A mathematics professor at the TEC (Technological Institute of Monterrey) has developed a mathematical model to predict the outcomes of second-round matches in the 2026 World Cup. The model calculates the probabilities of win, draw, and loss for each team’s second game. The research aims to provide data-driven insights into potential results during the tournament. Specific probabilities for each national team were calculated using the model, though the article does not detail individual team predictions. This analysis offers a quantitative perspective on the competition beyond traditional punditry. The model’s methodology wasn’t detailed in the provided text, but it represents an attempt to apply statistical analysis to the unpredictable nature of international football. The findings could be of interest to fans, analysts, and potentially even teams preparing for the tournament.