Data visualization based on match statistics of players from TOP 150 of both WTP and ATP competitions. The main view for both fields presents the tabular summary of players performance during the past 52 weeks. Except for the basic serve and return stats, it contains two own analysis - ratios calculated based on the game dominance, and the summary of performance regarding pre-match odds scenarios. You can choose the table dataset, sort it by any particular column or search the row with any ranked player.
Every player has own dedicated profile page with a dashboard visualizing the data in the form of graphic charts. The data can be visualized based on all the player's matches, or just on the selected surface, same as the table presenting every match competed by the player in the last 52 weeks. Each dashboard contains the Pressure Points panel with same filtering and compare options, as general stats.
Attribution for the owners of images which decorate backgrounds of TennisRatio page sites:
Image by serhii_bobyk on Freepik
Image by Thomas F. Starke on gettyimages.com
Image by Thearon W. Henderson on gettyimages.com
Image by Justin Kendra on depositphotos.com
Image by Bruno Weltmann on dreamstime.com
Image by Karisa Studdard on pixxy.org
TennisRatio app aims to visualize the statistics, which describes performance of the best tennis players from the both WTA and ATP fields. The analysis allow to look at the whole field and see who performs the best in the areas of serve, return, who dominates their opponents the most during the matches, and who translates the game into the results efficiently.
Most attention has been paid for the player's profile dashboard, which visualizes the individual strengths and weaknesses graphically. The powerful graphics show the player's perfromance on particular surface visually and allow to compare it with any chosen opponent.
Alongside the analysis of basic data and own calculated ratios, TennisRatio stands out with presenting the Pressure Points statistics - which describes the performance within the edge scoreline in the games. More explations about idea of Pressure Points are able to read in the article.
Each player's dashboard contains the detailed information about the frequency of Pressure Points and efficiency of winning it during own service and return games. The graphic charts present how the player perform in each of Pressure Points scenario, sames as the tables containing the Pressure Points stats from every match played during the analyzed period.
Python 3
Django
PostgreSQL
JavaScript
CSS 3/HTML
Bootstrap 4