###### Abstract  
The development of Global Positioning System (GPS) technology has contributed in various ways to improving the physical condition of modern football players by enabling the quantification of physical load. Previous studies have reported that the running demands of matches vary depending on playing position and formation. Over the past decade, despite the widespread use of GPS technology, studies that have investigated the running performance of young football players within the 1-4-3-3 formation are particularly limited. Therefore, the aim of the present study was to create the match running profile of playing positions in the 1-4-3-3 formation among high-level youth football players. An additional objective of the study was to compare the running performance of players between the two halves of a match. This study involved 25 football players (Under-19, U19) from the academy of a professional football club. Data were collected from 18 league matches in which the team used the 1-4-3-3 formation. Positions were categorized as Central Defenders (CDs), Side Defenders (SDs), Central Midfielders (CMs), Side Midfielders (SMs), and Forwards (Fs). The players' movement patterns were monitored using GPS devices and categorized into six speed zones: Zone 1 (0.1-6 km/h), Zone 2 (6.1-12 km/h), Zone 3 (12.1-18 km/h), Zone 4 (18.1-21 km/h), Zone 5 (21.1-24 km/h), and Zone 6 (above 24.1 km/h). The results showed that midfielders covered the greatest total distance (\(p\) = 0.001), while SDs covered the most meters at high and maximal speeds (Zones 5 and 6) (\(p\) = 0.001). In contrast, CDs covered the least distance at high speeds (\(p\) = 0.001), which is attributed to the specific tactical role of their position. A comparison of the two halves revealed a progressive decrease in the distance covered by the players at high speed: distance in Zone 3 decreased from 1139 m to 944 m (\(p\) = 0.001), Zone 4 from 251 m to 193 m (\(p\) = 0.001), Zone 5 from 144 m to 110 m (\(p\) = 0.001), and maximal sprinting (Zone 6) dropped from 104 m to 78 m (\(p\) = 0.01). Despite this reduction, the total distance remained relatively stable (first half: 5237 m; second half: 5046 m, \(p\) = 0.16), indicating a consistent overall workload but a reduced number of high-speed efforts in the latter stages. The results clearly show that the tactical role of each playing position in the 1-4-3-3 formation, as well as the area of the pitch in which each position operates, significantly affects the running performance profile. This information should be utilized by fitness coaches to tailor physical loads based on playing position. More specifically, players who cover greater distances at high speeds during matches should be prepared for this scenario within the microcycle by performing similar distances during training. It can also be used for better preparing younger players (U17) before transitioning to the U19 level. Knowing the running profile of the next age category, the fitness coach can prepare the players so that by the end of the season, they are approaching the running performance levels of the next group, with the goal of ensuring a smoother transition. Finally, regarding the two halves of the game, it is evident that fitness coaches should train players during the microcycle to maintain high movement intensities even under fatigue.  
formation; GPS tracking; running profile; playing position