Data analytics and machine learning in E-Sports

Electronic sports (e-sports) can be defined as multiplayer digital games played competitively by an audience. E-sports mainly includes multiplayer video game competitions between the professionals(generally). The video game most commonly played and associated with e-sports are multiplayer online battle arena (MOBA), first-person shooter (FPS), fighting, card, battle royale, and real-time strategy (RTS) games. Popular e-sports franchises include League of Legends, Dota, Counter-Strike, Valorant, Overwatch, Street Fighter, Super Smash Bros., StarCraft, etc. What’s the data analytics and its relation to e-sports?? Data analytics can be simply defined as it use for analyzing the data or simplify the data and/or high-velocity data, which presents unique computational and data-handling challenges. Skilled data analytics professionals, who generally have strong expertise in statistics, are called data scientists. Data is a fundamental requirement in every industry. Analyzing the performance o...