Tennis coaches get on-court data insights from SAP

Tennis coaches can give players details on their performance during games through an SAP-based mobile app

Tennis coaches can now provide players with details on their performances during games through an SAP-based mobile app.

The Women’s Tennis Association (WTA) has worked with SAP to create an app that provides point-by-point data to coaches that can be analysed after a match.

The latest app means on-court coaching, which the WTA in 2008, will be backed up by real-time data. The 2015 season will be the time players and coaches will be allowed to access data analytics during a game. It was co-developed by SAP and the WTA with input from coaches.

Stacey Allaster, CEO at the WTA, said technology will play a major role in modernising the sport. 

“Tennis is a data-driven sport and information is power," she said. “Many our matches usually come down to just a few key points and any advantage that players and coaches can gain by analysing trends and data could deliver and edge in the match."

Key performance data, such as serve direction and shot placement, is fed to coaches in real-time to enable them to give players appropriate advice. 

“These statistics on the coaching app will make my job easier and advice more accurate during a match,” said WTA coach Wim Fissette,.

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Organisations in other sports such as sailing, golf, Formula 1, cricket, American football, baseball, basketball and football already work with SAP on data analytics.

SAP has also developed the official WTA Finals mobile app. This gives fans access to exclusive content, news, virtual replays, fan polls, statistics, player profiles and photos, along with ticketing and tournament information.

SAP also works with FC Bayern Munich through a sports analytics and enterprise software partnership. The two organisations work on software systems to support the football club’s sporting and commercial goals.

SAP also played its part in Germany football team’s victory in the World Cup final in Brazil this year through the use of enterprise software for big data analytics.


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