{"id":23454,"date":"2019-10-20T08:00:01","date_gmt":"2019-10-20T15:00:01","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=23454"},"modified":"2019-10-18T10:15:45","modified_gmt":"2019-10-18T17:15:45","slug":"sap-and-wta-launch-new-patterns-of-play-feature-for-sap-tennis-analytics-for-coaches","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2019\/10\/20\/sap-and-wta-launch-new-patterns-of-play-feature-for-sap-tennis-analytics-for-coaches\/","title":{"rendered":"SAP and WTA Launch New Patterns of Play Feature for SAP\u00ae Tennis Analytics for Coaches"},"content":{"rendered":"\n
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SAP SE<\/a> (NYSE: SAP) and the Women\u2019s Tennis Association<\/a> (WTA) announced \u201cpatterns of play,\u201d a new feature in SAP\u00ae Tennis Analytics software for coaches, which for the first time will allow WTA coaches and players to identify and analyze patterns that unfold during match rallies. Through the patterns of play feature, WTA coaches and players can go beyond single point analysis and can access, customize and compare data and insights following a match to strategize and gain a competitive advantage against their next opponent. <\/p>\n\n\n\n

The patterns of play feature addresses a key need for coaches looking for data-based insights into how a rally unfolds and how their players, and opponents, react to match situations. It also enables coaches to personalize insights for their player\u2019s next match by going deeper into the data and applying various filters and customization, spanning opponents, opponent\u2019s rank, playing hand and playing surface. <\/p>\n\n\n\n

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