{"title":"Predicting Which Teams Will Make the NBA Playoffs","authors":"Ryan Elmore","doi":"10.2139/ssrn.2764482","DOIUrl":null,"url":null,"abstract":"The National Basketball Association (NBA) is the premier men’s professional basketball league in the world. Thirty teams vie for the sixteen spots in order to compete for the Larry O’Brien NBA Finals Championship Trophy. In this paper, we introduce a logistic regression model that can be used to predict which teams will make the playoffs at any given point in the NBA season. In addition, we discuss potential applications of this ranking scheme that can be used by an NBA front office, as well as “arm-chair” GMs playing fantasy sports. More importantly, we move beyond the rankings that are commonly seen on the popular websites by providing a measure of uncertainty associated with our predictions. Finally, we introduce an Rpackage (ballr) that can be used to access data from basketball-reference.com.","PeriodicalId":308524,"journal":{"name":"ERN: Other Econometrics: Applied Econometric Modeling in Forecasting (Topic)","volume":"2016 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Other Econometrics: Applied Econometric Modeling in Forecasting (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.2764482","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The National Basketball Association (NBA) is the premier men’s professional basketball league in the world. Thirty teams vie for the sixteen spots in order to compete for the Larry O’Brien NBA Finals Championship Trophy. In this paper, we introduce a logistic regression model that can be used to predict which teams will make the playoffs at any given point in the NBA season. In addition, we discuss potential applications of this ranking scheme that can be used by an NBA front office, as well as “arm-chair” GMs playing fantasy sports. More importantly, we move beyond the rankings that are commonly seen on the popular websites by providing a measure of uncertainty associated with our predictions. Finally, we introduce an Rpackage (ballr) that can be used to access data from basketball-reference.com.
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