Ball Recovery Consistency as a Performance Indicator in Elite Soccer

Consistência na recuperação da bola como indicador de desempenho no futebol

Abstract

In soccer, an attack begins with ball recovery. Therefore, the consistency of this performance indicator during a match and its balanced distribution in the field zones can be one of the distinct characteristics of successful soccer teams. This study aims to investigate the performance consistency of ball recovery during a match within several time periods (6 periods of 15 min) and zones (four zones). To this end, observational methodology and software Focus X2 were adopted to evaluate 28 matches of semi-final teams at FIFA 2014 including Germany, Argentina, Netherlands, and Brazil in terms of ball recovery frequency. In total, 3222 performances were recorded. All teams in each match and in whole competition had homogeneity of distribution of ball recovery during the time periods (χ²₃ =1.597, p=0.66). The results of time-zone evaluation indicated that Netherlands and Brazil teams did not have performance consistency on all field zones (χ²₁₅=31.29, p=0.008 and χ²₁₅ =37.53, p=0.001, respectively). Most ball recoveries were made in the defensive and middle-defensive zones in accordance with modern soccer. It was found that for a soccer team to be successful, it requires a space distribution of experienced players in the field, which leads to power balance for redesigning a team to be offensive in all zones.

Key words
Soccer; Sports; Time

Resumo

No futebol, um ataque começa com recuperação de bola. Por isso, a consistência desse indicador de desempenho pode ser uma das características distintas para o sucesso das equipes de futebol. Este estudo tem como objetivo investigar a consistência da recuperação da bola no desempenho durante um jogo dentro de vários períodos de tempo (6 períodos de 15 min) e zonas (quatro zonas). Empegou-se o software Focus X2 para avaliar 28 partidas das equipes que chegaram às semifinais do mundial da FIFA de 2014 (Alemanha, Argentina, Holanda e Brasil) em termos de frequência de recuperação de bola. No total, foram registados 3,222 desempenhos. Todas as equipes em cada jogo e em toda competição teve a homogeneidade da distribuição de recuperação de bola durante os períodos de tempo (χ²3 = 1.597, p = 0,66). Os resultados indicaram que as equipes da Holanda e do Brasil não tinham consistência de desempenho em todas as zonas de campo (χ²15 = 31,29, p = 0,008 e χ²15 = 37,53, p = 0,001, respectivamente). A maioria das recuperações de bola foi feita na zona defensiva e na zona meio-defensivo. Verificou-se que para um time de futebol ser bem sucedido é necessário distribuição espacial dos jogadores mais experientes no campo, o que leva ao equilíbrio da equipe para ser ofensivo em todas as zonas.

Palavras-chave
Esportes; Futebol; Tempo

INTRODUCTION

Sports analysts regard the success of the world’s elite soccer teams as reliant on ball recovery¹ and essential strategies to maintain ball possession^2-4. This index plays an important role in the defensive as well as first stage of attack, and most chances of goals at 2010 World Cup were related to ball recovery in the middle-defense zone⁴. This indicates the importance of middle and defensive player performance in the success of international soccer teams.

Success in soccer requires performance consistency and continuous team effort during time intervals of the match. One of the reasons of teams’ success lies in the implementation of stable behavior during the match as well as maintaining the offensive stream, irrespective of the playing style, competition stage, and score line in progress^2,4,5. Players of such teams do not wait for the opponents to make a mistake so as to take advantage of the turnovers, but rather continuously maintain the attack flow through direct ball recovery such as interception and tackle^1,6. Therefore, one of the indicators of success in elite soccer involves a variety of behaviors for ball recovery and the zones where such behaviors are performed^2-4, because such behaviors constitute the basis of any attack linked with the success of teams. Previous studies have shown that the majority of ball recoveries in World Cups 1982 and 1990 occurred from the defensive zone, in European Clubs from the midfield zone⁷, in Euro 1996 from the offensive zone⁸, in the World Cup 1998 from the mid-defensive zone⁹, at the World Cup 2002 from the mid-defensive zone¹⁰, at the World Cup 2010 from the defensive and mid-defensive zones⁴, and in European Champions League 2012-13 from the defensive zone¹¹. Similarly, at the World Cup 1994, there were different ball recovery patterns that made successful teams adopt different playing styles¹². Hence, ball recovery zone is a situational variable affecting match results¹¹.

Analysts mainly focus on the frequency of events and analysis based on descriptive statistics such as frequency, percentage, mean comparisons, regression models, discrimination and sequential analysis so as to determine ball recovery and its relation to attacking behavior in a competition season or tournament^4,11,13-15. Such methods may suggest a suitable factor for successful performances in which time and space patterns for team performance indicators can be deduced. Although reports on the frequency of performance indicators can provide valuable information to coaches and players, there should be more in-depth analyses clarifying the invisible information on match performances. Consistency and flow of team behavior over time and zones is a useful information. Little attention has been paid to the time analysis of performance indicators for offensive behaviors in soccer. Nevertheless, the consistency of events leading to attack plays an important role in regulating the game flow and team results¹³. Analysis of defensive and offensive related indicators in teams that qualified for the quarter-final stage at Euro 2012 also showed that only Spain and Italy teams (tournament finalists) managed to maintain consistency of performance throughout the tournament. Generally, the most important factor that contributed to Spain winning the Championship was their performance consistency across all matches¹⁴.

The only study on the consistency of performance indicators was conducted to assess time consistency of soccer performance indicators¹⁵. Time series and statistical methods such as autocorrelation and cross-correlation were employed to analyze match consistency and its relation with match results in 16 defensive, offensive, and goal-related performance indicators in eight teams that qualified for the quarter-final stage of Euro 2012. The autocorrelation analysis revealed that Spain and Italy (finalists) had the highest performance consistency over consecutive matches compared to other teams. The cross-correlation analysis revealed that the highest relationship between goal-related parameters and match result was in Spain and France teams. With regard to offensive related indicators, France, England, Portugal, Greece, Czech, and Spain performed better. Moreover, France, England, Greece, and Portugal performed better in defensive related indicators. Overall, successful teams in international soccer tournaments tended to have higher performance consistency than any other team in consecutive matches¹⁸. However, the results have not been conclusive if such situations would determine the success of teams in other international tournaments.

World Cups are interesting events in the field of match analysis in terms of quality of opponents, match physical demands, frequency of matches, and time limitation, which are different from domestic leagues in any country and even continental tournaments^4,15,16. Due to the complexity of soccer and the effects of situational parameters such as match location, quality of opponents, and match status on performance^9,17,18, explorations have been carried out on the consistency of ball recovery as the success factor of elite soccer teams and the identification of zone pattern of ball recovery which play significant roles in designing the offensive event. Although consistency of different performance indicators¹⁵ as well as ball recovery performance in different zones of the field have been studied, there has not been any literature on comparing the performance indicators of teams over time periods and within both time and zone aspects. Hence, the current study set to evaluate the performance consistency of ball recovery in successful teams at the World Cup 2014 during 15-minute periods of the matches. Although previous studies focused only on ball recovery in different zones^4,12,13,19, here, the relationship between ball recovery time and zone in premier soccer teams at the World Cup 2014 was investigated.

METHODOLOGICAL PROCEDURES

The study followed observational approach and adopted digital recording techniques as well as computer analysis for evaluating the results. Based on the nature of samples analysis, the number of matches to be assessed was determined in terms of performance indicators²⁰. Therefore, due to limitations of the World Cup 2014 Brazil, only the performances of teams that qualified for the semi-finals including Germany, Argentina, the Netherlands, and Brazil were studied. The analysis covered 28 games (each team seven matches) of 64 matches throughout the tournament. Since the match results were not considered as dependent variable, the teams were equalized through examining only 90-minute periods of four World Cup successful teams while the extra times were excluded from the analysis. The videotapes of each game were recorded to be analyzed.

Data collection instrument

The sport behaviors of teams were observed and recorded by the software Focus X2 (Elite Sport Analysis, Delgaty Bay, Scotland). The software can record the frequency of performances based on defined criteria. The common soccer recoveries include: tackle, interception, goalkeeper save, set play, and turnover won across four field zones (defensive, mid-defensive, mid-offensive, and offensive)⁹, over six 15-min periods covered the first 15 min until the sixth 15-min periods recorded by the software. Computer keyboard was used to record the observations. This software is capable of repeating scenes and displaying slow motion. Observations were recorded by an expert specialized in observational analysis and familiar with the software. Thereafter, the data were recorded and analyzed by Microsoft Excel 2010 and SPSS 19.

Statistical analysis

Descriptive statistics and contingency tables were employed in assessing the distribution of ball recovery over six-time intervals in the tournament and various zones. Teams performance consistency of ball recovery was examined over 15-min courses per match. Moreover, the performance in different zones was tested through χ² independence, homogeneity and Kruskal-Wallis. The significance level was considered 0.05.

RESULTS

In all 28 matches, the successful World Cup teams recorded a total of 3222 ball recoveries, with Brazil recording 821 and the Netherlands 763. Table 1 illustrates the overall performance statistics of the teams during the 15-min periods of the matches throughout the tournament. The mean frequency of ball recovery within every 15-min in each four zones of Germany, Argentina, the Netherlands, and Brazil were 4.87, 4.87, 4.54, and 4.89, respectively.

Table 1
Ball recovery of the four teams qualified at the World Cup semi-finals 2014 sorted by time and matches

		Matches	Time Intervals															Time Intervals
Germany				15		30		45		60		75		90		Total	Argentina		15		30		45		60		75		90		Total
		First		18		20		14		13		14		14		93			18		17		17		22		17		21		112
		Second		19		22		18		20		17		26		122			18		24		19		20		13		23		117
		Third		20		15		23		15		17		16		106			19		14		18		25		18		19		113
		Fourth		25		22		23		21		20		27		138			21		18		16		24		24		27		130
		Fifth		23		20		16		18		20		32		129			18		15		18		22		21		28		122
		Sixth		23		18		26		17		13		17		114			16		17		17		16		17		20		103
		Seventh		22		18		21		19		15		22		117			19		18		24		17		18		26		122
		Total		150		135		141		123		116		154		819			129		123		129		146		128		164		819
Netherland				15		30		45		60		75		90		Total			15		30		45		60		75		90		Total
		First		21		13		18		17		12		23		104	Brazil		26		22		21		21		16		17		123
		Second		16		19		17		23		19		13		107			23		14		23		23		15		22		120
		Third		15		18		14		16		16		29		108			17		16		18		20		26		19		116
		Fourth		20		18		10		21		20		26		115			17		19		25		21		21		22		125
		Fifth		21		17		20		22		19		25		124			21		26		13		16		15		15		106
		Sixth		15		10		21		18		11		24		99			24		21		17		23		19		14		118
		Seventh		17		17		18		21		15		18		106			20		17		15		20		21		20		113
		Total		125		112		118		138		112		158		763			148		135		132		144		133		129		821

Assuming the frequency of ball recovery as random, the Kruskal-Wallis test revealed that the concentration parameter of the four teams had no significant difference, that is, they had similar performance in terms of the frequency of ball recovery, hence, equally distributed for the four teams (χ²₃ =1.597, p=0.66).

Comparison of team performances during the World Cup 2014 indicated that there was no significant difference between ball recovery distribution over 15-min periods and the first and second halves of the matches. In other words, homogeneity of ball recovery distribution during the game reflects the consistency of team performances (Table 2).

Table 2
Results of homogeneity test χ² between the six time periods and match halves for the teams qualified at semi-finals of World Cup 2014

	15 min. intervals1			Halves2
	X2		p		X2		p
Germany	15.83		0.98		5.74		0.45
Argentina	12.94		0.99		4.35		0.63
Netherland	23.01		0.81		2.42		0.88
Brazil	22.81		0.82		6.34		0.38

An examination of where ball recoveries occurred at the World Cup 2014, revealed that most performances belonged to the defensive and mid-defensive zones (Figure 1).

Figure 1
Distribution of ball recovery in field zones

In examining the relationship between zone and ball recovery time, Chi-Square test for independence revealed that the two variables in the Netherlands and Brazil were statistically correlated (χ²₁₅ =31.29, p =0.008 and χ²₁₅ =37.53, p =0.001, respectively). According to the Cramers’s V, the degree of correlation between the two variables in the Netherlands and Brazil were 0.117 and 0.123, respectively (Table 3). According to Table 4, based on independence hypothesis, the difference between the observed and expected values for the Netherlands and Brazil across the four field zones over the 15-min periods was enough to reject the hypothesis of statistical independence of time and zone in the ball recovery distribution.

Table 3
Results of independence test χ² between the match time and the field zones for four teams qualified at semi-finals of the World Cup 2014

Teams		X2		P1		Cramer’s v
Germany		17.12		0.31		0.083
Argentina		14.58		0.48		0.077
Netherland		31.29		0.008		0.117
Brazil		37.53		0.001		0.123

Table 4
Ball recovery of the teams qualified at the World Cup semi-finals 2014 in field zones

Teams							Time Intervals													Total
								15 Min		30 Min		45 Min		60 Min		75 Min		90 Min
Germany		Zone		Defensive		Count		45		41		48		52		46		58		290
						Expected Count		53.1		47.8		49.9		43.6		41.1		54.5		290.0
				Mid-defensive		Count		45		48		38		26		29		42		228
						Expected Count		41.8		37.6		39.3		34.2		32.3		42.9		228.0
				Mid-offensive		Count		35		34		34		29		29		29		190
						Expected Count		34.8		31.3		32.7		28.5		26.9		35.7		190.0
				Offensive		Count		25		12		21		16		12		25		111
						Expected Count		20.3		18.3		19.1		16.7		15.7		20.9		111.0
				Total		Count		150		135		141		123		116		154		819
Argentina		Zone		Defensive		Count		41		39		44		45		47		67		283
						Expected Count		44.6		42.5		44.6		50.4		44.2		56.7		283.0
				Mid-defensive		Count		36		38		35		37		24		38		208
						Expected Count		32.8		31.2		32.8		37.1		32.5		41.7		208.0
				Mid-offensive		Count		36		23		26		37		31		34		187
						Expected Count		29.5		28.1		29.5		33.3		29.2		37.4		187.0
				Offensive		Count		16		23		24		27		26		25		141
						Expected Count		22.2		21.2		22.2		25.1		22.0		28.2		141.0
				Total		Count		129		123		129		146		128		164		819
Netherland		Zone		Defensive		Count		58		44		42		48		41		56		289
						Expected Count		47.3		42.4		44.7		52.3		42.4		59.8		289.0
				Mid-defensive		Count		30		42		30		33		30		45		210
						Expected Count		34.4		30.8		32.5		38.0		30.8		43.5		210.0
				Mid-offensive		Count		30		21		31		43		21		32		178
						Expected Count		29.2		26.1		27.5		32.2		26.1		36.9		178.0
				Offensive		Count		7		5		15		14		20		25		86
						Expected Count		14.1		12.6		13.3		15.6		12.6		17.8		86.0
				Total		Count		125		112		118		138		112		158		763
Brazil		Zone		Defensive		Count		39		35		48		42		54		63		281
						Expected Count		50.7		46.2		45.2		49.3		45.5		44.2		281.0
				Mid-defensive		Count		60		44		31		48		36		40		259
						Expected Count		46.7		42.6		41.6		45.4		42.0		40.7		259.0
				Mid-offensive		Count		29		36		29		35		27		14		170
						Expected Count		30.6		28.0		27.3		29.8		27.5		26.7		170.0
				Offensive		Count		20		20		24		19		16		12		111
						Expected Count		20.0		18.3		17.8		19.5		18.0		17.4		111.0
				Total		Count	148		135		132		144		133		129		821

DISCUSSION

The primary objective of this study was to identify the patterns of ball recovery adopted by successful teams at 2014 World Cup. In fact, this study sought to detect the performance consistency of ball recovery in world elite soccer teams and introduce it as an indicator of the team success. To this end, the ball recovery frequency of each team was assessed over the 15-min courses in different field zones. Given that four teams of Germany, Argentina, the Netherlands, and Brazil had equal greatest frequency of matches, it was impractical to compare them with other teams. Hence, the performances of the four teams were evaluated as successful performances.

Results showed that the ball recovery performances of teams at semi-finals of the World Cup 2014 over the 15-min course as well as the first and second halves in individual games and the whole competition were not significantly different. Furthermore, performance of the four teams in terms of ball recovery was equal (χ²₃ =1.597, p=0.66). These findings are consistent with those on the success of teams at the World Cup 2010⁴. They also observed that the frequency of attacks carried out by teams in each match and the entire tournament was not significantly different, indicative of the consistency of team performance. In other words, the successful teams, regardless of the earned rank, maintained a stable rate of ball possession, which can be an indicator of success. In examining the soccer teams in Euro 2012, in which the finalists (Spain and Italy) had the greatest performance consistency during the tournament in the goal, defensive, and offensive related indicators¹⁵, it was concluded that teams’ success in international soccer depends on the consistency and stability of high-level performance, rather than good performance in one or more individual games. Analyzing the scored goals at three World Cups 1998, 2002, and 2006, revealed that in the 1998 and 2002 World Cups, most goals were scored in the second half, however, in FIFA 2006, there was no significant difference between the two halves²¹. Although this study did not focus on the scored goals, the comparison with the three World Cups revealed that coaches had found out, throughout the development of soccer, that the success of the sports teams is not only linked with technical and physical capabilities^22,23, but also with performance consistency over both halftimes. Thus, there would be no difference between the first and second halves. Coaches believe that ball recovery methods and strategies as connectors between the three most important moments of defense, transition, and offense are the most developed aspects of modern soccer²⁴. Hence, maintaining the rhythm and flow of such behavior would help the team dominate the match.

Distribution and positioning of the players on the field is a key performance indicator to assess the tactical behavior²⁵. This refers to the principle of space distribution^26,27 where the zone covered by each player in the length and width of the field can provide useful information on strategic decision making. Stability and consistency of ball recovery performance in the successful FIFA 2014 teams during various stages of the tournament and match time periods are associated with the arrangement of players by the coach and their space distribution. It is recommended that future studies focus on the relationship between space distribution and ball recovery performance factors in successful and unsuccessful teams.

When the assumption of independence between time periods and field zones was evaluated, the results for the Netherlands and Brazil were significant (X²₁₅ =31.29, p=0.008, Cramer’s V=0.117 andX²₁₅ =37.53, p=0.001, Cramer’s V=0.123, respectively). This means that certain times of the games played by the two teams involved more ball recovery and occurred in one zone as compared to others, suggesting that ball recovery of the two teams in different field zones over the match time was not consistent and stable. Both teams had the weakest ball recovery performance in the offensive zone, although the Netherlands had theirs in the first and second 15-min periods (first half) while that of Brazil was in the fifth and sixth 15-min periods (second half) (Table 4). Although all four teams in the semi-finals of the FIFA 2014 tournament showed stability and consistency of performance in whole competitions, the separation of team performance in different zones revealed that the ball recovery performance of the Netherlands and Brazil in the offensive zone was weaker than other teams, indicating an imbalance in the team power in four zones of the field. Although this study overlooked the effect of factors such as opponent quality and competition stage⁴, it appears that lack of equal distribution of elite players in different positions in Netherlands and Brazil teams, due to difference in fitness level and technical readiness of players^23,24, led to lack of integrative occurrence of the ball recovery and transition process of defense to offense over time. In confirmation of this, researchers observed that, regarding the failure of teams that could not qualify for the final of EURO 2012, other teams compared with the finalists Spain and Italy performed poorly and inconsistently with respect to the offensive and defensive indicators¹⁵.

From the analysis, most of the World Cup 2014 ball recoveries occurred in defensive and mid-defensive zones, and were consistent with the World Cup 2010⁴ and UEFA 2011-12⁹. Examination of the domestic leagues in Norway¹³ and Spain¹² confirm the results. In modern soccer, each offense is initially designed at the midfield and defensive lines, where the offense can be supported by an actively defensive organization²⁶. According to the concentration principle²⁷, when the team is in search of ball recovery, it actually falls in the defensive phase. In such a situation, the teammates pull together and protect the midfield zone. Hence, the main objective of any defensive action is to reduce the instability of the team in the key and sensitive zones²⁸. In other words, there should be a greater degree of ball recovery performance in the midfield zone. Thus, awareness of where the most effective ball recovery occurs in the field plays an important role in understanding the patterns of offense and improving the coach training sessions. A review of the World Cup 1998²⁹ and the top teams in Europe³⁰, revealed that most ball recoveries leading to goal chances were initiated from the offensive zone. This contradiction may be due to differences in the ability and tactics of teams in different tournaments.

CONCLUSIONS

The present study thus showed that consistency of ball recovery performance during time periods of a match and the whole tournament is one of the indicators of success in the World Cup teams. However, this factor can guarantee team success only when it is distributed across the entire field zones. This requires space distribution of experienced players on the field, leading to balance of power in all zones so as to redesign an offense. Following the concentration principle and designing of attacks from the midfield zones helps to improve the soccer team productivity. Overall, this study revealed that performance consistency in soccer teams can be an ideal factor that differentiates successful teams.

REFERENCES

• ¹
  Pratas J, Volossovitch A, Ferreira A. The effect of situational variables on teams’ performance in offensive. Open Sport Sci J 2012;5:193-99.
• ²
  Lago C. The influence of match location, quality of opposition, and match status on possession strategies. J Sports Sci 2009;27(13):1463-69.
• ³
  Lago C, Martín R. Determinants of possession of the ball in soccer. J Sport Sci 2007;25(9):969-74.
• ⁴
  Barreira D, Garganta J, Guimaraes P, Machado J, Anguera M. Ball recoverypatterns as a performance indicator in elite soccer. J Sports Engineering andTechnology 2014; 228(1):61-72.
• ⁵
  Ruiz-Ruiz C, Fradua L, Fernández-García A, Zubillaga A. Analysis of entries into the penalty area as a performance indicator in soccer. Eur J Sport Sci 2013;13(3):241-48.
• ⁶
  Castelo J. Futebol: a organizaca^~o do jogo. Lisboa: Edicao do autor; 1996.
• ⁷
  Grant A, Reilly T, Williams M, Borrie A. Analysis of the Goals Scored in the 1998 World Cup. Insight 1998;2(1):17-20.
• ⁸
  Carling C, Williams M, Reilly T. Handbook of soccer match analysis. London: Routledge; 2005.
• ⁹
  Almeida C, Ferreira A,Volossovitch A. Effects of Match Location, Match Status and Quality of opposition on regaining possession in UEFA champions ligue. J Human Kinet 2014;41:203-14.
• ¹⁰
  Grehaigne J, Marchall D, Duprat E. Regaining possession of the ball in thedefensive area in soccer. In: Spinks W, Reilly T, Murphy A, editors. Science and football IV. London: Routledge; 2002.
• ¹¹
  Machado J, Barreira D, Garganta J.The influence of match status on attacking. Rev Bras Cineantropom Desempenho Hum 2014;16(5):545-54.
• ¹²
  Lago-Ballesteros J, Lago-Peñas C, Rey E. The effect of playing tactics and situational variables on achieving score-box possessions in a professional soccer team. J Sport Sci 2012;30(14):1455-61.
• ¹³
  Tenga A, Holme I, Ronglan L, Bahr R. Effect of playing tactics on goal scoring in Norwegian professional soccer. J Sport Sci 2010;28(3):237-44.
• ¹⁴
  Camerino O, Chaverri J, Anguera M, Jonsson G. Dynamics of the game in soccer: Detection of T-patterns. Euro J Sport Sci 2012;12(3):216-24.
• ¹⁵
  Shafizadeh M, Taylor M, Lago Penas C. Performance Consistency of InternationalSoccer Teams in Euro 2012: a Time Series Analysis. J Hum Kinet 2013;38:169-77.
• ¹⁶
  Castellano J, Casamichana D, Lago-Penas C. The use of match statistics that discriminate between successful and unsuccessful soccer teams. J Human Kinet 2012;31:139-47.
• ¹⁷
  Lago-Penas C, Lago-Ballesteros J, Dellal A, Gomez M. Game-related statistics that discriminated winning, drawing and losing teams from the Spanish soccer league. J Sport Sci Med 2010;9:288-93.
• ¹⁸
  Taylor J, Mellalieu S, James N, Shearer D. The influence of match location, quality of opposition, and match status on technical performance in professional association football. J Sport Sci 2008;26(9):885-95.
• ¹⁹
  Gómez M., Gómez-Lopez M, Lago C, Sampaio J. Effects of game location and final outcome on game related statistics in each zone of the pitch in professional football. Eur J Sport Sci 2012;12(5):393-98.
• ²⁰
  Hughes M, Franks I. Notational Analysis of Sport: Systems for better coaching and performance in sport. London: Routledge; 2004.
• ²¹
  Armatas Y, Yiannakos A, Sileloglou P. Relationship between time and goalscoring in soccer games: Analysis of three world cups. Int J Perform Anal Sport 2007;7:48-58.
• ²²
  Mohr M, Krustrup P, Bangsbo J. Match performance of high-standard soccerplayers with special reference to development of fatigue. J Sports Sci 2003;21:519-28.
• ²³
  Sarmento H, Anguera M, Pereira A, Marques A, Campaniço J, Leitão J. Patterns of Play in the Counterattack of Elite Football Teams - A Mixed Method Approach.Int J Perform Anal Sport 2014;14:411-27.
• ²⁴
  Kannekens R, Elferink-Gemser M, Visscher C. Positioning and deciding: key factors for talent development in soccer. Scan J Med and Sci Spor 2011;21(6):846-52.
• ²⁵
  Folgado H, Lemmink K, Frencken W, Sampaio J. Length, width and centroid distance as measures of teams tactical performance in youth football. Eur J Sport Sci 2014;14(1):S487-S492.
• ²⁶
  Garganta J. Tactical modelling in Soccer: a critical view. In: Hughes M, Tavares F, editors. Proceeding of IV World Congress of Notational Analysis of Sport. Faculdade de Desporto da Universidade do Porto; 2001.
• ²⁷
  Costa I, Garganta J, Greco P, Mesquita I, Seabra A. Influence of Relative Age Effects and Quality of Tactical Behaviour in the Performance of Youth Football Players. Int J Perform Anal Sport 2010;10(2):82-97.
• ²⁸
  Bangsbo J, Peitersen B. Defensive Soccer Tactics: How to Stop Players and Teamsfrom Scoring. Champaign: Human Kinetics; 2002.
• ²⁹
  Kirkendall D, Dowd W, DiCicco T. Patterns of successful attacks: a comparison of men’s and women’s games in World Cups. Revista de Fútbol y Ciencia 2002;1(1):29-36.
• ³⁰
  Garganta J, Maia J, Basto F. Analysis of goal-scoring patterns in European top level soccer teams. In: Reilly T, Bangsbo J, Hughes M, editors. Science and Football III. E & FN Spon, London; 1997.

Publication Dates

• Publication in this collection
  Jan-Feb 2016

History

• Received
  13 Aug 2015
• Accepted
  08 Nov 2015