Is it worth the effort? Understanding and contextualizing physical metrics in soccer

Llana, S.; Burriel, Borja; Madrero, Pau; Fernández, Javier García

doi:10.48550/arxiv.2204.02313

Cited by 4 publications

(3 citation statements)

References 6 publications

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“…Secondly, ball possessions were not considered in this study. The physical [ 28 ] and tactical [ 29 ] responses of the teams differ when the team has possession of the ball or not. This subject, distinguishing the attack and defence phase, is suggested for future research.…”

Section: Discussionmentioning

confidence: 99%

An eight-season analysis of the teams’ performance in the Spanish LaLiga according to the final league ranking

Errekagorri,

Fernandez-Navarro,

López-Del Campo

et al. 2024

PLoS ONE

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This study aimed to analyse the performance of 5,518 collective observations of the Spanish LaLiga teams for eight consecutive seasons (from 2011–12 to 2018–19), considering the final league ranking. The teams were divided into four groups: Europe (from 1st to 6th), Upper-Middle (from 7th to 11th), Lower-Middle (from 12th to 17th) and Relegation (from 18th to 20th). The variables recorded were: Passes, Successful Passes, Crosses, Shots, Goals, Corners, Fouls, Width, Length, Height, distance from the goalkeeper to the nearest defender (GkDef), total distance covered (TD) and number of points accumulated. The main results were that: 1) Europe, being superior to the rest of the groups, showed lower values of Length from 2015–16, and lower values of GkDef from 2014–15; 2) Upper-Middle showed lower values of Length from 2015–16; 3) Lower-Middle showed fewer Shots from 2013–14, and lower values of Length, GkDef and TD from 2014–15; and, 4) Relegation barely showed significant differences between seasons in any variable. The study concludes that the teams of the Europe, Upper-Middle and Relegation groups showed quite stable performance, while the teams of the Lower-Middle group presented a worsening in different dimensions as the seasons progressed. The information provided in this study makes it possible to have reference values that have characterized the performance of the teams for each group.

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Section: Discussionmentioning

confidence: 99%

An eight-season analysis of the teams’ performance in the Spanish LaLiga according to the final league ranking

Errekagorri,

Fernandez-Navarro,

López-Del Campo

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

show abstract

“…From the video, it would have been possible to distinguish, for example, when the ball was in play or not, and even detailing possession for each team in each period. It is known that the physical [ 38 ] and tactical [ 40 ] responses of the teams differ when the team has or does not have possession of the ball and, probably, it would have allowed one to describe more precisely how both dimensions are connected [ 38 ]. This subject, distinguishing the attack and defence phase, is suggested for future research.…”

Section: Discussionmentioning

confidence: 99%

Evaluating Physical and Tactical Performance and Their Connection during Female Soccer Matches Using Global Positioning Systems

Errekagorri

Echeazarra

Olaizola

et al. 2022

Sensors

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The objective of the present study was to evaluate the tactical and physical performance during official matches of a women’s soccer league and to correlate both dimensions in periods of 15 min. To do this, eight official matches of a semi-professional soccer team belonging to the Women’s Second Division of Spain (Reto Iberdrola) were analysed during the 2020–2021 season. The variables recorded were classified into two dimensions: tactical variables (i.e., Width, Length, Height and Surface Area) and physical variables (i.e., Total Distance Covered (TD), Total Distance Covered in High-Speed Running (HSR) and Total Distance Covered in Sprint). The main results were: (1) there were no differences between the periods in any of the tactical dimension variables; (2) in the physical dimension, a significant decrease in TD and HSR was described at the end of the match (period 60–75); and (3) some positive correlations were found among some variables of the tactical and physical dimension at the beginning and at the end of the match (periods 0–15, 60–75 and 75–90). The findings of the study suggest that connecting the tactical and physical dimension in the interpretation of team performance would allow for a better understanding of player and team performance and during competition.

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“…The wide availability of detailed data and extensive research has led to the creation of new metrics, which offer an objective and more complete picture of a player's abilities and potential. Nowadays, teams are increasingly using these metrics to help assess a player's technical [8,28], physical [19,26], tactical [9,10] and mental [3] skills.…”

Section: Introductionmentioning

confidence: 99%

un-xPass: Measuring Soccer Player's Creativity

Robberechts

Roy

Davis

2023

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

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Creativity is highly valued in soccer players. It contributes to exciting and unpredictable play, which can help teams to overcome defensive strategies and create scoring opportunities. Consequently, evaluating the creative abilities of players is an important aspect of the player recruitment process. However, there is currently no clear way to measure creativity in soccer. It is not captured by the typical result-based performance indicators, as being creative entails going beyond just doing something useful, to accomplishing something useful but in a unique or atypical way. Therefore in this paper, we define a novel metric to quantify the level of creativity involved in a player's passes. Our Creative Decision Rating (CDR) utilizes machine learning techniques to assess two important factors: the originality of a pass, and its value in terms of increasing the team's chances of scoring a goal. We validated our metric on StatsBomb 360 contextual event stream data of the 2021/22 English Premier League season and show through a number of use cases that it provides another angle on a player's skill, complementing existing player evaluation metrics. Overall, our metric provides a concise method for capturing and quantifying the creativity of soccer players and could have important implications for player recruitment and talent development in the sport. CCS CONCEPTS• Applied computing; • Computing methodologies → Model development and analysis; Machine learning;

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Is it worth the effort? Understanding and contextualizing physical metrics in soccer

Cited by 4 publications

References 6 publications

An eight-season analysis of the teams’ performance in the Spanish LaLiga according to the final league ranking

An eight-season analysis of the teams’ performance in the Spanish LaLiga according to the final league ranking

Evaluating Physical and Tactical Performance and Their Connection during Female Soccer Matches Using Global Positioning Systems

un-xPass: Measuring Soccer Player's Creativity

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