Journal
CHAOS SOLITONS & FRACTALS
Volume 165, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.chaos.2022.112827
Keywords
Soccer analytics; Player movement; Heatmaps; Event datasets; Tracking datasets
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Funding
- MINECO, Spain [FIS2017-84151-P]
- Comunidad de Madrid, Spain [PEJ-2018-AI/TIC-11183]
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This study investigates the similarity of heatmaps constructed from event datasets and tracking datasets, and finds that the scale of event aggregation strongly influences the correlation with tracking heatmaps. The player position also has a significant impact on the correlation.
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.
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