Maximizing performance with an eye on the finances: a chance-constrained model for football transfer market decisions
Research output: Contribution to journal › Journal article › Research › peer-review
Standard
Maximizing performance with an eye on the finances : a chance-constrained model for football transfer market decisions. / Pantuso, G.; Hvattum, L. M.
In: TOP, Vol. 29, 01.2021, p. 583–611.Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
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