A new approach to performance analysis in team sports consists in study- ing movements and trajectories of players during the game. State of the art tracking systems produce spatio-temporal traces of players that have fa- cilitated a variety of research aimed to to extract insight from trajectories. Several methods borrowed from machine learning, network and complex sys- tems, geographic information system, computer vision and statistics have been proposed. However, the use of an effective and easy-to-use visual tool in support to these methods is of major importance. To this scope this pa- per suggests the use of motion charts, built by means of the open-source gvisMotionChart function in googleVis package in R, a user-friendly pro- cedure that also allows to easily import data. A basketball case study is presented. Data refers to a match played by an italian team militant in C-gold league on March 22nd, 2016. Analyses show that motion charts give insights on different spacing structures among offensive and defensive actions, corroborating evidences from other supporting analyses.

(2017). Spatio-Temporal Movements in Team Sports: A Visualization approach using Motion Charts [journal article - articolo]. In ELECTRONIC JOURNAL OF APPLIED STATISTICAL ANALYSIS: DECISION SUPPORT SYSTEMS AND SERVICES EVALUATION. Retrieved from http://hdl.handle.net/10446/228028

Spatio-Temporal Movements in Team Sports: A Visualization approach using Motion Charts

Metulini, Rodolfo
2017

Abstract

A new approach to performance analysis in team sports consists in study- ing movements and trajectories of players during the game. State of the art tracking systems produce spatio-temporal traces of players that have fa- cilitated a variety of research aimed to to extract insight from trajectories. Several methods borrowed from machine learning, network and complex sys- tems, geographic information system, computer vision and statistics have been proposed. However, the use of an effective and easy-to-use visual tool in support to these methods is of major importance. To this scope this pa- per suggests the use of motion charts, built by means of the open-source gvisMotionChart function in googleVis package in R, a user-friendly pro- cedure that also allows to easily import data. A basketball case study is presented. Data refers to a match played by an italian team militant in C-gold league on March 22nd, 2016. Analyses show that motion charts give insights on different spacing structures among offensive and defensive actions, corroborating evidences from other supporting analyses.
articolo
Metulini, Rodolfo
(2017). Spatio-Temporal Movements in Team Sports: A Visualization approach using Motion Charts [journal article - articolo]. In ELECTRONIC JOURNAL OF APPLIED STATISTICAL ANALYSIS: DECISION SUPPORT SYSTEMS AND SERVICES EVALUATION. Retrieved from http://hdl.handle.net/10446/228028
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/228028
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