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      Effects of a small-sided games training program in youth male soccer players: variations of the locomotor profile while interacting with baseline level and with the accumulated load

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          Abstract

          Purpose

          This study aimed to (1) analyze the impact of a small-sided game training program in the locomotor profile of youth male soccer players (while interacting with the baseline level – higher and lower level); and (2) test the relationships between variation in locomotor profile and the accumulated demands in 3v3, 5v5 and match over the period of observation.

          Methods

          The cohort lasted 3-weeks. Twenty under-17 male amateur soccer players (16.8 ± 0.41 years; experience: 6.35 ± 0.67 years) were assessed twice for their final velocity at 30−15 intermittent fitness test (VIFT), peak speed at 30-m sprint test (PSS) and anaerobic speed reserve (ASR). The PSS was estimated using a Global Positioning System, while the VIFT was estimated using the maximum level attained by the players during the test. Based on the baseline levels, the scores were standardized using the Z-score. The total score of athleticism (TSA) was calculated per player to organize the players into two groups: lower TSA and higher TSA. Over the three weeks of observation, the small-sided games of 3v3 and 5v5 and match demands were monitored using polar team pro. The heart rate responses (mean and peak), distance covered (overall and split by speed thresholds), and peak speed in these games were obtained and summed over the weeks. The repeated measures ANCOVA tested the variations (time) of the locomotor profile of players while considering the baseline as covariable and the group as a factor. The Pearson-product correlation test analyzed the relationships between variations in locomotor profile (Δ, post-baseline) and the accumulated demands in 3v3, 5v5, and match.

          Results

          Between-groups analysis (lower TSA vs. higher TSA) revealed no significant differences on VIFT ( p = 0.915), PSS ( p = 0.269), ASR ( p = 0.258) and TSA score ( p = 0.138). Within-group (baseline vs. post-observation) analysis revealed significant difference on VIFT ( p < 0.001), PSS ( p = 0.008), while no significant differences were found on ASR ( p = 0.949) and TSA score ( p = 0.619). Significant correlations were found between ΔPSS and match total distance (r = 0.444; p = 0.050), match Z2 (r = 0.481; p = 0.032) and match Z3 (r = 0.454; p = 0.044). Significant correlations were found between ΔTSA and match total distance (r = 0.457; p = 0.043), match Z1 (r = 0.451; p = 0.046), match Z2 (r = 0.500; p = 0.025) and match Z3 (r = 0.468; p = 0.037).

          Conclusion

          Significant improvements were observed after the period of observation. However, the fitness baseline level and the accumulated training load in the small-sided games seem to have no significant impact on the observed improvements.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13102-022-00595-y.

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          Most cited references53

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          Physiology of soccer: an update.

          Soccer is the most popular sport in the world and is performed by men and women, children and adults with different levels of expertise. Soccer performance depends upon a myriad of factors such as technical/biomechanical, tactical, mental and physiological areas. One of the reasons that soccer is so popular worldwide is that players may not need to have an extraordinary capacity within any of these performance areas, but possess a reasonable level within all areas. However, there are trends towards more systematic training and selection influencing the anthropometric profiles of players who compete at the highest level. As with other activities, soccer is not a science, but science may help improve performance. Efforts to improve soccer performance often focus on technique and tactics at the expense of physical fitness. During a 90-minute game, elite-level players run about 10 km at an average intensity close to the anaerobic threshold (80-90% of maximal heart rate). Within this endurance context, numerous explosive bursts of activity are required, including jumping, kicking, tackling, turning, sprinting, changing pace, and sustaining forceful contractions to maintain balance and control of the ball against defensive pressure. The best teams continue to increase their physical capacities, whilst the less well ranked have similar values as reported 30 years ago. Whether this is a result of fewer assessments and training resources, selling the best players, and/or knowledge of how to perform effective exercise training regimens in less well ranked teams, is not known. As there do exist teams from lower divisions with as high aerobic capacity as professional teams, the latter factor probably plays an important role. This article provides an update on the physiology of soccer players and referees, and relevant physiological tests. It also gives examples of effective strength- and endurance-training programmes to improve on-field performance. The cited literature has been accumulated by computer searching of relevant databases and a review of the authors' extensive files. From a total of 9893 papers covering topics discussed in this article, 843 were selected for closer scrutiny, excluding studies where information was redundant, insufficient or the experimental design was inadequate. In this article, 181 were selected and discussed. The information may have important implications for the safety and success of soccer players and hopefully it should be understood and acted upon by coaches and individual soccer players.
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            High-intensity running in English FA Premier League soccer matches.

            The aims of this study were to (1) determine the activity profiles of a large sample of English FA Premier League soccer players and (2) examine high-intensity running during elite-standard soccer matches for players in various playing positions. Twenty-eight English FA Premier League games were analysed during the 2005-2006 competitive season (n=370), using a multi-camera computerised tracking system. During a typical match, wide midfielders (3138 m, s=565) covered a greater distance in high-intensity running than central midfielders (2825 m, s= 73, P=0.04), full-backs (2605 m, s=387, P < 0.01), attackers (2341 m, s=575, P < 0.01), and central defenders (1834 m, s=256, P < 0.01). In the last 15 min of a game, high-intensity running distance was approximately 20% less than in the first 15-min period for wide midfielders (467 m, s=104 vs. 589 m, s=134, P < 0.01), central midfielders (429 m, s=106 vs. 534 m, s=99, P < 0.01), full-backs (389 m, s=95 vs. 481 m, s=114, P < 0.01), attackers (348 m, s=105 vs. 438 m, s=129, P < 0.01), and central defenders (276 m, s=93 vs. 344 m, s=80, P < 0.01). There was a similar distance deficit for high-intensity running with (148 m, s=78 vs. 193 m, s=96, P < 0.01) and without ball possession (229 m, s=85 vs. 278 m, s=97, P < 0.01) between the last 15-min and first 15-min period of the game. Mean recovery time between very high-intensity running bouts was 72 s (s=28), with a 28% longer recovery time during the last 15 min than the first 15 min of the game (83 s, s=26 vs. 65 s, s=20, P < 0.01). The decline in high-intensity running immediately after the most intense 5-min period was more evident in attackers (216 m, s=50 vs. 113 m, s=47, P < 0.01) and central defenders (182 m, s=26 vs. 96 m, s=39, P < 0.01). The results suggest that high-intensity running with and without ball possession is reduced during various phases of elite-standard soccer matches and the activity profiles and fatigue patterns vary among playing positions. The current findings provide valuable information about the high-intensity running patterns of a large sample of elite-standard soccer players, which could be useful in the development and prescription of specific training regimes.
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              Analysis of high intensity activity in Premier League soccer.

              The aim of the present investigation was to provide a detailed analysis of the high intensity running activity completed by elite soccer players during match-play. A further aim of the study was to evaluate the importance of high intensity running activity to overall team success. Observations on individual match performance measures were undertaken on 563 outfield players (median of 8 games per player; range=1-57) competing in the English Premier League from 2003/2004 to 2005/2006 using a computerised tracking system (Prozone, Leeds, England). High intensity activities selected for analysis included total high intensity running distance (THIR), total sprint distance (TSD) and the number and type of sprints undertaken. Total high intensity running distance in possession and without possession of the ball was also analysed. The THIR was dependant upon playing position with wide midfield (1,049+/-106 m) and central defenders (681+/-128 m) completing the highest and lowest distance respectively (p<0.001). High intensity activity was also related to team success with teams finishing in the bottom five (919+/-128 m) and middle ten (917+/-143 m) league positions completing significantly more THIR compared with teams in the top five (885+/-113 m) (p=0.003). The THIR and TSD also significantly declined during the 2nd half with the greatest decrements observed in wide midfield and attacking players (p<0.05). Both positional differences in high intensity activity and the observed change in activity throughout the game were also influenced by team success (p<0.05). The results of the present study indicate that high intensity activity in elite soccer match-play is influenced by both playing position and previous activity in the game. These activity patterns are also dependant upon success of the team. This may indicate that overall technical and tactical effectiveness of the team rather than high levels of physical performance per se are more important in determining success in soccer.
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                Author and article information

                Contributors
                anafilsilva@gmail.com
                rafaeloliveira@esdrm.ipsantarem.pt
                halil.ibrahimceylan60@gmail.com
                zekiakyldz@hotmail.com
                ftgonzalez@ugr.es
                hadi.nobari1@gmail.com , nobari.hadi@unitbv.ro
                mehmetyildiz@aku.edu.tr
                sabribirlik38@gmail.com
                filipe.clemente5@gmail.com
                Journal
                BMC Sports Sci Med Rehabil
                BMC Sports Sci Med Rehabil
                BMC Sports Science, Medicine and Rehabilitation
                BioMed Central (London )
                2052-1847
                23 November 2022
                23 November 2022
                2022
                : 14
                : 198
                Affiliations
                [1 ]GRID grid.27883.36, ISNI 0000 0000 8824 6371, Instituto Politécnico de Viana do Castelo, Rua Escola Industrial e Comercial de Nun’Álvares, , Escola Superior Desporto e Lazer, ; 4900-347 Viana do Castelo, Portugal
                [2 ]Research Center in Sports Performance, Recreation, Innovation and Technology (SPRINT), 4960-320 Melgaço, Portugal
                [3 ]GRID grid.513237.1, The Research Centre in Sports Sciences, Health Sciences and Human Development (CIDESD), ; 5001-801 Vila Real, Portugal
                [4 ]GRID grid.410927.9, ISNI 0000 0001 2171 5310, Sports Science School of Rio Maior–Polytechnic Institute of Santarém, ; 2040-413 Rio Maior, Portugal
                [5 ]GRID grid.512803.d, Life Quality Research Centre, ; 2040-413 Rio Maior, Portugal
                [6 ]GRID grid.411445.1, ISNI 0000 0001 0775 759X, Physical Education and Sports Teaching Department, Kazim Karabekir Faculty of Education, , Ataturk University, ; Erzurum, Turkey
                [7 ]GRID grid.25769.3f, ISNI 0000 0001 2169 7132, Sports Science Department, , Gazi University, ; Ankara, Turkey
                [8 ]GRID grid.4489.1, ISNI 0000000121678994, Department of Physical Education and Sport, Faculty of Education and Sport Sciences, , University of Granada, ; Campus of Melilla, 52006 Melilla, Spain
                [9 ]GRID grid.413026.2, ISNI 0000 0004 1762 5445, Department of Exercise Physiology, Faculty of Educational Sciences and Psychology, , University of Mohaghegh Ardabili, ; Ardabil, 5619911367 Iran
                [10 ]GRID grid.8393.1, ISNI 0000000119412521, Faculty of Sport Sciences, , University of Extremadura, ; 10003 Cáceres, Spain
                [11 ]GRID grid.5120.6, ISNI 0000 0001 2159 8361, Department of Motor Performance, Faculty of Physical Education and Mountain Sports, , Transilvania University of Braşov, ; 500068 Brasov, Romania
                [12 ]GRID grid.411108.d, ISNI 0000 0001 0740 4815, Afyon Kocatepe University Sports Science Faculty, ; Afyon, Turkey
                [13 ]GRID grid.421174.5, ISNI 0000 0004 0393 4941, Instituto de Telecomunicações, ; Delegação da Covilhã, 1049-001 Lisbon, Portugal
                Article
                595
                10.1186/s13102-022-00595-y
                9686017
                36419196
                5e9faede-9b30-4c37-9dc4-cf6715ac93fb
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 5 September 2022
                : 18 November 2022
                Categories
                Research
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                © The Author(s) 2022

                football,drill-based games,heart rate,global positioning systems,athletic performance,physical fitness

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