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We introduce an innovative methodology to identify football players at theorigin of threatening actions in a team. In our framework, a threat is definedas entering the opposing team's danger area. We investigate the timing ofthreat events and ball touches of players, and capture their correlation usingHawkes processes. Our model-based approach allows us to evaluate a player'sability to create danger both directly and through interactions with teammates.We define a new index, called Generation of Threat (GoT), that measures in anunbiased way the contribution of a player to threat generation. Forillustration, we present a detailed analysis of Chelsea's 2016-2017 season,with a standout performance from Eden Hazard. We are able to credit each playerfor his involvement in danger creation and determine the main circuits leadingto threat. In the same spirit, we investigate the danger generation process ofStade Rennais in the 2021-2022 season. Furthermore, we establish acomprehensive ranking of Ligue 1 players based on their generated threat in the2021-2022 season. Our analysis reveals surprising results, with players such asJason Berthomier, Moses Simon and Frederic Guilbert among the top performers inthe GoT rankings. We also present a ranking of Ligue 1 central defenders interms of generation of threat and confirm the great performance of somecenter-back pairs, such as Nayef Aguerd and Warmed Omari.

Crediting football players for creating dangerous actions in an unbiased way: the generation of threat (GoT) indices