Analysis of Successful Offensive Play Patterns by the Spanish Soccer Team

Amatria, Mario; Maneiro, Rubén; Anguera, M. Teresa

doi:10.2478/hukin-2019-0011

Cited by 15 publications

(15 citation statements)

References 22 publications

(27 reference statements)

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“…Secondly, the bivariate analysis has confirmed that winning or successful teams perform significantly more possessions of the ball than unsuccessful or loser teams. These results seem to coincide with previous studies in men's football (Casal et al, 2017;Amatria et al, 2019a), although the results should still be taken with caution since the results are still inconclusive (Jones et al, 2004;.…”

Section: Discussionsupporting

confidence: 90%

“…On the other hand, the results suggest that the tactical intention to progress or preserve is also significantly influenced by the match status in unsuccessful teams. This is something of value from a tactical point of view, because one of the most important decisions that teams must make when recovering the ball is whether to keep the same, by means of a gradual construction of the attack, or to progress directly toward the rival goal (Casal et al, 2017;Amatria et al, 2019a). As long as they opt for one option or another, in unsuccessful teams this will have a very important impact on the ball possession depending on whether it is winning, drawing, or losing.…”

Section: Discussionmentioning

confidence: 99%

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The Influence of Match Status on Ball Possession in High Performance Women’s Football

et al. 2020

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The objective of this study was to examine the effect of the situational match status variable on the ball possession of the teams that participated in the 2015 FIFA Women's World Cup. The 52 games played during the championship have been collected, and 3,740 ball possessions made by the teams were analyzed. The teams have been divided into successful and unsuccessful. Three types of analysis have been carried out: a univariate analysis for both groups with the categorical and continuous variables selected; a bivariate analysis, using chi-square tests and the exact Fischer test; and finally, a multivariable technique such as the decision trees was incorporated. The available results show significant differences between the two groups considered. Specifically, there are significant differences between winning and losing teams in terms of match status. The results of the post hoc test have shown that unsuccessful teams make few ball possessions with a winning match status, most of the possessions are performed when they are losing. Instead, successful teams make more possessions when they are winning than when they are losing. Also, spend more time keeping the ball in their offensive zone, and completing a greater number of passes in it. The results of the decision tree identified that the unsuccessful teams have more ball possessions in forward and middle lines with a draw during the first half, while in the second, a large percentage of possessions are made with an unfavorable match status. Instead, the successful teams have more ball possessions in the first part with a draw, while in the second it happens with a favorable match status.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

The Influence of Match Status on Ball Possession in High Performance Women’s Football

et al. 2020

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“…As a general profile, the differences seem to indicate that LFBs are players who develop less combination play, although they have much more finishing and verticality. These results are in line with those described by Amatria et al., 39 who identified right-wing players with a recovery profile and left-wing players with an offensive profile. In the case of the left-wing players, they use one touch to develop walls, as well as dribbling as a means to overcome the defensive lines.…”

Section: Discussionsupporting

confidence: 93%

In-game behaviour analysis of football players using machine learning techniques based on player statistics

García-Aliaga

Marquina

Coterón

et al. 2020

International Journal of Sports Science & Coaching

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The purpose of this research was to determine the on-field playing positions of a group of football players based on their technical-tactical behaviour using machine learning algorithms. Each player was characterized according to a set of 52 non-spatiotemporal descriptors including offensive, defensive and build-up variables that were computed from OPTA’s on-ball event records of the matches for 18 national leagues between the 2012 and 2019 seasons. To test whether positions could be identified from the statistical performance of the players, the dimensionality reduction techniques were used. To better understand the differences between the player positions, the most discriminatory variables for each group were obtained as a set of rules discovered by RIPPER, a machine learning algorithm. From the combination of both techniques, we obtained useful conclusions to enhance the performance of players and to identify positions on the field. The study demonstrates the suitability and potential of artificial intelligence to characterize players' positions according to their technical-tactical behaviour, providing valuable information to the professionals of this sport.

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“…The quantitative data of the viewing sessions were entered into a free LINCE software package. LINCE software, only available to Windows operating system, is commonly used to analyse behaviour in sports [ 21 , 22 , 23 ] and allows simultaneous viewing and recording of behaviours while watching videos on a computer screen. The software also allows data to be exported in different formats for analysis.…”

Section: Methodsmentioning

confidence: 99%

The Visible Behaviour of Drowning Persons: A Pilot Observational Study Using Analytic Software and a Nominal Group Technique

Carballo‐Fazanes

Bierens

2020

IJERPH

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Although drowning is a common phenomenon, the behaviour of drowning persons is poorly understood. The purpose of this study is to provide a quantitative and qualitative analysis of this behaviour. This was an observational study of drowning videos observed by 20 international experts in the field of water safety. For quantitative analysis, each video was analysed with Lince observation software by four participants. A Nominal Group Technique generated input for the qualitative analysis and the two principal investigators conducted a post-hoc analysis. A total of 87.5% of the 23 videos showed drowning in swimming pools, 50% of the drowned persons were male, and 58.3% were children or teenagers. Nineteen persons were rescued before unconsciousness and showed just the beginning of downing behaviour. Another five were rescued after unconsciousness, which allowed the observation of their drowning behaviour from the beginning to the end. Significant differences were found comparing both groups regarding the length of disappearances underwater, number, and length of resurfacing (resp. p = 0.003, 0.016, 0.005) and the interval from the beginning of the incident to the rescue (p = 0.004). All persons drowned within 2 min. The qualitative analysis showed previously suggested behaviour patterns (immediate disappearance n = 5, distress n = 6, instinctive drowning response n = 6, climbing ladder motion n = 3) but also a striking new pattern (backward water milling n = 19). This study confirms previous assumptions of drowning behaviour and provides novel evidence-based information about the large variety of visible behaviours of drowning persons. New behaviours, which mainly include high-frequency resurfacing during a struggle for less than 2 min and backward water milling, have been recognised in this study.

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Analysis of Successful Offensive Play Patterns by the Spanish Soccer Team

Cited by 15 publications

References 22 publications

The Influence of Match Status on Ball Possession in High Performance Women’s Football

The Influence of Match Status on Ball Possession in High Performance Women’s Football

In-game behaviour analysis of football players using machine learning techniques based on player statistics

The Visible Behaviour of Drowning Persons: A Pilot Observational Study Using Analytic Software and a Nominal Group Technique

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