Browsing by Subject "Tactical behaviour"

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    Open Access
    Análisis observacional de las acciones con balón de los delanteros centro en la UEFA euro 2020
    (Universidad de Murcia : servicio de publicaciones, 2026) Fernández-Sante, Daniel; Iván-Baragaño, Iyán; Maneiro, Rubén; Ardá, Antonio; Sin departamento asociado
    The objectives of this study were to analyze the offensive ball actions performed by center forwards in UEFA EURO 2020, to understand the relationship among various analyzed technical–tactical criteria and categories -including spatial, interactional, and intentional criteria-and the result of the action, and to establish a predictive model of the action results. To do so, 599 UEFA EURO offensive forwards actions were analyzed using observational methodology by means of an ad hoc observation instrument composed of 4 dimensions, 14 criteria and 129 categories, with an inter-observer reliability of κ = 0.842. Three types of analysis were carried out: a descriptive analysis by counting absolute and relative frequencies, a bivariate analysis using contingency tables between the criteria included in the observation instrument and the action result, and finally a predictive model based on binary logistic regression. The results obtained showed that the criteria modifying the result of the forwards' actions were: Area where the ball comes from (χ²= 140.3; p< .001; ES=.342), Area where the action takes place(χ²= 148.7; p< .001; ES=.352), Initial interaction context(χ²= 57.7; p< .001; ES=.219), Previous action(χ²= 78.2; p< .001; ES=.256), First-contact surface(χ²= 20.5; p= .002; ES=.131), Field area where the ball goes(χ²= 498;p< .001; ES=.645), Tactical intention(χ²= 73.9; p< .001; ES=.351), Action performed(χ²= 557.9; p< .001; ES=.682), and Final interaction context(χ²= 348.2; p< .001; ES=.539). From the multivariate approach, the logistic regression model has shown a predictive capacity of 80% when it came to predicting the ability of center forwards to maintain ball possession. The significant predictor variables were the Initial interaction context, the Tactical intention and theAction performed. These results can be useful when preparing and training for the specific position of the center forward as well as increasing their performanc
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    Publication
    Open Access
    Multivariate analysis of performance indicators in elite women’s futsal: A principal component approach to understanding game dynamics.
    (SAGE Publications, 2025-05-23) Villarejo García, Diego; Actividad Física y Deporte; Facultades de la UMU::Facultad de Ciencias del Deporte
    The current study analysed Key Performance Indicators (KPIs) specific to high-performing female futsal players using univariate and multivariate statistical approaches to better understand team dynamics in conjunction with individual performance. Data were collected from a sample of 10 female futsal players (mean age: 23.9 ± 3.4 years) over 25 official matches of the Spanish first division. Twenty KPIs were selected in collaboration with coaches and researchers to represent diverse offensive and defensive aspects of play. This study used observational methods and principal component analysis (PCA) to reduce the dimensionality of data and determine key performance factors. Descriptive statistics and factor analysis were conducted, with Kaiser-Meyer-Olkin (KMO = 0.63) values and communalities evaluated for sampling adequacy. PCA shown two main components explaining 64.09% of the total variance. The first component, “Aggressiveness in Attack”, (47.02% variance), was strongly associated with offensive production, including high rates of goal plays, shots, goals, assists, and fouls received. The second component, “Forceful Defence” (17.07% variance), primarily reflected defensive effectiveness, characterized by high rates of successful disputes, ball recoveries, and defensive intensity indicators, along with fewer ball losses. Individual player profiles revealed distinct tactical roles, with some players showing strong tendencies toward either offensive or defensive abilities. In conclusion, the use of multivariate analyses provides valuable insights into the performance of women's futsal, offering practical implications for coaches and players seeking to improve strategies and enhance individual and team performance through data-informed training and tactical planning.