Spatio-temporal cohesive networks for evaluating team behavior in soccer

Download

index.pdf

Date

2019

Author

Külah, Emre

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

266
views

117
downloads

In this thesis, we analyze positional organizations of soccer teams during game transitions which end with an important result and individual sprinting performances of soccer players. Social networks and distance matrices of teams are used to obtain organizations of teams. Spatial features of pitch such as pitch value and pass probability value are used to evaluate sprint performances. Social networks that we call cohesion matrices are used as weights in both attacking and defending transitions. The norm of the weighted distance matrices forms team spread values. Cohesion matrices show player to player interactions and connections between clusters of teams on the pitch. The team spread values are used to characterize the behaviors of teams in a transition. The average team spread values show that top teams are more expansed while attacking and more tighter while defending. Moreover, the average team spread values confirms that teams are wider while attacking except when a transition ends with losing the possession of the ball. These results characterize organizations of teams in the Turkish Super League and the effects of individual players on those organizations. Sprint analysis results show that full-back and winger players have higher sprint value averages while midfielders have less. Also, teams that are focused on having the possession of the ball have less average sprint value than teams playing in counter-attack style.

Subject Keywords

Data mining., Keywords: Soccer, Spatio-temporal data mining, Quantitative analysis, Sprint appraisal.

URI

http://etd.lib.metu.edu.tr/upload/12623758/index.pdf
https://hdl.handle.net/11511/44117

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

How do soccer teams coordinate consecutive passes? A visual analytics system for analysing the complexity of passing sequences using soccer flow motifs Malqui, Jose Luis Sotomayor; Romero, Noemí Maritza Lapa; Garcia, Rafael; Alemdar, Hande; Comba, João L.D. (Elsevier BV, 2019-11-01) The analysis of passing strategies plays a major role in soccer. Soccer managers use scouting, video footage, and soccer data feed to collect information about tactics and player performance. However, the nature of passing strategies is complex enough to reflect what is happening in the match and makes it hard to understand its dynamics. Furthermore, there exists a growing demand for pattern detection and passing analysis popularized by FC Barcelona's tiki-taka. In this paper, we describe a visual analytics...
METHODOLOGICAL PSYCHOLOGICAL INTERVENTION WITH FOOTBALL TRAINERS TO IMPROVE COACHING COMPETENCE PERCEIVED BY ATHLETES, SATISFACTION WITH COACH, ENJOYMENT AND INTENTION OF PERSISTING Aleksovska Velickovska, Lence; İnce, Mustafa Levent; Gontarev, Seryozha; Tasevski, Zikica; Todorovic, Miodrag (2021-01-01) Objectives: The purpose of the study was to assess the effect of a coaching intervention on soccer athletes’ perceptions of the coaches’ competencies, enjoyment, satisfaction, and intention to persist in the sport. Equipment and methods:The research was conducted on a sample of 105 young football players aged 10 to 15, drawn from 6 clubs:FC Maribor-Slovenia, FC Pelister-Macedonia, FC Gorica-Croatia, FC Graficar-Serbia, FC Doboj-BiH, FC Zeleznichar-Sarajevo. Focused on coacheffectiveness, coaches from EG rec...
Stature: Does it really make a difference in match-play outcomes among professional tennis players? Söğüt, Mustafa (2018-01-01) The purpose of this study was to determine the effects of body height on match-play characteristics among professional tennis players participated in the 2017 Wimbledon Championships. Anthropometric features and 11 match-play statistics of 119 players (male=60, female=59) were obtained from the official web page of the tournament and/or from the ATP and WTA. They were divided into three consecutive sub-groups according to their heights. Results revealed that, regardless of gender, players in the tallest gro...
Prediction of the Ball Location on the 2D Plane in Football Using Optical Tracking Data Amirli, Anar; Alemdar, Hande (2022-01-01) Tracking the ball location is essential for automated game analysis in complex ball-centered team sports such as football. However, it has always been a challenge for image processing-based techniques because the players and other factors often occlude the view of the ball. This study proposes an automated machine learning-based method for predicting the ball location from players' behavior on the pitch. The model has been built by processing spatial information of players acquired from optical tracking dat...
Prediction of the Ball Location on the 2D Plane in Football Using Optical Tracking Data Amirli, Anar; Alemdar, Hande (2022-01-01) Tracking the ball location is essential for automated game analysis in complex ball-centered team sports such as football. However, it has always been a challenge for image processing-based techniques because the players and other factors often occlude the view of the ball. This study proposes an automated machine learning-based method for predicting the ball location from players' behavior on the pitch. The model has been built by processing spatial information of players acquired from optical tracking dat...

Citation Formats

E. Külah, “Spatio-temporal cohesive networks for evaluating team behavior in soccer,” Thesis (M.S.) -- Graduate School of Natural and Applied Sciences. Computer Engineering., Middle East Technical University, 2019.