  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 analyzed the influence
of the player position, showing that defenders are the players with the highest
correlations while forwards have the lowest.
