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D. L. Carey, K. Ong, R. Whiteley, K. M. Crossley, J. Crow and M. E. Morris

Sports Medicine, 50(8), 471-475. Bourdon, P. C., Cardinale, M., Murray, A., Gastin, P., Kellmann, M., Varley, M. C., . . . Cable, N. T. (2017). Monitoring Athlete Training Loads: Consensus Statement. Int J Sports Physiol Perform, 12(Suppl 2), S2161-S2170. doi: 10.1123/IJSPP.2017-0208 Boyd, L. J., Ball, K., & Aughey, R. J. (2011). The reliability of MinimaxX accelerometers for measuring physical activity in Australian football. International Journal of Sports Physiology and Performance, 6(3), 311-321. Breiman, L. (2001

Open access

Diána Ivett Fürész

References 1. Dobson, S., Gerrard, B. (1999). The Determination of Player Transfer Fees in English Professional Soccer. Journal of Sport Management , Vol. 13, No. 4, pp. 259-279. 2. Galambosné Tiszberger, M. (2015). A hálózatkutatás módszertani vizsgálati lehetőségei – szakirodalmi összefoglalás . Irodalomkutatás eredményei. Pécs, Pécsi Tudományegyetem. 3. Kapanova, K. (2012). Football transfers looked from a social network analyses perspective . Available at [10 May 2018

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Nurtekin Erkmen, Halil Taşkin, Ahmet Sanioğlu, Turgut Kaplan and Dede Baştürk

-field testing environment and balance error scoring system performance during preseason screening of healthy collegiate baseball players. J Athl Training, 2007; 42(4): 446-451. Orchard J. Is there a relationship between ground and climatic conditions and injuries in football? Sports Med, 2002; 32: 419-432. Paillard T, Noe F, Riviere T, Marion V, Montoya R, Dupui P. Postural performance and strategy in the unipedal stance of soccer players at different levels of competition. J Athl Training, 2006; 41

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F. M. Clemente and F. M. L. Martins

Performance . Book, London & New York: Taylor & Francis Group. Clemente, F. M., Couceiro, M. S., Martins, F. M. L., Mendes, R. S., & Figueiredo, A. J. (2014). Practical Implementation of Computational Tactical Metrics for the Football Game: Towards an Augmenting Perception of Coaches and Sport Analysts. In Murgante, Misra, Rocha, Torre, Falcão, Taniar, … Gervasi (Eds.), Computational Science and Its Applications (pp. 712–727). Springer. Clemente, F. M., Martins, F. M. L., Kalamaras, D., Wong, D. P., & Mendes, R. S. (2015). General network analysis of national

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Stig Arve Sæther and Nils Petter Aspvik

environment on youth elite football players’ well-being: A person-centered approach. Psychology of Sport and Exercise , 16 , 15-23. Kannekens, R., Elferink-Gemser, M. T., Post, W. J., & Visscher, C. (2009). Self-Assessed tactical skills in elite youth soccer players: A longitudinal study. Perceptual and Motor Skills , 109 , 459-472. Lazarus, R. S., & Folkman, S. (1984). Stress, appraisal and coping . New York: Springer. Lazarus, R. S. (2000). How emotions influence performance in competitive sports. The Sport Psychologist, 14 , 229-252. Moksnes

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Hassan Fahim Devin


In this descriptive – correlative study we examined the relationship between big five personality traits with cultural intelligence in 113 active soccer coaches in the city of Mashhad in north-eastern of Iran. Anget. al (2004) cultural intelligence (CI) and Costa & McCrae (1992) Revised NEO Personality Inventory (NEO-PI-R) and NEO Five-Factor Inventory (NEO-FFI questionnaires were used to obtain coaches’ rate of cultural intelligence and personality traits. The results of the study revealed a significant positive relationship between personality traits (except for neuroticism) with Cultural intelligence. A significant reverse relationship was observed between neuroticism and Cultural intelligence. A significant difference was observed between coaches with A and B coaching degree, in comparison with C and D coaching degree in terms of cultural intelligence. No significant difference was observed between these two groups regarding personality traits. Our results show that some of the personality characteristics are crucial and related to a capability to function effectively in diverse settings.

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Dániel Varga, Gyöngyi Földesi and János Gombocz

: RMC Research Corporation. Jowet, S. (2017). Coaching effectiveness: The coach-athlete relationship at its heart. Current Opinion in Psychology, 16, 154-158. Magyar Labdarúgó-szövetség (MLSZ) (2012). Tájékoztató a labdarúgó akadémiák licencminősítési eljárásáról [Handout about the proceedings of the license qualification at football academies]. Budapest: MLSZ. Mallett, C. & Côté, J. (2009). What is Coaching Effectiveness? Retrieved January 16, 2018, from http

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Hüseyin Hüsrev Turnagöl

Introduction Body composition in athletes is associated with athletic performance ( Steweart, 2001 ) as the proportions of low body fat and high lean body mass provide a good basis for the locomotor activities and specific technical skills required by the sport ( Reilly et al., 1996 ). Thus, the assessment of body composition in athletes by valid and reliable methods is of great importance for planning and evaluation of training programs and nutrient intake over time. American football players have increased body size ( Anzell et al., 2011 ). Indeed, the

Open access

D. L. Carey, K. Ong, M. E. Morris, J. Crow and K. M. Crossley

., Ball, K., & Aughey, R. J. (2011). The reliability of MinimaxX accelerometers for measuring physical activity in Australian football. International Journal of Sports Physiology and Performance, 6(3), 311-321. Clarke, N., Farthing, J. P., Norris, S. R., Arnold, B. E., & Lanovaz, J. L. (2013). Quantification of training load in Canadian football: application of session-RPE in collision-based team sports. The Journal of Strength & Conditioning Research, 27(8), 2198-2205. Cummins, C., Orr, R., O’Connor, H., & West, C. (2013). Global

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Pantelis Theodoros Nikolaidis, Beat Knechtle, Filipe Clemente and Gema Torres-Luque

national football players in Australia. J. Sci. Med. Sport, 9: 334-341. DOI:10.1016/j.jsams.2006.01.005. 9. Chlif M., H. Jullien, A. Temfemo, A. Mezouk, C. Manouvrier, D. Choquet (2010) Physical and physiological profile of semi-professional soccer player: Toward an individualization training in specifically field position. Sci. Sports, 25: 132-138. DOI:10.1016/j.scispo.2009.11.005. 10. Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. Hillsdale, NJ: Lawrence Erlbaum Associates, 1988. 11. Comfort P., A. Stewart, L. Bloom, B. Clarkson (2014