Detection of data races in Java programs remains a difficult problem. The best static techniques produce many false positives, and also the best dynamic techniques leave room for improvement. With Racageddon we present a new technique called "Race Directed Scheduling" that for a given race candidate searches for an input and a schedule that lead to the race. The search iterates a combination of concolic execution and schedule improvement, and turns out to find useful inputs and schedules efficiently.