Moneyball: Analyzing the Efficiency of English Premier League Strikers Using Data Envelopment Analysis

Aniekan Essien (), Marios Kremantzis, Dhiraj Joshi and Fatema Zaghloul
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Aniekan Essien: University of Bristol Business School
Marios Kremantzis: University of Bristol Business School
Dhiraj Joshi: University of Bristol Business School
Fatema Zaghloul: University of Bristol Business School

Chapter Chapter 11 in Business Analytics and Decision Making in Practice, 2024, pp 119-132 from Springer

Abstract: Abstract In the spirit of the ‘moneyball’ paradigm, this study introduces the Player Performance Efficiency Index (PEI), designed for English Premier League football players, using an advanced Data Envelopment Analysis (DEA) framework. Our study improves upon traditional DEA models by adding relative weight constraints, positive weight attributions, and cross-efficiency considerations, proposing an index that closely mirrors real-world conditions and aligns with expert opinions. The PEI objectively evaluates players across four key technical dimensions: (i) goal-scoring, (ii) creative playmaking, (iii) dribbling, and (iv) defense. It serves as a valuable decision-making tool for club management, coaches, and players. Empirical findings from our study show a strong correlation between player efficiency and team success, particularly in goal-scoring and playmaking. The PEI enhances existing performance metrics, offering a more comprehensive, objective assessment of player performance.

Keywords: Data Envelopment Analysis (DEA); Player Performance Efficiency Index (PEI); English Premier League (EPL); Football analytics (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/978-3-031-61589-4_11

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