Tennis Analytics
Master Data-Driven Tennis Analysis
Tennis analytics covering serve analysis, rally patterns, and match strategy optimization
32
Tutorials0
Examples6
Datasets20
MetricsLearning Paths
Foundations
2 TopicsIntroduction to tennis analytics and data sources
Serve Analytics
4 TopicsAnalysis of serve performance and strategy
Surface Analysis
4 TopicsPerformance analytics across different court surfaces
Grand Slam Analytics
5 TopicsMajor tournament performance and patterns
Doubles Strategy
3 TopicsPartnership metrics and doubles-specific analytics
Match Strategy
4 TopicsTactical analysis and match preparation
Physical Performance
3 TopicsMovement, fatigue, and conditioning analytics
Career Analytics
3 TopicsLong-term performance trends and projections
Quick Start Guide
Learn Basics
Start with fundamental statisticsAdvanced Metrics
Explore sport-specific analyticsPractice with Data
Use real datasets and examplesApply Knowledge
Build your own analytics projectsRecent Tutorials
Key Tennis Metrics
Net Points Won Net%
Points won when approaching the net. Good volleyers are 65%+. Variables: Points won at net divided by net approaches
\text{Net\%} = \frac{\text{Points Won at Net}}{\text{Net Approaches}} \times 100
Dominance Ratio DR
Ratio of serve points won to serve points conceded. Above 1.0 is winning. Variables: SPW% = Service Points Won, RPW% = Return Points Won
\text{DR} = \frac{\text{SPW\%}}{100 - \text{RPW\%}}
Performance Index PI
Simple sum of serve and return winning percentages minus 100. Positive is winning. Variables: SPW% = Service Points Won %, RPW% = Return Points Won %
\text{PI} = \text{SPW\%} + \text{RPW\%} - 100
Total Points Won TPW%
Overall point-winning percentage. 52%+ usually wins the match. Variables: All points won divided by all points played
\text{TPW\%} = \frac{\text{Total Points Won}}{\text{Total Points Played}} \times 100
Forced Error Percentage FE%
Errors forced from opponent through pressure. Measures offensive pressure. Variables: Forced errors by opponent divided by total points
\text{FE\%} = \frac{\text{Opponent Forced Errors}}{\text{Total Points}} \times 100
Unforced Errors UE
Errors made without significant pressure. Lower is better. Variables: Errors not attributed to opponent pressure
\text{UE} = \text{Errors not forced by opponent}
Winner to Unforced Error Ratio W/UE
Ratio of winners to unforced errors. Above 1.0 is positive, 1.5+ is excellent. Variables: Winners divided by Unforced Errors
\text{W/UE} = \frac{\text{Winners}}{\text{Unforced Errors}}
Winners W
Outright winning shots the opponent cannot touch. Measures offensive firepower. Variables: Count of unreturnable shots (excluding aces)
\text{W} = \text{Shots opponent cannot reach}
Break Points Converted BP Conv%
Percentage of break points converted. 40%+ is excellent. Variables: Break points won divided by total break point opportunities
\text{BP Conv\%} = \frac{\text{Break Points Won}}{\text{Break Point Opportunities}} \times 100
First Serve Return Points Won 1st Ret%
Points won when facing first serve. Good returners are 30%+. Variables: Points won against opponent first serves divided by first serves faced
\text{1st Ret\%} = \frac{\text{Points Won vs 1st Serve}}{\text{1st Serves Faced}} \times 100
Datasets & Resources
Ready to Master Tennis Analytics?
Start with the basics and work your way up to advanced machine learning applications.