# Burnout 2025: MotoGP Data Analytics Challenge 🏁 IEEE Computer Society MUJ presents *Burnout 2025*! 🌟 Step into the fast-paced world of MotoGP racing and analyse rider performance, lap times, and race strategies across multiple seasons. With a dataset packed with racing stats, this competition provides a comprehensive look at the sport’s dynamics, challenging you to push the boundaries of data science in motorsports. --- ## Competition Objective The goal is to leverage data analytics, machine learning, and statistical modeling to predict MotoGP race outcomes and uncover insights into racing dynamics. Participants will explore the dataset, identify key patterns, and build predictive models to forecast rider performance, offering a fresh perspective on the sport. --- ## Dataset and Features πŸ—ƒοΈ Participants will work with a detailed MotoGP dataset featuring lap times, rider statistics, weather conditions, race strategies, and team performance metrics. By blending creativity, domain knowledge, and advanced analytics, participants can unlock unique insights into what drives success on the track. --- ##Competition Details - Round 1 Start Date: 06/14/2025 10:00 AM IST (06/14/2025 04:30 AM UTC) - Round 1 End Date: 06/14/2025 10:00 PM IST (06/14/2025 04:30 PM UTC) - Round 2 (Presentation): 06/15/2025 2:30 PM IST onwards (06/15/2025 09:00 AM UTC) ##Join the Burnout Challenge! πŸ† Rev up your analytical engines and dive into the world of MotoGP analytics! Join us to unravel the complexities of racing data and redefine how we understand performance on the track. This is your chance to shine in the intersection of data science and motorsports. Good luck, and may the best data scientists race to the top in this thrilling Burnout competition! πŸ’―