NPIPVis: A Visualization System Involving NBA Visual Analysis and Integrated Learning Model Prediction

With traditional statistical method such as point, rebound and assist, the self-worth of basketball player cannot be truly reflected in the original evaluation system. In this paper, combined with the structure characteristics of network topology established by passing path, passing quality and technical statistics, a novel visual evaluation model is proposed to redefine the indicator system of player performance and analyze the player’s tactical role in the team. A visual analytics system called PlayerNetVis is developed to analyze the real position and role of single player in team tactics, focus on the key moments of the whole game, compare and analyze the influence of players’ performance on game trend. Finally, the validity of the system in this paper is verified through the analysis of multiple set of cases.

Siyi Zhou

Papers

PlayerNetVis: A Visual Analytics System for Evaluating NBA Player Performance Based on Network Topology