A team of association football players may be envisioned as a directed network with player nodes and weighted pass edges. Such a simplistic representation of an otherwise complex structure yields several benefits, but also permits the application of well-established network analysis approaches, to gain insights into the match flow. The authors of this work propose the application of these, including centrality measures, community detection methods, and the analysis of induced subgraphs, to analyze the potential effects certain match events have on the team. In addition to reporting on their findings, they emphasize their work's contribution of over 9000 novel football network representations to the Network Analysis community.