Determining unstable game states to aid the identification of perturbations in football

Kim, Jongwon; James, Nic; Parmar, Nimai; Ali, Besim; Vučković, Goran

doi:10.1080/24748668.2019.1602439

Cited by 15 publications

(18 citation statements)

References 19 publications

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“…Kim et al (2019) presented five specific situations that were described as unstable situations, more importantly defined as potential goal scoring opportunities. Of interest here was “how” one team achieved these in different situations.…”

Section: Discussionmentioning

confidence: 99%

“…Since this research developed a previous study by Kim et al (2019) no record was made of unstable situations that occurred subsequent to an initial one occurring during a single team possession. This meant that an accurate portrayal of all unstable situations was not possible.…”

Section: Discussionmentioning

confidence: 99%

“…Unstable situations were previously defined by Kim et al (2019), who validated the five specific situations used here (Figure 1). Penalty kicks were excluded from both papers because penalties are the consequence of an attack and the kick deemed a new possession.…”

Section: Methodsmentioning

confidence: 99%

“…All matches were viewed and coded in SportsCode Elite v10.3.36, to enable time stamps for each advantage state and when unstable situations arose (see also Kim et al, 2019). Apple Movist v1.3.6 was also used to facilitate coding due to ease of video manipulation.…”

Section: Methodsmentioning

confidence: 99%

“…However, these studies simply determined which areas or actions were most prevalent in goal scoring possessions. Kim et al (2019) suggested that different quality English Premier League (EPL) teams created unstable situations (defined as potential goal scoring opportunities) in different ways. Five specific potential goal scoring situations were identified according to pitch location, game situation or specific action using coach and analyst validated definitions.…”

Section: Introductionmentioning

confidence: 99%

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The Attacking Process in Football: A Taxonomy for Classifying How Teams Create Goal Scoring Opportunities Using a Case Study of Crystal Palace FC

et al. 2019

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PurposeWhilst some studies have comprehensively described the different features associated with the attacking process in football they have not produced a methodology of practical use for performance enhancement. This study presents a framework of comprehensive and meaningful metrics to objectively describe the attacking process so that useful performance profiles can be produced.MethodsThe attacking process was categorized into three independent situations, no advantage (stable), advantage, and unstable (potential goal scoring opportunity) situations. Operational definitions for each situation enhanced their reliability and validity. English Premier League football matches (n = 38) played by Crystal Palace Football Club in the 2017/2018 season were analyzed as an exemplar.ResultsCrystal Palace FC created a median of 53.5 advantage situations (IQR = 16.8) and 23 unstable situations (IQR = 8.8) per match. They frequently utilized wide areas (Median = 21.5, IQR = 9.8) to progress, but only 26.6% resulted in unstable situations (Median = 6.0, IQR = 3.8), the lowest rate compared to the other advantage situations.ConclusionThis classification framework, when used with contextual factors in a multi-factorial manner, including individual player contributions, will provide practically useful information for applied practice. This approach will help close the so called theory-practice gap and enable academic rigor to inform practical problems.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

The Attacking Process in Football: A Taxonomy for Classifying How Teams Create Goal Scoring Opportunities Using a Case Study of Crystal Palace FC

et al. 2019

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Exploring elite soccer teams’ performances during different match-status periods of close matches’ comebacks

Gómez

Reus

Parmar

et al. 2020

Chaos, Solitons & Fractals

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Patterns of numerical relations in goal-scoring possessions of the 2014 FIFA World Cup Winner

Santos

Araújo²,

Andrade

et al. 2021

Mov Sport Sci/Sci Mot

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Goal scoring has been regarded as the ultimate indicator of offensive success in soccer. Research on patterns that characterize goal-scoring possessions have frequently employed reductionist approaches. This paper aimed to examine the patterns of numerical relations of open-play goal-scoring possessions of the 2014 FIFA™ World Cup winner team. We hypothesized that a more unstable distribution of players in goal-scoring possessions Germany would be generated in sub-areas of the effective play-space closer to opponents’ goal. We analysed 11 video sequences from 6 matches of the German team in this tournament. The uncertainty of teams’ numerical advantage within sub-areas of play was calculated for each offensive sequence through Shannon’s entropy. We observed higher entropy within Germany’s Central Offensive (opponents’ Central Defensive) sub-area in comparison with the other sub-areas of play. There is a tendency of the German team to generate numerical instability within locations closer to the opponents’ goal, possibly due to the shifting of positions, drawing of opposing defenders towards peripheral areas and the creation of spaces for teammates to exploit within this risky zone to the opposition.

show abstract

Determining unstable game states to aid the identification of perturbations in football

Cited by 15 publications

References 19 publications

The Attacking Process in Football: A Taxonomy for Classifying How Teams Create Goal Scoring Opportunities Using a Case Study of Crystal Palace FC

The Attacking Process in Football: A Taxonomy for Classifying How Teams Create Goal Scoring Opportunities Using a Case Study of Crystal Palace FC

Exploring elite soccer teams’ performances during different match-status periods of close matches’ comebacks

Patterns of numerical relations in goal-scoring possessions of the 2014 FIFA World Cup Winner

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