Cricket has entered a new era driven not just by skill and strategy, but by data and technology. From predicting player performance to decoding opposition tactics, modern cricket analytics is evolving rapidly, thanks to groundbreaking technological advancements. 1. Data Driven Decision Making Teams now use advanced algorithms and historical data to craft bowling plans, set field placements, and select playing XIs. Tools like Hawk Eye, CricViz, and StatsGuru allow analysts to break down every delivery, shot, and dismissal for strategic insights. 2. Video Analysis & AI Tracking Coaches use slow motion video and AI powered tracking systems to study batting stances, bowling actions, and fielding movements. This helps in fine tuning player techniques and identifying flaws before they become habits. 3. Wearable Tech & Fitness Monitoring Modern cricketers wear GPS trackers and sensors that monitor heart rate, distance covered, and fatigue levels during training and matches. This data ensures optimized workloads and injury prevention, improving overall player longevity and performance. 4. Predictive Analytics & Match Simulations AI models now simulate match conditions, predict outcomes, and suggest winning strategies. Teams run simulations to anticipate how different players will perform under various scenarios helping in real time decision making. 5. Fan Engagement & Broadcast Enhancements Technology has also enhanced the viewer experience with ultra edge, snickometer, real time stats overlays, and interactive scorecards. Fans now engage deeper with the game through apps, fantasy leagues, and live analytical breakdowns. Conclusion Technology in cricket isn't just a support system anymore it's central to how the game is played, coached, and watched. As innovation continues, the future of cricket analytics promises to be more precise, predictive, and performance focused than ever before.