{"title":"大学橄榄球传播的聚类","authors":"Adam Schwartz, Bonnie F. Van Ness, R. Van Ness","doi":"10.2139/ssrn.1941008","DOIUrl":null,"url":null,"abstract":"This paper examines college football point spreads. We find that the betting spread is a good predictor of outcome for college football games during the regular season, but not for bowl games. Our sample of betting line spreads cluster around 3 points (field goal) and 7 points (touchdown/extra point). Also, the accuracy of the betting line spread improves when the spread clusters on a field goal or touchdown.","PeriodicalId":364403,"journal":{"name":"ERN: Sports Economics (Topic)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Clustering of College Football Spreads\",\"authors\":\"Adam Schwartz, Bonnie F. Van Ness, R. Van Ness\",\"doi\":\"10.2139/ssrn.1941008\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper examines college football point spreads. We find that the betting spread is a good predictor of outcome for college football games during the regular season, but not for bowl games. Our sample of betting line spreads cluster around 3 points (field goal) and 7 points (touchdown/extra point). Also, the accuracy of the betting line spread improves when the spread clusters on a field goal or touchdown.\",\"PeriodicalId\":364403,\"journal\":{\"name\":\"ERN: Sports Economics (Topic)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-10-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Sports Economics (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.1941008\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Sports Economics (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.1941008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper examines college football point spreads. We find that the betting spread is a good predictor of outcome for college football games during the regular season, but not for bowl games. Our sample of betting line spreads cluster around 3 points (field goal) and 7 points (touchdown/extra point). Also, the accuracy of the betting line spread improves when the spread clusters on a field goal or touchdown.