Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
159
result(s) for
"Basketball Offense."
Sort by:
A Method for Using Player Tracking Data in Basketball to Learn Player Skills and Predict Team Performance
Player tracking data represents a revolutionary new data source for basketball analysis, in which essentially every aspect of a player's performance is tracked and can be analyzed numerically. We suggest a way by which this data set, when coupled with a network-style model of the offense that relates players' skills to the team's success at running different plays, can be used to automatically learn players' skills and predict the performance of untested 5-man lineups in a way that accounts for the interaction between players' respective skill sets. After developing a general analysis procedure, we present as an example a specific implementation of our method using a simplified network model. While player tracking data is not yet available in the public domain, we evaluate our model using simulated data and show that player skills can be accurately inferred by a simple statistical inference scheme. Finally, we use the model to analyze games from the 2011 playoff series between the Memphis Grizzlies and the Oklahoma City Thunder and we show that, even with a very limited data set, the model can consistently describe a player's interactions with a given lineup based only on his performance with a different lineup.
Journal Article
Effectiveness of ball handler's offensive movements in ball screen offense in European elite basketball teams
Ball screen is an offensive movement with quite high frequency of occurrence in elite basketball games. The aim of the present study was to clarify tasks performed and their predictors of success or failure related to offensive movements by a ball handler, differences of offensive moves between groups, differences of offensive moves among seven countries. The sample was composed of 2069 ball screens from the Basketball Champions League (2016-2017). Evaluating the teams according to their final ranking, it was found that in the teams of the positions 1-4 the ball handler used a short shot, in the teams 5-8 choose lay-up, while in teams 9-12 used step jump shot and in the teams of the positions 13-16 the greater success observed in case of crossover lay-up. Correspondence analysis revealed that the ball handler in teams of Germany, Turkey, Italy, Lithuania and France uses lay-up and step jump shot with a greater success. Greece and Spain are not clustered together with the other countries. The first uses crossover lay-up and step back in its offenses, whereas the second prefers the short shots. Our findings highlight the philosophy in the way of playing of different countries, and simultaneously the way of unfolding the offense.
Journal Article
