Modeling basketball play-by-play data

作者：

Highlights：

• A method for modeling basketball play-by-play data is proposed.

• The model facilitates simulations of a basketball game between two distinct teams.

• We improve on the state-of-the-art in both forecasting accuracy and plausibility.

• Modeling the non-homogeneous parts of game improves the quality of the simulations.

摘要

•A method for modeling basketball play-by-play data is proposed.•The model facilitates simulations of a basketball game between two distinct teams.•We improve on the state-of-the-art in both forecasting accuracy and plausibility.•Modeling the non-homogeneous parts of game improves the quality of the simulations.

论文关键词：Forecasting,NBA,Logistic regression,Decision tree,Markov process

论文评审过程：Received 30 May 2014, Revised 3 September 2015, Accepted 3 September 2015, Available online 10 September 2015, Version of Record 10 November 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.09.004