Original Research ARTICLE
Goal Scoring in Soccer: A Polar Coordinate Analysis of Motor Skills Used by Lionel Messi
- 1Motor Skills Observation Laboratory, National Institute of Physical Education, University of Lleida, Lleida, Spain
- 2Faculty of Sport, Centre of Research, Training, Innovation and Intervention in Sport, University of Porto, Porto, Portugal
- 3Social Psychology and Quantitative Psychology, Faculty of Psychology, University of Barcelona, Barcelona, Spain
Soccer research has traditionally focused on technical and tactical aspects of team play, but few studies have analyzed motor skills in individual actions, such as goal scoring. The objective of this study was to investigate how Lionel Messi, one of the world's top soccer players, uses his motor skills and laterality in individual attacking actions resulting in a goal. We analyzed 103 goals scored by Messi between over a decade in three competitions: La Liga (n = 74), Copa del Rey (n = 8), and the UEFA Champions League (n = 21). We used an ad-hoc observation instrument (OSMOS-soccer player) comprising 10 criteria and 50 categories; polar coordinate analysis, a powerful data reduction technique, revealed significant associations for body part and orientation, foot contact zone, turn direction, and locomotion. No significant associations were observed for pitch area or interaction with opponents. Our analysis confirms significant associations between different aspects of motor skill use by Messi immediately before scoring, namely use of lower limbs, foot contact zones, turn direction, use of wings, and orientation of body to move toward the goal. Studies of motor skills in soccer could shed light on the qualities that make certain players unique.
Numerous studies in soccer skills have provided evidence that elite soccer players are distinguished by their combination of physical (Reilly, 2003), technical (Bradley et al., 2013), perceptive, cognitive, and decision-making skills (Lee et al., 2007; Nevill et al., 2008; Roca et al., 2013; Sarmento et al., 2014; Furley and Memmert, 2015), with performance being even further enhanced by their ability to anticipate and react to different game situations (Bishop et al., 2013; Wallace and Norton, 2014). In optimal circumstances, such as playing on a team with a style of play that exploits individual qualities (Eys et al., 2007; Carling et al., 2008) and promotes team cohesion (Taylor and Bruner, 2012), players perform better both technically and tactically, thereby contributing to better overall performance and outcomes.
The analysis of numerous performance indicators (James et al., 2004; Tenga et al., 2010), such as contextual factors (Taylor and Bruner, 2012; Barreira et al., 2015), the occurrence of actions on different areas of the pitch (Lago-Ballesteros et al., 2012), and interactions between players (Wallace and Norton, 2014), has permitted a greater understanding of the dynamics of soccer (Duarte et al., 2012). Elite soccer players need to master both physical and technical skills to meet the ever-increasing tactical demands of soccer (Barreira et al., 2015). Furthermore, a greater use of defense strategies and the concentration of players in the midfield have narrowed the performance gap between teams (Wallace and Norton, 2014), facilitating recovery of possession and giving rise to more situations of numerical inferiority in the central path of the pitch (Barreira et al., 2014).
The above factors have all contributed to an increased demand for motor skill versatility among strikers, as players with a mastery of these skills are able to process information faster and react to changing game situations (Lee et al., 2007; Bishop et al., 2013; Memmert et al., 2013; Wallace and Norton, 2014). They are also more likely to become creative agents for the team by generating original responses (Weigelt and Memmert, 2012; Furley and Memmert, 2015). Strikers need to be multi-skilled and acquire techniques and physical qualities specific to their positional roles (Metikoš et al., 2003; Sheppard and Young, 2006). The biomechanics underpinning these multifaceted skills are essential for executing soccer moves, such as, changes of direction (body), axial movements (turns and pivots), and symmetrical and asymmetrical limb actions (Dörge et al., 2002; Velotta et al., 2011). These mechanics of movement are also associated with the effectiveness of actions such as anticipatory moves by kickers and goalkeepers (Weigelt and Memmert, 2012).
Laterality is also relevant in the use of motor skills (Vallortigara, 2006; Loffing et al., 2015). The term laterality refers not only to a person's preference for one side of their body (hands, feet, senses, etc.), but also to how they use and orientate their body in space (Castañer et al., 2012). For example, if we want to perform a precision action with our dominant right leg, we will use our left leg to support our body as it turns to the left. Teixeira and Paroli (2000) claim that lateral asymmetries of performance in adults is manifested through a greater use of the dominant limb, particularly for complex motor actions (such as shooting), and that preference for one side of the body over the other appears to be largely determined by use, habit, and confidence. Castañer et al. (2012) used the term mastering lateral synergy to refer to an athlete's ability to combine the precision of his/her dominant limb with the stability offered by the other non-dominant limb. Changes in body orientation require stability, particularly in sports such as soccer, which has increased in intensity in recent decades (Di Salvo et al., 2007). Teixeira et al. (2011) noted that stabilization was a fundamental component of performance, as a stable base minimizes variability in execution of movements, and confirmed that compared with non-soccer players, soccer players show a greater preference for use of their non-dominant leg for stability purposes. Several studies have reported that soccer players' left-right preferences can be explained by the functional advantage gained by using their dominant leg (Dörge et al., 2002; Nunome et al., 2006). Thus, laterality allows soccer players to exercise precise control over their movements, which is also an important indicator of performance quality (Teixeira et al., 2011). Kicking direction is also influenced by laterality, and is one of the factors that has been evaluated in studies of goal-side selection in penalty kicking (Weigelt and Memmert, 2012).
The study of motor skills in elite players is still largely based on subjective judgments (see e.g., Duch et al., 2010), but given the importance of these skills, we believe they are worthy of objective, scientific analysis. Lionel Messi, for example, is considered to be a highly skilled player. Regarded as one of the world's best-ever players, he holds numerous goal records and individual awards, including five FIFA Ballons d'Or, three European Golden Shoes, and FIFA World Player of the Year. Soccer experts, such as managers, coaches, and athletic trainers, largely attribute Messi's extraordinary achievements to his motor skills, i.e., to skills built on complex intentional actions (Fry et al., 2014; Murgia et al., 2014; Schaefer, 2014). Nonetheless, these expert opinions are largely based on subjective judgment. The use of motor skills in each soccer action (ball control, dribbling, feints, volleys, shots) joint to lower limb dominance (McGrath et al., 2015) enables players to create opportunities and respond effectively to the task-specific (Velotta et al., 2011) of the game. These aspects, however, remain to be studied through an objective lens, and the current dynamics of soccer calls for research into how elite players use specific motor skills (Murgia et al., 2014) and, in particular, into which patterns of use result in successful outcomes (e.g., goals). The aim of this study was to objectively analyze how, independently of the tactical context of the match, Messi uses his motor skills to resolve game situations just after receiving a pass and just before scoring a goal
We chose an observational methodology design for the purpose of our study, as this method has proven effective in the analysis of attacking play in soccer (Jonsson et al., 2006; Camerino et al., 2012b; Lapresa et al., 2013) and of motor skills in physical activity and sport (Castañer et al., 2009; Camerino et al., 2012a). We employed an I/S/M design (Blanco-Villaseñor et al., 2003), where I refers to idiographic (focusing on a single player, Messi), S refers to intersessional follow-up (recording of numerous matches) and intrasessional follow-up (continuous recording of specific moves), and M refers to multidimensional (analysis of multiple criteria, or levels of response, using a purpose-designed observation instrument).
One hundred and three goals scored by Messi were analyzed; each goal sequence was observed from the moment Messi last received a pass to the moment he took a shot that resulted in a goal. The sequences were analyzed using video footage from public television broadcasts. The 103 goals were scored over a decade (2004–2014) in the UEFA Champions League (n = 21), the Spanish premier league La Liga (n = 74), and Copa del Rey (n = 8). The goal inclusion criteria were a) clear observability of each sequence (Anguera, 2003) and (b) availability of at least two recordings of each sequence from a different angle. The exclusion criteria were (a) recordings that, while clear, did not allow for coding of the sequences and (b) goals scored directly following receipt of the ball. The ethical requirements of observational methodology were applied to the current study and evaluated positively by the ethics committee and therefore performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki.
The goal sequences were observed using a observation instrument called OSMOS-soccer player, which includes motor skills–related criteria from the OSMOS instrument (Motor Skills Observation System) (Castañer et al., 2009) and contextual and technical criteria from the SOF5 instrument (Football Observational System) (Camerino et al., 2012b). OSMOS-soccer player contains 10 exhaustive category systems (criteria) and 50 mutually exclusive categories distributed within each criterion (Table 1). The first 7 criteria relate to motor skills, while the last 3 relate to the pitch surface and number of defenders Messi beats before scoring.
The Body Part criterion refers to the part of the player's body that comes in contact with the ball. The Foot Contact Zone criterion is recorded as Tip (TI) when the player touches the ball with his toe and as Outside (OU) or Inside (IN) when he touches it with the outer or inner surface of his foot. Body Orientation refers to the angle of the player's body with respect to the goal line when he has control of the ball. There are four categories: facing goal (FR), back to goal (BT), facing right (OR), and facing left (OL; Figure 1A). Turn Direction refers to the direction in which the player turns, while Pivot Foot refers to the foot the player keeps on the ground while turning on one leg. The Locomotion criterion refers to the number of steps the player takes between each touch of the ball. The Action criterion refers to common technical actions, such as control, dribbling, and feints. Number of Opponents refers to the number of defenders that the striker passes during the sequence analyzed (in our case, from the moment Messi received the last pass to the moment he scored a goal). Finally, Zone (criterion adapted from the SOF5 observation system; Jonsson et al., 2006; Camerino et al., 2012b) and Side are used to position the player on the pitch (see Figure 1B for zones). When the player is positioned between two zones on touching the ball, the zone to which he is moving is recorded.
Figure 1. (A) Body orientation angles, with the center circle representing the player's body. FG indicates facing goal; BT, back to goal; OL, facing left side line; OR, facing right side line. (B) Division of pitch into zones. LW, indicates left wing; CL, left midfield; CR, right midfield; RW, right wing: UOO, ultraoffensive zone 1; UOT, ultraoffensive zone 2; OFF, offensive zone; CEN, central zone.
Each goal sequence was analyzed from the moment Messi received the last pass to the moment he shot the ball and scored. The sequences were analyzed by an expert in soccer (a national coach) and an expert in motor skills analysis (a professor from our university), following appropriate training in the use of OSMOS-soccer player using 35 video recordings of goals not included in the sample. Considering that the goal sequences analyzed contained no more than 10 actions and we had two clear recordings of each sequence from different angles, we believe that intraobserver reliability was guaranteed. The recording instrument was LINCE (Gabín et al., 2012) and kappa value for interobserver reliability for the training set (analyzed with LINCE) was 0.92.
Three additional programs were used: (a) GSEQ v5.1.15 (Bakeman and Quera, 2011) to perform a preliminary exploratory analysis of the data, which, consistent with the multidimensional nature of the study were type II data (concurrent, event-based data) (Bakeman and Quera, 1992); (b) HOISAN v126.96.36.199 (Hernández-Mendo et al., 2014), used to perform lag sequential analysis of behaviors with significant associations detected by GSEQ, followed by polar coordinate analysis; and (c) STATGRAPHICS Centurion, v16, a general statistical software package we used to compare proportions.
Given the large number of codes in the observation instrument, exploratory lag sequential analysis was performed using the multievent data feature in GSEQ v5.1.15 (Bakeman and Quera, 2011; Lapresa et al., 2013) to select categories with significant associations; we included a sufficient number of positive lags (+1 to +5) and negative lags (−1 to −5) to ensure the selection of codes known to be significantly associated (Table 2).
HOISAN was subsequently used to perform lag sequential analysis of the given and conditional behaviors shown in Table 2. The adjusted residual values obtained in the lag sequential analysis (excitatory and inhibitory actions) were then subjected to polar coordinate analysis (Sackett, 1980). Both prospective (0 to +5) and retrospective (0 to −5) lags were considered. The resulting polar coordinate maps show the associations between each focal behavior (as given behaviors are known in polar coordinate analysis) and all the conditional behaviors analyzed (represented as vectors through the Zsum parameter). The interpretation of these associations varies according to the quadrant in which they are located. Figure 2 provides a graphical explanation of how to interpret the associations between given and conditional behaviors depending on the quadrant in which they are located. In brief, the given behavior is shown as focal behavior in the center of each vector map and the conditional behaviors are located in one of four quadrants. Quadrant I indicates that the focal and conditional behaviors are mutually activated; quadrant II indicates that the focal behavior inhibits the conditional behaviors but is also activated by them; quadrant III indicates that the focal and conditional behaviors are mutually inhibited; and quadrant IV indicates that the focal behavior activates the conditional behaviors but is also inhibited by them. STATGRAPHICS Centurion, v16 was used to explore additional associations between significant categories.
Figure 2. Graphic depiction of relationships between conditional and given behaviors in polar coordinate maps according to quadrant in which vector is located.
Polar Coordinate Analysis
The polar coordinate maps in Figure 3 show the statistically significant associations (activation or inhibition) between the focal and conditional behaviors. The association is shown both quantitatively (length of vector) and qualitatively (quadrant I, II, III, or IV).
Six polar coordinate maps were obtained (Figure 3). The focal behavior was related to body part use in three cases and body orientation in the other three cases.
We will briefly discuss the vectors with a length of >1.96 (P < 0.05) representing associations between activations of focal and other behaviors in each map.
In Map 1, there is mutual activation between Messi's use of his right foot (RF) and the outer part of his feet (OU). In addition, this use of his right foot is activated by his facing right (OR) but activates his facing the goal line (FG). Map 2 is directly related to the first map, i.e., Messi's use of his right foot (RF) and the outside of his feet (OU) are mutually activated, but in addition OU activates his facing left (OL). Map 3 shows mutual activation between Messi's use of his chest (CH) and a displacement of more than five steps (MOR). In Map 4, Messi's position when his back is turned to the goal line (BT) is activated by his facing the goal line (FG). As we can see in Map 5, this last position (FG) activates and is activated by his facing right (OR) and is also activated by the use of his right foot (RF), as seen in Map 1. Finally, Map 6 shows mutual activation between Messi's use of his facing left (OL) and the outer part of his feet (OU), which, in turn, is activated by both having his back to the goal line (BT) and turning to the right (RT).
Comparison of Proportions
Table 3 shows the results for the comparison of proportions analysis between pairs of significant behaviors.
Table 3. Comparison of statistically significant proportions between criteria from the OSMOS-soccer player system.
We used polar coordinate analysis, a powerful data reduction technique, to analyze how Lionel Messi uses his motor skills to score goals. We applied the analysis to datasets compiled using a purpose-designed observation instrument, OSMOS-soccer player, comprising 10 broad observational criteria. Seven of the criteria were specifically related to motor skills while the other three were related to external aspects (number of opponents and use of pitch) that might influence actions prior to goal scoring (Jonsson et al., 2006; Lago-Ballesteros et al., 2012; Taylor and Bruner, 2012; Barreira et al., 2014). Our findings show that the number of defenders Messi had to beat before scoring a goal after receiving a pass had no direct influence on goals scored. We believe that this lack of influence is due to the fact that we only analyzed two lags (i.e., events) immediately before a shot at goal. The other nine criteria were significantly associated with goal scoring according to both the polar coordinate and comparison of proportions analyses.
We have structured the rest of the discussion into sections organized by the criteria in OSMOS-soccer player and conclude each section with a discussion of how coaches could incorporate these findings into their practices
Body Contact with the Ball
Messi uses his left foot significantly more than his right foot to score goals (P < 0.001; Table 3), which is to be expected considering he is left-footed (Fry et al., 2014). Most soccer players are right-footed (Teixeira and Paroli, 2000; Carey et al., 2001; Bloomfield et al., 2007), and use this dominant foot to receive the ball regardless of playing position (Bloomfield et al., 2007). Just a small proportion of soccer players have been found to use both feet with equal effectiveness and skill. Numerous studies have reported that soccer players' left-right preferences can be explained by the functional advantage gained by using their dominant leg. This advantage has been noted for kicking speed (Dörge et al., 2002; Nunome et al., 2006) and complex actions, such as force and direction control in juggling and dribbling, movement timing to trap an approaching ball, and power and accuracy to kick a static or a moving ball (Teixeira and Paroli, 2000; Weigelt and Memmert, 2012). Messi also shows versatility and adaptability in that he uses his right foot when necessary. According to Wallace and Norton (2014), use of the non-preferred foot is a distinguishing feature of elite soccer players that allows them to resolve certain game situations. Coaches should bear in mind that left-footed strikers frequently use their right foot and leg and angle their body to the right to draw defenders away from the left, allowing them to then angle their body to the left and move forward with their left foot, as evidenced in polar coordinate maps 1 and 2.
Foot Contact with the Ball
As shown in the first two polar coordinate maps (Figure 3), Messi uses the outside of his right foot while angling his body to the right (map 1). We presume that he may do this to protect the ball from defenders between him and the goal and to create more space and a wider angle to the left. This would explain why the polar coordinate analysis (map 2) showed that Messi's use of his right foot was inhibited by his facing the goal line or the left wing. This observation is further supported by the significant differences detected in the comparison of proportions analysis between use of the outside and inside of the foot (P < 0.001) and between angling of the body toward the right and left (P < 0.001) (Table 3). Fry et al. (2014) recently reported that Messi benefits from being left-footed. Polar coordinate map 2 shows that the outer and inner part of Messi's feet are mutually inhibited; the vector representing use of the inside of his feet, however, is almost always in quadrant II, indicating that this activates the use of the outer part of this foot. We believe that this shows that coaches should, particularly in situations when players are looking to open up spaces between the defenders to the goal line, use the outer part of their foot to gain more speed and be able to move forward more freely, and that they alternate this with the use of the inner part of the foot between touches of the ball. In other words, at least in the case of Messi, the player uses the inside of his foot to control the ball followed by the outside to move forward.
Body Angle toward Goal Line
As stated by Castañer et al. (2012, p. 133), “postural support enables stasis and blocks movement, which allows the zone involved in gestural precision to execute the dynamics of the corresponding motor action.” We observed this quality in Messi (map 4), as when he had his back to the goal, he turned on his right leg, leaving his left leg to execute the action with greater precision. Laterality, however, does not only refer to left-right preference (Velotta et al., 2011; McGrath et al., 2015), but also to how players orientate their bodies spatially (Castañer et al., 2012; Loffing et al., 2015). Polar coordinate maps 5 and 6 show how Messi tends to angle his body toward the right with respect to the goal line, frequently moving from right to left to create scoring opportunities. In this respect, we also detected significant differences between use of the right wing and use of the right and left midfield areas (P < 0.001; Table 3). We believe that Messi's facing the goal line inhibited his facing left (map 5), because when he would have a narrower shooting angle from the left wing. This mutual inhibition between the left wing and goal line is confirmed in map 6. Coaches could advise left-footed strikers on two crucial aspects regarding body orientation: (a) when facing the goal line, they should immediately angle their body to the right to open up space to use their dominant left leg (map 5); (b) they should angle their body to the left to force defenders to follow them, and then move rapidly to the right, with their body facing the right wing to subsequently create space on the left to take a shot with their left foot. The ultimate aim to make the most of left-footed strikers by ensuring that they become skilled in the use of both legs to dribble, control, and shoot the ball.
Turn Direction and Pivot Foot
When Messi receives the ball and sees an open space several meters ahead, he uses short touches out of reach of his defender to rapidly work his way through the defense. To do this, he also slightly varies the angle of his body, demonstrating his mastery in zig-zag sprinting, a technique that has been reported as necessary for scoring (Metikoš et al., 2003). Messi's use of left turns and pivots and changes of direction also produced associations in the polar coordinate analysis and provides objective data to support the perception that Messi changes direction frequently. Bloomfield et al. (2007) reported that Premier League players in the 2003–2004 season made a mean of 725 ± 203 turns and pivots per match, highlighting the importance of agility in modern-day soccer, particularly in terms of facilitating changes of direction (558 per match). We obviously observed fewer of movements of this type, as we only analyzed sequences of play immediately preceding goals. Our data thus confirm that turns and pivots (ranging from 180° to 360°) are not common in these situations, but that constant switches between right and left angles are. Coaches should advise strikers that to avoid a defender coming toward them, they should look for other paths, while securing the ball, but that to do this, they do not need to turn their body completely but rather give the sensation that they are going to do this in search of new spaces, thereby tricking the defense and creating a more dynamic attack.
As soccer actions are not isolated, players who move forward while in possession of the ball need to have a wide set of motor skills that permit them to link these actions and take steps while moving the ball forward. Messi occasionally uses other parts of his body, for example, his chest to control the ball in the air. This movement occured in sequences involving several steps (map 3). Locomotor skills, in particular, are an important skill set in this regard and can help soccer players meet the increasing demands for a combination of tactical, technical, and decision-making skills (Lee et al., 2007; Bishop et al., 2013; Murgia et al., 2014; Wallace and Norton, 2014; Furley and Memmert, 2015), and versatility (Memmert et al., 2013; Roca et al., 2013). Running distance covered by players in possession of the ball has increased over the past 25 years, from 1.1% of total distance (Withers et al., 1982) to 1.2–2.4% (Di Salvo et al., 2007). Our results for Messi are consistent with this increase in movement with the ball. Although Messi preferentially takes one or three steps, all the number of steps he took between each touch of the ball (1–5) were significantly associated with goal scoring (P < 0.001) (Table 3). This mastery of locomotor skills allows Messi to achieve considerable speed, while maintaining control and possession of the ball. It should be recalled that Messi is a multidisciplinary player, who has proven particularly effective when placed in the false striker position, in the midfield area. In this respect, we observed that Messi covered considerable distances while in possession of the ball, which is consistent with the report by Bradley et al. (2013) that strikers make fewer passes than defenders and midfielders (22.2 ± 9.6 vs. 30.4 ± 13.4) and are also less successful with these passes (78.1 vs. 78.6%). Coaches should encourage skilled strikers such as Messi to receive the ball and cover distances in the midfield to draw the defenders out of this area and force a high back line.
Use of Pitch Sides and Zone
Our results confirm that Messi is highly versatile in his use of motor skills and adapts the use of his lower limbs to angle his body with respect to the goal line. To do this, he obviously also needs to be able to take quick, versatile decisions, generating original responses (Furley and Memmert, 2015). This ability is supported by our observation that he tends to occupy the right midfield and right wing more often than the other parts of the pitch (P < 0.001) (Table 3) as he moves toward the goal, as this would logically afford him a better angle from which to shoot with his left foot. Messi's case is particularly interesting because even though he is left-footed, our analysis confirms he tends to move to the right wing and the midfield to give him room to create. This brings us to a basic yet crucial aspect for coaches, i.e., the importance of positioning other attackers so that they do not occupy the spaces in which a skilled striker is particularly effective. Coaches should also encourage strikers with similar skills to Messi to move toward the offensive zone to draw a foul or take advantage of a defensive slip-up to move into the ultraoffensive zone (Figure 1B), where they will have more opportunities to score or assist in a goal. Such players are particularly valuable in counterattacks.
In sum, Messi's success may in part be due to the fact that defenders are less used to marking left-footed players and strikers pose a triple threat in that they can pass, dribble past opponents, and shoot. Understanding, from a more objective perspective, how players use their motor skills in sequences of actions immediately preceding a goal is crucial for two profiles of coaches: (a) coaches of teams who have to defend a highly skilled striker, as they will be able to better advise their defenders on positioning, and (b) coaches of players with motor skill profiles (Castañer et al., 2009) similar to those of Messi, as they will be able to guide them on how best to angle and use different parts of their body, exploit the necessary areas of the pitch, and throw the defense off balance.
Conclusions and Future Lines of Study
The aim of this study was to analyze how Messi uses motor skills to resolve game situations just before scoring a goal, regardless of the tactical context of the match. In the discussion section, we have indicated which aspects of our study may be of use to coaches. There are also learning opportunities for sports scientists, as we have shown that an observational methodology such as the one we employed, which includes powerful techniques such as polar coordinate analysis, could provide objective data to complement subjective judgments of motor skill use. Future studies could investigate the use of motor skills by different players in different game situations. It would be particularly interesting to measure the speed with which different actions occur. We did not do this, but we did (subjectively) notice that part of Messi's “magic” appears to be related to his changes of speed, with alternations between fast and slow movements when turning or angling his body to slip his defenders. Studies focusing on motor skill management could provide interesting and complementary insights into technical and tactical aspects of soccer.
MC developed the project, supervised the design of the study and the drafting of the manuscript. DB was responsible for the review of the literature and the drafting of the manuscript. OC was responsible for the data collection/handling and revised the content critically. MA performed the polar coordinate analysis and the method section. AC and RH collected and analyzed the data and supervised the drafting of the manuscript. All authors approved the final, submitted version of the manuscript.
We gratefully acknowledge the support of two Spanish government projects (Ministerio de Economía y Competitividad): (1) La actividad física y el deporte como potenciadores del estilo de vida saludable: Evaluación del comportamiento deportivo desde metodologías no intrusivas [Grant number DEP2015-66069-P]; (2) Avances metodológicos y tecnológicos en el estudio observacional del comportamiento deportivo [PSI2015-71947-REDP]; and the support of the Generalitat de Catalunya Research Group, GRUP DE RECERCA I INNOVACIÓ EN DISSENYS (GRID). Tecnología i aplicació multimedia i digital als dissenys observacionals [Grant number 2014 SGR 971].
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
The reviewer EC and handling Editor declared their shared affiliation, and the handling Editor states that the process nevertheless met the standards of a fair and objective review.
Barreira, D., Garganta, J., Castellano, J., Machado, J., and Anguera, M. T. (2015). How elite-level soccer dynamics has evolved over the last three decades? Input from generalizability theory. Cuad. Psic. Dep. 15, 51–62. doi: 10.4321/S1578-84232015000100005
Barreira, D., Garganta, J., Guimarães, P., Machado, J., and Anguera, M. T. (2014). Ball recovery patterns as a performance indicator in elite soccer. Proc. Inst. Mech. Eng. P J. Sports Eng. Technol. 228, 61–72. doi: 10.1177/1754337113493083
Blanco-Villaseñor, A., Losada, J. L., and Anguera, M. T. (2003). Data analysis techniques in observational designs applied to the environment-behaviour relation. Medio Ambient. Comport. Hum. 4, 111–126.
Bradley, P. S., Carling, C., Gómez-Díaz, A., Hood, P., Barnes, C., Ade, J., et al. (2013). Match performance and physical capacity of players in the top three competitive standards of English professional soccer. Hum. Movement Sci. 32, 808–821. doi: 10.1016/j.humov.2013.06.002
Carey, D. P., Smith, G., Smith, D. T., Shepherd, J. W., Skriver, J., Ord, L., et al. (2001). Footedness in world soccer: an analysis of France ‘98. J. Sport. Sci. 19, 855–864. doi: 10.1080/026404101753113804
Carling, C., Bloomfield, J., Nelsen, L., and Reilly, T. (2008). The role of motion analysis in elite soccer: contemporary performance measurement techniques and work rate data. Sports Med. 38, 839–862. doi: 10.2165/00007256-200838100-00004
Castañer, M., Andueza, J., Sánchez-Algarra, P., and Anguera, M. T. (2012). Extending the analysis of motor skills in relation to performance and laterality, in Mixed Methods Research in the Movement Sciences: Case Studies in Sport, Physical Education and Dance, eds O. Camerino, M. Castañer, and M. T. Anguera (Abingdon: Routledge), 119–145.
Castañer, M., Torrents, C., Anguera, M. T., Dinušová, M., and Jonsson, G. K. (2009). Identifying and analyzing motor skill responses in body movement and dance. Behav. Res. Methods 41, 857–867. doi: 10.3758/BRM.41.3.857
Di Salvo, V., Baron, R., Tschan, H., Calderón-Montero, F. J., Bachl, N., and Pigozzi, F. (2007). Performance characteristics according to playing position in elite soccer. Int J. Sports Med. 28, 222–227. doi: 10.1055/s-2006-924294
Dörge, H. C., Andersen, T. B., Sørensen, H., and Simonsen, E. B. (2002). Biomechanical differences in soccer kicking with the preferred and the non-preferred leg. J. Sport. Sci. 20, 293–299. doi: 10.1080/026404102753576062
Duarte, R., Araújo, D., Davids, K., Travassos, B., Gazimba, V., and Sampaio, J. (2012). Interpersonal coordination tendencies shape 1-vs-1 sub-phase performance outcomes in youth soccer. J. Sport. Sci. 30, 871–887. doi: 10.1080/02640414.2012.675081
Furley, P., and Memmert, D. (2015). Creativity and working memory capacity in sports: working memory capacity is not a limiting factor in creative decision making amongst skilled performers. Front. Psychol. 6:115. doi: 10.3389/fpsyg.2015.00115
Hernández-Mendo, A., Castellano, J., Camerino, O., Jonsson, G., Blanco-Villaseñor, A., Lopes, A., et al. (2014). Observational software, data quality control and data analysis. Rev. Psicol. Deporte 23, 111–121.
James, N., Jones, P. D., and Mellalieu, S. D. (2004). Possession as a performance indicator in soccer as a function of successful and unsuccessful teams. J. Sport. Sci. 22, 507–508. doi: 10.1080/02640410410001675423
Jonsson, G. K., Anguera, M. T., Blanco-Villaseñor, A., Losada, J. L., Hernández-Mendo, A., Ardá, T., et al. (2006). Hidden patterns of play interaction in soccer using SOF-CODER. Behav. Res. Methods 38, 372–381. doi: 10.3758/bf03192790
Lago-Ballesteros, J., Lago-Peñas, C., and Rey, E. (2012). The effect of playing tactics and situational variables on achieving score-box possessions in a professional soccer team. J. Sport. Sci. 30, 1455–1461. doi: 10.1080/02640414.2012.712715
Lapresa, D., Arana, J., Anguera, M. T., and Garzón, B. (2013). Comparative analysis of sequentiality using SDIS-GSEQ and THEME: a concrete example in soccer. J. Sport. Sci. 31, 1687–1695. doi: 10.1080/02640414.2013.796061
Lee, M. J., Whitehead, J., and Ntoumanis, N. (2007). Development of the attitudes to moral decision-making in youth sport questionnaire (AMDYSQ). Psychol. Sport Exerc. 8, 369–392. doi: 10.1016/j.psychsport.2006.12.002
Loffing, F., Solter, F., Hagemann, N., and Strauss, B. (2015). Accuracy of outcome anticipation, but not gaze behavior, differs against left- and right-handed penalties in team-handball goalkeeping. Front. Psychol. 6:1820. doi: 10.3389/fpsyg.2015.01820
McGrath, T. M., Waddington, G., Scarvell, J. M., Ball, N. B., Creer, R., Woods, K., et al. (2015). The effect of limb dominance on lower limb functional performance - a systematic review. J. Sport. Sci. 34, 289–302. doi: 10.1080/02640414.2015.1050601
Memmert, D., Hüttermann, S., and Orliczek, J. (2013). Decide like Lionel Messi! The impact of regulatory focus on divergent thinking in sports. J. Appl. Soc. Psychol. 43, 2163–2167. doi: 10.1111/jasp.12159
Murgia, M., Sors, F., Muroni, A. F., Santoro, I., Prpic, V., Galmonte, A., et al. (2014). Using perceptual home-training to improve anticipation skills of soccer goalkeepers. Psychol. Sport Exerc. 15, 642–648. doi: 10.1016/j.psychsport.2014.07.009
Nunome, H., Ikegami, Y., Kozakai, R., Apriantono, T., and Sano, S. (2006). Segmental dynamics of soccer instep kicking with the preferred and non-preferred leg. J. Sport. Sci. 24, 529–541. doi: 10.1080/02640410500298024
Roca, A., Ford, P. R., McRobert, A. P., and Williams, A. M. (2013). Perceptual-cognitive skills and their interaction as a function of task constraints in soccer. J. Sport Exerc. Psychol. 35, 144–155.
Sackett, G. P. (1980). Lag sequential analysis as a data reduction technique in social interaction research, in Exceptional Infant: Psychosocial Risks in Infant-Environment Transactions, Vol. 4, eds D. B. Sawin, R. C. Hawkins, L. O. Walker, and J. H. Penticuff (New York, NY: Brunner-Mazel), 300–340.
Sarmento, H., Marcelino, R., Anguera, M. T., Campaniço, J., Matos, N., and Leitâo, J. C. (2014). Match analysis in football: a systematic review. J. Sport. Sci. 32, 1831–1843. doi: 10.1080/02640414.2014.898852
Teixeira, L. A., Oliveira, D. L., Romano, R. G., and Correa, S. C. (2011). Leg preference and interlateral asymmetry of balance stability in soccer players. Res. Q. Exerc. Sport 82, 21–27. doi: 10.1080/02701367.2011.10599718
Tenga, A., Holme, I., Ronglan, L. T., and Bahr, R. (2010). Effect of playing tactics on achieving score-box possessions in a random series of team possessions from Norwegian professional soccer matches. J. Sport. Sci. 28, 245–255. doi: 10.1080/02640410903502766
Wallace, J. L., and Norton, K. I. (2014). Evolution of World Cup soccer final games 1966-2010: game structure, speed and play patterns. J. Sci. Med. Sport 17, 223–228. doi: 10.1016/j.jsams.2013.03.016
Keywords: soccer, goal scoring, motor skills, polar coordinate analysis, laterality
Citation: Castañer M, Barreira D, Camerino O, Anguera MT, Canton A and Hileno R (2016) Goal Scoring in Soccer: A Polar Coordinate Analysis of Motor Skills Used by Lionel Messi. Front. Psychol. 7:806. doi: 10.3389/fpsyg.2016.00806
Received: 15 March 2016; Accepted: 13 May 2016;
Published: 27 May 2016.
Edited by:Adam Robert Nicholls, University of Hull, UK
Reviewed by:Ed Cope, University of Hull, UK
Maurizio Casarrubea, University of Palermo, Italy
Gudberg Konrad Jonsson, University of Iceland, Iceland
Copyright © 2016 Castañer, Barreira, Camerino, Anguera, Canton and Hileno. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Marta Castañer, email@example.com