Systems and methods for analyzing user chance predictions to determine a user classification

Abstract

Systems and methods are disclosed for determining one or more chance predictions for a predictive user. One method comprises receiving a bullish threshold, a bearish threshold, and one or more time periods from at least one user, receiving a plurality of predictions from one or more prediction databases, receiving one or more basis sets, based on the plurality of predictions, determining, at least one p-score for each of the one or more time periods, calculating a null distribution of successful predictions based on the one or more basis sets and the one or more time periods, determining a prediction user p-value based on the null distribution and the at least one p-score, selecting a classification for the at least one prediction user based on the prediction user p-value, and displaying at least one graphical widget corresponding to the classification on one or more interfaces of a user device.