{"id":252824,"date":"2026-11-05T14:42:06","date_gmt":"2026-11-05T12:42:06","guid":{"rendered":"https:\/\/azbuki.bg\/?p=252824"},"modified":"2026-11-05T14:49:28","modified_gmt":"2026-11-05T12:49:28","slug":"control-and-assessment-of-the-physical-capabilities-of-football-players","status":"publish","type":"post","link":"https:\/\/press.azbuki.bg\/en\/modern-trends-of-physical-education-and-sports-2025\/control-and-assessment-of-the-physical-capabilities-of-football-players\/","title":{"rendered":"Control and Assessment of the Physical Capabilities of Football Players"},"content":{"rendered":"<p><strong>Prof. Dr. Georgi Ignatov<br \/>\n<\/strong>ORCID iD: 0000-0002-3264-8376<br \/>\nSector \u201cSports Games and Mountain Sports\u201d<br \/>\nDepartment of Sport<br \/>\nSofia University \u201cSt. Kliment Ohridski\u201d<br \/>\nSofia, Bulgaria<br \/>\nE-mail: <a href=\"mailto:gvignatov@uni-sofia.bg\">gvignatov@uni-sofia.bg<\/a><\/p>\n<p><a href=\"https:\/\/doi.org\/10.53656\/ctpes-2026.GI\">https:\/\/doi.org\/10.53656\/ctpes-2026.GI<\/a><\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"alignleft wp-image-146829\" src=\"https:\/\/azbuki.bg\/wp-content\/uploads\/2025\/03\/pdf-icon.jpg\" alt=\"\" width=\"32\" height=\"40\" srcset=\"https:\/\/press.azbuki.bg\/wp-content\/uploads\/2025\/03\/pdf-icon.jpg 1532w, https:\/\/press.azbuki.bg\/wp-content\/uploads\/2025\/03\/pdf-icon-239x300.jpg 239w, https:\/\/press.azbuki.bg\/wp-content\/uploads\/2025\/03\/pdf-icon-817x1024.jpg 817w, https:\/\/press.azbuki.bg\/wp-content\/uploads\/2025\/03\/pdf-icon-768x963.jpg 768w, https:\/\/press.azbuki.bg\/wp-content\/uploads\/2025\/03\/pdf-icon-1226x1536.jpg 1226w, https:\/\/press.azbuki.bg\/wp-content\/uploads\/2025\/03\/pdf-icon-750x940.jpg 750w, https:\/\/press.azbuki.bg\/wp-content\/uploads\/2025\/03\/pdf-icon-1140x1429.jpg 1140w\" sizes=\"(max-width: 32px) 100vw, 32px\" \/><br \/>\n<a href=\"https:\/\/azbuki.bg\/wp-content\/uploads\/2026\/11\/su_sportisti_article03.pdf\">PDF<\/a><\/p>\n<p><em>Pages 33-43<\/em><\/p>\n<p><strong>Abstract. <\/strong>The purpose of this scientific article is to use the IRST test to determine the current physical condition of football players from the representative elite U-16 teams of FC \u201cBarocco\u201d and FC \u201cDimitrovgrad 1947\u201d, as well as to conduct a comparative analysis of the physical data of the two teams. The Maximum test option was applied \u2013 each athlete runs until failure. The main parameters that we examined from the test were speed, number of runs and total number of runs. To determine the physical development of the athletes, data was collected on 3 indicators \u2013 height, weight and age, and the athlete\u2019s BMI was determined. The present study was done in March 2024. The study\u2019s participants were 44 athletes. All athletes were 16 years old. Based on the results, we would recommend looking for ways to optimize the training process in future work with the athletes of both teams.<\/p>\n<p><em>Keywords: <\/em>football; physical training; indicators; IRST test; physical data; control<\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<ol>\n<li><strong>Introduction<\/strong><\/li>\n<\/ol>\n<p>Nowadays, the development of sports and in particular football, places new demands on the approach to the methodology of training and to the organization of training loads and their control in particular. High sports results today can be achieved only on the basis of successful selection and high quality and efficiency of the training process. Modern training must ensure continuous growth of the sportsmanship of the football player. By its nature, it must be close to the essence of the game itself. In such a way, it will be most useful and effective, successfully solving the tasks that are set for it.<\/p>\n<p>In its current form, the periodisation of year-round preparation is unlikely to undergo any fundamental changes in the future. Changes could be made regarding the use of training methods and their alternation in periods and stages, as well as in the continuous development in the fields of recovery and monitoring of physical loads in the training process of football players. The periodic change in training processes is primarily related to the objective laws in the development of sports form. Training work in football teams is carried out year-round in the form of group, team or individual activities and competitions, which have a cyclical nature in three periods: preparatory, competitive and transitional.<\/p>\n<p>The issue of year-round preparation for football players is an integral part of every coach\u2019s work. Without year-round planning, good results cannot be achieved. Proper planning is a guarantee of success for any football team, leading to inevitable progress in tactical, psychological, technical, and physical aspects, and contributing to the overall development of players\u2019 football mastery.<\/p>\n<p>In modern football, the game\u2019s dynamics and the demands on players\u2019 physical fitness are continually evolving. Football has a distinctly intermittent profile \u2013 marked by repeated bouts of high-intensity actions (sprinting, changes of direction, jumping) interspersed with short recovery periods (St\u00f8len et al., 2005; Reilly et al., 2000). This requires precise methods for monitoring and assessing physical capabilities that closely replicate match conditions.<\/p>\n<p>According to many authors, the primary purpose of control monitoring is to optimize the training and competition process by using objective information about the effects of applied training stimuli on the athlete. The focus of control is the key determinants of sporting performance \u2013 that is, those parameters (indices, qualities, properties) of human motor abilities that correlate strongly with performance and are, to some extent, trainable and manageable through appropriate training means and methods (Zhelyazkov &amp; Dasheva, 2006; Atanasov, 2013; Stoyanov et al., 1992).<\/p>\n<p>In recent decades, various authors have developed and applied test methods to assess key components of football-specific physical performance \u2013 agility, explosiveness, speed, strength, and endurance. Established test batteries include those of Bosco et al. (1983) and Margaria et al. (1966); agility assessments such as the Illinois test and the T-test (Miller et al., 2006) and various VO\u2082max protocols, including those applied by Hoff et al. (2002) and Helgerud et al. (2001).<\/p>\n<p>A special place in practice and research is occupied by the Intermittent Recovery Shuttle Test (IRST), also known as the Yo-Yo Intermittent Recovery Test (IR1\/IR2), developed by Bangsbo et al. (2008). This field-based shuttle test is widely used to assess football players\u2019 ability to perform repeated high-intensity efforts with limited recovery. According to Krustrup et al. (2003), IR1 demonstrates high validity and correlates with match actions and VO\u2082max, whereas IR2 is intended for more highly trained athletes. The IRST is sensitive to seasonal variations in training (Mohr et al., 2003) and is employed not only in professional football but also in youth and amateur cohorts (Deprez et al., 2015; Buchheit &amp; Mendez-Villanueva, 2013). Dutch researchers, including Van Hooren and Peake (2018), emphasize that the IRST is among the few tests combining aerobic and anaerobic components. In a systematic review, Asimakidis et al. (2025) compared the IRST with the 30 \u2013 15 Intermittent Fitness Test and concluded that these are the most reliable assessments of intermittent endurance in team sports. The IRST is also used to monitor recovery and adaptation after intense training cycles (Thorpe et al., 2015).<\/p>\n<p>Based on the IRST, Ignatov (2016) assessed the physical fitness of the Sofia University \u2018St. Kliment Ohridski\u2019 student football team. G. Ignatov and E. Atanasov (2017) evaluated the physical capabilities of the student teams of Sofia University \u201cSt. Kliment Ohridski\u201d and the National Sports Academy \u201cVasil Levski\u201d. E. Atanasov, G. Ignatov and K. Lovkov (2019) made a comparative analysis of the physical condition of the Sofia University student team and the Elite U-19 squad of PFC Beroe (Stara Zagora). K. Lovkov (2018) also assessed the physical capabilities of U-17 age group football players.<\/p>\n<p>The accumulated scientific and practical data indicates that the IRST provides reliable, valid, and applicable results for monitoring football players\u2019 physical condition.<\/p>\n<p>Consequently, the training process must be properly targeted and effective, with coaches systematically monitoring players\u2019 physical development.<\/p>\n<p>The purpose of this article is to use the IRST to determine the current physical condition of players from the representative elite U-16 teams of FC \u201cBarocco\u201d (Sofia) and FC \u201cDimitrovgrad 1947\u201d (Dimitrovgrad), and to conduct a comparative analysis of the two teams\u2019 physical performance data.<\/p>\n<p>Based on the values obtained from the conducted research, the results of the two teams should be compared and ways should be sought to optimize their training process.<\/p>\n<p>To achieve the specified goal, we set the following tasks:<\/p>\n<ol>\n<li>By applying the IRST test, we should understand the current physical condition of the football; players from both teams;<\/li>\n<li>To determine the physical development of the players through the data collected on 3 morphological indicators \u2013 height, weight and age and the resulting BMI of the players;<\/li>\n<li>To determine who are the best and least prepared players;<\/li>\n<li>Based on the results obtained, we should optimize the training process.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ol start=\"2\">\n<li><strong>Methods<\/strong><\/li>\n<\/ol>\n<p>The accumulated scientific and practical data indicates that the IRST provides reliable, valid, and applicable results for monitoring football players\u2019 physical condition.<\/p>\n<p>The present study was conducted in August 2024 during the preparatory period of the<\/p>\n<p>representative elite U-16 football teams of FC \u201cBarocco\u201d, Sofia and FC \u201cDimitrovgrad 1947\u201d, Dimitrovgrad.<\/p>\n<p>The object of the study were the players from the representative elite U-16 football teams of FC \u201cBarocco\u201d, Sofia and FC \u201cDimitrovgrad 1947\u201d, Dimitrovgrad.<\/p>\n<p>The subject of the study is the physical fitness of the players from the representative football teams of FC \u201cBarocco\u201d, Sofia and FC \u201cDimitrovgrad 1947\u201d, Dimitrovgrad.<\/p>\n<p>The study contingent was 44 players \u2013 22 from each team. All players are 16 years old.<\/p>\n<p>To assess physical fitness, players completed the IRST (Intermittent Recovery Shuttle Test) wearing appropriate shoes (\u201ccentipedes\u201d). Testing took place at each club\u2019s facility: the \u201cBonsist\u201d Stadium (Studentski Grad, Sofia) for FC \u201cBarocco\u201d, and the \u201cMiner\u201d Stadium (Dimitrovgrad) for FC \u201cDimitrovgrad 1947\u201d.<\/p>\n<p>Required equipment for completing the test:<\/p>\n<p>\u2013 Two tall cones per player;<\/p>\n<p>\u2013 Four small cones per player;<\/p>\n<p>\u2013 Sound system;<\/p>\n<p>\u2013 Test administration protocol;<\/p>\n<p>\u2013 A coach\/supervisor to ensure correct test execution.<\/p>\n<p>The applied IRST provided information on aerobic endurance \u2013 i.e., the ability to sustain intermittent running at progressively increasing speeds, typically for &gt;10 minutes. The Maximum Test was applied: each player continued running until failure.<\/p>\n<p>Test description: The outer shuttle distance between points A and B is 20 m. Two inner cones are placed 3 m inside from points A and B, creating an inner shuttle distance of 14 m between the inner cones. The test starts at point A, when the competitors hear the sound signal from a previously prepared sound system. If the competitor has reached the cone (point A or point B) and the sound signal has not sounded, the examinee must wait until it sounds. If the competitor hears the sound signal and is in the 3-meter zone, the test continues, but if during the sound signal the competitor is in the 14-meter zone, a penalty point is awarded. If a competitor makes 2 penalty points, his participation in the test is terminated.<\/p>\n<p>The test includes a break. During the break, players walk to and from the small cones, which are positioned 8 m outside the large (outer) cones, regardless of which side of the track they are on (Figure 1).<\/p>\n<p>During the test, at least one coach is required for every four players. Coaches monitor correct execution, record distances covered, and provide standardized encouragement.<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-252831 size-full\" src=\"https:\/\/azbuki.bg\/wp-content\/uploads\/2026\/11\/susportisti-03-fig01.jpg\" alt=\"\" width=\"889\" height=\"256\" srcset=\"https:\/\/press.azbuki.bg\/wp-content\/uploads\/2026\/11\/susportisti-03-fig01.jpg 889w, https:\/\/press.azbuki.bg\/wp-content\/uploads\/2026\/11\/susportisti-03-fig01-300x86.jpg 300w, https:\/\/press.azbuki.bg\/wp-content\/uploads\/2026\/11\/susportisti-03-fig01-768x221.jpg 768w, https:\/\/press.azbuki.bg\/wp-content\/uploads\/2026\/11\/susportisti-03-fig01-750x216.jpg 750w\" sizes=\"(max-width: 889px) 100vw, 889px\" \/><\/p>\n<p style=\"text-align: center;\"><strong>Figure 1.<\/strong> IRST test<\/p>\n<p>During the test, at least one coach is required for every four players. Coaches monitor correct execution, record distances covered, and provide standardized encouragement.<\/p>\n<p>To determine players\u2019 physical development, data was collected on three morphological indicators \u2013 height, weight, and age \u2013 and computed BMI, as well as it extracted the main IRST parameters: speed (km\/h), number of runs per stage, and total number of runs.<\/p>\n<p>All data were mathematically and statistically processed using a specialised computer program IBM \u201cSPSS 19\u201d and \u201cExcel\u201d. Depending on the study aims, the Kolmogorov\u2013Smirnov test and the index method were applied.<\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<ol start=\"3\">\n<li><strong>Results and Discussion <\/strong><\/li>\n<\/ol>\n<p>In the athletes from both teams, age was uniform: all 44 players (22 per team) were 16 years old.<\/p>\n<p>For FC \u201cBarocco\u201d, body mass ranged from 53 to 86 kg, with a mean of 69.4 kg (Figure 2) and a range of 33 kg. The standard deviation was 8.07 kg, and the coefficient of variation was V = 11.63%, indicating a homogeneous sample (V &lt; 12%). According to the Kolmogorov\u2013Smirnov (K\u2013S) test, the distribution was normal (Sig &gt; 0.05). The skewness and kurtosis coefficients also supported normality (As = 0.01 &lt; 0.927; Ex = \u22120.35 &lt; 1.803) for a sample size of n = 22 (Table 1).<\/p>\n<p>In the studied athletes from FC \u201cDimitrovgrad\u201d, the minimum recorded weight value is 55 kg, and the maximum 77 kg. The range is 22 kg. The average value that was calculated is 64.8 kg (Figure 2), and the standard deviation is 6.08 kg. The coefficient of variation is V=9.38, which shows that the sample is homogeneous (V &lt; 0-12%). According to the Kolmogorov-Smirnov (K-S) test, the distribution of the values is normal (Sig &gt; 0.05). Here too, the coefficients of asymmetry and kurtosis show that the distribution of the trait is normal (As = 0.17 &lt; 0.927 and Ex = -0.94 &lt; 1.803) with a sample size of n=22 (Table 1).<\/p>\n<p><em>\u00a0<\/em><\/p>\n<p><strong>Table 1.<\/strong> Weight of the studied football players (kg)<\/p>\n<table width=\"583\">\n<tbody>\n<tr>\n<td colspan=\"12\" width=\"583\"><strong>Weight\u00a0 (kg)<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"31\"><strong>\u2116<\/strong><\/td>\n<td width=\"100\"><strong>Club<\/strong><\/td>\n<td width=\"29\"><strong>n<\/strong><\/td>\n<td width=\"59\"><strong>\u0425min <\/strong><\/td>\n<td width=\"59\"><strong>Xmax<\/strong><\/td>\n<td width=\"40\"><strong>R<\/strong><\/td>\n<td width=\"40\"><strong>X\u0305<\/strong><\/td>\n<td width=\"40\"><strong>S<\/strong><\/td>\n<td width=\"48\"><strong>V<\/strong><\/td>\n<td width=\"48\"><strong>As<\/strong><\/td>\n<td width=\"48\"><strong>Ex<\/strong><\/td>\n<td width=\"38\"><strong>K-S<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"31\">1<\/td>\n<td width=\"100\">Barocco<\/td>\n<td width=\"29\">22<\/td>\n<td width=\"59\">53.0<\/td>\n<td width=\"59\">86.0<\/td>\n<td width=\"40\">33.0<\/td>\n<td width=\"40\">69.4<\/td>\n<td width=\"40\">8.07<\/td>\n<td width=\"48\">11.63<\/td>\n<td width=\"48\">0.01<\/td>\n<td width=\"48\">-0.35<\/td>\n<td width=\"38\">0.20<\/td>\n<\/tr>\n<tr>\n<td width=\"31\">2<\/td>\n<td width=\"100\">Dimitrovgrad<\/td>\n<td width=\"29\">22<\/td>\n<td width=\"59\">55.0<\/td>\n<td width=\"59\">77.0<\/td>\n<td width=\"40\">22.0<\/td>\n<td width=\"40\">64.8<\/td>\n<td width=\"40\">6.08<\/td>\n<td width=\"48\">9.38<\/td>\n<td width=\"48\">0.17<\/td>\n<td width=\"48\">-0.94<\/td>\n<td width=\"38\">0.20<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><em>Note:<\/em> The critical values of the skewness and kurtosis coefficients at n=22 and<\/p>\n<p>\u03b1=0.05 are equal to 0.927 and 1.803<\/p>\n<p>&nbsp;<\/p>\n<p style=\"text-align: center;\"><strong><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-252832 size-full\" src=\"https:\/\/azbuki.bg\/wp-content\/uploads\/2026\/11\/susportisti-03-fig02.jpg\" alt=\"\" width=\"653\" height=\"398\" srcset=\"https:\/\/press.azbuki.bg\/wp-content\/uploads\/2026\/11\/susportisti-03-fig02.jpg 653w, https:\/\/press.azbuki.bg\/wp-content\/uploads\/2026\/11\/susportisti-03-fig02-300x183.jpg 300w\" sizes=\"(max-width: 653px) 100vw, 653px\" \/>\u00a0<\/strong><strong>Figure 2.<\/strong> Weight values of the studied football players<\/p>\n<p>For FC \u201cBarocco\u201d, stature ranged from 165 to 190 cm, with a mean of 179.1 cm (Figure 3) and a range of 25 cm. The standard deviation was 6.36 cm. Skewness and kurtosis were below their critical values (As = \u22120.31 &lt; 0.927; Ex = 0.49 &lt; 1.803) with a sample size of n = 22 (Table 2).<\/p>\n<p>For FC \u201cDimitrovgrad\u201d, stature ranged from 164 to 192 cm, with a mean of 176.3 cm (Figure 3) and a range of 28 cm. The standard deviation was 7.0 cm. Skewness and kurtosis were below their critical values (As = 0.27 &lt; 0.927 and Ex = 0.01 &lt; 1.803) with a sample size of n = 22 (Table 2).<\/p>\n<p>The coefficient of variation (V) for height was 3.55% in FC \u201cBarocco\u201d and 3.97% in FC \u201cDimitrovgrad,\u201d indicating homogeneity in both groups (V &lt; 10 \u2013 12%). The Kolmogorov\u2013Smirnov test also supported normal distributions in both teams (Sig &gt; 0.05).<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Table 2.<\/strong> Height of the studied football players (cm)<\/p>\n<table width=\"586\">\n<tbody>\n<tr>\n<td colspan=\"12\" width=\"586\"><strong>Height\u00a0 (cm)<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"31\"><strong>\u2116<\/strong><\/td>\n<td width=\"100\"><strong>Club<\/strong><\/td>\n<td width=\"29\"><strong>n<\/strong><\/td>\n<td width=\"59\"><strong>\u0425min <\/strong><\/td>\n<td width=\"59\"><strong>Xmax<\/strong><\/td>\n<td width=\"40\"><strong>R<\/strong><\/td>\n<td width=\"48\"><strong>X\u0305<\/strong><\/td>\n<td width=\"40\"><strong>S<\/strong><\/td>\n<td width=\"40\"><strong>V<\/strong><\/td>\n<td width=\"49\"><strong>As<\/strong><\/td>\n<td width=\"48\"><strong>Ex<\/strong><\/td>\n<td width=\"40\"><strong>K-S<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"31\">1<\/td>\n<td width=\"100\">Barocco<\/td>\n<td width=\"29\">22<\/td>\n<td width=\"59\">165.0<\/td>\n<td width=\"59\">190.0<\/td>\n<td width=\"40\">25.0<\/td>\n<td width=\"48\">179.1<\/td>\n<td width=\"40\">6.36<\/td>\n<td width=\"40\">3.55<\/td>\n<td width=\"49\">-0.31<\/td>\n<td width=\"48\">0.49<\/td>\n<td width=\"40\">0.20<\/td>\n<\/tr>\n<tr>\n<td width=\"31\">2<\/td>\n<td width=\"100\">Dimitrovgrad<\/td>\n<td width=\"29\">22<\/td>\n<td width=\"59\">164.0<\/td>\n<td width=\"59\">192.0<\/td>\n<td width=\"40\">28.0<\/td>\n<td width=\"48\">176.3<\/td>\n<td width=\"40\">7.00<\/td>\n<td width=\"40\">3.97<\/td>\n<td width=\"49\">0.27<\/td>\n<td width=\"48\">0.01<\/td>\n<td width=\"40\">0.20<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-252833 size-full\" src=\"https:\/\/azbuki.bg\/wp-content\/uploads\/2026\/11\/susportisti-03-fig03.jpg\" alt=\"\" width=\"631\" height=\"388\" srcset=\"https:\/\/press.azbuki.bg\/wp-content\/uploads\/2026\/11\/susportisti-03-fig03.jpg 631w, https:\/\/press.azbuki.bg\/wp-content\/uploads\/2026\/11\/susportisti-03-fig03-300x184.jpg 300w\" sizes=\"(max-width: 631px) 100vw, 631px\" \/><\/p>\n<p style=\"text-align: center;\"><strong>Figure 3.<\/strong> Height values of the studied football players<\/p>\n<p>For FC \u201cBarocco\u201d, BMI ranged from 19.0 to 25.1 (kg)\/(m\u00b2), with a mean of 21.6 (Figure 4) and a range of 6.1. The standard deviation was 1.86, and the coefficient of variation was V = 8.60%, indicating a homogeneous sample (V &lt; 10 \u2013 12%). The Kolmogorov\u2013Smirnov (K\u2013S) test indicated normality (Sig &gt; 0.05). Skewness and kurtosis were within critical bounds (As = 0.80 &lt; 0.927 and Ex = \u22120.37 &lt; 1.803) with a sample size of n = 22 (Table 3).<\/p>\n<p>For FC \u201cDimitrovgrad\u201d, BMI ranged from 19.0 to 23.1 (kg)\/(m\u00b2), range = 4.1, with a mean of 20.8 (Figure 4) and a standard deviation of 1.20. The coefficient of variation was V = 5.77%, indicating a homogeneous sample (V &lt; 10 \u2013 12%). The Kolmogorov\u2013Smirnov (K\u2013S) test indicated normality (Sig &gt; 0.05). Skewness and kurtosis were within critical bounds (As = 0.21 &lt; 0.927 and Ex = \u22120.99 &lt; 1.803) with a sample size of n = 22 (Table 3).<\/p>\n<p><strong>\u00a0<\/strong><\/p>\n<p><strong>Table 3.<\/strong> BMI of the studied football players<\/p>\n<table width=\"586\">\n<tbody>\n<tr>\n<td colspan=\"12\" width=\"586\"><strong>BMI\u00a0 ((kg)\/(m)2) <\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"31\"><strong>\u2116<\/strong><\/td>\n<td width=\"104\"><strong>Club<\/strong><\/td>\n<td width=\"29\"><strong>n<\/strong><\/td>\n<td width=\"57\"><strong>\u0425min <\/strong><\/td>\n<td width=\"54\"><strong>Xmax<\/strong><\/td>\n<td width=\"45\"><strong>R<\/strong><\/td>\n<td width=\"45\"><strong>X\u0305<\/strong><\/td>\n<td width=\"40\"><strong>S<\/strong><\/td>\n<td width=\"40\"><strong>V<\/strong><\/td>\n<td width=\"51\"><strong>As<\/strong><\/td>\n<td width=\"48\"><strong>Ex<\/strong><\/td>\n<td width=\"40\"><strong>K-S<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"31\">1<\/td>\n<td width=\"104\">Barocco<\/td>\n<td width=\"29\">22<\/td>\n<td width=\"57\">19.0<\/td>\n<td width=\"54\">25.1<\/td>\n<td width=\"45\">6.1<\/td>\n<td width=\"45\">21.6<\/td>\n<td width=\"40\">1.86<\/td>\n<td width=\"40\">8.60<\/td>\n<td width=\"51\">0.80<\/td>\n<td width=\"48\">-0.37<\/td>\n<td width=\"40\">0.14<\/td>\n<\/tr>\n<tr>\n<td width=\"31\">2<\/td>\n<td width=\"104\">Dimitrovgrad<\/td>\n<td width=\"29\">22<\/td>\n<td width=\"57\">19.0<\/td>\n<td width=\"54\">23.1<\/td>\n<td width=\"45\">4.1<\/td>\n<td width=\"45\">20.8<\/td>\n<td width=\"40\">1.20<\/td>\n<td width=\"40\">5.77<\/td>\n<td width=\"51\">0.21<\/td>\n<td width=\"48\">-0.99<\/td>\n<td width=\"40\">0.11<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>\u00a0<\/strong><\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-252835 size-full\" src=\"https:\/\/azbuki.bg\/wp-content\/uploads\/2026\/11\/susportisti-03-fig04.jpg\" alt=\"\" width=\"623\" height=\"386\" srcset=\"https:\/\/press.azbuki.bg\/wp-content\/uploads\/2026\/11\/susportisti-03-fig04.jpg 623w, https:\/\/press.azbuki.bg\/wp-content\/uploads\/2026\/11\/susportisti-03-fig04-300x186.jpg 300w\" sizes=\"(max-width: 623px) 100vw, 623px\" \/><\/p>\n<p style=\"text-align: center;\"><strong>Figure 4.<\/strong> BMI values in the studied football players<\/p>\n<p>For FC \u201cBarocco\u201d, the mean number of shuttles completed on the IRST was 86.30 (corresponding to 15.00 km\/h). The minimum was 62 shuttles (14.00 km\u00b7h\u207b\u00b9) and the maximum was 117 shuttles (16.00 km\u00b7h\u207b\u00b9). The standard deviation was 12.37 shuttles. Skewness and kurtosis were within critical bounds (As = 0.59 &lt; 0.927 and Ex = 0.91 &lt; 1.803) with a sample size of n=22 (Table 4).<\/p>\n<p>For FC \u201cDimitrovgrad\u201d, IRST performance ranged from 64 to 110 shuttles (14.00\u201316.00 km\/h). The mean was 79.9 shuttles (15.00 km\/h) with a standard deviation of 10.47. Skewness was within the critical bound (As = 0.82 &lt; 0.927), whereas kurtosis exceeded it (Ex = 2.15 &gt; 1.803), indicating a leptokurtic distribution with results concentrated more tightly around the mean (Table 4 and Figure 5).<\/p>\n<p>The coefficient of variation (V) for IRST performance was 14.32% in FC \u201cBarocco\u201d and 13.10% in FC \u201cDimitrovgrad\u201d, indicating broadly comparable variability between teams (10% &lt; V &lt; 30%). The Kolmogorov\u2013Smirnov test supported normal distributions in both groups (Sig &gt; 0.05).<\/p>\n<p>&nbsp;<\/p>\n<p><strong>Table 4.<\/strong> IRST values in the studied football players (number of runs)<\/p>\n<table width=\"587\">\n<tbody>\n<tr>\n<td colspan=\"12\" width=\"587\"><strong>IRST\u00a0 (number of runs)\u00a0 <\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"31\"><strong>\u2116<\/strong><\/td>\n<td width=\"100\"><strong>Club<\/strong><\/td>\n<td width=\"29\"><strong>n<\/strong><\/td>\n<td width=\"59\"><strong>\u0425min <\/strong><\/td>\n<td width=\"58\"><strong>Xmax<\/strong><\/td>\n<td width=\"40\"><strong>R<\/strong><\/td>\n<td width=\"47\"><strong>X\u0305<\/strong><\/td>\n<td width=\"48\"><strong>S<\/strong><\/td>\n<td width=\"48\"><strong>V<\/strong><\/td>\n<td width=\"40\"><strong>As<\/strong><\/td>\n<td width=\"44\"><strong>Ex<\/strong><\/td>\n<td width=\"42\"><strong>K-S<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"31\">1<\/td>\n<td width=\"100\">Barocco<\/td>\n<td width=\"29\">22<\/td>\n<td width=\"59\">62.0<\/td>\n<td width=\"58\">117.0<\/td>\n<td width=\"40\">55.0<\/td>\n<td width=\"47\">86.3<\/td>\n<td width=\"48\">12.37<\/td>\n<td width=\"48\">14.32<\/td>\n<td width=\"40\">0.59<\/td>\n<td width=\"44\">0.91<\/td>\n<td width=\"42\">0.20<\/td>\n<\/tr>\n<tr>\n<td width=\"31\">2<\/td>\n<td width=\"100\">Dimitrovgrad<\/td>\n<td width=\"29\">22<\/td>\n<td width=\"59\">64.0<\/td>\n<td width=\"58\">110.0<\/td>\n<td width=\"40\">46.0<\/td>\n<td width=\"47\">79.9<\/td>\n<td width=\"48\">10.47<\/td>\n<td width=\"48\">13.10<\/td>\n<td width=\"40\">0.82<\/td>\n<td width=\"44\">2.15<\/td>\n<td width=\"42\">0.20<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-252836 size-full\" src=\"https:\/\/azbuki.bg\/wp-content\/uploads\/2026\/11\/susportisti-03-fig05.jpg\" alt=\"\" width=\"631\" height=\"391\" srcset=\"https:\/\/press.azbuki.bg\/wp-content\/uploads\/2026\/11\/susportisti-03-fig05.jpg 631w, https:\/\/press.azbuki.bg\/wp-content\/uploads\/2026\/11\/susportisti-03-fig05-300x186.jpg 300w\" sizes=\"(max-width: 631px) 100vw, 631px\" \/><\/p>\n<p style=\"text-align: center;\"><strong>Figure 5.<\/strong> IRST values in the studied football players<\/p>\n<p>&nbsp;<\/p>\n<ol start=\"4\">\n<li><strong>Conclusion<\/strong><\/li>\n<\/ol>\n<p>Regarding the height of the studied athletes, differences were registered in favor of the athletes from FC \u201cBarocco\u201d. The average value of the athletes from FC \u201cBarocco\u201d is 179.1 cm, and that of the athletes from FC \u201cDimitrovgrad\u201d is 176.3 cm. In relation to the weight of the studied athletes, it turns out that those from FC \u201cBarocco\u201d have higher values (69.4 kg) than those from FC \u201cDimitrovgrad\u201d (64.8). One of the reasons for the difference of 4.6 kg may be due to the lower height of the athletes from FC \u201cDimitrovgrad\u201d. In terms of BMI, the average value of the athletes from the FC \u201cBarocco\u201d team is 21.6, and that of those from FC \u201cDimitrovgrad\u201d is 19.<\/p>\n<p>Using the IRST, we assessed the current aerobic capacity of both teams, with an advantage for FC \u201cBarocco\u201d: the mean number of shuttles was 86.30 versus 79.9 for FC \u201cDimitrovgrad\u201d. The minimum values were similar between teams (62 shuttles for FC \u201cBarocco\u201d and 64 shuttles for FC \u201cDimitrovgrad\u201d).<\/p>\n<p>FC Barocco\u2019s players showed a higher IRST score (86.30) and a wider range of results, suggesting good overall fitness but also greater within-team heterogeneity\u2014some players complete substantially more shuttles while others lag behind. FC Dimitrovgrad\u2019s players had a lower mean (79.9) with smaller dispersion; however, the elevated kurtosis (Ex = 2.15) indicates a sharp, leptokurtic distribution in which most players cluster near the mean and a few outliers (very high or very low) fall beyond typical bounds.<\/p>\n<p>Based on previous research, the minimum values observed here are relatively low, likely due to the inclusion of goalkeepers and the positional demands of their role. The maximum values were 117 shuttles for Barocco and 110 for Dimitrovgrad. The teams\u2019 mean IRST scores (\u224879\u201386 shuttles) fall within the reported average range for U-17 players (74\u201391 shuttles), while the maximum scores (110\u2013117) align with a \u201cvery high\u201d classification (&gt;108 shuttles) when compared with the findings of Krum Lovkov (2018).<\/p>\n<p>Based on the study of U-16 players from two Bulgarian teams located roughly 220 km apart, FC \u201cBarocco\u201d fielded larger players on average, which is associated with higher mean physical output but may warrant stricter individualized nutritional oversight. FC \u201cDimitrovgrad\u201d players were lighter, more compact, and more uniform, which facilitates standardized group training loads; however, additional physical reserves may be developed in some individuals.<\/p>\n<p>Briefly segmenting each team into subgroups, then applying targeted interventions in strength, interval running, and nutrition \u2013 followed by gradual reintegration and continuous monitoring \u2013 can reduce internal disparities and build a stable, homogeneous physical base without compromising athletes\u2019 individual strengths.<\/p>\n<p>By optimizing and targeting the training process to improve the players\u2019 aerobic capacity, both teams can achieve greater homogeneity in physical condition across the studied indicators.<\/p>\n<p>&nbsp;<\/p>\n<p><strong><em>Acknowledgement<\/em><\/strong><\/p>\n<p>This study is financed by the European Union-NextGenerationEU, through the National Recovery and Resilience Plan of the Republic of Bulgaria, project No BG-RRP-2.004-0008.<\/p>\n<p>&nbsp;<\/p>\n<p><strong>REFERENCES<\/strong><\/p>\n<p>Asimakidis, N. 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International <em>Journal of Sports Physiology and Performance<\/em>, <em>10<\/em>(8), 958 \u2013 964. <a href=\"https:\/\/doi.org\/10.1123\/ijspp.2015-0004\">https:\/\/doi.org\/10.1123\/ijspp.2015-0004<\/a>.<\/p>\n<p>Van Hooren, B., &amp; Peake, J. M. (2018). Do we need a cool-down after exercise? A narrative review of the psychophysiological effects and the effects on performance, injuries and the long-term adaptive response. <em>Sports Medicine<\/em>, <em>48<\/em>, 1575 \u2013 1595. <a href=\"https:\/\/doi.org\/10.1007\/s40279-018-0916-2\">https:\/\/doi.org\/10.1007\/s40279-018-0916-2<\/a>.<\/p>\n<p>Zhelyazkov, T. &amp; Dasheva, D. (2006). <em>Fundamentals of sports training<\/em>. Gera Art. ISBN 954-90510-9-9. [In Bulgarian].<\/p>","protected":false},"excerpt":{"rendered":"<p>Prof. Dr. Georgi Ignatov ORCID iD: 0000-0002-3264-8376 Sector \u201cSports Games and Mountain Sports\u201d Department of Sport Sofia University \u201cSt. Kliment Ohridski\u201d Sofia, Bulgaria E-mail: gvignatov@uni-sofia.bg https:\/\/doi.org\/10.53656\/ctpes-2026.GI PDF Pages 33-43 Abstract. The purpose of this scientific article is to use the IRST test to determine the current physical condition of football players from the representative elite [&hellip;]<\/p>","protected":false},"author":124332423427287,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jnews-multi-image_gallery":[],"jnews_single_post":[],"jnews_primary_category":[]},"categories":[20947],"tags":[11226,20958,19898,20960,20961,20959],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Control and Assessment of the Physical Capabilities of Football Players - \u0410\u0437-\u0431\u0443\u043a\u0438<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/azbuki.bg\/modern-trends-of-physical-education-and-sports-2025\/control-and-assessment-of-the-physical-capabilities-of-football-players\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Control and Assessment of the Physical Capabilities of Football Players - \u0410\u0437-\u0431\u0443\u043a\u0438\" \/>\n<meta property=\"og:description\" content=\"Prof. Dr. Georgi Ignatov ORCID iD: 0000-0002-3264-8376 Sector \u201cSports Games and Mountain Sports\u201d Department of Sport Sofia University \u201cSt. Kliment Ohridski\u201d Sofia, Bulgaria E-mail: gvignatov@uni-sofia.bg https:\/\/doi.org\/10.53656\/ctpes-2026.GI PDF Pages 33-43 Abstract. 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