## 4 Discussion
### Situational Variables  
Previous research on adult soccer has demonstrated that various situational factors, including match location, match status, and team ranking, significantly influence the creation of goal-scoring opportunities [7, 9]. In line with these findings, our analysis revealed the significant effects of match status on final attempts. Specifically, the chi-square test revealed that final attempts were more frequent when the match was not tied compared to situations where the match was tied, for both open-play and set-play situations. Furthermore, binary regression analysis demonstrated that winning teams were more likely to employ counter-attacks than organized attacks when compared to teams that were losing. This finding aligns with previous research on FIFA senior and youth tournaments by [PERSON] et al. [21]. Their findings revealed that losing and drawing teams exhibited lower odds of progressing through counter-attacks than organized attacks. In this line, [PERSON] et al. [31] observed that winning teams in Spanish and English top divisions had higher odds of implementing counter-attacks rather than organized attacks. Previous studies on senior tournaments have observed that losing teams often exhibit higher levels of ball possession than winning teams [9, 10]. This phenomenon can be attributed to the fact that losing teams may actively seek to regain control of the match by dominating possession and creating scoring opportunities. In contrast, winning teams may prioritize defending their lead by reinforcing their defensive structure, which can inadvertently create opportunities for counter-attacks. Teams need to be able to adjust their attacking strategies based on the scoreline and their opponent's behavior. Winning teams may benefit from emphasizing counter-attacking strategies to maintain control and exploit \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline \multirow{2}{*}{**Indicators**} & \multirow{2}{*}{**Dimensions**} & \multirow{2}{*}{**B**} & \multirow{2}{*}{**\(p\)**} & \multirow{2}{*}{**OR (Exp (B))**} & \multicolumn{2}{c}{**95\% Wald Confidence Interval**} \\  & & & & & & **for Exp (B)** \\ \cline{5-8}  & & & & & **Lower** & **Upper** \\ \hline \multirow{8}{*}{Time period} & 1–15 & \(-\)0.082 & 0.551 & 0.921 & 0.702 & 1.207 \\  & 16–30 & 0.055 & 0.678 & 1.056 & 0.816 & 1.368 \\  & 31–45+ & 0.055 & 0.689 & 1.056 & 0.808 & 1.381 \\  & 46–60 & 0.162 & 0.192 & 1.175 & 0.922 & 1.499 \\  & 61–75 & \(-\)0.154 & 0.216 & 0.857 & 0.672 & 1.094 \\  & 76–90+ & 0 & 1 & & & \\  & Defensive & 0.95 & \(<\)0.001 & 2.586 & 1.959 & 3.414 \\  & Pre-defensive & 0.788 & \(<\)0.001 & 2.2 & 1.676 & 2.887 \\  & Pre-offensive & 0.684 & \(<\)0.001 & 1.982 & 1.501 & 2.618 \\  & Offensive & 0 & 1 & 1 & & \\  & Pressure & \(-\)0.255 & 0.008 & 0.775 & 0.643 & 0.934 \\  & No pressure & 0 & 1 & & & \\  & Intial & Penetrative & \(-\)0.615 & \(<\)0.001 & 0.541 & 0.462 & 0.634 \\ penetration & Non-penetrative & 0 & & 1 & & \\ \hline \hline \end{tabular}
\end{table} 
Table 9: _Cont._spaces [15], whereas losing teams may need to prioritize patient build-up play to regain control and create scoring opportunities. While the statistical analyses did not reveal significant differences in the final attempt frequencies between home and away matches or across different time periods in the UEFA Youth League, some interesting trends emerged. Regarding match location, a higher number of both open-play and set-play final attempts were observed when the team was playing at home. This finding aligns with previous research on senior soccer, which has consistently demonstrated a home field advantage, suggesting that home teams tend to create more scoring opportunities overall [32] and score more goals [33]. The home field advantage likely stems from several factors, including familiarity with the playing surface, reduced travel fatigue, and psychological and tactical benefits associated with playing in front of their own supporters [34].