Compared to other popular sports, soccer is quite a fluid sport with high degrees of freedom, which is why evaluating games or single players' performance is more demanding and complex. Even though the availability of different types of soccer data has increased steadily over the last few years, the process of strategic and tactical decision-making is still traditionally done by single specialists. In this context, the potentials of big data analytics (BDA) provide an advantage in automatically assessing and assembling data from various sources and generating insights that exceed the analytical capability of individual human experts. We focus on this potential by developing a design science research-based BDA artifact, which aims at providing strategic decisional support for managers and experts. In several evaluations with different soccer and sports experts, we are able to show advanced usability of the artifact's instantiation over traditional tools provided by large stats providers.