This paper is addressing the challenge of predicting Euro 2016 outcomes. A set of processed features alongside with a new proposed feature are used to train a linear model to compute scores of 24 participating countries. The obtained scores form fwin, lose, drawg probabilities for all possible fixtures. The empirical evaluation until the semi-finals shows that the conceptually simple approach proves accurate for countries with historical data.