In the vast landscapes of Brazil, where football pulses through every neighborhood and favela, a quiet revolution is underway. Artificial intelligence is stepping onto the pitch, offering new ways to spot raw talent that traditional scouts might overlook. The question on many minds is whether these technologies could identify Brazil’s next global superstar, echoing the legacy of Pelé, the legendary forward who rose from humble beginnings in Três Corações to captivate the world.

How AI Soccer Scouting Works in Practice

AI soccer scouting relies on machine learning algorithms and computer vision to analyze video footage of young players. Users upload short clips of matches, training sessions, or standardized drills performed with a ball. The system evaluates technical skills such as dribbling, passing accuracy, shooting power, and decision-making under pressure. It also assesses physical attributes like speed and agility through motion tracking, while some platforms incorporate psychological indicators from performance patterns.

Unlike human scouts limited by geography and time, these tools process thousands of videos rapidly. They generate numerical scores and rankings that clubs can review remotely. This process democratizes access, allowing players from remote areas or smaller clubs to gain visibility without traveling to major urban centers for tryouts.

Leading Platforms Making Waves in Brazil

Footbao has emerged as a prominent player in this space. The app has attracted around 120,000 users, predominantly in Brazil, and partners with top clubs including Palmeiras, Corinthians, São Paulo, and Santos. Players submit videos of games and individual plays, after which AI models combined with expert review identify promising athletes and recommend them to partner teams.

Another tool, Cuju, developed by Germany’s Rogon Technologies, launched in 2025 and has seen approximately 160,000 downloads. It focuses on standardized video drills that the AI evaluates for potential. Santos FC announced a partnership with such technology in December to broaden its search for young prospects, according to club president Marcelo Teixeira.

Real-World Success Stories from Brazilian Talent

One standout example is Leonardo Veiga, an 18-year-old midfielder who was recruited by Italian club Spezia after a period at Lecce. His discovery through the platform highlights how AI can accelerate pathways for overlooked players. Another case involves defender Gloria Gasparini, signed by Corinthians and selected for Brazil’s under-17 national team.

Marcela Geremias de Lima, a Brazilian player, gained an invitation to showcase her skills at youth tournaments organized by CUJU after using the app. These stories illustrate the shift from traditional tryouts to data-driven identification, helping talents from diverse backgrounds reach professional levels.

Perspectives from Brazilian Clubs and Experts

João Paulo Sampaio, head of youth development at Palmeiras—the club that nurtured stars like Endrick and Estêvão—notes that while his team still receives dozens of videos daily from traditional sources, AI tools provide valuable pre-selection. He views them as a complementary resource rather than a replacement for experienced eyes.

Club executives emphasize expansion of scouting networks. Santos’ involvement signals broader adoption among Brazil’s historic giants, aiming to maintain the country’s status as a leading exporter of football talent worldwide.

Photo by Vinicius "amnx" Amano on Unsplash

Benefits of AI in Democratizing Talent Discovery

Traditional scouting often favors players in well-known academies or urban hubs. AI levels the field by evaluating anyone with a smartphone and internet access. This inclusivity could uncover gems in Brazil’s interior regions or among girls’ teams, where resources have historically been scarcer.

Speed is another advantage. What once took months of travel and observation can now happen in days through automated analysis. Clubs gain efficiency, reducing costs associated with extensive scouting trips while increasing the volume of candidates reviewed.

Challenges and Limitations of the Technology

Despite promise, AI soccer scouting faces hurdles. Algorithms may miss intangible qualities like leadership, resilience, or creativity that human scouts intuitively detect. Data quality depends on video clarity and standardization, and biases in training data could inadvertently favor certain playing styles or demographics.

Privacy concerns arise with widespread video uploads, and over-reliance on scores risks sidelining late bloomers or players whose strengths emerge in match contexts rather than drills. Experts stress that AI serves best as a filter, with final decisions remaining in human hands.

Comparing AI Tools to Traditional Scouting Methods

Traditional Brazilian scouting revolves around “pelada”—informal street games—and organized tournaments where scouts physically attend. This method excels at spotting character and adaptability in chaotic environments but limits reach.

AI complements this by providing objective metrics across a massive dataset. Platforms like Footbao and Cuju act as initial sieves, flagging high-potential candidates for in-person evaluation. The hybrid approach combines scalability with nuanced judgment.

The Future Outlook for AI in Brazilian Football

As adoption grows, more clubs are likely to integrate these tools into youth development pipelines. Market projections indicate rapid expansion of AI player scouting platforms globally, with Latin America positioned for growth due to its talent export strength. Brazil, as the world’s largest exporter of soccer players, stands to benefit significantly from refined identification processes.

Future iterations may incorporate wearable sensors, real-time match data, and advanced predictive modeling for injury risk and long-term potential. This evolution could help sustain Brazil’s competitive edge on the international stage.

Implications for Players, Clubs, and the National Game

For aspiring footballers, these platforms offer hope and opportunity, reducing barriers tied to location or connections. Clubs gain a broader talent pool, potentially unearthing the next generation of stars who might have slipped through the cracks.

Nationally, enhanced scouting supports the pipeline feeding Brazil’s senior team and top domestic leagues. While no technology guarantees another Pelé, the integration of AI represents a forward-thinking adaptation in a sport where marginal gains matter immensely.

Photo by Alice Yamamura on Unsplash

Further reading on these developments is available in a detailed New York Times report and analyses from TechXplore and The Straits Times.