Hunting Football Hidden Gems with AI and Data Analytics

The world of football talent scouting has evolved far beyond traditional touchline observations, with top European clubs increasingly relying on advanced data analytics and artificial intelligence. Take Dario Osorio, the teenage winger from Universidad de Chile dubbed his generation's Alexis Sanchez, whose rise was closely tracked by AC Milan, RB Leipzig, and other English and German clubs before his move to Denmark at age 19.

Kristian Kjaer, technical director at Midtjylland, explains that the club was well aware of Osorio long before his transfer. After three seasons in Scandinavia, the winger joined Crystal Palace on loan this summer with a £24m option to buy, poised to become the most expensive sale in Danish Superliga history.

Sam Turner, head of operations at scouting platform Eyeball, describes this era as one of the most transformational periods in talent identification. Clubs can now access unprecedented detail on players aged 13 to 21 across 42 markets from Europe to Africa and Latin America, with the platform capturing over 2,000 data points every single match.

Stock photo for illustration only, not from the actual event

When you have done your due diligence and you feel certain, pull the trigger. The pace in decision-making is also a hidden gem.

Kristian Kjaer, Technical Director at Midtjylland

While Latin America remains a talent hotbed where clubs like Cruzeiro reject 4,000 players under 15 for every one accepted, emerging regions are gaining prominence. Uzbekistan featured 22-year-old Manchester City defender Abdukodir Khusanov at the World Cup, and Azerbaijan is pioneering a national talent network to boost domestic football.