{"id":599,"date":"2025-07-31T16:04:27","date_gmt":"2025-07-31T20:04:27","guid":{"rendered":"https:\/\/www.clarku.edu\/data-science-program\/?p=599"},"modified":"2026-04-06T12:41:19","modified_gmt":"2026-04-06T16:41:19","slug":"predicting-march-madness-success-from-regular-season-statistics","status":"publish","type":"post","link":"https:\/\/www.clarku.edu\/data-science\/predicting-march-madness-success-from-regular-season-statistics\/","title":{"rendered":"Predicting March Madness success from regular season statistics"},"content":{"rendered":"\n<p class=\"has-small-font-size\">Daniel, a member of the Class of 2027 majoring in Geography, embarked on a project titled \u201cPredicting March Madness Success from Regular Season Statistics.\u201d His project focused on bracket prediction strategy, where he developed an ordinal regression model to forecast tournament success based on regular season statistics. Daniel\u2019s work aimed to enhance predictive accuracy and strategic decision-making in predicting outcomes during March Madness.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Daniel, a member of the Class of 2027 majoring in Geography, embarked on a project titled \u201cPredicting March Madness Success from Regular Season Statistics.\u201d His project focused on bracket prediction strategy, where he developed an ordinal regression model to forecast tournament success based on regular season statistics. Daniel\u2019s work aimed to enhance predictive accuracy and [&hellip;]<\/p>\n","protected":false},"author":15,"featured_media":782,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[26],"tags":[],"class_list":["post-599","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-student-projects"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.1 (Yoast SEO v28.2) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Predicting March Madness success from regular season statistics | Data Science | Clark University<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.clarku.edu\/data-science\/predicting-march-madness-success-from-regular-season-statistics\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Predicting March Madness success from regular season statistics\" \/>\n<meta property=\"og:description\" content=\"Daniel, a member of the Class of 2027 majoring in Geography, embarked on a project titled \u201cPredicting March Madness Success from Regular Season Statistics.\u201d His project focused on bracket prediction strategy, where he developed an ordinal regression model to forecast tournament success based on regular season statistics. 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\/>\n<meta name=\"twitter:site\" content=\"@clarkuniversity\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Jordan Aubin\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.clarku.edu\\\/data-science\\\/predicting-march-madness-success-from-regular-season-statistics\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.clarku.edu\\\/data-science\\\/predicting-march-madness-success-from-regular-season-statistics\\\/\"},\"headline\":\"Predicting March Madness success from regular season 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