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

Year 2025, Volume: 17 Issue: 1, 88 - 98, 26.03.2025

Emre Altundağ , Çağlar Soylu , Bumin Kaan Yıldız , İsa Sağıroğlu , Zeki Akyıldız

https://doi.org/10.55929/besad.1638831

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.

Keywords

Soccer, Heart Rate, perceived exertion

Ethical Statement

This study was approved by Kütahya Dumlupınar University Social and Human Sciences Scientific Research and Publication Ethics Committee on 04/07/2024 with decision number 308

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

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.

Keywords

soccer, heart rate, perceived exertion

References

• 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
• 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
• 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
• 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
• 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.
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• Martin, D. T., & Andersen, M. B. (2000). Heart rate-perceived exertion relationship during training and taper. Journal of Sports Sciences, 18(11), 885-890.
• 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
• 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
• 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.
• 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
• 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
• 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
• 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
• 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