## 3 Results
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**Variable**} & \multirow{2}{*}{\begin{tabular}{c} **Win** \\ **(_n = 22_)** \\ \end{tabular} } & \multirow{2}{*}{\begin{tabular}{c} **Draw** \\ **(_n = 28_)** \\ \end{tabular} } & \multirow{2}{*}{\begin{tabular}{c} **Lose** \\ **(_n = 22_)** \\ \end{tabular} } & \multirow{2}{*}{\begin{tabular}{c} **H** \\ **(_n = 22_)** \\ \end{tabular} } & \multirow{2}{*}{\begin{tabular}{c} **_p_** \\ **(_n = 22_)** \\ \end{tabular} } & \multirow{2}{*}{\
\begin{tabular}{c} **\eta\({}^{2}\)** \\ **(_n = 22_)** \\ \end{tabular} } \\ \cline{2-2} \cline{5-7}  & **M \(\pm\) SD** & **M \(\pm\) SD** & **M \(\pm\) SD** & & & \\ \hline \multirow{2}{*}{
\begin{tabular}{c} Assists \\ Penalties scored \\ Penalties missed \\ Penalties awarded \\ Attacks \\ Clear chances \\ Corners taken \\ \end{tabular} } & 1.59 \(\pm\) 0.80 & 0.46 \(\pm\) 0.51 & 0.36 \(\pm\) 0.58 & 29.287 & 0.001 *+ & 0.413 \\  & 0.14 \(\pm\) 0.35 & 0.14 \(\pm\) 0.36 & 0.00 \(\pm\) 0.00 & 3.370 & 0.185 & 0.047 \\  & 0.00 \(\pm\) 0.00 & 0.04 \(\pm\) 0.19 & 0.05 \(\pm\) 0.21 & 0.935 & 0.626 & 0.013 \\  & 0.09 \(\pm\) 0.29 & 0.14 \(\pm\) 0.36 & 0.05 \(\pm\) 0.21 & 1.327 & 0.515 & 0.019 \\  & 48.64 \(\pm\) 17.69 & 43.75 \(\pm\) 16.47 & 37.05 \(\pm\) 18.32 & 6.234 & 0.044 * & 0.088 \\  & 0.45 \(\pm\) 0.60 & 0.50 \(\pm\) 0.64 & 0.68 \(\pm\) 0.89 & 0.471 & 0.790 & 0.007 \\  & 5.09 \(\pm\) 2.99 & 5.18 \(\pm\) 3.28 & 4.09 \(\pm\) 2.98 & 1.669 & 0.434 & 0.024 \\  & 2.00 \(\pm\) 1.66 & 1.43 \(\pm\) 1.57 & 0.95 \(\pm\) 0.95 & 4.583 & 0.101 & 0.065 \\  & 16.23 \(\pm\) 6.40 & 11.82 \(\pm\) 5.31 & 12.00 \(\pm\) 5.81 & 7.084 & 0.029 + & 0.100 \\  & 16.55 \(\pm\) 6.49 & 13.07 \(\pm\) 7.39 & 11.73 \(\pm\) 7.28 & 7.503 & 0.023 * & 0.106 \\  & 14.23 \(\pm\) 6.76 & 10.57 \(\pm\) 8.26 & 10.59 \(\pm\) 7.06 & 5.486 & 0.064 & 0.077 \\  & 7.95 \(\pm\) 4.50 & 4.61 \(\pm\) 4.05 & 3.27 \(\pm\) 2.25 & 16.893 & 0.001 *+ & 0.238 \\ \hline \hline \end{tabular} Note: M \(\pm\) SD—mean \(\pm\) standard deviation, H—Kruskal–Wallis H statistic, _p_—_p_-value, \(\eta^{2}\)—eta_—eta_ —eta_ \(\
eq\) lose (_p \(<\) 0.05_).  
\end{table} 
Table 2: _Cont._  
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**Variable**} & \multirow{2}{*}{ \begin{tabular}{c} **Win** \\ **(_n = 22_)** \\ \end{tabular}  } & \multirow{2}{*}{ \begin{tabular}{c} **Draw** \\ **(_n = 28_)** \\ \end{tabular}  } & \multirow{2}{*}{ \begin{tabular}{c} **Lose** \\ **(_n = 22_)** \\ \end{tabular}  } & \multirow{2}{*}{ \begin{tabular}{c} **H** \\ **(_n = 22_)** \\ \end{tabular}  } & \multirow{2}{*}{\ \begin{tabular}{c} **_p_** \\ **(_n = 22_)** \\ \end{tabular}  } & \multirow{2}{*}{ \begin{tabular}{c} **\eta\({}^{2}\)** \\ **(_n = 22_)** \\ \end{tabular}  } \\ \cline{2-2} \cline{5-7}  & **M \(\pm\) SD** & **M \(\pm\) SD** & **M \(\pm\) SD** & & & \\ \hline Possession & 53.32 \(\pm\) 10.33 & 50.00 \(\pm\) 9.20 & 46.68 \(\pm\) 10.33 & 5.357 & 0.069 & 0.075 \\ Passing accuracy & 86.95 \(\pm\) 5.56 & 85.21 \(\pm\) 5.19 & 84.14 \(\pm\) 5.59 & 3.748 & 0.154 &  
Other metrics, such as blocks, tackles, and clearances, did not show statistically significant differences across match outcomes. However, these metrics provide insight into teams' defensive strategies with different match outcomes. Notably, the number of blocks (H = 1.462, \(p\) = 0.482), tackles (H = 0.460, \(p\) = 0.794), and clearances completed (H = 0.118, \(p\) = 0.942) were similar among winning, drawing, and losing teams, suggesting that while defensive actions are crucial, their impact might be more nuanced and dependent on specific match contexts. The analysis of goalkeeping metrics also revealed significant differences regarding the match outcome (Table 5). Winning teams conceded fewer goals (M = 0.50, SD = 0.60) compared to drawing (M = 0.79, SD = 0.57) or losing teams (M = 2.18, SD = 1.01), with a notable effect size (H = 34.584, \(p\) < 0.001, \(\eta^{2}\) = 0.48709). Similarly, winning teams had more clean sheets (M = 0.55, SD = 0.51, \(p\) < 0.05).