{"id":413517,"date":"2023-03-26T20:18:14","date_gmt":"2023-03-27T01:18:14","guid":{"rendered":"https:\/\/urbanmatter.com\/chicago\/?p=413517"},"modified":"2023-03-27T11:53:32","modified_gmt":"2023-03-27T16:53:32","slug":"march-madness-upsets-does-the-2023-bracket-follow-trends","status":"publish","type":"post","link":"https:\/\/urbanmatter.com\/chicago\/march-madness-upsets-does-the-2023-bracket-follow-trends\/","title":{"rendered":"March Madness Upsets: Does The 2023 Bracket Follow Trends?"},"content":{"rendered":"

Data and sports go hand-in-hand these days. Whether it\u2019s fans using advanced stats to argue over who the GOAT is, sportsbooks crunching numbers to set betting lines, or front offices analyzing years worth of film and stat sheets to determine who they\u2019ll end up drafting, data is everywhere. And it comes in all sorts of different formats.<\/span><\/p>\n

One major sports event that\u2019s no stranger to data is everyone\u2019s favorite early springtime tournament: March Madness. From basic team stats like average points-per game, to more complex things like <\/span>KenPom ratings<\/span><\/a>, the NCAA tournament has all metrics you could ever need.\u00a0<\/span><\/p>\n

Our friends over at OddsSeeker sat down to analyze the tournament this year, and more specifically, they looked at <\/span>the history of upsets<\/span><\/a> on college basketball\u2019s biggest stage. Here\u2019s what they found.<\/span><\/p>\n

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A post shared by NCAA March Madness (@marchmadnessmbb)<\/a><\/p>\n<\/div>\n<\/blockquote>\n