Abstract

Recent years have witnessed the boom of the NBA, so there are increasingly more number of people watching and following it, no matter where they come from. And everyone has their own favourite team. Through access to information, it is widely known that the Los Angeles Clippers and the Brooklyn Nets are two favorites to win the game. Due to some reasons such as geographical reasons, “superstar effect” and others, a host of fans recognize that Clippers and Nets will meet in the finals. Additionally, they even believe that the brilliance of the game between the two teams can be beyond expectation. This work aimed to analyze and predict the winner. But there is an old saying, “There are a thousand Hamlets in a thousand people's eyes.” Thus, viewers are subjective to some degree. And most current papers use some machine learning algorithms to judge and predict the trend of the game. However, basketball game changes rapidly. Especially for such popular teams, the performance of the superstars largely determines whether the game can be won or not. This article presents some simpler and clearer aspects based on data visualization to analyze and predict the result. Finally, after analyzing the strength of the overall teams and the superstars, I draw a conclusion that Nets have a relatively large win rate.

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