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Dergiler / Beden Eğitimi ve Spor Araştırmaları Dergisi / 2026 / Cilt: 17 Sayı: 1

Elit Futbol Akademi Ligi Oyuncularında İç ve Diş Antrenman Yükü Metriklerinde Pozisyonel Farklılıklar

Positional Differences in Internal and External Training Load Metrics in Elite Football Academy League Players

Emre Altundağ(KÜTAHYA DUMLUPINAR ÜNİVERSİTESİ, SPOR BİLİMLERİ FAKÜLTESİ)0000-0002-7010-5065
Çağlar Soylu(UNIVERSITY OF HEALTH SCIENCES, INSTITUTE OF HEALTH SCIENCES, PHYSIOTHERAPY AND REHABILITATION (MASTER) (WITH THESIS))0000-0002-1524-6295
Bumin Kaan Yıldız(GAZİ ÜNİVERSİTESİ, SPOR BİLİMLERİ FAKÜLTESİ)0009-0003-0695-1579
İsa Sağıroğlu(TRAKYA ÜNİVERSİTESİ, KIRKPINAR BEDEN EĞİTİMİ VE SPOR YÜKSEKOKULU)0000-0003-1436-9960
Zeki Akyıldız(AFYON KOCATEPE ÜNİVERSİTESİ, SPOR BİLİMLERİ FAKÜLTESİ)0000-0002-1743-5989
Sayfa
88–98
Yayın Tarihi
2025-03-26
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Tailoring training protocols to positional demands can enhance player performance, reduce injury risk, and optimize recovery strategies in elite youth football.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:This study aims to provide guidance for evidence-based training optimization by examining differences in position-specific internal and external training loads of elite youth soccer players.
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Temel Bulgular & Veri:A total of 27 players from a U17 team competing in the Elite Academy League participated in the study, comprising four fullbacks, four forwards, eight wingers, seven midfielders, and four center-backs.
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Sonuç & Katkı:Tailoring training protocols to positional demands can enhance player performance, reduce injury risk, and optimize recovery strategies in elite youth football.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:soccer · heart rate · perceived exertion

Özet

This study aims to provide guidance for evidence-based training optimization by examining differences in position-specific internal and external training loads of elite youth soccer players. A total of 27 players from a U17 team competing in the Elite Academy League participated in the study, comprising four fullbacks, four forwards, eight wingers, seven midfielders, and four center-backs. The mean age of the players was 17 years, the mean height was 179.19 ± 6.05 cm, and the mean body weight was 71.62 ± 6.38 kg. Data were collected during the competition period. Internal training load was assessed using heart rate (minimum, average, and maximum) and Rating of Perceived Exertion (RPE). External load parameters included measures such as total distance, number of sprints, accelerations and decelerations, and time spent in Speed Zone 4 (21.0-23.99 km/h) and Speed Zone 5 (24.0 > km/h). The statistical analysis using the Kruskal-Wallis test determined the significance level as p ≤ 0.05. As a result of the study, significant differences were found among the values of Sprint (p < 0.001), Speed Zone 5 (p < 0.001), Acceleration (p < 0.001), Deceleration (p = 0.029), Training Load (p < 0.001) and Maximum Heart Rate (p < 0.001) according to positions. These findings emphasize the specific physical and physiological requirements of each position. Therefore, coaches and sports scientists must develop position-specific training programs considering these requirements. Such an approach can help athletes improve their performance, reduce the risk of injury, and ensure an effective recovery process. Tailoring training protocols to positional demands can enhance player performance, reduce injury risk, and optimize recovery strategies in elite youth football.

Abstract

This study aims to provide guidance for evidence-based training optimization by examining differences in position-specific internal and external training loads of elite youth soccer players. A total of 27 players from a U17 team competing in the Elite Academy League participated in the study, comprising four fullbacks, four forwards, eight wingers, seven midfielders, and four center-backs. The mean age of the players was 17 years, the mean height was 179.19 ± 6.05 cm, and the mean body weight was 71.62 ± 6.38 kg. Data were collected during the competition period. Internal training load was assessed using heart rate (minimum, average, and maximum) and Rating of Perceived Exertion (RPE). External load parameters included measures such as total distance, number of sprints, accelerations and decelerations, and time spent in Speed Zone 4 (21.0-23.99 km/h) and Speed Zone 5 (24.0 > km/h). The statistical analysis using the Kruskal-Wallis test determined the significance level as p ≤ 0.05. As a result of the study, significant differences were found among the values of Sprint (p < 0.001), Speed Zone 5 (p < 0.001), Acceleration (p < 0.001), Deceleration (p = 0.029), Training Load (p < 0.001) and Maximum Heart Rate (p < 0.001) according to positions. These findings emphasize the specific physical and physiological requirements of each position. Therefore, coaches and sports scientists must develop position-specific training programs considering these requirements. Such an approach can help athletes improve their performance, reduce the risk of injury, and ensure an effective recovery process. Tailoring training protocols to positional demands can enhance player performance, reduce injury risk, and optimize recovery strategies in elite youth football.

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Bu Makaleye Atıf Yap

Altundağ, E., Soylu, Ç., Yıldız, B. K., Sağıroğlu, İ., Akyıldız, Z. (2025). Elit Futbol Akademi Ligi Oyuncularında İç ve Diş Antrenman Yükü Metriklerinde Pozisyonel Farklılıklar. Beden Eğitimi ve Spor Araştırmaları Dergisi, Cilt: 17 Sayı: 1, 88–98. https://doi.org/10.55929/besad.1638831

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Kaynakça (29)

  1. Akenhead, R., & Nassis, G. P. (2016). Training load and player monitoring in high-level football: current practice and perceptions. International Journal of Sports Physiology and Performance, 11(5), 587-593. https://doi.org/10.1123/ijspp.2015-0331
  2. Akenhead, R., Harley, J. A., & Tweddle, S. P. (2016). Examining the external training load of an English premier league football team with special reference to acceleration. Journal of Strength and Conditioning Research, 30(9), 2424-2432. https://doi.org/10.1519/JSC.0000000000001343
  3. Arjol-Serrano, J. L., Lampre, M., Díez, A., Castillo, D., Sanz-López, F., & Lozano, D. (2021). The influence of playing formation on physical demands and technical-tactical actions according to playing positions in an elite soccer team. International Journal of Environmental Research and Public Health, 18(8), 4148. https://doi.org/10.3390/ijerph18084148
  4. Baptista, I., Johansen, D., Seabra, A., & Pettersen, S. A. (2018). Position specific player load during match-play in a professional football club. PLOS ONE, 13(5), e0198115. https://doi.org/10.1371/journal.pone.0198115
  5. Bloomfield, J., Polman, R., & O'Donoghue, P. (2007). Physical demands of different positions in FA Premier League soccer. Journal of Sports Science and Medicine, 6(1), 63-70.
  6. Bortnik, L., Bruce-Low, S., Burger, J., Alexander, J., Harper, D., Morgans, R., Carling, C., McDaid, K., & Rhodes, D. (2024). Physical match demands across different playing positions during transitional play and high-pressure activities in elite soccer. Biology of Sport, 41(2), 73-82. https://doi.org/10.5114/biolsport.2024.131815
  7. Bourdon, P. C., Cardinale, M., Murray, A., Gastin, P., Kellmann, M., Varley, M. C., Gabbett, T. J., Coutts, A. J., Burgess, D. J., Gregson, W., & Cable, N. T. (2017). Monitoring athlete training loads: consensus statement. International Journal of Sports Physiology and Performance, 12(s2), 161-170. https://doi.org/10.1123/IJSPP.2017-0208
  8. Borresen, J., & Lambert, M. I. (2009). The quantification of training load, the training response, and the effect on performance. Sports Medicine, 39(9), 779-795. https://doi.org/10.2165/11317780-000000000-00000
  9. Buchheit, M., & Simpson, B. M. (2017). Player-tracking technology: half-full or half-empty glass? International Journal of Sports Physiology and Performance, 12(s2), S2-35-S2-41. https://doi.org/10.1123/ijspp.2016-0499
  10. Buchheit, M., Lacome, M., Cholley, Y., & Simpson, B. M. (2018). Neuromuscular responses to conditioned soccer sessions assessed via gps-embedded accelerometers: insights into tactical periodization. International Journal of Sports Physiology and Performance, 13(5), 577-583. https://doi.org/10.1123/ijspp.2017-0045
  11. Casamichana, D., Castellano, J., Calleja-González, J., San Román, J., & Castagna, C. (2013). Relationship between indicators of training load in soccer players. Journal of Strength and Conditioning Research, 27(2), 369-374. https://doi.org/10.1519/JSC.0b013e3182548af1
  12. Castellano, J., Blanco-Villaseñor, A., & Álvarez, D. (2011). Contextual variables and time-motion analysis in soccer. International Journal of Sports Medicine, 32(06), 415-421. https://doi.org/10.1055/s-0031-1271771
  13. de Dios-Álvarez, V., Alkain, P., Castellano, J., & Rey, E. (2021). Accumulative weekly external and internal load relative to match load in elite male youth soccer players. Pediatric Exercise Science, 34(3), 119-124. https://doi.org/10.1123/pes.2021-0048
  14. Djaoui, L., Haddad, M., Chamari, K., & Dellal, A. (2017). Monitoring training load and fatigue in soccer players with physiological markers. Physiology & Behavior, 181, 86-94. https://doi.org/10.1016/j.physbeh.2017.09.004
  15. Evangelio, C., Sierra-Díaz, M. J., González-Víllora, S., & Clemente, F. M. (2019). Four goals for three players: Using 3 vs. 3 small-sided games at school. Human Movement, 20(4), 68-78. https://doi.org/10.5114/hm.2019.85096
  16. Halson, S. L. (2014). Monitoring training load to understand fatigue in athletes. Sports Medicine, 44(Suppl 2), 139-147. https://doi.org/10.1007/s40279-014-0253-z
  17. Low, B., Rein, R., Schwab, S., & Memmert, D. (2022). Defending in 4-4-2 or 5-3-2 formation? Small differences in footballers’ collective tactical behaviours. Journal of Sports Sciences, 40(3), 351-363. https://doi.org/10.1080/02640414.2021.1993655
  18. Maddison, R., & Ni Mhurchu, C. (2009). Global positioning system: a new opportunity in physical activity measurement. International Journal of Behavioral Nutrition and Physical Activity, 6(1), 73. https://doi.org/10.1186/1479-5868-6-73
  19. Malone, S., Owen, A., Newton, M., Mendes, B., Collins, K. D., & Gabbett, T. J. (2017). The acute:chronic workload ratio in relation to injury risk in professional soccer. Journal of Science and Medicine in Sport, 20(6), 561-565. https://doi.org/10.1016/j.jsams.2016.10.014
  20. Martín-García, A., Gómez Díaz, A., Bradley, P. S., Morera, F., & Casamichana, D. (2018). Quantification of a professional football team’s external load using a microcycle structure. Journal of Strength and Conditioning Research, 32(12), 3511-3518. https://doi.org/10.1519/JSC.0000000000002816
  21. Martin, D. T., & Andersen, M. B. (2000). Heart rate-perceived exertion relationship during training and taper. Journal of Sports Sciences, 18(11), 885-890.
  22. Maughan, P. C., MacFarlane, N. G., & Swinton, P. A. (2021). Relationship between subjective and external training load variables in youth soccer players. International Journal of Sports Physiology and Performance, 16(8), 1127-1133. https://doi.org/10.1123/ijspp.2019-0956
  23. Nobari, H., Alves, A. R., Haghighi, H., Clemente, F. M., Carlos-Vivas, J., Pérez-Gómez, J., & Ardigò, L. P. (2021). Association between training load and well-being measures in young soccer players during a season. International Journal of Environmental Research and Public Health, 18(9), 4451. https://doi.org/10.3390/ijerph18094451
  24. Nobari, H., Fani, M., Pardos-Mainer, E., & Pérez-Gómez, J. (2020). Fluctuations in wellbeing based on position in elite young soccer players during a full season. Healthcare, 8(3), 290.
  25. Oliveira, R., Brito, J. P., Martins, A., Mendes, B., Marinho, D. A., Ferraz, R., & Marques, M. C. (2019). In-season internal and external training load quantification of an elite European soccer team. PLOS ONE, 14(4), e0209393. https://doi.org/10.1371/journal.pone.0209393
  26. Sarmento, H., Martinho, D. V., Gouveia, É. R., Afonso, J., Chmura, P., Field, A., Savedra, N. O., Oliveira, R., Praça, G., Silva, R., Barrera-Díaz, J., & Clemente, F. M. (2024). The influence of playing position on physical, physiological, and technical demands in adult male soccer matches: a systematic scoping review with evidence gap map. Sports Medicine, 54(11), 2841-2864. https://doi.org/10.1007/s40279-024-02088-z
  27. Silva, H., Nakamura, F. Y., Castellano, J., & Marcelino, R. (2023). Training load within a soccer microcycle week—a systematic review. Strength & Conditioning Journal, 45(5), 568-577. https://doi.org/10.1519/SSC.0000000000000765
  28. Silva, P., Esteves, P., Correia, V., Davids, K., Araújo, D., & Garganta, J. (2015). Effects of manipulations of player numbers vs. field dimensions on inter-individual coordination during small-sided games in youth football. International Journal of Performance Analysis in Sport, 15(2), 641-659. https://doi.org/10.1080/24748668.2015.11868821
  29. Vigh-Larsen, J. F., Dalgas, U., & Andersen, T. B. (2018). Position-specific acceleration and deceleration profiles in elite youth and senior soccer players. Journal of Strength and Conditioning Research, 32(4), 1114-1122. https://doi.org/10.1519/JSC.0000000000001918