{"id":35,"date":"2014-12-06T09:42:45","date_gmt":"2014-12-06T14:42:45","guid":{"rendered":"http:\/\/preview.iptc.org\/?page_id=35"},"modified":"2025-10-03T07:10:19","modified_gmt":"2025-10-03T06:10:19","slug":"sportsml-g2","status":"publish","type":"page","link":"https:\/\/iptc.org\/standards\/sportsml-g2\/","title":{"rendered":"SportsML"},"content":{"rendered":"<h1>SportsML<\/h1>\n<h2>The open standard for sports data<\/h2>\n<p>SportsML is an open, flexible standard for the interchange of sports data.<\/p>\n<p>It is suitable for representing results in all sports from <a href=\"https:\/\/en.wikipedia.org\/wiki\/Sport_of_athletics\">Athletics<\/a> to <a href=\"https:\/\/en.wikipedia.org\/wiki\/Drunken_boxing\">Zui Quan<\/a> and is used by <strong>major news organisations<\/strong> to cover Olympics, World Cup and regional championships, as well as domestic and local competitions.<\/p>\n<p>Companies using SportsML include:<\/p>\n<ul>\n<li><a href=\"https:\/\/www.bbc.com\/sport\"><strong>BBC<\/strong><\/a><\/li>\n<li>The Associated Press<\/li>\n<li>PA Media<\/li>\n<li><a href=\"https:\/\/www.tudn.com\/futbol\/liga-mx\"><strong>Univision<\/strong><\/a><\/li>\n<li><strong><a href=\"https:\/\/iptc.org\/standards\/sportsml-g2\/whos-using-sportsml\/\">Many more<\/a><\/strong><\/li>\n<\/ul>\n<p>The SportsML model is simple, intuitive and uniform. It represents the intuitive hierarchy of sport in common language. For example:<\/p>\n<p><code><strong>tournament\/tournament-part\/sports-event\/team\/player\/player-stat<\/strong><\/code><\/p>\n<p>Names (such as team and player) are uniform across the specification and the standard genres of sport news reports (schedule, statistical table, event report) are included in the model.<\/p>\n<p>Here are some samples:<\/p>\n<ul>\n<li><a href=\"https:\/\/www.iptc.org\/std\/SportsML\/3.1\/examples\/olympic-athletics-100m.xml\"><strong>100m Finals, 2016 Olympics<\/strong><\/a><\/li>\n<li><a href=\"https:\/\/www.iptc.org\/std\/SportsML\/3.1\/examples\/biathlon_mixedrelay_g2.xml\"><strong>Biathlon<\/strong><\/a><\/li>\n<li><a><strong>FIFA World Cup tournament structure<\/strong><\/a><\/li>\n<li><a href=\"https:\/\/www.iptc.org\/std\/SportsML\/3.1\/examples\/baseball-match-g2-specific.xml\"><strong>Baseball Event Report<\/strong><\/a><\/li>\n<li><a><strong>Ice Hockey Statistics<\/strong><\/a><\/li>\n<li><a><strong>Rugby Table\/Standings<\/strong><\/a><\/li>\n<li><a href=\"https:\/\/www.iptc.org\/std\/SportsML\/3.1\/examples\/tennis_davis_cup_tournament.xml\"><strong>Tennis: Davis Cup<\/strong><\/a><\/li>\n<li><a href=\"https:\/\/www.iptc.org\/std\/SportsML\/3.1\/examples\/\"><strong>More Samples<\/strong><\/a><\/li>\n<\/ul>\n<h2>Reasons to use SportsML<\/h2>\n<ul>\n<li>Avoid vendor lock-in by using an open, universal standard<\/li>\n<li>Users can contribute to the specification via the <a href=\"https:\/\/groups.io\/g\/iptc-sportsml\/\">SportsML public mailing list<\/a><\/li>\n<li>Simple, intuitive and consistent model that is easy to adopt<\/li>\n<li>Represents standard report types: scores, lineups, schedules, standings, statistics, etc.<\/li>\n<\/ul>\n<h2>Key features<\/h2>\n<ul>\n<li><strong>Generic statistical structure:<\/strong> SportsML allows for the an open-ended generic representation of statistics using vocabularies from any source (and includes the ability to reference and mix vocabularies)<\/li>\n<li><strong>Semantic tech capabilities: <\/strong>114 sports controlled vocabularies for everything from event-status (pre-event, mid-event, suspended, halted, etc.) to statistical concepts for 11 major sports, with more to come. The vocabularies come in the form of <a href=\"http:\/\/dev.iptc.org\/NewsCodes-G2-Knowledge-Items-by-IPTC\">NewsML-G2 Knowledge Items<\/a>.<\/li>\n<li><strong>Flexible tournament formation:<\/strong> Tournaments can be difficult to model and SportsML has a generic <code>tournament-part<\/code> element with a comprehensive typing vocabulary (e.g. round, stage, etc.)<\/li>\n<li><strong>Flexible Schema:<\/strong> SportsML features an easily extensible and customisable schema design<\/li>\n<li>Fully compatible with <a href=\"https:\/\/iptc.org\/standards\/newsml-g2\/\">NewsML-G2<\/a> structures such as names, locations and date formats.<\/li>\n<\/ul>\n<p>The SportsML 3.1 update was released in June 2019.<\/p>\n<p>SportsML 3 was released in July 2016. It is a comprehensive update to SportsML 2.2.<\/p>\n<p>Development of SportsML is open to collaboration. Your feedback on the <a href=\"https:\/\/groups.io\/g\/iptc-sportsml\/\" target=\"_new\" rel=\"noopener\">SportsML Users Forum<\/a> is welcome!<\/p>\n<h3><a href=\"\/standards\/sportsml-g2\/whos-using-sportsml\/\">Who is using SportsML<\/a><\/h3>\n<p>AP mobile (USA), APA (Austria), BBC (UK), ESPN (USA), NTB (Norway), PA (UK), Reuters News &amp; Media (Global), Univision (USA\/Mexico), XML Team Solutions (USA), Yahoo! Sports (USA)<\/p>\n<div class=\"sectionText\">\n<div class=\"sectionText\">\n<h3>Business Cases<\/h3>\n<ul>\n<li>Provide all data of events conducted by a sports federation.<\/li>\n<li>Aggregate data from different sources for specialised products.<\/li>\n<li>Can be used for fantasy sports or wagering systems.<\/li>\n<li>Create a specific variant of SportsML for regional or local types of sports.<\/li>\n<\/ul>\n<h2>Specification<\/h2>\n<p>SportsML 3.1:\u00a0 <a href=\"https:\/\/www.iptc.org\/std\/SportsML\/SportsML_3.1.zip\">download the ZIP Package of the latest revision<\/a> with:<\/p>\n<ul>\n<li>XML Schemas<\/li>\n<li>Documentation<\/li>\n<\/ul>\n<p>(Follow the <a href=\"https:\/\/github.com\/iptc\/sportsml-3\/tree\/master\" target=\"_blank\" rel=\"noopener noreferrer\">Revision History<\/a>)<\/p>\n<p>SportsML 3 makes use of more than 100 controlled vocabularies:\u00a0<a href=\"https:\/\/www.iptc.org\/std\/SportsML\/sports-cvs.zip\">download them in a ZIP package<\/a>.<\/p>\n<p>Find more specification documents in the <a href=\"http:\/\/dev.iptc.org\/SportsML\">SportsML section of the IPTC Developer Site<\/a>.<\/p>\n<h2>Documentation<\/h2>\n<ul>\n<li>SportsML-G2 3.1\u00a0<a href=\"https:\/\/www.iptc.org\/std\/SportsML\/3.1\/documentation\/sportsml.html\">XML Schema documentation<\/a><\/li>\n<li>SportsML 2.2 <strong>Classic <\/strong><a href=\"http:\/\/www.iptc.org\/std\/SportsML\/2.2\/documentation\/SportsML-Classic\/schHierarchy.html\">documentation pages<\/a> (schema hierarchy overview)<\/li>\n<li>SportsML-<strong>G2 2.2 <\/strong><a href=\"http:\/\/www.iptc.org\/std\/SportsML\/2.2\/documentation\/SportsML-G2\/schHierarchy.html\">documentation pages<\/a> (schema hierarchy overview)<\/li>\n<li><a href=\"https:\/\/iptc.org\/std\/SportsML\/guidelines\/\">SportsML Guidelines<\/a><\/li>\n<\/ul>\n<p>Users of SportsML 2.0 and higher can select to create and share standalone SportsML files, or they can include their SportsML as part of IPTC NewsML-G2 structures. Find more documentation in the <a href=\"http:\/\/dev.iptc.org\/SportsML\">SportsML section of the IPTC Developer Site<\/a>.<\/p>\n<h2>Support<\/h2>\n<p>The IPTC Developer Site provides <a href=\"http:\/\/dev.iptc.org\/SportsML\">technical information about SportsML-G2<\/a>.<\/p>\n<p>The <a href=\"http:\/\/groups.io\/g\/iptc-sportsml\" target=\"_new\" rel=\"noopener\">SportsML Users Forum<\/a> is used to share experiences, raise questions and recommend and discuss changes to the SportsML-G2 standard. It also connects companies and organisations who use SportsML-G2 and vendors who create tools that process NewsML-G2 documents.<\/p>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>SportsML The open standard for sports data SportsML is an open, flexible standard for the interchange of sports data. It is suitable for representing results in all sports from Athletics to Zui Quan and is used by major news organisations to cover Olympics, World Cup and regional championships, as well as domestic and local competitions. [&hellip;]<\/p>\n","protected":false},"author":276,"featured_media":0,"parent":20,"menu_order":700,"comment_status":"closed","ping_status":"closed","template":"template-two-col.php","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-35","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/iptc.org\/wp-json\/wp\/v2\/pages\/35","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/iptc.org\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/iptc.org\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/iptc.org\/wp-json\/wp\/v2\/users\/276"}],"replies":[{"embeddable":true,"href":"https:\/\/iptc.org\/wp-json\/wp\/v2\/comments?post=35"}],"version-history":[{"count":39,"href":"https:\/\/iptc.org\/wp-json\/wp\/v2\/pages\/35\/revisions"}],"predecessor-version":[{"id":8627,"href":"https:\/\/iptc.org\/wp-json\/wp\/v2\/pages\/35\/revisions\/8627"}],"up":[{"embeddable":true,"href":"https:\/\/iptc.org\/wp-json\/wp\/v2\/pages\/20"}],"wp:attachment":[{"href":"https:\/\/iptc.org\/wp-json\/wp\/v2\/media?parent=35"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}