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Marco Beato, Mikael Jamil and Gavin Devereux

and deceleration activities, as well as time spent at high speed running ( Di Salvo et al., 2006 ). Previous literature has reported that soccer players, on the basis of their roles and game level, usually cover a range of distances from 10 to 13 km ( Di Salvo et al., 2009 ). From a coaching perspective, physical data should be utilised in conjunction with technical and tactical information, in order to have better comprehension of match demands ( Beato et al., 2016b ; Carling et al., 2008 ; Christopher et al., 2016 ). Performance analysis mainly focuses on

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Julen Castellano, David Casamichana and Carlos Lago

; suppl. 10: 4-5. Bate R. Football chance: tactics and strategy. In: Science and Football I. Eds: Reilly T, Lees A, Davis K. and Murphy WJ. London: E. and F. N. Spon, 1988, pp 293-301. Bishovets A, Gadjiev G, Godik M. (1993). Computer analysis of the effectiveness of collective technical and tactical moves of footballers in the matches of 1988 Olympics and 1990 World Cup. In: Science and Football II. Eds: Reilly T, Clarys J. and Stibbe A. London: E. and F. N. Spon, 1993, pp 232-238. Carling C

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Jose M. Saavedra, Sveinn Þorgeirsson, Milan Chang, Hafrún Kristjánsdóttir and Antonio García-Hermoso

) including match analysis. This type of analysis has been done for women’s teams in other sports, such as basketball ( Gómez Ruano et al., 2007 ; Moreno et al., 2013 ), soccer ( Pollard and Gomez, 2014 ; Soroka and Bergier, 2010 ), volleyball ( García-Hermoso et al., 2013 ; Grgantov et al., 2006 ), and water polo ( Escalante et al., 2012 ; Saavedra et al., 2016 ). However, in handball the number of studies is small. At the 2003 World Championship (preliminary round), 15 matches were analysed (regression analysis) to examine the relationship between backcourt attackers

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Marcin Andrzejewski, Beata Pluta, Marek Konefał, Paweł Chmura and Jan Chmura

). Advances in the application of information technology to sport performance. Journal of Sports Science 20, 755-769. 16. Mohr M., Krustrup P., Bangsbo J. (2003). Match performance of high-standard soccer players with special reference to development of fatigue. Journal of Sports Science 21, 519-528. 17. Di Salvo V., Collins A., Mc Neill B., Cardinale M. (2006). Validation of ProZone. A new video-based performance analysis system. International Journal of Performance Analysis in Sports 26, 108-119. 18. Di Salvo V., Baron R

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Carlos Lago-Peñas and Alexandre Dellal

: 191-192. Carling C, Williams AM, Reilly T. Handbook of soccer match analysis: A systematic approach to improving performance. Abingdon, UK: Routledge, 2005. Dellal A, Chamari C, Wong DP, Ahmaidi S, Keller D, Barros MLR, Bisciotti GN, Carling C. Comparison of physical and technical performance in European professional soccer match-play: The FA Premier League and La LIGA. Eur J Sport Sci, ahead to print. Dellal A, Wong DP, Moalla W, Chamari K. Physical and technical activity of soccer

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Felipe Arruda Moura, Juliana Exel Santana, Nathália Arnosti Vieira, Paulo Roberto Pereira Santiago and Sergio Augusto Cunha

. Sports Biomech, 2012; 11(1): 85-96 Moura FA, Santana JE, Marche AL, Aguiar TH, Rodrigues ACMA, Barros RML, Cunha SA. Quantitative analysis of futsal players' organization on the court. Rev Port Cien Desp, 2011; 11(2): 105-108 Okihara K, Kan A, Shiokawa M, Choi CS, Deguchi T, Matsumoto M, Higashikawa Y. Compactness as a strategy in a soccer match in relation to a change in offence and defense. J Sports Sci, 2004; 22(6): 515 Silva P, Aguiar P, Duarte R, Davids K, Araújo D, Garganta J. Effects of pitch size and skill level on tactical behaviours of

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Carlos Lago-Peñas, Joaquín Lago-Ballesteros and Ezequiel Rey

References Armatas V, Yannakos A, Zaggelidis G, Skoufas D, Papadopoulou S, Fragkos N. Differences in offensive actions between top and last teams in Greek first soccer division. J Phys Educ Sport, 2009. 23(2): 1-5. Carling C, Reilly T, Williams A. Performance assessment for field sports, London: Routledge, 2009. Carling C, Williams A, Reilly T. The handbook of soccer match analysis, London: Routledge, 2005. Ensum J, Taylor S, Williams M. A quantitative

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Diogo Peixoto, Gibson Moreira Praça, Sarah Bredt and Filipe Manuel Clemente

References 1. Gréhaigne JF, Godbout P, Zerai Z. How the “rapport de forces” evolves in a soccer match: the dynamics of collective decisions in a complex system. Rev Psicol del Deport. 2011;20(2):747-765. 2. Passos P, Milho J, Fonseca S, Borges J, Araújo D, Davids K. Interpersonal distance regulates functional grouping tendencies of agents in team sports. J Mot Behav. 2011;43(2):155-163; doi: 10.1080/00222895.2011.552078. 3. Lago-Peñas C, Lago-Ballesteros J. Game location and team quality effects on performance

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Javier Courel-Ibáñez, Bernardino Javier Sánchez-Alcaraz Martínez and Jerónimo Cañas

reports exploring these relationships, we found it difficult to establish an accurate hypothesis. Material and Methods Participants The sample included 1527 rallies from 10 male matches of the 2013 Masters Finals of the World Padel Tour. This competition gathers the top 16 players, becoming the most important padel tournament in the world and ensuring the highest competitive level in all the matches. Variables pertaining to the length of a rally, attack effectiveness, a game outcome and a players’ location were included in the analysis: • Length of a

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Filipe Manuel Clemente, Micael Santos Couceiro, Fernando Manuel Lourenço Martins, Monika Ognyanova Ivanova and Rui Mendes

-852 Braz T, Spigolon L, Vieira N, Borin J. Competitive model of distance covered by soccer players in Uefa Euro 2008. Revista Brasileira de Ciências do Esporte , 2010; 31: 177-191 Carling C. Analysis of physical activity profiles when running with the ball in a Professional soccer teams. Journal of Sports Sciences , 2010; 28: 319-326 Castagna C, D’Ottavio S, Abt G. Activity profile of young soccer players during actual match play. The Journal of Strength Conditioning Research , 2003; 17: 775-780 Catterall C, Reilly T