Titlebook: Computational Metrics for Soccer Analysis; Connecting the dots Filipe Manuel Clemente,João Bernardo Sequeiros,Fer Book 2018 The Author(s) 2

要求

书目名称Computational Metrics for Soccer Analysis影响因子(影响力)




书目名称Computational Metrics for Soccer Analysis影响因子(影响力)学科排名




书目名称Computational Metrics for Soccer Analysis网络公开度




书目名称Computational Metrics for Soccer Analysis网络公开度学科排名




书目名称Computational Metrics for Soccer Analysis被引频次




书目名称Computational Metrics for Soccer Analysis被引频次学科排名




书目名称Computational Metrics for Soccer Analysis年度引用




书目名称Computational Metrics for Soccer Analysis年度引用学科排名




书目名称Computational Metrics for Soccer Analysis读者反馈




书目名称Computational Metrics for Soccer Analysis读者反馈学科排名

Talkative

How to Use the Dots to Analyze the Behavior and the Collective Organization,that have been used to track players during the games and training sessions and to discuss which kind of information can be used to analyze the individual and collective behavior. The introduction to the uPATO software will be also executed. This software allows to import position data from multi-ca

watertight,

Metrics to Measure the Center of the Team,, including the associated formulae and definitions, representations if valid, and an interpretation on what the metric can convey the user. The following measures will be presented: Geometrical Center; Longitudinal and Lateral Inter-team Distances; Time Delay between teams’ movements and Coupling S

Dissonance

POWER

V. -Ch. Steinmetz,T. Iber,D. A. Vagts PDtrength. The case studies presented involve two five-player teams in an SSG considering only the space of half pitch (68 m goal-to-goal and 52 m side-to-side) and another eleven-player team in a match considering the space of the entire field (106.744 m goal-to-goal and 66.611 m side-to-side) even though only playing in half pitch.

热情的我

Metrics to Measure the Center of the Team,trength. The case studies presented involve two five-player teams in an SSG considering only the space of half pitch (68 m goal-to-goal and 52 m side-to-side) and another eleven-player team in a match considering the space of the entire field (106.744 m goal-to-goal and 66.611 m side-to-side) even though only playing in half pitch.

热情的我

–LOUS

H. Käferstein,M. Staak,G. Stichtavior, predictability, stability and spatial exploration of players will be discussed. Collective measures that represent the Geometrical Center and team’s dispersion will be also presented during this chapter. The main evidences that resulted from these measures will be briefly discussed.

使厌恶

https://doi.org/10.1007/978-3-658-14949-9dual and collective behavior. The introduction to the uPATO software will be also executed. This software allows to import position data from multi-camera tracking systems or Global Positioning System (GPS) and to compute tactical and collective measures representing group behavior.

magnanimity

Brief Review About Computational Metrics Used in Team Sports,avior, predictability, stability and spatial exploration of players will be discussed. Collective measures that represent the Geometrical Center and team’s dispersion will be also presented during this chapter. The main evidences that resulted from these measures will be briefly discussed.