Using Multivariate Normal Distribution and Poisson Distribution for Spawn Items in Battle Royale Games

Nowadays, computer games have gained immense popularity, captivating gamers who can easily spend hours engrossed in their laptops. However, not every game has the ability to keep players emotionally engaged. To achieve this, a game requires a unique storyline and well-developed characters, each with their own distinct traits. One genre that tends to be highly addictive is the "survival of the fittest" concept, where a player's success depends on their chosen gameplay strategy. This article explores the utilization of multivariate normal distribution and Poisson distribution for spawning items in "Battle Royale" games. The term "Battle Royale" refers to a specific genre of video games that has gained significant traction in recent years. These games typically involve a large number of players competing simultaneously within a single game session, often ranging from tens to hundreds of participants. The primary objective for players in battle royale games is to survive and outlast their opponents, creating an intense and competitive gaming experience.