A Dimension Reduction Approach to Player Rankings in European Football

Download
2021-08-24
Aydemir, Ayşe Elvan
Taşkaya Temizel, Tuğba
Temizel, Alptekin
Preshlenov, Kliment
Strahinov, Daniel
Player performance evaluation is a challenging problem with multiple dimensions. Football (soccer) is the largest sports industry in terms of monetary value and it is paramount that teams can assess the performance of players for both financial and operational reasons. However, this is a difficult task, not only because performance differs from position to position, but also it is based on competition, time played and team play-styles. Because of this, raw player statistics are not comparable across players and must be processed to facilitate a fair performance evaluation. Furthermore, teams may have different requirements and a generic player performance evaluation does not directly serve the particular expectations of different clubs. In this study, we provide a generic framework for estimating player performance and performing player-fit-to-criteria assessment, under different objectives, for left and right backs from competitions worldwide. The results show that the players who have ranked high have increased their transfer values and they have moved to suitable teams. Global nature of the proposed methodology expands the analyzed player pool, facilitating the search for outstanding players from all available competitions.

Suggestions

A DATA DRIVEN PERFORMANCE EVALUATION FRAMEWORK FOR SPORTS ANALYTICS
Aydemir, Ayşe Elvan; Taşkaya Temizel, Tuğba; Temizel, Alptekin; Department of Bioinformatics (2021-9-08)
Performance evaluation is a challenging, multidimensional and multi-criteria assessment problem. One application area is the player transfers in football (soccer), where player performance must be evaluated in-line with their responsibilities on the field. In this area of study, raw player performance statistics are not representative because of the external factors impacting the performance such as time-played, injuries, competition difficulty and characteristics, strength of the opponent, impact of action...
Improved state estimation for jump Markov linear systems
Orguner, Umut; Demirekler, Mübeccel; Department of Electrical and Electronics Engineering (2005)
This thesis presents a comprehensive example framework on how current multiple model state estimation algorithms for jump Markov linear systems can be improved. The possible improvements are categorized as: -Design of multiple model state estimation algorithms using new criteria. -Improvements obtained using existing multiple model state estimation algorithms. In the first category, risk-sensitive estimation is proposed for jump Markov linear systems. Two types of cost functions namely, the instantaneous an...
An interactive approach for multiobjective decision making
Koksalan, M; Karasakal, Esra (Informa UK Limited, 2006-05-01)
We develop an interactive approach for multiobjective decision-making problems, where the solution space is defined by a set of constraints. We first reduce the solution space by eliminating some undesirable regions. We generate solutions (partition ideals) that dominate portions of the efficient frontier and the decision maker (DM) compares these with feasible solutions. Whenever the decision maker prefers a feasible solution, we eliminate the region dominated by the partition ideal. We then employ an inte...
Approaches for multi-objective combinatorial optimization problems
Lokman, Banu; Köksalan, Murat; Department of Industrial Engineering (2007)
In this thesis, we develop two exact algorithms and a heuristic procedure for Multiobjective Combinatorial Optimization Problems (MOCO). Our exact algorithms guarantee to generate all nondominated solutions of any MOCO problem. We test the performance of the algorithms on randomly generated problems including the Multiobjective Knapsack Problem, Multi-objective Shortest Path Problem and Multi-objective Spanning Tree Problem. Although we showed the algorithms work much better than the previous ones, we also ...
AN APPROACH FOR FINDING THE MOST PREFERRED ALTERNATIVE IN THE PRESENCE OF MULTIPLE CRITERIA
Köksalan, Mustafa Murat; TANER, OV (Elsevier BV, 1992-07-10)
An interactive approach for discrete multiple criteria decision making problems is developed. The approach requires the decision maker to compare pairs of presented alternatives. These alternatives may be existing alternatives or dummy alternatives created from existing alternatives. Inferior alternatives are sequentially eliminated by either using the responses of the decision maker directly or by constructing cones of inferior solutions based on these responses. The approach converges to the most preferre...
Citation Formats
A. E. Aydemir, T. Taşkaya Temizel, A. Temizel, K. Preshlenov, and D. Strahinov, “A Dimension Reduction Approach to Player Rankings in European Football,” IEEE Access, vol. 9, pp. 119503–119519, 2021, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/91939.