Described is a system (and method) for training and using machine learning models to identify potential discrepancies between predicted odds and actual odds for a future event. The system may create a predicted odds machine learning model using an ensemble training algorithm. To create the risk management machine learning model, the system may determine a set of past odds differences between predicted odds outputted by the predicted odds machine learning model for past events and the actual historical odds for those past events. Once the predicted odds machine learning model and risk management machine learning model are trained, the system may use current (or real-time) event information to determine potential opportunities to leverage based on discrepancies between predicted odds of upcoming events and the actual odds for those events.