Data set: Goal Patterns and Situational Dynamics in Professional Futsal

Villarejo García, Diego

Publication:
Data set: Goal Patterns and Situational Dynamics in Professional Futsal

dc.contributor.author	Villarejo García, Diego
dc.contributor.department	Actividad Física y Deporte	es
dc.contributor.other	Facultad de Ciencias del Deporte	es
dc.coverage.spatial	España	es
dc.date.accessioned	2025-07-09T06:58:05Z
dc.date.available	2025-07-09T06:58:05Z
dc.date.issued	2025-07-09
dc.description.abstract	The aim of this study was to identify whether there is any type of goal that differentiates certain situational variables in futsal competition. To this end, 5,903 goals were observed in matches played in the Spanish Men’s National Futsal League. The situational variables analyzed were match outcome, partial match score, ranking of the team scoring the goal, and stage of the tournament. The independent variable “type of goal” included the categories: throw-in; corner kick; fouls; second play; double penalty; penalty; press break; positional attack; numerical superiority; numerical inferiority; transitions; and ball recoveries. To analyze differences between variables, a Chi-square test and Cramer’s V coefficient were performed. To establish associations, a correspondence analysis was conducted, and to determine relationships, a multinomial logistic regression analysis was carried out. The main results revealed significant differences between the variable type of goal scored and the variables match outcome (p < .001), score (p < .02), and ranking (p < .001). The Cramer’s V coefficient indicated a strong association between the variable type of goal scored and the variable match outcome, and moderate associations with the variables score and ranking. The correspondence analysis allowed graphical visualization of the relationships between categorical variables, showing a clear segregation between the categories of the dependent variable and some associations between dependent and independent categories. Finally, the multinomial logistic regression model showed that goals scored under numerical inferiority and superiority were the most robust predictors of the categories outcome, score, and ranking. These results can be used by coaches to design training sessions, strategies, and team tactics for futsal competition.	es
dc.format	text/plain	es
dc.format.extent	1	es
dc.identifier.uri	http://hdl.handle.net/10201/157100
dc.language	eng	es
dc.relation	Sin financiación externa a la Universidad	es
dc.rights	info:eu-repo/semantics/openAccess	es
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Correspondence Analysis	es
dc.subject	Futsal	es
dc.subject	Goal Types	es
dc.subject	Multinomial Logistic Regression	es
dc.subject	Situational Variables	es
dc.subject.other	CDU::7 Bellas artes::79 - Diversiones. Espectáculos. Cine. Teatro. Danza. Juegos.Deportes	es
dc.title	Data set: Goal Patterns and Situational Dynamics in Professional Futsal	es
dc.type	info:eu-repo/semantics/other	es
dspace.entity.type	Publication	es
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