Discovering Synergic Association by Feature Clustering from Soccer Players

Lee, Geon Ju; Li, Gen; Camacho, David; Jung, Jason J.

doi:10.1145/3400286.3418255

Cited by 4 publications

(13 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nonetheless, their study provided valuable insights for future researchers to explore distinct playing styles adopted by soccer players. Subsequently, Lee, Li [ 44 ] discovered 18 play styles, while Li, Zong [ 12 ] discovered 14 player styles (18 when including styles that were similar for both the right and left sides of the field). It is worth noting that the player styles identified in the latter two studies may be limited by their reliance solely on match event data.…”

Section: Discussionmentioning

confidence: 99%

“…Ball-playing $$$$keeper Is comfortable with the ball at their feet and is actively involved in the team's build-up play. They possess good passing, dribbling, and decision-making skills, often contributing to the team's possession-based style of play [43,44].…”

Section: Manuel Neuer Ederson Moraesmentioning

confidence: 99%

“…Ter Stegen, De Gea Line keeper Also known as shot-stopper or classic goalkeeper, focuses primarily on making saves and protecting their goal. They tend to stay closer to their goal line and excel in shot-stopping abilities, including reflexes, positioning, and aerial dominance [44,46].…”

Section: Ball-playing Keepermentioning

confidence: 99%

“…Is a midfielder who operates in a deeper position on the field, typically just in front of the defensive line. They are responsible for dictating the team's play from a deeper position, distributing accurate long-range passes, and initiating attacks from the defensive third [43,44].…”

Section: Deep Lying Playmakermentioning

confidence: 99%

See 3 more Smart Citations

Identifying Soccer Players’ Playing Styles: A Systematic Review

Plakias

Moustakidis²,

Kokkotis

et al. 2023

JFMK

View full text Add to dashboard Cite

Identifying playing styles in football is highly valuable for achieving effective performance analysis. While there is extensive research on team styles, studies on individual player styles are still in their early stages. Thus, the aim of this systematic review was to provide a comprehensive overview of the existing literature on player styles and identify research areas required for further development, offering new directions for future research. Following the PRISMA guidelines for systematic reviews, we conducted a search using a specific strategy across four databases (PubMed, Scopus, Web of Science, and SPORTDiscus). Inclusion and exclusion criteria were applied to the initial search results, ultimately identifying twelve studies suitable for inclusion in this review. Through thematic analysis and qualitative evaluation of these studies, several key findings emerged: (a) a lack of a structured theoretical framework for player styles based on their positions within the team formation, (b) absence of studies investigating the influence of contextual variables on player styles, (c) methodological deficiencies observed in the reviewed studies, and (d) disparity in the objectives of sports science and data science studies. By identifying these gaps in the literature and presenting a structured framework for player styles (based on the compilation of all reported styles from the reviewed studies), this review aims to assist team stakeholders and provide guidance for future research endeavors.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Manuel Neuer Ederson Moraesmentioning

confidence: 99%

Section: Ball-playing Keepermentioning

confidence: 99%

Section: Deep Lying Playmakermentioning

confidence: 99%

See 2 more Smart Citations

Identifying Soccer Players’ Playing Styles: A Systematic Review

Plakias

Moustakidis²,

Kokkotis

et al. 2023

JFMK

View full text Add to dashboard Cite

show abstract

“…This study conducts research that helps the manager make tactical decisions based on data 1 . The purpose of this study is to determine the tactics of the team depending on the level of the opponent team.…”

Section: Introductionmentioning

confidence: 99%

Exploiting weighted association rule mining for indicating synergic formation tactics in soccer teams

Lee

Jung

Camacho

2021

Concurrency and Computation

Self Cite

View full text Add to dashboard Cite

Managers make decisions on team tactics, formations, and player selection based on their own experiences. The managers have limitations in understanding the team's situation and sometimes they can think wrong. The purpose of this study is to make decisions on player selection and tactical formation according to the level of the opponent based on the data, not on the intuition of the manager. In our previous study, the Boruta algorithm was used to extract important features from 69 features in soccer player data by position. The detailed roles of each position were defined by using K-means algorithm. For example, the detailed roles of each position were defined as Mezzala, Shadow Striker, Deep-lying playmaker, and so on. That is, forward positions are classified as Target Man (TM) and Shadow Striker (SS). TM is a high-goal, high-competitive forward, and SS is a high-dribble, high-pass forward. In this study, we analyze a clustering dataset and the game appearance dataset. The game appearance dataset are divided into CL (Champions league Level), EL (Europa league Level), ML (Middle Level), and RL (Relegation Level). Association rule mining algorithm analyzes the synergy between positions, and selects a position with high synergy. Weighted association rule mining algorithm establishes player selection and tactical formation with the weight, which is the player's rating data. Finally, using the obtained results, we visualize the synergy between positions, tactical formation, and player characteristics depending on the level of the opponent.

show abstract