Prediction of the results of a soccer match is carried out using several variables such as historical data. Even though the score in a soccer match cannot be predicted, however, match statistics and previous match patterns can be used to predict the outcome of the next match. So that it can help the team to evaluate and prepare strategies before competing against the opposing team. In this study, a model was made to predict match results based on historical data from FIFA world cup match results, using one of the Artificial Neural Network (ANN) algorithms, Backpropagation. The results showed the prediction of soccer results in the world cup using Backpropagation Artificial Neural Networks produces an accuracy of 80.78%.