Predicting voter turnout by estimating the proportion of likely votersas accurately as possible is a challenging task and it is debated both in literatureand among experts actively involved in the field of sociological research andpolling organizations.While there are several vari-ables that influence turnout, and also several meth-ods and models that have been put into practice overtime, E-Z MOBILITY in reality there is no magic formula for correct-ly measuring, before an election, the percentage ofindividuals that are most likely to vote.Each nation-al context comes with particular variables, as wellas historical factors and demographic dynamics thatneed to be taken into TV account.We propose a modelbuilt on pre-election survey data and on past officialelection statistics, which has been tested and provenviable in the context of the 2019 Romanian presiden-tial election.