Scheduling sport competitions is a complex optimization problem where various wishes need to be satisfied. However, the resulting schedule is rarely played as planned due to unforeseen circumstances (e.g. bad weather). This proposal abandons the traditional assumption of deterministic problem parameters. We empirically study the impact of uncertainty on sport schedules and develop methods that are robust to changing environments.