Detecting regularities in soccer dynamics : a T-pattern approach

The dynamics of play during professional soccer matches are complex phenomena that traditional approaches to the quantification of team sports are not fully able to identify. The aim of this study was to detect such dynamics through an analysis of temporal patterns. In particular, the objective was to reveal the hidden yet stable structures which underlie the interactive situations that determine the attack actions of play in soccer. The methodological approach is based on observational design, supported by digital recordings and computer analysis. Data were analyzed with Theme 6 beta software, which detects the temporal and sequential structure of data sets, revealing repeated patterns that may regularly or irregularly occur within a period of observation. Theme detected many temporal patterns (T-patterns) in the soccer matches analyzed. Striking differences were found when won and lost matches were compared. The number of pattern occurrences and the number of different T-patterns detected was greater for lost matches and lower for the won matches, whereas the number of events coded was similar. Theme software and T-pattern enhance research opportunities by moving further than frequency-based analysis of performance, making this method an effective research and support tool for sports analysis. Our results indicate a need for further investigation upon the possible links between temporal structure detection and human observations in soccer performance. This approach could assist both soccer teams' staff and coaches in obtaining a greater understanding of game dynamics, providing information that current methods may overlook or not detect at all.La dinámica del juego en partidos de fútbol profesional es un fenómeno complejo que no ha estado resuelto de forma óptima a través de las vías tradicionales que han pretendido la cuantificación en deportes de equipo. El objetivo de este estudio es el de detectar la dinámica existente mediante un análisis de patrones temporales. Específicamente, se pretenden revelar las estructuras ocultas pero estables que subyacen a las situaciones interactivas que determinan las acciones de ataque en el fútbol. El planteamiento metodológico se basa en un diseño observacional, y con apoyo de registros digitales y análisis informatizados. Los datos se analizaron mediante el programa Theme 6 beta, el cual permite detectar la estructura temporal y secuencial de las series de datos, poniendo de manifiesto patrones que regular o irregularmente ocurren repetidamente en un período de observación. El Theme ha detectado muchos patrones temporales (T-patterns) en los partidos de fútbol analizados. Se hallaron notables diferencias entre los partidos ganados y perdidos. El número de distintos T-patterns detectados fue mayor para los partidos perdidos, y menor para los ganados, mientras que el número de eventos codificados fue similar. El programa Theme y los T-patterns mejoran las posibilidades investigadoras respecto a un análisis de rendimiento basado en la frecuencia, y hacen que esta metodología sea eficaz para la investigación y constituya un apoyo procedimental en el análisis del deporte.Nuestros resultados indican que se requieren posteriores investigaciones relativas a posibles conexiones entre la detección de estas estructuras temporales y las observaciones humanas respecto al rendimiento en el fútbol. Este planteamiento sería un apoyo tanto para los miembros de los equipos como para los entrenadores, permitiendo alcanzar una mejor comprensión de la dinámica del juego y aportando una información que no ofrecen los métodos tradicionales. A dinâmica do jogo em competições de futebol de competição é um fenómeno complexo que não é abordado de forma suficiente através das vias tradicionais que se pretendem na qualificação em desportos de equipa. O objectivo deste estudo é detectar a dinâmica existente mediante uma análise de padrões temporais. Especificamente, pretende-se revelar as estructuras ocultas mas estáveis subjacentes às situações interactivas que determinam as acções de ataque no futebol. O planeamento metodológico baseia-se no delineamento observacional, a registos digitais e a análises informatizadas. Os dados foram analisados mediante o programa Theme 6 beta, o qual permite detectar a estrutura temporal e sequencial das séries de dados, pondo em relevo padrões que regular ou irregularmente ocorrem repetidamente num período de observação. O Theme detectou vários padrões temporais (padrões-T) nos jogos de futebol analisados. Verificaram-se notáveis diferenças entre os jogos ganhos e perdidos. O número de distintos padrões-T detectados foi maior para os jogos perdidos, e menor para os ganhos, enquanto que o número de eventos codificados foi semelhante. O programa Theme e os padrões-T melhoram as possibilidades de investigação a respeito da análise de rendimento baseada na frequência, fazendo com que esta metodologia seja eficaz para a investigação e se constitua como um suporte procedimental na análise desportiva. Os resultados obtidos requerem posteriores investigações relativas às possíveis conexões entre a detecção destas estruturas temporais e as observações humanas relativas ao rendimento no futebol. Este planeamento seria um suporte tanto para os membros das equipas como para os treinadores, permitindo alcançar uma melhor compreensão da dinâmica de jogo e fornecendo informação que não se obtém através dos métodos tradicionais

T-patterns analysis in soccer games: Relationship between time and attack actions

Sports performance consists of a multiple series of strategies that tend to follow one another. Performance analysis in team sports is usually focused on primary (fundamental skill execution), secondary (scoring) and tertiary (match result) outcomes. While there is general agreement over measuring secondary and tertiary outcomes, literature does not show a unanimous agreement over a unique measure of the primary level of performance. 'e aim of this study was to investigate primary performance outcomes through an analysis of temporal patterns. In particular, we were interested in verifying if changes in tertiary performance outcomes may be related to changes in primary ones. We selected three soccer matches played by a top club during the Serie A league over the 2012-2013 season in which there was a change in match result between *rst and second half (tertiary level of performance). 'e methodological approach was based on observational design, supported by digital recordings and computer analysis. Data were analyzed with 'eme 6 beta software, which detects the temporal and sequential structure of datasets, revealing repeated patterns that may regularly or irregularly occur within a period of observation (Tpatterns). Striking di+erences were found comparing *rst and second half temporal patterns, especially when the *nal match outcome showed an improvement of the *rst half 's one. Our results suggest that 'eme software and T-pattern enhance research opportunities by identifying a useful tool to study the link between primary and tertiary level of performance, making this an e+ective research and support instrument for sports analysis

How Game Location Affects Soccer Performance: T-Pattern Analysis of Attack Actions in Home and Away Matches

The influence of game location on performance has been widely examined in sport contexts. Concerning soccer, game-location affects positively the secondary and tertiary level of performance; however, there are fewer evidences about its effect on game structure (primary level of performance). This study aimed to detect the effect of game location on a primary level of performance in soccer. In particular, the objective was to reveal the hidden structures underlying the attack actions, in both home and away matches played by a top club (Serie A 2012/2013 - First League). The methodological approach was based on observational design, supported by digital recordings and T-pattern analysis. Data were analyzed with Theme 6.0 software. A quantitative analysis, with nonparametric and descriptive statistics, was carried out to test the hypotheses. A qualitative analysis on complex patterns was performed to get in-depth information on the game structure. This study showed that game tactics were significantly different, with home matches characterized by a more structured and varied game than away matches. Theme software, and the corresponding T-pattern detection algorithm, enhance research opportunities by going further than frequency-based analyses, making this method an effective tool in supporting sport performance analysis and training

T-pattern analysis in soccer games: Relationship between time and attack actions

Sports performance consists of a multiple series of strategies that tend to follow one another. Performance analysis in team sports is usually focused on primary (fundamental skill execution), secondary (scoring) and tertiary (match result) outcomes. While there is general agreement over measuring secondary and tertiary outcomes, literature does not show a unanimous agreement over a unique measure of the primary level of performance. The aim of this study was to investigate primary performance outcomes through an analysis of temporal patterns. In particular, we were interested in verifying if changes in tertiary performance outcomes may be related to changes in primary ones. We selected three soccer matches played by a top club during the Serie A league over the 2012-2013 seasonin which there was a change in match result between *rst and second half (tertiary level of performance). The methodological approach was based on observational design, supported by digital recordings and computer analysis. Data were analyzed with theme 6 beta software, which detects the temporal and sequential structure of datasets, revealing repeated patterns that may regularly or irregularly occur within a period of observation (Tpatterns). Striking di+erences were found comparing first and second half temporal patterns, especially when the *nal match outcome showed an improvement of the first half ’s one. Our results suggest that 'eme software and T-pattern enhance research opportunities by identifying a useful tool to study the link between primary and tertiary level of performance, making this an e+ective research and support instrument for sports analysis

Episode of Situated Learning to Enhance Student Engagement and Promote Deep Learning: Preliminary Results in a High School Classroom

Teaching is now experiencing a new centrality due to the fast socio-cultural transformations, the vertical growth of digital media and, therefore, the new ways children and young people learn. New paradigms and teaching methodologies are emerging to meet the new educational needs; among them, the 'Episodes of Situated Learning' approach (EAS in Italian) was chosen for this study. This approach broadly refers to the 'Flipped Class' model, in which the lesson structure reverses the traditional teaching/learning cycle with a positive outcome on engagement and learning. The present study aims to explore whether the EAS teaching methodology, according to literature about the Flipped Class model, has a positive outcome on student engagement, focusing on its emotional, cognitive and behavioral components. In particular, we hypothesize that the EAS teaching methodology changes teachers' behavior in classroom, increasing their movements and body expression during the lesson. Moreover, we expect higher levels of self-efficacy and positive emotions and lower levels of perceived anxiety in teachers, thus improving students' level of engagement. The research was conducted in a secondary school, in Milan, and includes a classroom of sixteen students and three teachers. We chose a quasi-experimental nested design, a mixed-method approach that combines the qualitative and quantitative collection and analysis of data, in order to reach, as far as possible, a holistic, effective and exhaustive representation of the studied phenomenon. Pre-post measures, including video-recording, systematic observation and questionnaires, of both students and teachers were collected during the 8 months of experimentation. This research project could foster positive outcomes for participants as well as the broader society, in which school dropout is increasing. Many authors positively associate low levels of students' engagement to high rates of school dropout; for this reason, working on improving teaching methodologies and students' engagement measurement, could be an effective way to enhance learning and opposing school dropout

T-Pattern Analysis and Cognitive Load Manipulation to Detect Low-Stake Lies: An Exploratory Study

Deception has evolved to become a fundamental aspect of human interaction. Despite the prolonged efforts in many disciplines, there has been no definite finding of a univocally “deceptive” signal. This work proposes an approach to deception detection combining cognitive load manipulation and T-pattern methodology with the objective of: (a) testing the efficacy of dual task-procedure in enhancing differences between truth tellers and liars in a low-stakes situation; (b) exploring the efficacy of T-pattern methodology in discriminating truthful reports from deceitful ones in a low-stakes situation; (c) setting the experimental design and procedure for following research. We manipulated cognitive load to enhance differences between truth tellers and liars, because of the low-stakes lies involved in our experiment. We conducted an experimental study with a convenience sample of 40 students. We carried out a first analysis on the behaviors’ frequencies coded through the observation software, using SPSS (22). The aim was to describe shape and characteristics of behavior’s distributions and explore differences between groups. Datasets were then analyzed with Theme 6.0 software which detects repeated patterns (T-patterns) of coded events (non-verbal behaviors) that regularly or irregularly occur within a period of observation. A descriptive analysis on T-pattern frequencies was carried out to explore differences between groups. An in-depth analysis on more complex patterns was performed to get qualitative information on the behavior structure expressed by the participants. Results show that the dual-task procedure enhances differences observed between liars and truth tellers with T-pattern methodology; moreover, T-pattern detection reveals a higher variety and complexity of behavior in truth tellers than in liars. These findings support the combination of cognitive load manipulation and T-pattern methodology for deception detection in low-stakes situations, suggesting the testing of directional hypothesis on a larger probabilistic sample of populationThe authors are gratefully acknowledge the support of two Spanish government projects (Ministerio de Economía y Competitividad): (1) La Actividad Física y el Deporte Como Potenciadores del Estilo de Vida Saludable: Evaluación del Comportamiento Deportivo Desde Metodologías No Intrusivas [Grant No. DEP2015-66069-P, MINECO/FEDER, UE]; (2) Avances Metodológicos y Tecnológicos en el Estudio Observacional del Comportamiento Deportivo [Grant No. PSI2015-71947-REDP, MINECO/FEDER, UE]. In addition, they thank the support of the Generalitat de Catalunya Research Group, GRUP DE RECERCA I INNOVACIÓ EN DISSENYS (GRID). Tecnología i Aplicació Multimedia i Digital als Dissenys Observacionals [Grant No. 2017 SGR 1405]. Lastly, MTA also acknowledge the support of University of Barcelona (Vice-Chancellorship of Doctorate and Research Promotion).Peer Reviewe

The sensorimotor Dimension of the Networked Flow: an Exploratory Study Using an Interactive Collaborative Platform

The ability to cooperate with another individual in order to achieve a shared goal is crucial for human survival and it is called joint action. It is noted that this process can originate when actors are synchronized at a sensorimotor level. However, experiential correlates of sensorimotor synchronization are nearly unexplored. The aim of this study was to investigate the relationship between the experience of flow and social presence in a sensorimotor collaborative task. 12 female couples (mean age = 22.33; S.D. = .815) and 12 male couples (mean age = 22.88; S.D. = .789) were involved in a tower-building task across 10 consecutive trials using the COLLEGO platform. Couple members alternated their leader/follower role. Platform recorded time stamp (ms) and position of each selected object when it was picked/released, providing a measure of performance. Thereafter, participants’ level of flow (Flow State Scale) and social presence (Networked Minds Social Presence Inventory) were assessed. Flow and Social presence correlated positively at a global level. Having clear goals and perceiving a balance between challenges and skills were associated with a higher performance. The autotelic dimension of flow was negatively related with global performance. At the same time, task duration correlated negatively with cognitive and behavioral dimensions of social presence, but positively with emotional dimensions. Results are discussed in light of the Networked Flow model that assumes a strong positive link between social presence and flow at the base of the highest levels of collaborative performance