Evolution of Technical-Tactical Performance Indicators in College Men’s Football Players (U.S. NCAA Division I)
Abstract
Background: Players, through the different stages of their development, increase their performance due to their maturation process, training, and the increase in their experiences. The college competition in the US allows players to train and compete in a stable context over 4 years in their transition from U18 to senior level. Objective: The objective of the study was to analyse the evolution of game statistics as a function of the year of college of NCAA Division I men’s players. Methodology: The sample was 52,852 Division I National Collegiate Athletic Association (NCAA) players of the United States (2010-2021 seasons). The study design was retrospective non-experimental. The variables studied were games played, games as a starter, points, goals, assists, shot attempts, shots on goal, effectiveness of attempts, effectiveness of shots on goal, fouls, yellow cards, and red cards. To establish the evolution between players from top and bottom teams, one-way ANOVA was used. To analyse the differences according to the top and bottom teams, a T-test and discriminant analysis were performed. Results: The older, more experienced, and trained players were, the more they participated in the game, both in terms of games played and in terms of game actions (assists, shots, and goals). The increase in the effectiveness of shots and shots on goal shows that the evolution in training and experience leads to higher player skill. Conclusion: These findings highlight the importance of experience, training, and maturity in the performance of U-23 male football players.
Keywords
Full Text:
PDFReferences
Berber, E., McLean, S., Beanland, V., Read, G. J. M., & Salmon, P. M. (2020). Defining the attributes for specific playing positions in football match-play: A complex systems approach. Journal of Sports Sciences, 38(11-12), 1248-1258. https://doi.org/10.1080/02640414.2020.1768636
Bishop, C., Brashill, C., Abbott, W., Read, P., Lake, J., & Turner, A. (2021). Jumping asymmetries are associated with speed, change of direction speed, and jump performance in elite academy soccer players. Journal of Strength and Conditioning Research, 35(7), 1841-1847. https://doi.org/10.1519/JSC.0000000000003058
Calero, J., & del Corral, J. (2014). Is human capital protection effective? The case of the Basque Country in Spanish football. Sport, Business and Management: An International Journal, 4(3), 223-236. https://doi.org/10.1108/SBM-07-2013-0025
Correia da Silva, D., Teoldo da Costa, V., Casanova, F., Manuel Clemente, F., & Teoldo, I. (2019). Comparison between teams of different ranks in small-sided and conditioned games tournaments. International Journal of Performance Analysis in Sport, 19(4), 608-623. https://doi.org/10.1080/24748668.2019.1643598
Haugaasen, M., & Jordet, G. (2012). Developing football expertise: A football-specific research review. International Review of Sport and Exercise Psychology, 5(2), 177-201. https://doi.org/10.1080/1750984X.2012.677951
Izzo, R., Varde’i, C. H., Raiola, G., & Santinelli, F. (2019). Player Performance Model, comparison between youth professional (U-21) and professional first team football players: Different external load or not?. Journal of Human Sport and Exercise, 14(4proc), S991-S996. https://doi.org/10.14198/jhse.2019.14.Proc4.61
Kobal, R., Loturco, I., Gil, S., Cal Abad, C. C., Cuniyochi, R., Barroso, R., & Tricoli, V. (2016). Comparison of physical performance among Brazilian elite soccer players of different age-categories. J Sports Med Phys Fitness, 56(4), 376-382.
Mourao, P. (2016). Soccer transfers, team efficiency and the sports cycle in the most valued European soccer leagues - have European soccer teams been efficient in trading players? Applied Economics, 48(56), 5513-5524. https://doi.org/10.1080/00036846.2016.1178851
Nieto, S., Echeazarra, I., Errekagorri, I., & Castellano, J. (2024). Description of the collective behavior in competition of young soccer players under-16 (U-16), under-17 (U-17), under-19 (U-19), and under-23 (U-23), Considering the Areas of the Pitch and Phases of the Game. The Journal of Strength & Conditioning Research, 38(4). https://10.1519/JSC.0000000000004691
Özaydın, S., & Aksu, Y. E. (2019). The effects of foreign player regulations on player productivity in the Turkish Super League. Journal of Research in Economics, 3(2), 177-191. https://doi.org/10.35333/JORE.2019.54
Práxedes, A., Del Villar, F., Pizarro, D., & Moreno, A. (2018). The Impact of nonlinear pedagogy on decision-making and execution in youth soccer players according to game actions. Journal of Human Kinetics, 62(1), 185-198. https://doi.org/10.1515/hukin-2017-0169
Reynolds, J., Connor, M., Jamil, M., & Beato, M. (2021). Quantifying and comparing the match demands of u18, u23, and 1st team english professional soccer players. Frontiers in Physiology, 12(July), 2017-2022. https://doi.org/10.3389/fphys.2021.706451
Saward, C., Morris, J. G., Nevill, M. E., & Sunderland, C. (2019). The effect of playing status, maturity status, and playing position on the development of match skills in elite youth football players aged 11-18 years: A mixed-longitudinal study. European Journal of Sport Science, 19(3), 315-326. https://doi.org/10.1080/17461391.2018.1508502
Sawilowsky, S. S. (2009). Very large and huge effect sizes. Journal of Modern Applied Statistical Methods, 8(2), 597-599. https://doi.org/10.22237/jmasm/1257035100
Sevil, J., Práxedes, A., García-González, L., Moreno, A., & del Villar Álvarez, F. (2017). Evolution of tactical behavior of soccer players across their development. International Journal of Performance Analysis in Sport, 17(6), 885-901. https://doi.org/10.1080/24748668.2017.1406781
Skābardis, J., Gluščuks, A., & Ābeļkalns, I. (2019). Analysis and Use of Physical Characteristic Tests in the Training Process for Football Players of Different Ages. January, 160–167. https://doi.org/10.22364/htqe.2018.14
Smalley, B., Bishop, C., & Maloney, S. J. (2022). “Small steps, or giant leaps?” Comparing game demands of U23, U18, and U16 English academy soccer and their associations with speed and endurance. International Journal of Sports Science and Coaching, 17(1), 134-142. https://doi.org/10.1177/17479541211018771
Soto-Fernández, A., Camerino, O., Iglesias, X., Anguera, M. T., & Castañer, M. (2022). LINCE PLUS software for systematic observational studies in sports and health. Behavior Research Methods, 54(3), 1263-1271. https://doi.org/10.3758/s13428-021-01642-1
DOI: https://doi.org/10.7575/aiac.ijkss.v.12n.4p.31
Refbacks
- There are currently no refbacks.
License URL: https://creativecommons.org/licenses/by/4.0/
2013-2024 (CC-BY) Australian International Academic Centre PTY.LTD.
International Journal of Kinesiology and Sports Science
You may require to add the 'aiac.org.au' domain to your e-mail 'safe list’ If you do not receive e-mail in your 'inbox'. Otherwise, you may check your 'Spam mail' or 'junk mail' folders.