A recent analysis used artificial intelligence to simulate the expanded 48-team World Cup 100,000 times, calculating the probability of success for each nation. The simulation considered all 104 matches of the tournament to determine potential outcomes. While specific results weren’t detailed in the provided text, the project aimed to quantify each team’s chances of winning the championship. This data-driven approach offers a probabilistic forecast, acknowledging the inherent unpredictability of the competition. The analysis highlights the complex interplay of factors influencing World Cup results. The project demonstrates the growing use of AI in sports analytics and predictive modeling. This method provides a novel perspective on assessing team performance and potential tournament trajectories.