Performance in Team Sports: Identifying the Keys to Success in Soccer

Ballesteros, Joaquín Lago; Lago‐Peñas, Carlos

doi:10.2478/v10078-010-0035-0

Cited by 133 publications

(103 citation statements)

References 20 publications

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“…The match location variable influenced independently the possession during the England Premier League 2015/16, i.e., home matches had more possession than away matches (~ 7%). Researches on home advantage in soccer have received more attention in the last years (e.g., 3,8,14,20 ). Different international tournaments have presented home advantage on performance indicators.…”

Section: Discussionmentioning

confidence: 99%

Effects of match situational variables on possession: The case of England Premier League season 2015/16

Aquino

Manechini

Bedo

et al. 2017

Motriz: rev. educ. fis.

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-Aims:To identify the effects of match location, quality of opponents and match status on possession during the 2015/16 Season of England Premier League. Methods: Three hundred and eighty matches played by 20 teams were analysed. For each match, two values were recorded, resulting in 760 observations. Results: Teams who played at home (51.77 ± 10.22%) presented higher possession values (EF=moderate) than those who played away (48.21 ± 10.30%). Quality of opponents also had a significant difference, as possession was higher (EF=large) when teams played against weak (52.30 ± 9.77%) than strong opponents (46.48 ± 10.38%). The multivariate analysis revealed no interaction between situational variables and possession (p = 0.76). Despite the teams classified as "best-ranking" (1st to 8th position: 50.60 ± 10.35%) presented greater possession (EF=moderate) than "worst-ranking" (9st to 20th position: 47.59 ± 9.74%), no significant differences were found in the comparisons of match status (

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Section: Discussionmentioning

confidence: 99%

Effects of match situational variables on possession: The case of England Premier League season 2015/16

Aquino

Manechini

Bedo

et al. 2017

Motriz: rev. educ. fis.

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“…In 2000, significant correlations with the ranking were found for success rate in passes (p<0.05) and attempts (p<0.05) on goal. In the other papers, different football leagues were investigated and it was shown that better-ranked teams (top-teams) need less shots for a goal than worse ranked teams [15,36,37]. This parameter corresponds to Broich et al's [29] 'goal efficiency'.…”

Section: Comparative Analysesmentioning

confidence: 99%

“…This parameter corresponds to Broich et al's [29] 'goal efficiency'. It was also found that top teams have more successful attacks, complete their offensive attacks more frequently between zero and 11 meters in front of the goal [38], have more successful passes [15,38,39], score more goals [36,37,40], perform more crosses [15,40], have more ball possession [37,39], shoot more often on the goal [37,39], have more assists [36,37,39] and take more shots [15,37,39,40]. The best teams in the league also perform fewer fouls [15] and allow fewer shots and crosses [40].…”

Section: Comparative Analysesmentioning

confidence: 99%

How to be Successful in Football: A Systematic Review

Lepschy¹,

Wäsche²,

Wöll³

2018

TOSSJ

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Background:Despite the popularity of football, the analysis of success factors in football remains a challenge. While reviews on performance indicators in football are available, none focuses solely on the identification of success factors and addresses the large and growing body of recent research up until 2016. Objective:To find out what determines success in football and to organize the body of literature, a systematic literature review analyzing existing studies with regard to success factors in football was undertaken. Methods:The studies included in this review had to deal with performance indicators related to success in football. The studies were published in 2016 or before. The initial search revealed 19,161 articles. Finally, sixty-eight articles were included in this review. The studies were clustered with regard to comparative analyses, predictive analyses and analyses of home advantage. Results:In total, 76 different variables were investigated in the reviewed papers. It appeared that the most significant variables are efficiency (number of goals divided by the number of shots), shots on goal, ball possession, pass accuracy/successful passes as well as the quality of opponent and match location. Moreover, new statistical methods were used to reveal interactions among these variables such as discriminant analysis, factor analysis and regression analysis. The studies showed methodological deficits such as clear operational definitions of investigated variables and small sample sizes. Conclusion:The review allows a comprehensive identification of critical success factors in football and sheds light on utilized methodological approaches. Future research should consider precise operational definitions of the investigated variables, adequate sample sizes and the involvement of situational variables as well as their interaction.

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“…For leagues, points scored and standing in the league table defined success. Success may depend on possession (Collet, 2013 high-intensity running and sprints undertaken (Di Salvo et al, 2009), passing (Saito et al, 2013, Scoulding et al, 2004, chance (Lagos, 2007), or even analysis of game related statistics (Lago-Penas et al, 2010). While success in a final game might depend on a few factors like shots on goal and effective goalkeeping (Szwarc, 2007), success in a league depends on multiple factors like goals to shots ratio, percentage of goals scored from outside the box, ratio of short to long passes, number of crosses, number of goals conceded and even number of yellow cards (Oberstone, 2009).…”

Section: Introductionmentioning

confidence: 99%

Pitch actions that distinguish high scoring teams: Findings from five European football leagues in 2015-16

Sarkar

Chakraborty

2018

JSA

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Abstract. In order to find the determinants of non-penalty goals scored per match, in association football (soccer), this paper developed a regression model consisting of 8 explanatory variables, based on observations for 98 teams playing in the top tiers of club football in England, Spain, Germany, France and Italy. We started with a framework that considered twenty-one different pitch actions that included both technical and tactical variables. Using data for the 2015-16 football season we narrowed down to the 8 variable model. The paper used a log-linear regression model in order to remove heteroscedasticity. The model estimated the number of non-penalty goals per game with error of less than |0.33| for 93 teams out of 98. For 52 teams the margin of error was less than |0.1|. Shots from penalty box per game, share of shots from goal box in total shots and long pass accuracy were found to have statistically significant positive impact on non-penalty goals scored per game. Share of long passes in total passes and crosses per game have significant negative impact.

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Performance in Team Sports: Identifying the Keys to Success in Soccer

Cited by 133 publications

References 20 publications

Effects of match situational variables on possession: The case of England Premier League season 2015/16

Effects of match situational variables on possession: The case of England Premier League season 2015/16

How to be Successful in Football: A Systematic Review

Pitch actions that distinguish high scoring teams: Findings from five European football leagues in 2015-16

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