Training players in esports does not require all the rigorous physical training that may be done in traditional sports, but it still has some physicalities to it such as nutrition, wrist and eye exercises, and specific exercise routines to help with focus and maintain energy levels. AI in esports is the edge in technological advancement that raises the bar in esports, through game data analysis and predictions to help improve player gameplay strategies, while combating opponent strategies.
Challenges Esports Players Face
The mental aspect in the performance in esports requires techniques such as meditation, visualization, and mindfulness. These techniques help to maintain the players focus and concentration in competitions and stay sharp, calm and work under pressure during hours of gameplay.
Strategic planning and analysis in esports games is also crucial just as much as it is done in traditional sports — studying playbooks, watching game replays, etc. In esports, players may need to watch game replays, analyze their gameplays, and do a lot of practice with coaches and analysts to develop strategies.
Photo Credit: Bing AI
AI Tools Used to Train Players
The following AI tools that can be used to help train esports players:
OpenAI Five: For esports players, using AI opponents can help with optimizing strategies, serving as valuable training tools for players. OpenAI consists of five neural networks that act as AI opponents for human players that learn from human actions and adapt their strategies.
SenpAI: This is an AI program created by Falcon AI that is web designed and used to train esports players by analyzing their gameplay and suggest playstyles and offer in-game guidance on how to win games. Popular games such as DOTA2, Valorant and League of Legends use SenpAI to help esports players to enhance their performance and provide real-time game analysis.
EnemyAI: This is a popular AI technique that uses the concept called “Finite State Machine” to create highly competitive non-player characters (NPCs). These NPCs pose challenges to make gameplay engaging and exciting. Games such as Assassin’s Creed Rogue, and Metal Gear Solid: The Phantom Pain use EnemyAI to provide a dynamic gameplay experience.
RivalAI: To help with the recruiting of skilled players for teams (and as crucial as this is), talent scouting through Rival.ai, that analyzes player performance by utilizing a variety of AI capabilities. Image recognition and machine learning techniques are used to provide comprehensive reports to scouting teams. So recruiting players will not be time wasting because this will be done by data-driven decisions.
Liberatus: This is an AI program that is used in strategy games such as chess, where players are pushed to learn and adapt, enhancing their performance and optimizing their strategies.
With the introduction and implementation of AI in gaming and esports, it is going beyond developing unique games and more about developing a realistic environment for better virtual experiences.
Esports has helped create jobs for lots of people. Interested in knowing about the business side of esports? Listen to the Gamers Change Lives Podcast! We get experienced guests from all around the world featuring.
Written By Jeffrey Osei-Agyeman
