Machine Learning Driven Predictions for IPL Match Results

Soccer is India's preferred sport, along with T20 International, One Day International, and Test cricket formats. The IPL is the most-watched cricket league in India, comprising local and international players. There is no doubt that the IPL plays an instrumental role in increasing India’s economic revenue, boasting billions of rupees on a yearly basis. Both seasons earn revenue from broadcasting rights, sponsorship, ticket sales, merchandise sales, and new employment in diverse industries. The IPL has a multiplier effect across tourism, hotel, and advertising businesses. Its share in India’s gross income demonstrates how sports can help foster economic development. The expectations of the performances of the IPL teams are relevant for online traders and sponsors to make their bets. Factors affecting predictions include team combinations, players' averages, past match records, and typical factors like the side that wins the toss, the venue, and the day-night factor. The forecast of IPL match results is created using an algorithm based on the Random Forest Classifier (RFC) and Gradient Boosting.