How Scottish FA used AI in selecting new Scotland boss Pocognoli

The Scottish Football Association (SFA) utilized artificial intelligence (AI) to select Sebastian Pocognoli as their new head coach. Around 20 individuals expressed interest in the position, but none were interviewed as the AI system deemed them unsuitable. The era of human selection has been replaced by data-driven decision-making, thanks to football analytics and AI.

Pocognoli, a Belgian national, was one of 40 candidates generated by the computer after analyzing data from 10 different countries with similar demographics and football histories to Scotland. The SFA's data team, in collaboration with external experts, identified key factors such as culture, genetics, and weather that contribute to footballing success.

Surprisingly, the data revealed that first-time international coaches and managers over 50 were equally successful as those with prior international experience and in their 40s.

While the AI process played a significant role, the final selection ultimately relied on face-to-face meetings with candidates. Football strategist Lee Mooney, who previously worked as the analytics director at Manchester City, emphasized that identifying a suitable manager is one of the most challenging aspects of the job. He compared the process to evaluating a Formula One driver's performance, independent of the car.

Mooney highlighted that understanding a player's capabilities is crucial before determining the value added through coaching.

The use of AI in football recruitment has raised questions and concerns among fans. If Pocognoli succeeds, there will be no need for further scrutiny. However, if he fails, there may be calls for a different approach.