{"id":5806,"date":"2025-11-12T10:27:22","date_gmt":"2025-11-12T15:27:22","guid":{"rendered":"https:\/\/glennpaulley.ca\/curling\/?p=5806"},"modified":"2025-11-12T10:38:12","modified_gmt":"2025-11-12T15:38:12","slug":"data-scientists-begin-to-look-at-curling","status":"publish","type":"post","link":"https:\/\/glennpaulley.ca\/curling\/2025\/11\/12\/data-scientists-begin-to-look-at-curling\/","title":{"rendered":"Data scientists begin to look at curling"},"content":{"rendered":"\t\t
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In recent years we have witnessed the application of both computer video analysis coupled with powerful analytics engines to provide insight into strategy and tactics in a variety of sports. As examples, five sports that have seen a lot of analytics applied to them are football (soccer), NFL football, basketball, baseball, and ice hockey. It is no surprise that these sports are in leadership positions since they are large enough to afford the data science expertise and computer technology to analyze the massive amounts of data that are captured during a game.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Ice hockey lagged the other major sports in analytics. However, most, if not all, NHL teams now have data scientists on their staffs, and NHL teams use a variety of tools (such as NHL Edge<\/a>) and software providers to provide insights into shooting, passing, goaltending<\/a>, puck possession, power play, and defence strategies<\/a>. Academic researchers have also been part of the mix: as an example, my friend Tim Brecht<\/a>, recently retired professor of Computer Science at the University of Waterloo, has published<\/a> a number of papers in the last few years on the analytics of puck possession in ice hockey.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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In curling, to my knowledge most of the analytics applied to the sport has been fairly rudimentary: winning\/losing percentages and analysis of scoring (hammer efficiency, steal defence, and the like). In the past year, improvements to Curling I\/O’s software that provides summaries of game statistics for Curling Canada and the other member associations across the country make the computation of scoring analytics considerably easier than in the past (more on this in a subsequent post).\u00a0<\/p>

Recently Tim alerted me to what I believe is one of the first academic conferences devoted to the analysis of shot-making in curling, with the subject being the use of the power play in mixed doubles. The 2026 Connecticut Sports Analytics Symposium (CSAS) announced their data challenge<\/a> for their upcoming conference in April: Power play optimization in mixed doubles – when to use it, how to execute it, and how to defend against it.<\/strong> Shot-position data from international competition results is provided by CURLIT<\/a> (Curling Information Technology, Ltd). The challenge is open only to students, with the winners being invited to showcase their results to the USA Olympic Committee sometime in 2026.\u00a0<\/p>

My thanks to Tim for sending this my way.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

In recent years we have witnessed the application of both computer video analysis coupled with powerful analytics engines to provide […]<\/p>\n","protected":false},"author":1,"featured_media":5808,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_mo_disable_npp":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ngg_post_thumbnail":0,"footnotes":""},"categories":[536],"tags":[541,537,539,538,540,458,143],"class_list":["post-5806","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analytics","tag-analytics","tag-csas","tag-curlit","tag-data-challenge","tag-data-science","tag-mixed-doubles","tag-strategy-2"],"yoast_head":"\nData scientists begin to look at curling - 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