The amount of data available nowadays in the sports field is hard to comprehend using classic analytic methods. This calls for the development of systems such as the prototype discussed here, which makes it possible to manipulate chunks of data to then portray them in visual ways, easing their understanding. Based on basketball, this tool helps users in reaching conclusions regarding performances during individual matches. This enables them to gather knowledge about play sequences, the events occurring at different moments, and the style of play teams employ based on player chemistry. Using multiple visualizations in an integrated system, data can be manipulated to vary how they are shown and change their analytic power as needed. With interaction and sim- ple comprehension based on visualization being the two cornerstones, the challenge was to provide a tool able to showcase patterns and study actions in an innovative and combined way not yet exploited.
In order to cite BKViz
Antonio G. Losada, Roberto Theron, Alejandro Benito, "BKViz: A Basketball Visual Analysis Tool", IEEE Computer Graphics and Applications, vol. 36, no. 6, pp. 58-68, Nov.-Dec. 2016, doi:10.1109/MCG.2016.124
