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  1. Dual Careers of Athletes During COVID-19 Lockdown.Pascal Izzicupo, Angela Di Baldassarre, Ilvis Abelkalns, Ugis Bisenieks, Antonio Sánchez-Pato, Francisco José Cánovas-Alvarez, Mojca Doupona, António J. Figueiredo, Juan Alfonso García-Roca, Barbara Ghinassi, Alejandro Leiva-Arcas, Lourdes Meroño, Anda Paegle, Liliana-Elisabeta Radu, Cristian-Mihail Rus, Oana-Mihaela Rusu, Hugo Sarmento, Janis Stonis, Raquel Vaquero-Cristóbal, Vasco Vaz & Laura Capranica - 2021 - Frontiers in Psychology 12.
    This study aimed to investigate the student-athletes' capability to face the academic, sport, and social challenges during the coronavirus disease 2019 (COVID-19) lockdown and to disclose novel aspects of dual careers. A 32-item online survey encompassing demographic characteristics, sport and university engagement, support and dual-career benefits, physical activity, sitting time, and the time deemed necessary to recover the previous level of performance was developed. Four hundred sixty-seven student-athletes (males: 57%, females: 43%) from 11 countries, competing in 49 different sports (individual: (...)
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    Comparative Analysis of the Offensive Effectiveness in Winner and Losing Handball Teams.Willian Ferrari, Gonçalo Dias, Tiago Sousa, Hugo Sarmento & Vasco Vaz - 2020 - Frontiers in Psychology 11.
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    Influence of Tactical and Situational Variables on Offensive Sequences During Elite European Handball Matches.Willian Ferrari, Hugo Sarmento, Adilson Marques, Gonçalo Dias, Tiago Sousa, Pedro Antonio Sánchez-Miguel, José Gama & Vasco Vaz - 2022 - Frontiers in Psychology 13.
    The main objective of this study was to analyze the influence of tactical and situational variables on offensive sequences during elite European handball matches. A sample of 55 games and 5.857 offensive sequences from the European Handball Federation Champions League, the selected teams were classified as the top eight teams in the league, were analyzed using X2 and logistic regression analyses. Results indicated that positional attacks [odds ratio = 0.34; 95% CI: 0.28–0.42; p < 0.001] and fast attacks decreased the (...)
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    Networks metrics and ball possession in professional football.José Gama, Gonçalo Dias, Micael Couceiro, Tiago Sousa & Vasco Vaz - 2016 - Complexity 21 (S2):342-354.
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