Abstract
Psychological factors like anxiety could be one of the defining factors in impacting the performance of a sports person. Trying to understand how the person responds to various situations in the game would provide valuable information to the opponent. Opponent can play by the tactics to put the first player under pressure. In order to study this psychological advantage, a Tennis game has been chosen and some defining factors have been considered. Sports Performance Anxiety Analysis is done by the calculation of important factors throughout the course of the match. This calculation contributes to the success or failure of a player in the context of winning the game, set or a match. Factors are uncertainty, anticipation and threat [1]. Based on these factors the composite anxiety is calculated which in-turn gives the chance of winning or losing a match for the player. Once the anxiety levels are calculated, visualizations are drawn for these factors versus the player respectively. Hence, we can see various stages of the match where the competitor or the opponent is in lead and their critical situation can be analyzed. Psychological theories show that these visualizations help in analyzing the match scenarios such that the viewers can understand the position and the psychological state of the individual at a point. To scrape the data and illustrate the visualizations that improve to understand the current state of an instance during a tennis match various tools, libraries, and modules have been used in Python.