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              <p>&lt;div&gt;&lt;p&gt;Background: Understanding the balance between intensity and volume during training and competition is crucial for optimizing players' performance and recovery in professional soccer. While worst-case scenarios (WCSs) are commonly used to assess peak match demands, little is known about how the time spent within WCS thresholds varies across congested and non-congested periods, especially when considering differences in playing time. This study examines the time spent at different percentages of WCSs during congested and non-congested periods for players with lower and higher playing times throughout training sessions and matches. Methods: Data were collected from a professional soccer team across a congested and non-congested match period. Twenty players were divided into two groups based on playing time: the top 10 playing times (PT 1-10) and the bottom 10 playing times (PT 11-20). WCS thresholds for total distance (TD) and the distance covered above 20 km•h -1 (D20) were quantified in 10% increments, starting from 50% and increasing up to &amp;gt;100%. The time spent at each threshold was compared between periods and groups for the integrated soccer exercises performed during all training sessions. Repeated measures of ANOVA were used to analyze differences between playing time groups and periods. Results: During training, players spent significantly more time within the 50-90% WCS TD and WCS D20 thresholds during non-congested periods compared to congested periods (p &amp;lt; 0.05). However, no significant differences were observed in the time spent for &amp;gt;90% of the WCSs between periods (p &amp;gt; 0.05). Both PT 1-10 and PT 11-20 groups exhibited similar patterns of WCS achievement, with small effect sizes observed for a few indicators. Conclusion: Coaches should design training sessions that replicate or exceed match demands, particularly during non-congested periods. Future strategies should integrate larger-sided games with longer durations and dissociated contents to better individualize and optimize training loads, especially for non-starters.&lt;/p&gt;&lt;/div&gt;</p>
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