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A multilayer network framework for soccer analysis

Author

Listed:
  • Novillo, Álvaro
  • Gong, Bingnan
  • Martínez, Johann H.
  • Resta, Ricardo
  • del Campo, Roberto López
  • Buldú, Javier M.

Abstract

In this paper, we define a novel methodology for analyzing soccer matches and teams using spatial multilayer networks. Departing from a segmentation of the pitch into h×v regions, we create 2-layer networks that capture the exchange of ball possessions between teams throughout a match. To assess the significance of each node, we employed eigenvector centrality measures within the constructed multilayer network. Furthermore, we introduce three additional metrics, namely the leakage, recovery and switching factor, which quantify the possession transitions between layers. Finally, we apply our methodology to analyze the performance of Spanish soccer teams over an entire season, using the aforementioned multilayer parameters, and discuss the relation with the playing style and ranking of soccer teams.

Suggested Citation

  • Novillo, Álvaro & Gong, Bingnan & Martínez, Johann H. & Resta, Ricardo & del Campo, Roberto López & Buldú, Javier M., 2024. "A multilayer network framework for soccer analysis," Chaos, Solitons & Fractals, Elsevier, vol. 178(C).
    • Handle: RePEc:eee:chsofr:v:178:y:2024:i:c:s0960077923012572
    DOI: 10.1016/j.chaos.2023.114355
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    References listed on IDEAS

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    1. Bingnan Gong & Yixiong Cui & Shaoliang Zhang & Changjing Zhou & Qing Yi & Miguel-Ángel Gómez-Ruano, 2021. "Impact of technical and physical key performance indicators on ball possession in the Chinese Super League," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 21(6), pages 909-921, November.
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    4. Herrera-Diestra, J.L. & Echegoyen, I. & Martínez, J.H. & Garrido, D. & Busquets, J. & Io, F.Seirul. & Buldú, J.M., 2020. "Pitch networks reveal organizational and spatial patterns of Guardiola’s F.C. Barcelona," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).
    5. Narizuka, Takuma & Yamamoto, Ken & Yamazaki, Yoshihiro, 2014. "Statistical properties of position-dependent ball-passing networks in football games," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 412(C), pages 157-168.
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