In this experiment, we worked over a Bayesian decision network, considering a priori historical records to give a posteriori estimation of a future result, adding a wide range of data which could affect matches outcome directly.
We analyzed from FIFA's ranking, team performance and goals average to climatic variables, most valuable players and each team's mood.
Paul updates itself match to match, adding the last data from the tournament to recalibrate its decisions on future predictions.
Long live Paul.
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