{"id":64224,"date":"2022-07-11T12:31:15","date_gmt":"2022-07-11T09:31:15","guid":{"rendered":"https:\/\/forklog.com\/en\/?p=64224"},"modified":"2025-09-06T13:14:22","modified_gmt":"2025-09-06T10:14:22","slug":"wimbledon-organisers-deploy-ai-to-analyse-matches","status":"publish","type":"post","link":"https:\/\/u1f987.com\/en\/wimbledon-organisers-deploy-ai-to-analyse-matches\/","title":{"rendered":"Wimbledon organisers deploy AI to analyse matches"},"content":{"rendered":"<p>The All England Lawn Tennis Club, in collaboration with IBM, has employed artificial intelligence to analyse players&#8217; performance and forecast match outcomes. <a href=\"https:\/\/thenextweb.com\/news\/inside-wimbledon-ibm-ai-engagement-tennis-fans\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">The Next Web<\/a>.<\/p>\n<p>To collect data on players, the company&#8217;s engineers installed a multitude of sensors on 18 Wimbledon courts. IBM also drew on historical data, automated match-tracking systems, and NLP analysis of media discussions.<\/p>\n<p>The collected data were transformed by the algorithms into digital features accessible in the Wimbledon app.<\/p>\n<p>They include the IBM Power Index, ranking players before and during the tournament. The forecasting model then determines their probability of winning each match.<\/p>\n<p>According to an IBM spokesperson, in the early days of the tournament the predictions reached 100% accuracy on Centre Court and Court One. However, on the outer courts, predicting the outcome of matches proved more difficult.<\/p>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>&#8220;When you go to some of the outer courts and to less well-known players, there is less data available, so making a correct forecast is harder,&#8221; said Kevin Farrar, head of IBM&#8217;s sports partnerships in the United Kingdom.<\/p>\n<\/blockquote>\n<p>IBM also used AI to create the Match Insights feature, which generates the tennis players&#8217; information bulletins, and the In the Media section with analyses of expert opinions.<\/p>\n<figure class=\"wp-block-image size-large is-style-default\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"768\" src=\"https:\/\/u1f987.com\/wp-content\/uploads\/20220705_114012-1536x1152-1-1024x768.jpg\" alt=\"\u041e\u0440\u0433\u0430\u043d\u0438\u0437\u0430\u0442\u043e\u0440\u044b \u0423\u0438\u043c\u0431\u043b\u0434\u043e\u043d\u0430 \u0437\u0430\u0434\u0435\u0439\u0441\u0442\u0432\u043e\u0432\u0430\u043b\u0438 \u0418\u0418 \u0434\u043b\u044f \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u043c\u0430\u0442\u0447\u0435\u0439\" class=\"wp-image-178568\" srcset=\"https:\/\/u1f987.com\/wp-content\/uploads\/20220705_114012-1536x1152-1-1024x768.jpg 1024w, https:\/\/u1f987.com\/wp-content\/uploads\/20220705_114012-1536x1152-1-300x225.jpg 300w, https:\/\/u1f987.com\/wp-content\/uploads\/20220705_114012-1536x1152-1-768x576.jpg 768w, https:\/\/u1f987.com\/wp-content\/uploads\/20220705_114012-1536x1152-1.jpg 1536w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><figcaption>IBM analysts review Match Insights data at Wimbledon Stadium. Data: TNW.<\/figcaption><\/figure>\n<p>Fans can submit their own forecasts, access personalised recommendations, and watch personalised highlight reels of the best moments.<\/p>\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>&#8220;All of this is designed to attract spectators so that Wimbledon can reach its goal of increasing attendance,&#8221; said Farrar.<\/p>\n<\/blockquote>\n<p>In July, FIFA said it would deploy an AI algorithm to determine offside positions at the upcoming FIFA World Cup in Qatar.<\/p>\n<p>In July 2021, AI named tennis the most &#8220;euphoric&#8221; sport.<\/p>\n<p>Subscribe to ForkLog news on Telegram: <a href=\"https:\/\/t.me\/forklogAI\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">ForkLog AI<\/a> \u2014 all the news from the world of AI!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The All England Lawn Tennis Club, in collaboration with IBM, employed AI to analyse players&#8217; performance and forecast match outcomes.<\/p>\n","protected":false},"author":1,"featured_media":26216,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"select":"1","news_style_id":"1","cryptorium_level":"","_short_excerpt_text":"","creation_source":"","_metatest_mainpost_news_update":false,"footnotes":""},"categories":[3],"tags":[438,828],"class_list":["post-64224","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-and-analysis","tag-artificial-intelligence","tag-sports"],"aioseo_notices":[],"amp_enabled":true,"views":"10","promo_type":"1","layout_type":"1","short_excerpt":"","is_update":"","_links":{"self":[{"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/posts\/64224","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/comments?post=64224"}],"version-history":[{"count":1,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/posts\/64224\/revisions"}],"predecessor-version":[{"id":64225,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/posts\/64224\/revisions\/64225"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/media\/26216"}],"wp:attachment":[{"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/media?parent=64224"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/categories?post=64224"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/u1f987.com\/en\/wp-json\/wp\/v2\/tags?post=64224"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}