For decades, football fans have marveled at the performances of legends in various tournaments, with the idea of assembling them into a single team seeming fantastical. Yet, artificial intelligence has offered a different perspective by proposing an ideal team grounded in numbers and data. It chose a classical 4-3-3 formation, justifying its selections by stating the aim is to strike a true balance between talent, physical strength, leadership, and tactical ability. The goalkeeper position was filled by the legendary Soviet player Lev Yashin, chosen as the only goalkeeper to ever win the Ballon d'Or. AI justified this selection by noting Yashin's control of the penalty area and his revolutionary role as an additional center-back, emphasizing his safety, leadership, and competitive spirit. The defensive line impressively combines energy and elegance, including Brazilian Cafu, known for his boundless energy and extensive experience in World Cups, and German Franz Beckenbauer, renowned for his tactical awareness and leadership qualities. This AI-generated line-up not only sparks discussions among football enthusiasts but also highlights the intersection of technology with sports. As machine learning progresses, the ability of AI to analyze players' performances and attributes raises intriguing questions about how technology can shape our understanding of the game and influence future selections. This advancement indicates a shift in how fans and analysts may approach team selection and evaluation in the future, blending traditional insights with modern analytical methods.