Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Aug 12;10(8):121.
doi: 10.3390/sports10080121.

Modeling the Major Influencing Factor on Match Running Performance during the In-Season Phase in a Portuguese Professional Football Team

José E Teixeira  1   2 , Luís Branquinho  1   3 , Miguel Leal  3 , Daniel A Marinho  1   4 , Ricardo Ferraz  1   4 , Tiago M Barbosa  1   2 , António M Monteiro  1   2 , Pedro Forte  1   2   3
Affiliations

Modeling the Major Influencing Factor on Match Running Performance during the In-Season Phase in a Portuguese Professional Football Team

José E Teixeira et al. Sports (Basel). .

Abstract

The aim of this study was two-fold: (1) to analyze the influence of season phase (i.e., the start of the in-season and mid-in-season) on match running performance in a Portuguese professional football team; (2) to determine and model the main factor influencing match running performance during the in-season in this specific football team. Eighteen matches were collected by an 18 Hz global positioning system (GPS) from a professional Portuguese football team during the start of the in-season and mid-in-season. The match running performance was analyzed according to season phases, presenting significant differences in total distance (TD) (tlowerbound = 4.71, p < 0.001; tupperbound = −2.22, p = 0.002), average speed (AvS) (tlowerbound = 359.45, p < 0.001; tupperbound = −359.87, p < 0.001), and relative high speed running (rHSR) (tlowerbound = 13.10, p < 0.001; tupperbound = −10.21, p < 0.001). The logistic regression showed TD (β = −1.59, z = −2.84, p = 0.005) and AvS (β = 2.68, z = −2.84, p = 0.007) as the major factors influencing match running performance during seasonal variation. Sprints and accelerations showed no significance for predicting match running performance during the season phases (β = −0.05 to 1.07, z = −0.95 to 1.07, p = 0.29 to 0.72). Current research confirms that lower and upper bounds should be used to quantify seasonal differences on match running performance. TD and AvS were described as the main factors influencing match running performance during the in-season phase. Thus, it is important to highlight the pace and volume of the game to maximize match running performance.

Keywords: GPS; match analysis; periodization; physical performance; regression.

PubMed Disclaimer

Conflict of interest statement

The authors declare no potential conflict of interest.

Figures

Figure 1
Figure 1
Pearson’s partial correlation between match running performance measures. Abbreviations: ACC—number of accelerations; AvS—average speed; HSR—distance at high-speed running; SPR—number of sprints; TD—total distance.
See this image and copyright information in PMC

Similar articles

See all similar articles

Cited by

References

    1. Vieira L.H.P., Carling C., Barbieri F.A., Aquino R., Santiago P.R.P. Match Running Performance in Young Soccer Players: A Systematic Review. Sports Med. 2019;49:289–318. doi: 10.1007/s40279-018-01048-8. - DOI - PubMed
    1. Teixeira J.E., Forte P., Ferraz R., Leal M., Ribeiro J., Silva A.J., Barbosa T.M., Monteiro A.M. Monitoring Accumulated Training and Match Load in Football: A Systematic Review. Int. J. Environ. Res. Public Health. 2021;18:3906. doi: 10.3390/ijerph18083906. - DOI - PMC - PubMed
    1. Branquinho L., Ferraz R., Travassos B., C Marques M. Comparison between Continuous and Fractionated Game Format on Internal and External Load in Small-Sided Games in Soccer. Int. J. Environ. Res. Public Health. 2020;17:405. doi: 10.3390/ijerph17020405. - DOI - PMC - PubMed
    1. Oliveira R., Brito J.P., Martins A., Mendes B., Marinho D.A., Ferraz R., Marques M.C. In-Season Internal and External Training Load Quantification of an Elite European Soccer Team. PLoS ONE. 2019;14:e0209393. doi: 10.1371/journal.pone.0209393. - DOI - PMC - PubMed
    1. Teixeira J., Forte P., Ferraz R., Branquinho L., Silva A., Barbosa T., Monteiro A. Exercise Physiology. IntechOpen; Rijeka, Croatia: 2022. Methodological Procedures for Non-Linear Analyses of Physiological and Behavioural Data in Football.

LinkOut - more resources