Esports Earning Analysis Using Regression Model

This analysis finds the possible earnings in competitive gaming, based on the ‘Strategy’ genre. In the esports industry, it is very important to know which type of games can generate more revenue for players, and also investors should know the teams and games for investment. This analysis aims to give insights into the financial outcomes for players and give proper decisions to the investors to invest in a worthwhile team or game. We have used exploratory data analysis (eda), data visualization techniques, linear regression analysis, data manipulation techniques, and correlation analysis. The important result of our research is how the earnings are correlating to tournaments. Through the research, a player can choose the right games for a growing career, and an investor can invest in a proper team and game. Through the research, we can expect more earnings from tournaments, and esports teams can get more investment to improve their skills. The research is innovative and unique compared to prior studies for its linear regression modeling and correlation analysis.