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The Next Frontier in Tennis: There Are (Data) Points to Be Won Everywhere
Tennis Platform | Infosys
Tennis Analytics: Professionals Are Using Data to Boost Performance
Data Analysis on Tennis Player Performance
Rivard: Tennis analytics - Tennis Canada
How tennis joined the data revolution – Nest
SAP Tennis Analytics for Coaches - by SAP Design & Co-Innovation Center / Core77 Design Awards
Is big data serving the future of professional tennis? - ProCogia
Importance of data analytics for tennis players with Shane Liyanage [E – Functional Tennis
Tennis video analysis - a Primer - Analytics, Digital and Sports %
At the US Open, Data Analysts Are Just as Busy as the Players - The New York Times
drive: Actionable Insights from Visual Data
Shane Liyanage on LinkedIn: Thank you for the invite Fernando Segal to the World Tennis Conference…
Importance of Big Data in Tennis
Tennis – Towards Data Science
Country with the best tennis players in 2017 | Sarah Sotropa
Springboard Alum Uses Data Analytics to Quantify the Impact of the Serve in Professional Tennis
Growing importance of Data Science in the Sports World | by Kattilaxman | Jun, 2023 | Medium
Using Maps and Data Vis to Understand Tennis
Vanderbilt Athletics on Twitter: "Meet Célia-Belle Mohr, a @VanderbiltU sophomore balancing her passion for tennis with her pursuit of a bachelor's degree in economics and data science. #AnchorDown https://t.co/JhjK3TYbym" / Twitter
Tennis Analytics | Player Packages - Get 1, 5, or 10 Matches
Advantages of Tennis Analytics - How Tennis Players can Improve their Game with Analytics
Tennis Platform | Infosys
Wimbledon Leverages Data Science To Measure Thrill Of A Match
At the US Open, Data Analysts Are Just as Busy as the Players - The New York Times
Statistics and Data Science Meet on the Tennis Court with Swing - The Data Science Institute at Columbia University
The role of analytics in tennis is on a long, slow rise
TennisVisuals
GitHub - irohdw/ShinyTennis: This is a Data Science project that uses R to analyze tennis data over the past 50 years in order to find interesting corrolations in the data.