This scoping review aimed to systematically map studies/tests for assessing the tactical domain of young soccer players. The study followed the PRISMA-ScR and Joanna Briggs Institute guidelines. The databases searched were Scopus, SPORTDiscus, SciELO, LILACS, and BDTD. The eligibility criteria were defined based on the elements of population, context, and concept, without restrictions on the period, language, and type of publication. Twenty-four papers were included, from 1997 to 2020, totalling 29 tests/instruments for the assessment of the tactical domain, with the majority of studies having an European sample. Twelve terms were used to nominate the tactical component, regardless of the assessment method and approach. Six tests met eight or nine criteria in the critical appraisal: TCTOF, TACSIS Spanish version, Semi-Structured Interview, TCTP-OE, GPET, and FUTSAT. Thus, it is concluded that studies and tests for the assessment of the tactical domain of young soccer players are recent and mainly European; there is no consensus about the adopted terminology; and few tests met the majority of the quality criteria. Therefore, we suggest: a) the construction/adaptation of tests with samples from other continents; b) the use of the proposed criteria; and c) that the terms tactical knowledge and tactical performance are adopted.

The aim of the study was to investigate the relationship between tactical performance, somatic maturity, and functional capabilities in young soccer players. Study participants were 48 soccer players (14.80 ± 1.5 years) belonging to an extension project at the State University of Maringa - Brazil. Anthropometric measurements of body mass, body height, and sitting height were carried out. The number of years to peak height velocity (PHV) was used as an index of maturation. Evaluations of functional fitness included the following tests: sit-and-reach, Yo-Yo Intermittent Recovery Test Level 1, handgrip test, modified abdominal test, and vertical jumps (Counter Movement Jump and Jump Squat). Tactical performance was assessed through the System of Tactical Assessment in Soccer (FUT-SAT). Multiple Linear Regression models were used to estimate the relative contributions of functional and maturational capacities to tactical performance. The results indicated weak associations between the tactical performance indices and somatic maturity, functional capacity, and anthropometric attributes (r < 0.40). The Yo-Yo Test contributed to 36% of the defensive tactic performance variation in the under 13 category. These results suggest that the level of maturity, growth status, and functional fitness have limited impact on tactical performance of young soccer players.

This study verified the effects of body size and game position on interactions performed by young soccer players in small-sided games (SSG). The sample consisted of 81 Brazilian soccer players (14.4 ± 1.1 years of age). Height, body mass, and trunk-cephalic height were measured. SSG was applied in the GK + 3v3 + GK format, and Social Network Analyses were carried out through filming the games to obtain the following prominence indicators: degree centrality, closeness centrality, degree prestige, and proximity prestige, in addition to network intensity and number of goals scored. Factorial ANCOVA (bone age as covariate) was used to test the effects of game position, body size, and respective interaction on centrality measurements (p < 0.05). Similarity between game positions in body size indicators (p > 0.05) was observed. The game position affected degree centrality (p = 0.01, η² = 0.16), closeness centrality (p = 0.01, η² = 0.11), and network intensity (p = 0.02, η² = 0.09), in which midfielders presented the highest network prominence values when compared to defenders and forwards. In conclusion, midfielders are players with high interaction patterns in the main offensive plays, which behavior is independent of body size.

The study aimed to analyze the core tactical offensive principles and technical efficiency of primary school futsal players. Thirty-three students from a school in Paraná participated in the study. The System of Tactical Assessment in Soccer (FUT-SAT) and the System of Notational Analysis in Small-sided Soccer Games were used for tactical-technical analysis. It was found that the tactical principle “offensive coverage" was most frequently executed by the primary school futsal players (p = 0.01), followed by "width and length" without ball (p < 0.01). Moderate and strong significant correlations were identified between the execution frequency of the core tactical principles “penetration”, “offensive coverage”, “width and length without ball”, “offensive unity” and efficiency in technical skills (from r = 0.43 to r = 0.82, p < 0.05). It is concluded that there is a model of playing near the game center in the presented age group, and that the efficiency of executing technical skills is associated with tactical behavior in game situation.

In complex systems, the system’s self-regulation processes can transition between states of equilibrium and disequilibrium, leading to changes in the distribution of players within the playing space. Actions that are surprising, rare, or out of the ordinary tend to be valued for their potential to destabilize the opposing defensive structure, altering player dispersion, and creating fragile spaces for the attack. With advancements in understanding the influence of the environment on players’ affordances, the tactical consequences from individuals’ solutions to various scenarios and their impact on the game context becomes a rich area for investigation. This study compared defensive dispersion in the moments preceding and following original actions in small-sided games. The original actions were obtained using the Creative Behavior Assessment in Team Sports (CBATS) observational matrix. At the same time, defensive dispersion was derived from positional data collected via GPS and processed using dedicated routines in MATLAB to obtain variables such as Stretch Index, Surface Area, Team Width, Team Length, and Individual Player Area. The Kolmogorov-Smirnov test was employed for normality, and the General Linear Model with Repeated Measures was used to compare pre-and post-action moments across different action classifications (pass and shot) and game configurations (SSG_{4v4 − Small}, SSG_{4v4 − Large}, SSG_{5v5 − Small}, and SSG_{5v5 − Large}). Differences were found in the Stretch Index, Surface Area, and Team Width variables in SSG_{4v4 − Small} and Surface Area in SSG_{5v5 − Small} (p < 0.05). It was concluded that the original action could attract opponents in small formats of SSG, increasing the contraction of the opposing team and reducing space around the action, with the potential to create new spaces in other areas of the field.

Prior research has suggested relevance to anthropometric variance of youth athletes at various stages of their maturation, and prior studies of youth players’ soccer skills have failed to consider their interdependent interactions during play. Accordingly, to address both of these separate research omissions, we aimed in this study to analyze the relationships between young (U-13 and U-15 groups) soccer players’ bone age and body size indicators and centrality measures of their pass interactions during small sided games. We included young 81 athletes ( M age = 14.4, SD = 1.1 years) from whom we took anthropometric measurements of body mass, height, and trunk-cephalic height and obtained their bone age using the Tanner-Whitehouse 3 classification method. We also filmed small-sided games in the goal keeper/three player (GK3-3GK) format to analyze the centrality of their passing actions on the following measures: degree of centrality, closeness of centrality, degree of prestige, and proximity of prestige. There were no group differences in the prominence of passing actions across these three measures (t_mean = −3.13; p > .05). Canonical correlations of these relationships were significant only in the U-13 group, in which centrality in passing actions was related to body size ( r = 0.71; R² = 0.21; ʌ = 0.28; p = .03). U-13 players who were physically larger and who presented higher bone age showed centralized main passing actions.