{"id":2118,"date":"2023-06-15T19:45:04","date_gmt":"2023-06-15T17:45:04","guid":{"rendered":"https:\/\/bodai.unibs.it\/bdsports\/?page_id=2118"},"modified":"2026-09-03T16:49:26","modified_gmt":"2026-09-03T14:49:26","slug":"bds2","status":"publish","type":"page","link":"https:\/\/bodai.unibs.it\/bdsports\/bds2\/","title":{"rendered":"Advanced Basketball Data Science"},"content":{"rendered":"<h1>Advanced Basketball Data Science<\/h1>\n<table style=\"width: 100%\">\n<tbody>\n<tr>\n<td style=\"width: 36.3392%\"><a href=\"https:\/\/www.routledge.com\/Advanced-Basketball-Data-Science-With-Applications-in-R\/Zuccolotto-Manisera-Sandri\/p\/book\/9781032502212\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-1798 alignright\" src=\"https:\/\/bodai.unibs.it\/bdsports\/wp-content\/uploads\/sites\/2\/2026\/03\/Brochure-Advanced-Basketball-Data-Science-scaled.jpg\" alt=\"\" width=\"322\" height=\"486\" \/><\/a><\/td>\n<td style=\"width: 62.5841%\">\n<h4>Codes, data and functions<\/h4>\n<p>Codes, data and functions for reproducing the case studies presented throughout the book.<\/p>\n<p><a class=\"button w-button w--current\" href=\"https:\/\/bodai.unibs.it\/bdsports\/not-available\/\">Codes (pdf format)<\/a><\/p>\n<p><a class=\"button w-button w--current\" href=\"https:\/\/bodai.unibs.it\/bdsports\/not-available\/\">Codes (R format)<\/a><\/p>\n<p><a class=\"button w-button w--current\" href=\"https:\/\/bodai.unibs.it\/bdsports\/not-available\/\">Data<\/a><\/p>\n<p><a class=\"button w-button w--current\" href=\"https:\/\/bodai.unibs.it\/bdsports\/not-available\/\">Functions<\/a><\/p>\n<p>Code tested on both Windows and macOS, using R version 4.5.2 and RStudio version 2025.09.2+418, and on Ubuntu Linux 25.10 (64-bit, kernel 6.17) using R version 4.5.1 and RStudio version 2025.09.2+418.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<hr \/>\n<div>\n<h4 class=\"LC20lb MBeuO DKV0Md\">Table of Contents<\/h4>\n<p><b><span lang=\"EN-GB\">1<\/span><\/b><span lang=\"EN-GB\"> Getting Started: Overview and Supporting Materials<\/span><\/p>\n<\/div>\n<div>\n<p><b><span lang=\"EN-GB\">I &#8211; Analyzing and comparing game splits<br \/>\n<\/span><\/b><b><span lang=\"EN-GB\">2<\/span><\/b><span lang=\"EN-GB\"> Beyond individual skills<br \/>\n<b>3<\/b> Drilling down on clutch splits: measuring performance<br \/>\nwhen it matters most<br \/>\n<b>4<\/b> The race to the finish: exploring the relationship between season<br \/>\nsegments and final rankings<\/span><\/p>\n<\/div>\n<div>\n<p><b><span lang=\"EN-GB\">II &#8211; Decoding motion<br \/>\n<\/span><\/b><b><span lang=\"EN-GB\">5<\/span><\/b><span lang=\"EN-GB\"> Understanding players\u2019 spatial dynamics<br \/>\n<b>6<\/b> Athletic motion kinematics analysis<br \/>\n<b>7<\/b> Tracking and analyzing ball trajectories<\/span><\/p>\n<\/div>\n<div>\n<p><b><span lang=\"EN-GB\">III &#8211; Spatial performance analysis<br \/>\n<\/span><\/b><b><span lang=\"EN-GB\">8<\/span><\/b><span lang=\"EN-GB\"> Basketball performance maps based on court segmentation<br \/>\n<b>9<\/b> Scoring probability maps via machine learning algorithms<\/span><\/p>\n<\/div>\n<p><a class=\"button w-button w--current\" href=\"https:\/\/api.taylorfrancis.com\/content\/books\/mono\/download?identifierName=doi&amp;identifierValue=10.1201\/9781003397441&amp;type=googlepdf\">Official preview of the book<\/a><\/p>\n<p><a class=\"button w-button w--current\" href=\"https:\/\/www.routledge.com\/Advanced-Basketball-Data-Science-With-Applications-in-R\/Zuccolotto-Manisera-Sandri\/p\/book\/9781032502212\">Official Routledge page<\/a><\/p>\n<div>\n<hr \/>\n<\/div>\n<h4 class=\"LC20lb MBeuO DKV0Md\">Animated GIFs produced in the book<\/h4>\n<h5><a href=\"https:\/\/bodai.unibs.it\/bdsports\/bds2\/gif1\/\"><span dir=\"ltr\" role=\"presentation\">4.2<\/span> <span dir=\"ltr\" role=\"presentation\">Teams\u2019 evolving performance from start to finish<\/span><\/a><\/h5>\n<h5><a href=\"https:\/\/bodai.unibs.it\/bdsports\/bds2\/gif2\/\"><span dir=\"ltr\" role=\"presentation\">5.1<\/span>\u00a0<span dir=\"ltr\" role=\"presentation\">Animated plots of the players\u2019 movements on the court<\/span><\/a><\/h5>\n<h5><a href=\"https:\/\/bodai.unibs.it\/bdsports\/bds2\/gif3\/\"><span dir=\"ltr\" role=\"presentation\">5.2<\/span>\u00a0<span dir=\"ltr\" role=\"presentation\">Gravity and Distraction<\/span><\/a><\/h5>\n<h5><a href=\"https:\/\/bodai.unibs.it\/bdsports\/bds2\/gif4\/\"><span dir=\"ltr\" role=\"presentation\">6.4.1<\/span> <span dir=\"ltr\" role=\"presentation\">Animated pose detection<\/span><\/a><\/h5>\n<h5><a href=\"https:\/\/bodai.unibs.it\/bdsports\/bds2\/gif5\/\"><span dir=\"ltr\" role=\"presentation\">6.5.1<\/span> <span dir=\"ltr\" role=\"presentation\">Crossover<\/span><\/a><\/h5>\n<h5><a href=\"https:\/\/bodai.unibs.it\/bdsports\/bds2\/gif6\/\"><span dir=\"ltr\" role=\"presentation\">6.5.2<\/span> <span dir=\"ltr\" role=\"presentation\">Shot<\/span><\/a><\/h5>\n<h5><a href=\"https:\/\/bodai.unibs.it\/bdsports\/bds2\/gif7\/\"><span dir=\"ltr\" role=\"presentation\">7.1.2<\/span> <span dir=\"ltr\" role=\"presentation\">Ball detection in a video<\/span><\/a><\/h5>\n<hr \/>\n<h4 class=\"LC20lb MBeuO DKV0Md\">Book presentation tour schedule<\/h4>\n<p><strong>Athens, Greece<\/strong> (5 May, 2026 4:30 p.m. &#8211; Athens University of Economics and Business)<br \/>\nEvent scheduled at the <a href=\"https:\/\/aueb-analytics.wixsite.com\/saw2026\">AUEB Sport Analytics Workshop,<\/a> organised by Ioannis Ntzoufras and Dimitris Karlis<\/p>\n<p><strong>Madrid, Spain<\/strong> (8 September, 2026 5:00 p.m. &#8211; Sal\u00f3n de Actos, Quintana Aulario \u2013 <a href=\"https:\/\/eventos.urjc.es\/157815\/\">Laboratorio de Ciencia de Datos<\/a>)<br \/>\norganised by Isaac Mart\u00edn de Diego and Emilio L\u00f3pez Cano (Rey Juan Carlos University)<\/p>\n<p><strong>Barcelona, Spain<\/strong> (9 September, 2026 5:00 p.m. &#8211; Sala Assumpci\u00f3, Gran Via de les Corts Catalanes, 585 \u2013 Universitat de Barcelona &amp; <a href=\"https:\/\/www.basquetcatala.cat\/noticies\/12145\">Federaci\u00f3 Catalana de Basquetbol<\/a>)<br \/>\nOrganised by Daniel Fern\u00e1ndez Mart\u00ednez, Jordi Cort\u00e9s and Mart\u00ed Casals (Universitat Polit\u00e8cnica de Catalunya)<\/p>\n<p><strong>Valencia, Spain<\/strong> (24 September, 2026 1:00 p.m. &#8211; Universitat de Val\u00e8ncia)<br \/>\nOrganised by Gabriel Calvo Bayarri \u00a0(Universitat de Val\u00e8ncia)<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Advanced Basketball Data Science Codes, data and functions Codes, data and functions for reproducing the case studies presented throughout the book. Codes (pdf format) Codes (R format) Data Functions Code tested on both Windows and macOS, using R version 4.5.2 and RStudio version 2025.09.2+418, and on Ubuntu Linux 25.10 (64-bit, kernel 6.17) using R version [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-2118","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/bodai.unibs.it\/bdsports\/wp-json\/wp\/v2\/pages\/2118","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bodai.unibs.it\/bdsports\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bodai.unibs.it\/bdsports\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bodai.unibs.it\/bdsports\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/bodai.unibs.it\/bdsports\/wp-json\/wp\/v2\/comments?post=2118"}],"version-history":[{"count":99,"href":"https:\/\/bodai.unibs.it\/bdsports\/wp-json\/wp\/v2\/pages\/2118\/revisions"}],"predecessor-version":[{"id":2822,"href":"https:\/\/bodai.unibs.it\/bdsports\/wp-json\/wp\/v2\/pages\/2118\/revisions\/2822"}],"wp:attachment":[{"href":"https:\/\/bodai.unibs.it\/bdsports\/wp-json\/wp\/v2\/media?parent=2118"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}