We introduce an innovative methodology to identify football players at the origin of threatening actions in a team. In our framework, a threat is defined as entering the opposing team's danger area. We investigate the timing of threat events and ball touches of players, and capture their correlation using Hawkes processes. Our model-based approach allows us to evaluate a player's ability to create danger both directly and through interactions with teammates. We define a new index, called Generation of Threat (GoT), that measures in an unbiased way the contribution of a player to threat generation. For illustration, we present a detailed analysis of Chelsea's 2016-2017 season, with a standout performance from Eden Hazard. We are able to credit each player for his involvement in danger creation and determine the main circuits leading to threat. In the same spirit, we investigate the danger generation process of Stade Rennais in the 2021-2022 season. Furthermore, we establish a comprehensive ranking of Ligue 1 players based on their generated threat in the 2021-2022 season. Our analysis reveals surprising results, with players such as Jason Berthomier, Moses Simon and Frederic Guilbert among the top performers in the GoT rankings. We also present a ranking of Ligue 1 central defenders in terms of generation of threat and confirm the great performance of some center-back pairs, such as Nayef Aguerd and Warmed Omari.
翻译:我们引入一种创新的方法,以识别团队中构建危险威胁动作的足球球员。在我们的框架中,威胁被定义为进入对方球队的危险区域。我们调查球员威胁事件和球触碰的时间,并使用Hawkes过程捕捉它们之间的相关性。我们的基于模型的方法使我们能够评估球员直接和通过队友互动产生威胁的能力。我们定义了一种新的指数,称为威胁生成(Got),以一种公正的方式衡量球员对威胁产生的贡献。为了举例说明,我们展示了切尔西2016-2017赛季的详细分析,伊顿·哈扎德(Eden Hazard)表现出色。我们能够归因于每个球员对于危险创造的参与度,并确定导致威胁的主要线路。以同样的精神,我们研究了Stade Rennais在2021-2022赛季的危险生成过程。此外,我们建立了Ligue 1球员的全面排名,基于他们在2021-2022赛季中的威胁生成情况。我们的分析揭示了令人惊讶的结果,例如Jason Berthomier,Moses Simon和Frederic Guilbert等球员是Got排名前列的最佳表现者。我们还根据威胁生成来排名Ligue 1中的中后卫,并确认了一些中后卫组合的出色表现,例如Nayef Aguerd和Warmed Omari。