Previous research has examined the relationship between relative workload and injury, where acute training load is expressed in relation to chronic training load using simple ratio scaling or non-linear models including the exponentially weighted moving average (EWMA). Research has demonstrated that higher relative workloads are associated with greater injury risk; however, statistical models generally report non-intuitive statistics such as odds ratios and as a result the practical consequences of increased player loading remain unclear. Here we combine training and injury data collected in youth football with a predictive simulation approach to model the number of injuries sustained across a range of seasonal workloads
