Analysis of goals scored in the 2014 World Cup soccer tournament held in
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International Journal of Sport Studies. Vol., 4 (9), 1017-1026, 2014 Available online at http: www.ijssjournal.com ISSN 2251-7502 © 2014; Science Research Publications Analysis of goals scored in the 2014 World Cup soccer tournament held in Brazil Michailidis Yiannis* Department of Physical Education and Sports Sciences, Democritus University, Komotini, Greece *Corresponding Author, Email: michailidis79@hotmail.com Abstract After the end of a significant soccer tournament the sport scientists investigate the new trends in tactic and more specific the way of attack that the goals were scored, the actions that preceded goals, the area from which the goal was scored and some other elements of the goals. The purpose of the present study was to evaluate goal scoring characteristics of World Cup 2014 and the sample consisted of all the games of the final phase of the organization (N=64). The statistical analysis of the results was conducted with the use of the non- parametric chi square test (X2). According to the results of the present study the pass (>10m) was the basic final attacking action in most of the goals (22.2 %) when the short pass was at the second place (
Intl. j. Sport Std. Vol., 4 (9), 1017-1026, 2014 soccer evolution over time (Lottermann, 2000; Theis, 2000). Also the information collected through these studies is very important for the coaches to design the training (Armatas et al., 2009) and prepare their teams to be more effective. The aim of this study was to identify and evaluate the characteristics of goals achieved at the World Cup 2014. Specifically, it was examined the timing of achieving the goal, the way in which the goal was achieved, the action that preceded the goal, the area from which the goal was scored, the first’s goal influence in game’s outcome and the relation between the total distance that covered by the teams and the game’s outcome. Material and methods Sample We analyzed all the soccer matches (64) from the final phase of the World Cup 2014 in which a total of 171goals have been scored, without including the goals achieved during penalty process. Procedure The data were obtained from the database of the website of the FédérationInternationale de Football Association (FIFA, www.fifa.com) through official overviews of the games. The goals were analyzed through systematic observation according to Lames (1991, 1994) and Singer and Willimczik (2002). For the recording, was used a game observation leveled board which was based on past studies (Loy, 1992, 1995; Theis, 1992a, 1992b, 2000). Every goal has been analyzed by two experienced observers who were specially trained for the accurate and reliable data recording. The analysis variables were: The number of goals achieved in each half including the extra time. The number of goals achieved per 15 minutes (1-15, 16-30, 31-45, 1st extra time, 45-60, 61-75, 76-90, nd 2 extra time). The ways that the goals achieved (shot, ‘’place’’ or inner part of the foot, header, another place of the body, own goal, penalty). First goal impact on the game outcome for the scoring team (win, draw, defeat). Distance covered by the team impact on the game outcome. Number of passes impact on the game outcome. Number of success passes impact on the game outcome. The action that preceded the goal (pass 10m, own action, header, foul, cross from the right, cross from the left, corner from the right, corner from the left, defender rebuttal, defender mistake, goalkeeper rebuttal, goalkeeper mistake, goalpost, direct set play like foul or penalty). Area from which the goal was scored (goal box, penalty box, outside the penalty box). Statistical analysis All data were analyzed using the statistical package for PC SPSS 16.0 (Lead Technologies Inc, USA). Non parametric chi-square (X2) analysis was used to determine the statistically significant differences and the level of significance was set at (p
Intl. j. Sport Std. Vol., 4 (9), 1017-1026, 2014 Figure 1, a: Frequency of absolute and relative total goals, divided by half of the game. * denotes significant (p
Intl. j. Sport Std. Vol., 4 (9), 1017-1026, 2014 Figure 2: How the goals were scored (absolute and relative value). *denotes significant (p
Intl. j. Sport Std. Vol., 4 (9), 1017-1026, 2014 25 22.2 20 18.7 15 Percentage (%) * 10.5 * 10 * 8.8 * * * 7 6.4 5.3 5.8 * 5 * * 4.1 2.9 2.9 * * 1.8 2.3 * * 0.6 0.6 0 Di oa e Pa 10m L. ss m l se st m l K ake He n lay R. ck In 10m L. ner f. ner Fr der R. oss K tta f. tta ak tio re lpo o ki tp cr G/ ebu De ebu a cr r De cor ist G/ ist ac co > < ee ss ss d. r r G Pa ct Action prior the goal Figure 4: Action prior to goal scoring * denotes significant (p10m and Pass
Intl. j. Sport Std. Vol., 4 (9), 1017-1026, 2014 Analyzing the impact of total distance covered by the team in the game to the final result (Figure 6), the team that covered a bigger distance won in 29 games, the final result was a draw in 9 games, the team that covered the larger distance loose in 22 games. Data analysis showed no statistical difference between groups (X2=3.600, p>0.05) (Figure 6). Percentage of goals Number of golas 70 30 60 29 50.88 25 50 22 Percentage (%) 40 38.6 20 Value 30 15 20 10 10.52 10 6 5 0 Win Draw Defeat Total distance impact to game outcome Figure 6: Total distance (covered by the players) impact to game outcome (Absolute and relative value) The Figure 7a shows the impact of the number of passes that performed by the teams to the final result. The team that executes more passes won in 29 games, the final result was a draw in 9gamesand loose in 22games. Four games also played to penalties. We also study the impact of the completed passes to the final result and the analysis showed that the team that has higher percent of corrects passes has advantage for the final result (Figure 7b). More specific the team that performs more correct passes won in 30 games. 1022
Intl. j. Sport Std. Vol., 4 (9), 1017-1026, 2014 Figure 7: a. Passes number impact to game outcome game (absolute and relative value). b. Correct passes impact to game outcome (absolute and relative value). *denotes significant (p
Intl. j. Sport Std. Vol., 4 (9), 1017-1026, 2014 Discussion and Conclusion In this study we want to identify and evaluate the characteristics of goals achieved at the World Cup 2014. The scoring rate in the World cup of Brazil (2014) averaged 2.67 goals per game. This average is the same with that of world cup in France and is the biggest in the history of the world cup. As we present above the goals scored were time dependent, more goals scored in the middle of the 1st and 2nd half. Significant differences observed between the period 60 – 75 with periods 1-15 (X2=4.412, p
Intl. j. Sport Std. Vol., 4 (9), 1017-1026, 2014 depended by a lot of factors like the tactical strategies of the team, the physical condition of the players and the tactical strategy of the opponent. Also we investigate if the total number of passes that performed by a team has an impact to the final score. From the results we did not observed any correlation between the final score and the number of passes the executed by a team.This number related with the tactical strategy of the team and with technical abilities of the players. Another one relative factor that examined was the percentage of complete passes (correct). From the results found that the teams with the most correct passes won moreof the games. The national teams that participate to the tournament the last decades are more qualified in comparison with the teams 30 years before. The science development helps the coaches and sport scientists to use more appropriate exercises for tactical, technical and physical conditioning preparation of their teams. However the competitive season for the soccer players is bigger and in a lot of cases the players are ‘’tired’’ when they take part in the tournaments. In this world cup some of the traditional soccer teams (Spain, Italy, England, and Portugal) excluded after the first phase of the tournament. May be a smallest duration of the competitive season or with less games will help players to be more physical and mental refreshed. References Armatas V, Yiannakos A, 2010. Analysis and evaluation of goals scored in 2006 World Cup. J Sport Health Res. 2: 119-128. Armatas V, Yiannakos A, Sileloglou P, 2007a. Relationship between time and goal scoring in soccer games: Analysis of three world cups. Int J Perf Anal Sport. 7 (2): 48 – 58. Armatas V, Yiannakos A, Galazoulas C, Hatzimanouil D, 2007b. Goal scoring patterns over the course of a match: Analysis of Woman’s high standard soccer matches. Phys Train. January: 1. Armatas V, Yiannakos A, Papadopoulou S, Skoufas, D, 2009. Evaluation of the goal scoring patterns in European Championship in Portugal 2004.Int J Perf Anal Sport. 6(1): 178-188. Borrie A, Jonsson G, Magnusson M, 2002. Temporal pattern analysis and its applicability in sport: an explanation and exemplar data. J Sports Sci. 20: 845-852. Cachay K, Thiel A, 2000. Soziologie des Sports. München: Juventa-Verlag. Dufour W, 1993. Computer assisted scouting in soccer. In Reilly T, Lees A, Davids K Murphy W.J, Science and Football. London: E. and F. Spon: 264-268. FIFA, 2014. 2014, FIFA World Cup Brazil Player Statistics. Retrieved from http://www.fifa.com/worldcup/statistics. Franks IM, Miller G, 1986. Eyewitness testimony in sport.J Sport Beh. 9: 39-45. Garganta J, Maia J, Basto F, 1997. Analysis of goal-scoring patterns in European top level soccer teams. In Reilly T, Bangsbo J Hughes M, Science and Football III. London: E. & F.Spon: 246-253. Hohmann A, Rommel G, 1994. SpielbeobachtungimFußball.In: Leistungssport. 24, (6S): 41-46. Hunges M, Roberson K, Nicholson A, 1988. Comparison of patterns of play of successful and unsuccessful team. In Reilly T, Lees A, Davids K, Murphy WJ.Science and Football. London: E. and F. Spon.150- 152 Jinshan X, Xiakone C, Yamanaka K, Matsumoto M, 1993. Analysis of the goals in the 14th World Cup. In Reilly T, Clarys J, Stibbe A, Science and Football II.London: E. and F. Spon: 203-205. Jones M, Harwood C, 2008. Psychological momentum within competitive soccer: Players’ perspectives. J Appl Sport Psych. 20: 57-72. Lames M, 1991. Leistungsdiagnostik durch Computersimulation. Frankfurt/Main: Thun. Lames M, 1994. Systematische Spielbeobachtung. Münster: Philippka. Liebermann D.G, Katz L, Hughes M.D, Bartlett R.M, Mc Clements J, Franks I.M, 2002. Advances in the application of information technology to sport performance. J Sport Sci. 20: 755-769. Lottermann S, 2000. Tore machen wie Kluivert und Co. Fußballtraining. 22 (10S): 6-17. Loy R, 1992. Zweikampf – die Keimzelle des Spiels. Fußballtraining. 10(4): 29-35. Loy R, 1995. Systematische Spielbeobachtung im Fußball. Leistungssport. 25(3S): 15 20. Meier H.W, 2002. Tore direct und aus der Bewegung. Fussballtraining. 8: 24-26. Michaildis Y, Michaildis C, Primpa E, 2013. Analysis of goals scored in European Championship 2012. J Hum Sport Exer.8(2): 367-375. Michailidis C, Michailidis Y, Mitrotasios M, Papanikolaou Z, 2013. Analysis of goals scored in the UEFA champions’ league in the period 2009/2010. Serb J Sport Sci. 7(2): 51-55. Michailidis C, Michailidis I, Papaiakovou G, Papaiakovou I, 2004. Analysis and evaluation of way and place that goals were achieved during the European Champions League of Football 2002-2003.Sports Organ. 2(1): 48-54. 1025
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