Tennis Data Analysis

ATP & WTA Players Profiles

Comprehensive database of ATP and WTA players with detailed performance metrics and comparisons.

Matches Analysis

In-depth statistics covering serve performance, return stats, and game dominance ratios

Advanced Search

Customize datasets with advanced sorting, filtering, and surface-specific breakdowns

Pressure Points

Analyze clutch performance and key moments with our advanced metrics system

ATP Tour Stats

Dive into comprehensive performance metrics, serve efficiency, return stats, and pressure point analysis of ATP players.

Enter ATP Analysis

WTA Tour Stats

Explore detailed statistical breakdowns, key performance indicators, and pressure situations data of WTA players.

Enter WTA Analysis
Enter player name or browse rankings below
ATP Rankings
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Enter player name or browse rankings below
WTA Rankings
Click player for stats
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About TennisRatio

Tennis data analysis

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.

Pressure Points

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.

Technologies used

Python 3


Django

PostgreSQL

JavaScript

CSS 3/HTML

Bootstrap 4