Maximizing eSports (Apex Legends) Players Arena Performance With Big Data Modeling

With the development of society, people's spiritual world is getting richer and their pursuits are more diversified, a new kind of professional athletes of sports is born:e-sports athletes. In the rapidly developing world of e-sports, instantaneous decisions and unrivaled precision can determine victory or defeat, and the pursuit of brain power has reached a new height. As the ranks of professional players continue to grow. As the prize money increases, so does the need for players' ability to adapt to the version as well as their strategy. We will discuss one of the major categories, fps (first-person shooting game) with battle royale rules, where all teams need to keep moving and fight against each other as the safety zone on the map gradually shrinks, and only one team can win at the end. Compared to the operation of professional competitions and professional clubs and the economic benefits they bring, the leveling and training of players is still relatively primitive, and the most important decisions of a team are the ones that affect the overall strategy; the direction of the safe zone on the map is judged by the players' experience and intuition, which is very inefficient and unstable, but professional athletes need exactly the same kind of stability and excellence. However, professional athletes need a stable and excellent performance, which is in conflict with each other. So we can use big data models to calculate and categorize the various types of hoops and directions, and even the chances of winning and scoring high or low for each jump point. This will allow players to train with a clearer and more precise understanding of the possibilities, so that they can make better judgments when applying them in tournaments.