A soccer game analysis of two World Cups: playing behavior between elite female and male soccer players

Althoff, Katharina; Kroiher, Janina; Hennig, Ewald M.

doi:10.1080/19424281003685686

Cited by 21 publications

(11 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Such evidence seems to be usual in a set of studies that analysed the goals scored (Carling, et al, 2005;Pollard, et al, 2004). Moreover, it has been found that a higher proximity to the goal (mainly using the penalty area) increases the opportunity to score (Althoff, Kroiher, & Hennig, 2010). As an example, in the 2002 FIFA World Cup it was found that the majority of the goals were scored from inside the penalty area (Carling, et al, 2005).…”

Section: Discussionmentioning

confidence: 99%

Analysis of scored and conceded goals by a football team throughout a season

Clemente

Martins

Mendes

2016

Kinesiology (Zagreb, Online)

View full text Add to dashboard Cite

Network analysis can provide a new set of important information about players and teams’ behaviour throughout a match. Despite their pertinence, football analysis using network metrics is limited. Therefore, the aim of this study was to analyse the goals scored and goals conceded by a single team during a full season using network methods. Thirty-six games were analysed and from these the data about players’ connectivity in actions preceding 46 goals scored and 15 goals conceded were collected. The results showed that the most used players during the plays that resulted in the goals scored were forward players in the forward regions, mainly in the penalty area. The lateral defenders and midfield players were the players that mostly initiated the attacking plays that resulted in the goals scored. In sum, it was possible to conclude that network metrics can provide a new visualization and understanding of team-members’ behaviour, as well as characterize some patterns of play giving sport’s analysts information complementary to the traditional notational analysis.

show abstract

Section: Discussionmentioning

confidence: 99%

Analysis of scored and conceded goals by a football team throughout a season

Clemente

Martins

Mendes

2016

Kinesiology (Zagreb, Online)

View full text Add to dashboard Cite

show abstract

“…Studying differences between male and female athletes in sports environments is a primarily addressed topic in sports medicine under different perspectives such as participation, motivation, or biomechanics studies. In European football, broadcast recording analysis reported significant differences between player movement patterns by gender 11 . Other studies showed similar results under the limitation of observation protocols 12 .…”

Section: Introductionmentioning

confidence: 99%

Understanding gender differences in professional European football through machine learning interpretability and match actions data

Garnica-Caparrós

Memmert

2021

Sci Rep

View full text Add to dashboard Cite

After the great success of the Women’s World Cup in 2019, several platforms have started identifying the reasons for gender inequality in European football. Even though these inequalities emerge from a variety of key aspects in the modern sport, we focused on the game and evaluated the main differential features of European male and female football players in match actions data under the assumption of finding significant differences and established patterns between genders. A methodology for unbiased feature extraction and objective analysis is presented based on data integration and machine learning explainability algorithms. Female ($$n_0 = 1511$$ n 0 = 1511 ) and male ($$n_1 = 2703$$ n 1 = 2703 ) data points were collected from event data and categorized by game period and player position. We set up a supervised classification pipeline to predict the gender of each player by looking at their actions in the game. The comparison methodology did not include any qualitative enrichment or subjective analysis to prevent biased data enhancement or gender-related processing. The pipeline included three representative binary classification models; A logic-based Decision Trees, a probabilistic Logistic Regression and a multilevel perceptron Neural Network. Each model tried to draw the differences between male and female data points, and we extracted the results using machine learning explainability methods to understand the underlying mechanics of the models implemented. The study was able to determine pivotal factors that differentiate each gender performance as well as disseminate unique patterns by gender involving more than one indicator. Data enhancement and critical variables analysis are essential next steps to support this framework and serve as a baseline for further studies and training developments.

show abstract

“…Another comparative study is that of Bradley et al (2014) in which a comparative analysis was performed between genders of some technical-tactical parameters (duels won, possession time, lost balls, successful passes and touches for possession) in the UEFA Champions League matches, concluding that women lose the ball more times than men, but did not find differences regarding the number of touches by possession, nor in the possession time. In the work of Althoff et al (2010) a comparison between genders was also carried out, analysing matches of the Men's World Cup in Korea 2002, and of women in the USA 2003. Their results conclude that, women use more long passes than short ones, the foot's instep, they execute less dribbling and a less aggressive game (less tackling) and they try to get closer to the goal before shooting.…”

Section: Introductionmentioning

confidence: 99%

Gender differences in technical-tactical behaviour of La Liga Spanish football teams

Casal¹,

Losada²,

Maneiro³

et al. 2020

jhse

View full text Add to dashboard Cite

The aim of this study was to identify differences in technical-tactical behaviour between the men and women first division football teams of the Spanish league, to this end 68 matches corresponding to 2016/17 season were analysed. A comparative analysis of the medians was carried out using the Mann-Whitney U-tests were conducted as post hoc tests. The size effect of this test was calculated and, finally, we performed a grouping of the variables through the clustering bootstrapping technique in both groups. We have detected statistically significant differences (p <0.01) regarding all accurate passes, in favour of men, as well as a greater number of yellow cards. In female football, a greater number of picking up free balls, interceptions, lost balls, recoveries and challenges are produced. Finally, in women's football a greater number of attacks are also carried out, both positional and counterattacks than in men. The clustering analysis allowed us to identify that in male football, the circumstance of receiving a red card is closely related to the number of goals conceded and most of the shots on goal are achieved by positional attacks. In the case of women's football, ball possession on own half is closely related to the number of losses. Data proves the existence of technicaltactical differences between male and female football of the La Liga teams. Such detailed analysis could be useful for gender-specific training information for optimal preparation. However, more research is warranted to establish the main gender differences and characterize women's football.

show abstract

A soccer game analysis of two World Cups: playing behavior between elite female and male soccer players

Cited by 21 publications

References 2 publications

Analysis of scored and conceded goals by a football team throughout a season

Analysis of scored and conceded goals by a football team throughout a season

Understanding gender differences in professional European football through machine learning interpretability and match actions data

Gender differences in technical-tactical behaviour of La Liga Spanish football teams

Contact Info

Product

Resources

About