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Heatmaps in soccer: Event vs tracking datasets

Author

Listed:
  • Garrido, David
  • Burriel, Borja
  • Resta, Ricardo
  • del Campo, Roberto López
  • Buldú, Javier M.

Abstract

We investigate how similar heatmaps of soccer players are when constructed from (i) event datasets and (ii) tracking datasets. When using event datasets, we show that the scale at which the events are grouped strongly influences the correlation with the tracking heatmaps. Furthermore, there is an optimal scale at which the correlation between event and tracking heatmaps is the highest. However, even at the optimal scale, correlations between both approaches are moderate. Furthermore, there is high heterogeneity in the players’ correlation, ranging from negative values to correlations close to the unity. We show that the number of events performed by a player does not crucially determine the level of correlation between both heatmaps. Finally, we analysed the influence of the player position, showing that defenders are the players with the highest correlations while forwards have the lowest.

Suggested Citation

  • Garrido, David & Burriel, Borja & Resta, Ricardo & del Campo, Roberto López & Buldú, Javier M., 2022. "Heatmaps in soccer: Event vs tracking datasets," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).
    • Handle: RePEc:eee:chsofr:v:165:y:2022:i:p2:s0960077922010062
    DOI: 10.1016/j.chaos.2022.112827
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    References listed on IDEAS

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    1. Eduard Pons & Tomás García-Calvo & Ricardo Resta & Hugo Blanco & Roberto López del Campo & Jesús Díaz García & Juan José Pulido, 2019. "A comparison of a GPS device and a multi-camera video technology during official soccer matches: Agreement between systems," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-12, August.
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