. https://doi.org/10.1515/jqas-2017-0030

APA

Pantuso, G. (2017). The Football Team Composition Problem: A Stochastic Programming approach. Journal of Quantitative Analysis in Sports, 13(3), 113-129. https://doi.org/10.1515/jqas-2017-0030

Vancouver

Pantuso G. The Football Team Composition Problem: A Stochastic Programming approach. Journal of Quantitative Analysis in Sports. 2017 sep. 26;13(3):113-129. https://doi.org/10.1515/jqas-2017-0030

Author

Pantuso, Giovanni. / The Football Team Composition Problem : A Stochastic Programming approach. I: Journal of Quantitative Analysis in Sports. 2017 ; Bind 13, Nr. 3. s. 113-129.

Bibtex

@article{f2ccade88a4f4f60a054dbad92858287,
title = "The Football Team Composition Problem: A Stochastic Programming approach",
abstract = "Most professional European football clubs are well-structured businesses. Therefore, the financial performance of investments in players becomes crucial. In this paper, after the problem is discussed and formalized, an optimization model with the objective of maximizing the expected value of the team is presented. The model ensures that the team has the required mix of skills, that competition regulations are met, and that budget limits are respected. The model explicitly takes into account the uncertainty in the career development of football players. A case study based on the English Premier League is presented. Our results show that the model has significant potential to improve current decisions ensuring a steady growth of the value of the team. The team value growth reported is particularly driven by investments in young prospects.",
keywords = "soccer, sports management, stochastic programming, team composition",
author = "Giovanni Pantuso",
year = "2017",
month = sep,
day = "26",
doi = "10.1515/jqas-2017-0030",
language = "English",
volume = "13",
pages = "113--129",
journal = "Journal of Quantitative Analysis in Sports",
issn = "1559-0410",
publisher = "De Gruyter",
number = "3",

}

RIS

TY - JOUR

T1 - The Football Team Composition Problem

T2 - A Stochastic Programming approach

AU - Pantuso, Giovanni

PY - 2017/9/26

Y1 - 2017/9/26

N2 - Most professional European football clubs are well-structured businesses. Therefore, the financial performance of investments in players becomes crucial. In this paper, after the problem is discussed and formalized, an optimization model with the objective of maximizing the expected value of the team is presented. The model ensures that the team has the required mix of skills, that competition regulations are met, and that budget limits are respected. The model explicitly takes into account the uncertainty in the career development of football players. A case study based on the English Premier League is presented. Our results show that the model has significant potential to improve current decisions ensuring a steady growth of the value of the team. The team value growth reported is particularly driven by investments in young prospects.

AB - Most professional European football clubs are well-structured businesses. Therefore, the financial performance of investments in players becomes crucial. In this paper, after the problem is discussed and formalized, an optimization model with the objective of maximizing the expected value of the team is presented. The model ensures that the team has the required mix of skills, that competition regulations are met, and that budget limits are respected. The model explicitly takes into account the uncertainty in the career development of football players. A case study based on the English Premier League is presented. Our results show that the model has significant potential to improve current decisions ensuring a steady growth of the value of the team. The team value growth reported is particularly driven by investments in young prospects.

KW - soccer

KW - sports management

KW - stochastic programming

KW - team composition

U2 - 10.1515/jqas-2017-0030

DO - 10.1515/jqas-2017-0030

M3 - Journal article

VL - 13

SP - 113

EP - 129

JO - Journal of Quantitative Analysis in Sports

JF - Journal of Quantitative Analysis in Sports

SN - 1559-0410

IS - 3

ER -

ID: 189768246