Contributions for the Observation and Interpretation of the Soccer Game

2021 ◽  
pp. 190-208
Author(s):  
Israel Teoldo ◽  
José Guilherme ◽  
Júlio Garganta
Keyword(s):  
Soccer Game

Voronoi Analysis of a Soccer Game

2004 ◽  
Vol 9 (3) ◽  
pp. 233-240 ◽  
Author(s):  
S. Kim
Keyword(s):  
Collective Behavior ◽  
Quantitative Assessment ◽  
The Other ◽  
Analysis Method ◽  
Random System ◽  
Soccer Game ◽  
Voronoi Polygons ◽  
The Mean

This paper describes a Voronoi analysis method to analyze a soccer game. It is important for us to know the quantitative assessment of contribution done by a player or a team in the game as an individual or collective behavior. The mean numbers of vertices are reported to be 5–6, which is a little less than those of a perfect random system. Voronoi polygons areas can be used in evaluating the dominance of a team over the other. By introducing an excess Voronoi area, we can draw some fruitful results to appraise a player or a team rather quantitatively.

scholarly journals A New Improved Penalty Avoiding Rational Policy Making Algorithm for Keepaway with Continuous State Spaces

2009 ◽  
Vol 13 (6) ◽  
pp. 675-682 ◽  
Author(s):  
Takuji Watanabe ◽  
◽  
Kazuteru Miyazaki ◽  
Hiroaki Kobayashi ◽  
◽  
...  
Keyword(s):  
Basis Function ◽  
Function Approximation ◽  
Policy Making ◽  
Basis Functions ◽  
State Spaces ◽  
Soccer Game ◽  
Continuous State ◽  
Current Input ◽  
Multiagent Environments ◽  
Parp 1

The penalty avoiding rational policy making algorithm (PARP) [1] previously improved to save memory and cope with uncertainty, i.e., IPARP [2], requires that states be discretized in real environments with continuous state spaces, using function approximation or some other method. Especially, in PARP, a method that discretizes state using a basis functions is known [3]. Because this creates a new basis function based on the current input and its next observation, however, an unsuitable basis function may be generated in some asynchronous multiagent environments. We therefore propose a uniform basis function and range extent of the basis function is estimated before learning. We show the effectiveness of our proposal using a soccer game task called “Keepaway.”

scholarly journals Study on the Optimization of Physical Training in Students who are Members of the University Representative Soccer Team

GYMNASIUM ◽  
2019 ◽  
Vol XIX (1 (Supplement)) ◽  
pp. 56
Author(s):  
Vasile-Cătălin Savu
Keyword(s):  
Physical Training ◽  
Training Session ◽  
Time Span ◽  
Soccer Game ◽  
The People ◽  
Educational Processes ◽  
Soccer Team ◽  
Football Training ◽  
The University

The increase in players' performance due to the development of effort capacity has become more and more dominant in recent years, because of the ever-increasing contribution of science. The maximization of the connection between the physical, technical and tactical aspects of the soccer game focuses on designing the training session and on the clear justifications of the specific methods used in the modern game. To comply with a particular technical or tactical game system or plan, players must be able to physically carry out the requirements of this approach. If traditional football training used to focus primarily on player's technical and tactical development, to the detriment of physical training, the people involved in the educational processes have changed this with the intention of giving physical training a greater time span.

PLAYER'S POSITIONAL DEPENDENCE OF FRACTAL BEHAVIORS IN A SOCCER GAME

Fractals ◽  
2006 ◽  
Vol 14 (01) ◽  
pp. 71-76 ◽  
Author(s):  
SANGRAK KIM
Keyword(s):  
Time Series ◽  
Video Processing ◽  
Fractal Dimensions ◽  
Two Dimensional ◽  
Severe Attack ◽  
Soccer Game ◽  
Relative Dominance ◽  
Processing Techniques

This paper describes fractal behaviors in a soccer game according to the player's position. It is quite important for us to characterize the fractal motion behaviors of the objects during the game. We obtained two-dimensional coordinates of the objects using standard video processing techniques from a computer soccer game. We calculated values of regularization dimensions of the time series to characterize their fractal behaviors. To see positional dependence, we averaged individual player's values over the same position in the same team. When a team is one-sidedly experiencing a severe attack, its defenders have higher fractal dimensions than those of the opponent's corresponding players. We propose a new measure of relative dominance in attack against the opponent team.

Strategy and Communication in Robotic Soccer Game

2005 ◽  
pp. 565-570 ◽  
Author(s):  
Bobumil Horák ◽  
Marek Obitko ◽  
Jan Smid ◽  
Václav Snášel
Keyword(s):  
Soccer Game ◽  
Robotic Soccer

Zeng00: The Realization of Mixed Strategy in simulation soccer game

2001 ◽  
pp. 465-468
Author(s):  
Takuya Morishita ◽  
T. Kawarabayashi ◽  
H. Shimora ◽  
J. Nishino ◽  
H. Ogura
Keyword(s):  
Mixed Strategy ◽  
Soccer Game
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