Proceedings of the 12th International Conference on Kinanthropology. Sport and Quality of Life. 7. – 9. 11. 2019



Global popularity of football (soccer) has led to implementation of scientific and technolog-ical knowledge in its everyday use. One of such things that has been expanding in recent years is the application of various technologies for monitoring running performance during trainings and matches. The aim of this study was to evaluate match running performance of professional football/soccer players during oficial matches by using global positioning sys-tem (GPS) technology, and to compare it among playing positions.<br /><br />One hundred and one match performance of “Hajduk” team in 14 matches of Croatian Football League season 2018/2019 were used for this study. The activities of the players were monitored using GPS technology (Catapult S5 and X4 devices, Melbourne, Australia) with a sampling frequency of 10 Hz. Total distance covered, distance in different speed cat-egories, total and high intensity accelerations and decelerations were analyzed for players in five different playing positions: central defenders (n=26), full-backs (n=24), midfielders (n=33), wingers (n=10), and forwards (n=8). Additionally, running performances were cor-related with InStat index, regular performance indicator which is calculated on the basis of unique set of key parameters for each position (12 to 14 factors).<br /><br />Average total distance covered during match was 10.3 km, with midfielders covering larg-est (11.1 km) and central backs covering smallest average distance (9.3 km). Playing po-sitions differed significantly in high intensity running (F-test = 21.97 and 18.84, p 25 km/h, respectively). The side positions (wingers and full-backs) covered highest-, while central defenders covered lowest-average distance (914, 775, and 376 m, respectively). The wingers had highest number of high intensity accelerations and decelerations (> 3 m/s2; F-test = 16.56 and 17.98, p 0.5 m/s2; F-test = 6.57, and 15.26, p < 0.01, respectively). InStat index was not correlated with data ob-tained by GPS measurement.<br /><br />Results from this study indicate that running demands differ depending on playing positions so these findings should be applied in creating training plan and program. Future studies should evaluate data from multiple teams for getting more applicable findings.

Klíčová slova

running performance; soccer; accelerations; decelerations


Andrzejewski, M., Chmura, J., Pluta, B., & Konarski, J. M. (2015). Sprinting activities and distance covered by top level Europa league soccer players. International Journal of Sports Science & Coaching, 10(1), 39-50.


Aquino, R, Carling, C, Palucci Vieira, LH, Martins, G, Jabor, G, Machado, J, Santiago, P, Garganta, J, and Puggina, E (2020). Influence of situational variables, team formation, and playing position on match running performance and social network analysis in brazilian professional soccer players. The Journal of Strength & Conditioning Research, 34(3), 808-817.


Barros, R. M., Misuta, M. S., Menezes, R. P., Figueroa, P. J., Moura, F. A., Cunha, S. A., . . . Leite, N. J. (2007). Analysis of the distances covered by first division Brazilian soccer players obtained with an automatic tracking method. Journal of sports science & medicine, 6(2), 233.



Bradley, P. S., Sheldon, W., Wooster, B., Olsen, P., Boanas, P., & Krustrup, P. (2009). High-intensity running in English FA Premier League soccer matches. Journal of sports sciences, 27(2), 159-168.



Carling, C., Bloomfield, J., Nelson, L., & Reilly, T. (2012). The role of motion analysis in elite soccer: Contemporary performance measurement techniques and work rate data. Sports medicine, 38(10), 389.



Carling, C., Williams, A. M., & Reilly, T. (2007). Handbook of soccer match analysis: A systematic approach to improving performance: Routledge.



Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Hillsdale, NJ: L. Erlbaum Associates.



Dellal, A., Chamari, K., Wong, d. P., Ahmaidi, S., Keller, D., Barros, R., . . . Carling, C. (2011). Comparison of physical and technical performance in European soccer match-play: FA Premier League and La Liga. European Journal of Sport Science, 11(1), 51-59.



Di Salvo, V., Baron, R., Tschan, H., Montero, F. C., Bachl, N., & Pigozzi, F. (2007). Performance characteristics according to playing position in elite soccer. International journal of sports medicine, 28(03), 222-227.



Di Salvo, V., Gregson, W., Atkinson, G., Tordoff, P., & Drust, B. (2009). Analysis of high intensity activity in Premier League soccer. International journal of sports medicine, 30(03), 205-212.



Ehrmann, F. E., Duncan, C. S., Sindhusake, D., Franzsen, W. N., & Greene, D. A. (2016). GPS and injury prevention in professional soccer. The Journal of Strength & Conditioning Research, 30(2), 360-367.



Ferguson, C. J. (2009). An effect size primer: A guide for clinicians and researchers. Professional Psychology: Research and Practice, 40(5), 532.



Kubayi, A., & Toriola, A. (2018). Physical demands analysis of soccer players during the extra-time periods of the UEFA Euro 2016. South African Journal of Sports Medicine, 30(1).



Lago-Peñas, C., & Lago-Ballesteros, J. (2011). Game location and team quality effects on performance profiles in professional soccer. Journal of sports science & medicine, 10(3), 465.



Mallo, J., Mena, E., Nevado, F., & Paredes, V. (2015). Physical demands of top-class soccer friendly matches in relation to a playing position using global positioning system technology. Journal of human kinetics, 47(1), 179-188.



Mohr, M., Krustrup, P., & Bangsbo, J. (2003). Match performance of high-standard soccer players with special reference to development of fatigue. Journal of sports sciences, 21(7), 519-528.



Vigne, G., Gaudino, C., Rogowski, I., Alloatti, G., & Hautier, C. (2010). Activity profile in elite Italian soccer team. International journal of sports medicine, 31(05), 304-310.