AI in Football: Marketing or a Game Changer?

The World Cup is a prime example of how artificial intelligence is permeating professional sports, yet its application is often driven by commercial interests rather than purely athletic advancement. Pascal Bauer, a sports informatics expert who analyzed data for the German team, explains that while AI is collecting unprecedented amounts of player and ball data, its primary purpose is not always to enhance on-field performance.

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The World Cup is a media event where a lot is about marketing – and that's also the case with data collection.

Bauer points out that betting companies were among the first to utilize football data for calculating odds. Media outlets also rely heavily on this data to provide viewers with statistics like ball possession and shot counts during broadcasts. These commercial and entertainment aspects often overshadow the potential for AI to directly improve gameplay or team strategy.

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Betting companies were among the first to use data in football to calculate their odds.

Furthermore, AI plays a significant role in supporting referees with systems that can detect offsides or confirm if a ball has crossed the goal line. While these applications enhance officiating accuracy, Bauer suggests they are not the main reason for the massive data collection efforts. The focus on marketing and media coverage means that the true impact of AI on the tactical evolution of football remains a subject of ongoing discussion, with many applications serving external commercial needs.

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Applications in sports and game analysis are therefore often not the primary reason why so much data is collected.