Predicting Weather Disruptions for the ICC Champions Trophy 2025 in Pakistan Using Machine Learning and Data Analytics

Abstract

With an emphasis on the upcoming ICC Champions Trophy 2025, which will be staged in Pakistan, our research paper examines the complex relationship between weather and cricket. Correct forecasting of the weather is crucial for outdoor sporting events to avoid cancellations and guarantee peak athlete performance since climate change has an increasing impact on weather patterns. Pakistan's varied terrain, which encompasses plains, hilly areas, and coastal regions, contributes to the country's notable variety in climate. It is vital for event planners to comprehend local climate dynamics since this variability causes unpredictable weather patterns, such as monsoon rains, intense heat waves, and droughts. Our approach comprised combining real-time analytics with historical weather data from Open-Meteo, as well as using Python tools and the Machine Learning algorithm to predict rain during a game. Power BI is used to show the results, giving a thorough understanding of the climatic trends in three important cities: Karachi, Lahore, and Rawalpindi. The research highlights the significance of data-driven decision-making for event planners, as it empowers them to execute efficient backup plans The main objective of this research is to improve the sports environment for both players and spectators while tackling the urgent problems caused by climate variability.