**An Analysis of Damião's Passing Data in the International Marathon**
The International marathon, held in Greece in 2019, marked a historic event for many runners, including young talent Damião, who had become a 28-year-old Olympic champion. Damião's inclusion in this prestigious event was a testament to his remarkable talent and dedication, solidifying his legacy as one of the youngest champions in recent years.
The International Marathon's success is predicated on the meticulous analysis of each runner's passing data, a system designed to track performance and identify runners at risk. Pass numbers, assigned based on final positions, provide a unique insight into a runner's journey. Damiões's pass number was 102, a number that reflects his steady pace and resilience.
Damiões, who had achieved a time of 3:37:25, came in just 1.5 seconds behind the winner,Ligue 1 Focus showcasing his ability to maintain high standards despite early fatigue. His victory was a significant achievement, highlighting his talent and determination. The crowd's support, though growing increasingly enthusiastic, was a testament to his performance.
The analysis of Damiões's passing data revealed patterns that highlighted the concentration of runners behind him, indicating a group that was struggling. This was a critical insight for IMA officials, who used the data to make informed decisions on training and pacing. His performance underscored the importance of pass data in predicting and mitigating risks.
Damiões's story is particularly noteworthy as he was the first young runner at the age of 28 to compete in the 2019 event. His success not only solidified his reputation but also set a precedent for future marathons, emphasizing the value of talent and perseverance.
In conclusion, Damiões's passing data provided valuable insights into the marathon's dynamics, offering a unique lens through which to view the competition. His story, while unique, serves as a valuable reminder of the potential of young talent and the enduring importance of pass data in sports analysis.