## 3 Results  
A cohort of 104 male soccer athletes, exclusively of Saudi nationality, willingly joined the research initiative. The average age within this cohort was 18.82 years, with a standard deviation of 0.68. The corresponding mean measurements for height, weight, BMI, and the duration of football play were 1.73 m (\(\pm\)0.07), 65.13 kg (\(\pm\)6.85), 21.83 kg/m\({}^{2}\) (\(\pm\)1.73), and 4.66 years (\(\pm\)2.26), respectively. Among the 104 football players representing five teams, 39 players (37.5%) disclosed a history of prior knee injuries. Detailed injury distribution is presented in Table 1, elucidating severity, timing, and mechanisms. Muscle injuries constituted the most prevalent type, making up 61.5% of all reported injuries, predominantly occurring during training sessions. Conversely, other injuries, such as fractures or patellar injuries, were less frequent, making up 7.7%. Among muscle injuries, quadriceps and hamstring injuries showed equal prevalence. Ligamentous injuries followed (25.6%), with ACL being the most common, succeeded by meniscus injuries (17.9%), among which medial meniscus injuries prevailed. Non-contact injuries constituted the majority, accounting for 59% of reported cases. The distribution of injuries in terms of players' field positions is illustrated in Figure 1. Regarding intervention types, results reveals that 23.1% of participants opted for surgical intervention, with all injured players undergoing physical therapy rehabilitation. On average, participants returned to sport after 69.89 days, with a standard deviation of 100.83. \begin{table}
\begin{tabular}{l c c c c c c c c} \hline \hline \multirow{2}{*}{**Knee Injury Type**} & \multicolumn{3}{c}{**Severity n (\%)**} & \multicolumn{3}{c}{**Timing of Injuries n (\%)**} & \multicolumn{3}{c}{**Injury Mechanism n (\%)**} & \multirow{2}{*}{**Total**} \\ \cline{2-2} \cline{4-9}  & **Mild** & **Moderate** & **Sever** & **First Half** & **Second Half** & **Training** & **Contact** & **Non-Contact** & **n (\%)** \\ \hline
**Ligament injury** & & & & & & & **10 (25.6)** \\ ACL & & 7 (100) & 1 (14.3) & 1 (14.3) & 5 (71.4) & 2 (28.6) & 5 (71.4) & 7 (17.9) \\ PCL & & & & & & & & \\ MCL & 1 (50) & 1 (50) & & 2 (100) & 2 (100) & & 2 (5.1) \\ LCL & & 1 (100) & & 1 (100) & & 1 (100) & & 1 (2.6) \\
**Meniscus injury** & & & & & & & & **7 (17.9)** \\ Medial meniscus & & 5 (100) & & & 5 (100) & 2 (40) & 3 (60) & 5 (12.8) \\ Lateral meniscus & & 2 (100) & & & 2 (100) & & 2 (100) & 2 (5.1) \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Distribution of knee injuries (n = 39) among study participants. Logistic regression analysis was conducted to assess the impact of age, weight, height, BMI, duration of playing football, and playing positions on predicting knee injuries (Table 2). The statistical significance, as indicated by the \(p\)-value (<0.001), highlights that only the duration of playing football holds significance. The coefficients for age and weight are negative. Specifically, a one-unit increase in age reduces the likelihood of a knee injury by 1.6%. Similarly, a one-unit increase in weight corresponds to a 58.5% decrease in the odds of having a knee injury, or a decrease by a factor of 0.42 times. Conversely, a one-unit increase in height is linked to an approximately 3.01 times increase in the odds of sustaining a knee injury. Likewise, a one-unit increase in BMI results in a substantial 15.97 times increase in the odds of having a knee injury. The duration of playing football shows a 50.1% increase in the odds of having a knee injury for each additional year of playing (or 1.50 times). Furthermore, when comparing football players classified as strikers to goalkeepers, the odds of having a knee injury increase by 48.4% (or 1.484 times). Similarly, defenders compared to goalkeepers have a 59.3% increase in the odds of knee injuries (or 1.593 times). In contrast, midfielders compared to goalkeepers experience a 24.3% decrease in the odds of knee injuries (or 0.757 times).