## 3 Results
### Generalized Linear Model  
In the model in which the dependent variable was attack duration in open play, a Gamma Probability Distribution with a Log Link Function was selected due to the nature of the dependent variable (time measured in seconds). The Omnibus test was statistically significant (likelihood ratio chi-square = 115.954, df = 13, \(p\) < 0.001), and the Akaike's Information Criterion (AIC) was 1316.187.  
Table 9 reveals that the initial sector significantly explains the variations in the model (\(p\) < 0.001 in all cases). As indicated by OR values (2.586, 2.2, and 1.982, respectively), attacks initiated further away from the offensive sector tended to have longer durations. Furthermore, the presence of pressure on the attackers during the first three seconds of possession significantly reduced the attack duration (\(p\) = 0.008, OR = 0.775). Finally, performing a penetrative action during the initial three seconds of possession also resulted in significantly shorter attack durations (\(p\) < 0.001, OR = 0.541). Therefore, if there is pressure (OR = 0.775), the average duration is reduced by (1 \(-\) 0.075) \(\times\) 100% = 22.5%, while if there is penetrative action (OR = 0.541), the average duration is reduced by (1 \(-\) 0.541) \(\times\) 100% = 45.9%.  
\begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**Indicators**} & \multirow{2}{*}{**Dimensions**} & \multirow{2}{*}{**B**} & \multirow{2}{*}{**\(p\)**} & \multicolumn{3}{c}{**95\% Wald Confidence Interval**} \\  & & & & & **for Exp (B)** \\ \cline{5-6}  & & & & **Lower** & **Upper** \\ \hline \multirow{4}{*}{Match status} & Win & \(-\)1.144 & 0.049 & 0.318 & 0.102 & 0.999 \\  & Draw & 0.128 & 0.835 & 1.136 & 0.341 & 3.788 \\  & Loss & 0 & 1 & & & \\ \cline{1-1}  & Home & \(-\)0.244 & 0.576 & 0.784 & 0.334 & 1.84 \\ \cline{1-1}  & Away & 0 & 1 & & & \\ \cline{1-1}  & 1–15 & \(-\)0.397 & 0.604 & 0.672 & 0.15 & 3.011 \\ \cline{1-1}  & 16–30 & \(-\)0.434 & 0.528 & 0.648 & 0.168 & 2.494 \\ \cline{1-1}  & Time & 31–45+ & 0.196 & 0.802 & 1.216 & 0.263 & 5.62 \\ \cline{1-1}  & period & 46–60 & \(-\)0.11 & 0.872 & 0.896 & 0.236 & 3.402 \\ \cline{1-1}  & 61–75 & \(-\)0.462 & 0.508 & 0.63 & 0.161 & 2.469 \\ \cline{1-1}  & 76–90+ & 0 & 1 & & & \\ \cline{1-1}  & Defensive & 3.094 & 0.002 & 22.068 & 3.121 & 156.054 \\ \cline{1-1}  & Initial & Pre-defensive & 2.995 & 0.002 & 19.977 & 2.975 & 134.135 \\ \cline{1-1}  & sector & Pre-offensive & 2.682 & 0.007 & 14.613 & 2.089 & 102.208 \\ \cline{1-1}  & Offensive & 0 & 1 & & & \\ \cline{1-1}  & Pressure & \(-\)1.19 & 0.025 & 0.304 & 0.107 & 0.861 \\ \cline{1-1}  & Pressure & No pressure & 0 & 1 & & \\ \cline{1-1}  & Initial & Penetrative & \(-\)3.488 & \(<\)0.001 & 0.031 & 0.009 & 0.108 \\ \cline{1-1} penetration & Non-penetrative & 0 & 1 & & & \\ \hline \hline \end{tabular}
\end{table}
Table 8: Parameter estimates of binary regression analysis.  
\begin{table}
\begin{tabular}{c c c c c c} \hline \hline \multirow{2}{*}{**Indicators**} & \multirow{2}{*}{**Dimensions**} & \multirow{2}{*}{**B**} & \multirow{2}{*}{**\(p\)**} & \multicolumn{3}{c}{**95\% Wald Confidence Interval**} \\  & & & & **for Exp (B)** \\ \cline{5-6}  & & & & **Lower** & **Upper** \\ \hline \multirow{4}{*}{Match status} & Win & \(-\)0.182 & 0.085 & 0.834 & 0.678 & 1.025 \\  & Draw & \(-\)0.029 & 0.79 & 0.972 & 0.787 & 1.2 \\ \cline{1-1}  & Loss & 0 & 1 & & \\ \cline{1-1}  & Home & 0.142 & 0.088 & 1.152 & 0.979 & 1.356 \\ \cline{1-1}  & Away & 0 & 1 & & \\ \hline \hline \end{tabular}
\end{table}
Table 9: Parameter estimates of the generalized linear model.