No effect of maturity status on network-based centrality measures of young athletes was identified (P > 0.05). The maturity status explained a significant portion of the variance in body mass (Ƞ ² =0.37), height (Ƞ ² = 0.30), sitting height (Ƞ ² =0.30), and performance on the YYIRT1 (Ƞ ² =0.08), CMJ (Ƞ ² =0.14), and RSA (Ƞ ² =0.13). The relationship between the set of evaluated variables within each maturity status was obtained from the correlational analysis of networks (P > 0.05). The multidimensional evaluation involved the following tests: Yo-Yo Intermittent Recovery Test Level 1 (YYIRT1), Counter Movement Jump (CMJ), Repeated Sprints Ability (RSA), observational analysis of techniques, and interactions performed by players in small-sided games. Anthropometric measurements of body mass, height, sitting height, and bone age were obtained (TW3 method). The sample included 81 players (14.4 ± 1.1 years). This study verified the effects of the maturity status on the interactions of young soccer players in small-sided games. However, this study has established the relative importance of technical and tactical measures of performance in relation to successful team performance in AF. A combined approach to the classification of match outcomes provided no improvement in model accuracy compared with previous literature. A Score margin-based GLM achieved a root mean squared error (RMSE) of 6.9 points. The Win-loss-based Decision tree model achieved a classification accuracy of 89.0% and GLM 93.2%. Of the top 45 selected features, this included seven tactical PIs. The top 45 ranked technical and tactical PIs from a feature selection process were used to model match outcome using decision tree and Generalised Linear Models (GLMs). Two outcome measures Win-loss and Score margin were used as dependent variables. A database of 101 technical PIs and 14 tactical PIs from every match in the 2009–2016 Australian Football League (AFL) seasons was merged. The aim of this study was to assess if tactical and technical performance indicators (PIs) could be used in combination to model match outcomes in Australian Football (AF). We conclude that offensive and defensive tactical performance is poorly correlated with passing, dribbling and shooting technical skills in youth soccer players This gap highlights the need to improve the assessment of technical skills, which should also occur in the game context, such as small-sided games. These results indicate a gap between the knowledge of “how to do it”, i.e., technical skills, and the knowledge of “what to do”, i.e., tactical knowledge. Low correlations were also found between the dribbling skill and penetration/width and length with the ball, and between the shot on goal skill and shooting on goal during the game. A low correlation was observed between tactical indices (offensive and efensive) and technical skills (shooting, pass and dribbling). The Shapiro-Wilk normality test and Spearman’s correlation coefficient were used for statistical analysis. The FUT-SAT test was used to evaluate tactical behavior and the General Soccer Ability Skill Test Battery to assess technical performance. The aim of this study was to evaluate the correlation between tactical performance indices (offensive and defensive) and passing, dribbling and shooting technical skills. Soccer performance is multifactorial and is characterized by the interaction of technical, tactical, physical, physiological, and psychological components however, few studies have investigated the direct relationship between these components in soccer players.
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