Arsenal recruits thanks to ChatGPT, the embarrassing revelation

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By: Manu Tournoux

Arsenal have an “artificial intelligence dossier” which sources say is assisting Mikel Arteta in his quest for the Premier League title.

The coach thus benefits from valuable information on transfers, tactics and even injuries. This quiet revolution aims to create the most technologically advanced organization in English football. Computer models, powered by millions of data points, help anticipate problems before they even arise.

AI takes control of Arsenal

According to the Daily Mail, the Gunners have rapidly expanded their data science department, investing heavily in artificial intelligence infrastructure. Competing with Europe’s elite clubs is a tall order, and Arsenal’s management have made it clear that to remain competitive requires not only talent on the pitch, but also tactical intelligence behind the scenes. A well-executed rotation can prevent injury to a key player. A good recruiting masterstroke can reveal a rare gem where others see no interest. Arteta has already hinted, albeit cautiously, that the adoption of AI within the club is already underway.

“It’s already being used for many things and many processes that can help not only a team, but an entire organization,” he said. “This will improve and provide us with valuable information, or at least food for thought. I’m no expert, but it’s a valuable tool. We have developed some things that we believe can help us better understand ourselves and evaluate our performance and areas for improvement. »

The Gunners have internal performance models.

The biggest advances at the London Colney training center come from their bespoke performance models, artificial intelligence programs designed in-house by Arsenal’s data scientists. Every day, huge volumes of information are collected, including GPS maps of sprints, recovery times, energy expenditure, biomechanical data, match actions and even micro-movements during training exercises.

Unlike traditional analytics, which often rely on video clips and subjective assessments, these systems process tens of thousands of data points for each session. The models then learn to identify signs of fatigue, mechanical inefficiencies and subtle warning signals with precision imperceptible to the naked eye. The change is profound, as Arsenal are now preparing for what is going to happen, instead of reacting to what has just happened.