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Prediction of the margin of victory only from team rankings for regular season games in NCAA men's basketball

机译:仅通过常规队伍排名来预测胜利率   NCaa男子篮球赛季

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摘要

The main objective of this paper is to investigate the extent to which themargin of victory can be predicted solely by the rankings of the opposing teamsin NCAA Division I men's basketball games. Several past studies have modeledthis relationship for the games played during the March Madness tournament, andthis work aims at verifying if the models advocated in these papers stillperform well for regular season games. Indeed, most previous articles haveshown that a simple quadratic regression model provides fairly accuratepredictions of the margin of victory when team rankings only range from 1 to16. Does that still hold true when team rankings can go as high as 351? Do themodel assumptions hold? Can we find semi- or non-parametric methods that yieldeven better results (i.e. predicted margins of victory that more closelyresemble actual results)? The analyses presented in this paper suggest that theanswer is "yes" on all three counts!
机译:本文的主要目的是研究仅通过NCAA第一类男子篮球比赛中的对手球队的排名即可预测胜利的幅度。过去的一些研究已经为三月疯狂锦标赛期间的比赛建立了这种关系模型,并且这项工作旨在验证这些论文中倡导的模型在常规赛中是否仍然表现良好。确实,大多数先前的文章已经表明,当团队排名仅从1到16时,简单的二次回归模型就可以相当准确地预测获胜的幅度。当团队排名最高达到351时,这是否仍然成立?模型假设成立吗?我们是否可以找到产生甚至更好结果的半参数或非参数方法(即预测的胜率更接近于实际结果)?本文提出的分析表明,在所有三个方面答案都是“是”!

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