{"id":5522,"date":"2014-08-09T21:04:19","date_gmt":"2014-08-09T15:34:19","guid":{"rendered":"http:\/\/ivyproschool.com\/blog\/?p=5522"},"modified":"2024-11-15T14:54:42","modified_gmt":"2024-11-15T09:24:42","slug":"how-analytics-helped-germany-win-the-2014-fifa-world-cup","status":"publish","type":"post","link":"https:\/\/ivyproschool.com\/blog\/how-analytics-helped-germany-win-the-2014-fifa-world-cup\/","title":{"rendered":"How Analytics helped Germany win the 2014 FIFA World Cup!"},"content":{"rendered":"<p>Who says analytics is only\u00a0about facts, figures and insights? If you are smart enough, you can combine your career in analytics with unfulfilled aspirations and pleasure pursuits. In a nation gripped with a sports fever each time the World Cup happens, what other example could I give but analytics in sports?<\/p>\n<p>Take for instance the recent 2014 FIFA World Cup where -time analytics was applied to this high-kick game of passion and fervor.\u00a0 Are you aware that it was Big Data and Predictive Analytics that helped Germany score the World Cup?\u00a0 No, I am not talking through the hat \u2026 just read on.<\/p>\n<p>The football team of Germany is of course known for exceptional talent and great teamwork. But what you didn\u2019t know was that pitted against some of the best world teams the German Football Association was in no mood to take chances. So they teamed up with SAP <a href=\"http:\/\/www.saphana.com\/community\/blogs\/blog\/2014\/07\/15\/how-big-data-helped-germany-score-the-world-cup\">to make use of their SAP HANA technology based Sports Match Insights solutions<\/a> for football.<\/p>\n<p>\u201cSAP Match Insights helped the team analyse matches by processing vast amount of data to help players improve their performance. Video data was captured from 8 on-field cameras and crunched into thousands of data points per second.\u00a0 This enabled coaches to analyze performance metrics, such as player speed, position and possession time.\u00a0 Coaches could then provide feedback to players via mobile devices to help them improve their game.\u201d<\/p>\n<p>Some areas where the Match Insights tool empowered the win:<\/p>\n<p><strong>Speed<\/strong><\/p>\n<p>The customised match analysis tool collected and analysed massive amounts of player performance data. The focus was on speed. The team was able to analyse stats about average possession time and cut it down from 3.4 seconds to about 1.1 seconds, he said.<\/p>\n<p><strong>Positioning<\/strong><\/p>\n<p>The Match Insights tool reveals virtual \u201cdefensive shadows\u201d that help understand how much area a player can protect with his own body, or take advantage of the opponent\u2019s weak links.<\/p>\n<p><strong>Training<\/strong><\/p>\n<p>The Match Insights tool allowed the German coach to identify and visualise the game vis-\u00e0-vis performance of individual players, which was send to teammates\u2019 mobile devices. So if a coach wanted to adjust a particular player\u2019s speed, position or possession time, stats and video clip from that day\u2019s game would be sent to that player\u2019s cellphone to look at\u00a0 performance data.<\/p>\n<p><strong>Analysing competition<\/strong><\/p>\n<p>The tool enabled the German team to view and analyse the performance of its competition and make their moves accordingly. A lot of <a href=\"http:\/\/www.espnfc.com\/blog\/world-cup-central\/59\/post\/1938895\/german-legend-oliver-bierhoff-is-general-manager-for-the-german-side-in-the-world-cup-semifinal-versus-brazil\">qualitative data for the opposition was made available<\/a>. For instance, looking at the way Cristiano Ronaldo moves in the box,\u201d and before the game against France, analyzing how \u201cthe French were very concentrated in the middle but left spaces on the flanks because their full-backs didn&#8217;t push up properly.\u201d So the German team could target those areas.<\/p>\n<p><strong>Technological support<\/strong><\/p>\n<p>While <strong>an app<\/strong> developed in collaboration with SAP allowed the <strong>clipped analysis of live feeds to be sent to the player\u2019s cell phones<\/strong>, <strong>Big data on players<\/strong> was accessed by the team. The German team also spend time <a href=\"http:\/\/www.reuters.com\/article\/2014\/07\/07\/us-soccer-world-ger-scouting-idUSKBN0FC1I620140707\">reviewing\u00a0 an extensive dataset<\/a> that revealed how Brazil players reacted in pressure situations, their preferred routes and their response when fouled!<\/p>\n<p><strong>Video analytics<\/strong> and <strong>biometric data <\/strong>were leveraged using on-site digitization of the game. Three HD cameras were set-up in various locations at each arena that usedimage recognition to identify each of the 22 players, three referees, and the soccer ball. The system then tracked the XYZ coordinates of each of the above, to <a href=\"http:\/\/motherboard.vice.com\/read\/this-system-turns-the-beautiful-game-into-big-data\">relay the visualisation<\/a> \u201con a multi-screen, digital workstation where 74 people pour over the data on-site, aided by\u00a0another 20 back in\u00a0Italy\u201d. Written algorithms helped calculate passing stats, ball possession, and other statistics. Such tracking information when relayed to a terminal, enables an operator to validate each action.<\/p>\n<p><a href=\"https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2014\/08\/Football-analytics2.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-5523\" src=\"https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2014\/08\/Football-analytics2.png\" alt=\"Football analytics2\" width=\"363\" height=\"243\" srcset=\"https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2014\/08\/Football-analytics2.png 363w, https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2014\/08\/Football-analytics2-300x200.png 300w\" sizes=\"auto, (max-width: 363px) 100vw, 363px\" \/><\/a><\/p>\n<p>The SAP DataViz team \u201cpulled together game data from the qualifying stage and analysed the match-ups with SAP Lumira and SAP Predictive Analysis.\u201d<\/p>\n<p>Based purely on DATA <a href=\"http:\/\/scn.sap.com\/community\/lumira\/blog\/2014\/06\/28\/world-cup-analysis-and-predictions-with-sap-lumira\">such kinds of visualsiations, analysis, and infographics were presented<\/a> during each stage of the tournament.<\/p>\n<p>SAP \u201calso used its Lumira and Predictive Analysis solutions to analyse data from all the Fifa World Cup teams in a bid to predict which countries would advance in the tournament. The key statistics used included goals, time of possession, participation in World Cups, and world rankings. Each individual match-up was compared and analysed on a team-by-team basis.\u201d<\/p>\n<p>India has also released\u00a0the application, TCS SocialSoccer from Tata consultancy Services, that aggregates real-time analysis of all matches based on Twitter data, tracking sentiment and key talking points from commentators, footballers and fans from across the globe, and technology companies toying with the idea of introducing tracking devices in player shoes, we can hope to see some great real-time and spatial analytics in the arena of sports analytics!<\/p>\n<p>So as a football or even cricket enthusiast, you can actually channelise your sports passion into a proprietary analytics application!<\/p>\n<p>GOOOAAAALLLLL!!!!!<\/p>\n<p><a href=\"https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2014\/08\/Football-analytics.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-5524\" src=\"https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2014\/08\/Football-analytics.png\" alt=\"Football analytics\" width=\"304\" height=\"203\" srcset=\"https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2014\/08\/Football-analytics.png 304w, https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2014\/08\/Football-analytics-300x200.png 300w\" sizes=\"auto, (max-width: 304px) 100vw, 304px\" \/><\/a><\/p>\n<p style=\"text-align: center;\">\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0From <a href=\"http:\/\/www.economist.com\/node\/21603828\">The Economist\u2019s World Cup Goal profile<\/a> showing by minute, the time at which every goal from World Cup tournaments were scored.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Technology innovations and Predictive Analytics is surrounding every aspects of sports \u2013 from player performance monitoring and team management, to taking advantage of opponent tactics to improvise own strategies and footwork. Read on to know how Analytics empowered the team from Germany actually win the 2014 FIFA world cup!  <\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[456,22,454,453,455],"class_list":["post-5522","post","type-post","status-publish","format-standard","hentry","category-data-analytics","tag-2014-fifa-world-cup","tag-analytics","tag-football","tag-sapa-hana","tag-sports-analytics"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>How Analytics Powered Germany\u2019s 2014 World Cup Victory<\/title>\n<meta name=\"description\" content=\"Learn how Germany&#039;s World Cup win was driven by predictive analytics, real-time performance data, and strategic insights from SAP technologies.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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