# Influence of Game Indicators on the Ranking of Teams in the Spanish Soccer League
## 3 Results
### Partial Ranking of the LaLiga Teams
\begin{table}
\begin{tabular}{c c c c c c c c c c c c c c} \hline \hline \multirow{2}{*}{**Game Indicator**} & \multirow{2}{*}{**Ranking**} & \multicolumn{4}{c}{**Pre-COVID-19**} & \multicolumn{4}{c}{**COVID-19**} & \multicolumn{4}{c}{**Post-COVID-19**} \\ \cline{3-14}  & & \(M\) & _SD_ & \(F\) & \(P\) (_q_\({}^{2}\))_ & \(M\) & _SD_ & \(F\) & \(p\) (_q_\({}^{2}\))_ & \(M\) & _SD_ & \(F\) & \(p\) (_q_\({}^{2}\))_ \\ \hline \multirow{2}{*}{Coulkeeper saves} & Equaled & 2.87 & 1.92 & 1.97 & 0.14 & 2.76 & 1.88 & 1.30 & 0.27 & 2.39 & 1.64 & 2.27 & 0.10 \\  & Unbalanced & 2.97 & 1.87 & (0.00) & 2.52 & 1.76 & & (0.00) & 2.40 & 2.76 & & (0.01) \\  & Very unbalanced & 3.02 & 2.03 & & 2.76 & 1.85 & & & 2.73 & 2.02 & & \\ \hline \multirow{2}{*}{Fous committed} & Equaled & 14.12 & 4.25 & 11.21 & -0.001 \({}^{*}\) & 13.78 & 3.93 & 0.24 & 0.79 & 13.66 & 4.17 & 7.02 & -0.001 \({}^{*}\) \\  & Unbalanced & 13.84 & 4.22 & & (0.01) & 13.60 & 4.28 & & (0.00) & 13.30 & 4.46 & & (0.02) \\  & Very unbalanced & 13.30 & 4.15 & & & 13.88 & 4.13 & & & 12.18 & 3.68 & & \\ \hline \multirow{2}{*}{Attacks} & Equaled & 101.71 & 23.41 & 0.33 & 0.72 & 106.84 & 24.07 & 1.52 & 0.22 & 101.95 & 23.02 & 0.10 & 0.91 \\  & Unbalanced & 100.83 & 22.68 & & (0.00) & 106.94 & 21.58 & & (0.00) & 101.53 & 27.77 & (0.00) \\  & Very unbalanced & 102.14 & 24.29 & & & 110.51 & 25.28 & & & 100.88 & 28.16 & & \\ \hline \multirow{2}{*}{Dangerous attacks} & Equaled & 54.75 & 18.56 & 0.43 & 0.65 & 45.43 & 16.81 & 1.66 & 0.19 & 46.09 & 17.37 & 1.10 & 0.33 \\  & Unbalanced & 55.82 & 19.42 & & (0.00) & 46.91 & 15.72 & & (0.00) & 46.16 & 19.85 & & (0.00) \\  & Very unbalanced & 55.19 & 19.87 & & & 48.21 & 18.26 & & & 48.65 & 21.70 & & \\ \hline \multirow{2}{*}{Total passes} & Equaled & 423.84 & 117.74 & 1.68 & 0.19 & 417.79 & 116.46 & 3.05 & 0.05\({}^{*}\) & 424.83 & 123.22 & 3.71 & 0.03 \({}^{*}\) \\  & Unbalanced & 425.26 & 108.06 & & (0.00) & 416.53 & 116.81 & & (0.01) & 425.83 & 133.94 & (0.01) \\  & Very unbalanced & 443.10 & 137.32 & & & 444.18 & 143.25 & & & 458.42 & 153.41 & & \\ \hline \multirow{2}{*}{Tackles} & Equaled & 16.96 & 8.59 & 0.05 & 0.95 & 14.86 & 4.83 & 0.50 & 0.61 & 14.28 & 4.60 & 0.73 & 0.48 \\  & Unbalanced & 17.05 & 5.19 & & (0.00) & 14.91 & 4.31 & & (0.00) & 14.22 & 4.21 & (0.00) \\  & Very unbalanced & 17.17 & 5.16 & & 15.28 & 4.34 & & & 13.78 & 4.45 & & \\ \hline \hline \end{tabular} Note: equaled \(0.5\) places in the league table: unbalanced \(n=\)10 places in the league table; very unbalanced \(n=\)11-19 places in the league table. \(n=\)5 \(\times\)0.05.  
\end{table} 
Table 1: _Cont._Multiple comparisons between the game indicators, according to the partial ranking, are shown in Table 2. In the pre-COVID-19 period, the results indicated that equaled teams received more yellow cards, compared to unbalanced and very unbalanced teams. These first teams received more red cards, compared to very unbalanced teams, but they made fewer total shots and shots on goal, compared to very unbalanced teams. On the other hand, equaled and unbalanced teams took more free kicks, and committed more fouls than very unbalanced teams. In the COVID-19 period, unbalanced teams reported more shots off goal than very unbalanced teams. In the post-COVID-19 period, equaled and unbalanced teams reported fewer shots on goals than very unbalanced teams; in contrast, these same teams took more free kicks, and committed more fouls, compared to very unbalanced teams. Equaled teams committed more offsets, compared to very unbalanced teams; in contrast, they made fewer total passes than very unbalanced teams. Despite this, no effect (0.000-0.199) or a small effect (0.200-0.499) was reported on the significant game indicators. The proposed model, a linear mixed model (period*partial ranking), reported significant statistical differences in three game indicators (Table 3): free kicks, offsides, and fouls committed. The inter-class correlation coefficient was close to 0; thus, the responses of each team were stable, and the repetition of the matches had no effect.