Modeling Basketball’s Points per Possession With Application to Predicting the Outcome of College Basketball Games

نویسندگان

  • Ryan J. Parker
  • Amy N. Langville
  • Martin L. Jones
چکیده

In this paper we consider how to model basketball's points per possession data, and we show that the flexibility provided by a multinomial logistic regression is required for modeling this type of data. We show how to apply this model to ranking college basketball teams, and a method for estimating team win probabilities with this model is provided. We show how to use these win probabilities to fill out an NCAA tournament bracket, and we compare the results of filling out tournament brackets with the multinomial model to the results of a simpler model. We find neither model to be better than the other at predicting NCAA tournament games (in terms of statistical significance).

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تاریخ انتشار 2010