Win, Draw, or Lose? Global Positioning System-Based Variables’ Effect on the Match Outcome: A Full-Season Study on an Iranian Professional Soccer Team
Metadatos
Afficher la notice complèteAuteur
Nobari, HadiEditorial
MDPI
Materia
Acceleration Deceleration Performances GPS Fatigue Situational variables WIMU Win
Date
2021Referencia bibliográfica
Nobari, H.; Banoocy, N.K.; Oliveira, R.; Pérez-Gómez, J. Win, Draw, or Lose? Global Positioning System-Based Variables’ Effect on the Match Outcome: A Full-Season Study on an Iranian Professional Soccer Team. Sensors 2021, 21, 5695. https:// doi.org/10.3390/s21175695
Patrocinador
Portuguese Foundation for Science and Technology, I.P., Grant/Award Number UIDP/04748/2020.Résumé
The aim of the study was to determine the between-match and between-halves match
variability of various Global Positioning System (GPS) variables and metabolic power average (MPA)
in competitions, based on the match results obtained by professional soccer players over a full season.
Observations on individual match performance measures were undertaken on thirteen outfield
players competing in the Iranian Premier League. The measures selected for analysis included
total duration, accelerations in zones (AccZ1, 2, and 3), decelerations in zones (DecZ1, 2, and 3),
and MPA collected by the Wearable Inertial Measurement Unit (WIMU). The GPS manufacturer
set the thresholds for the variables analyzed as follows: AccZ1 (<2 m·s
−2
); AccZ2 (2 to 4 m·s
−2
);
AccZ3 (>4 m·s
−2
); DecZ1 (<−2 m·s
−2
); DecZ2 (−2 to −4 m·s
−2
); DecZ3 (>−4 m·s
−2
). The results
revealed significant differences between wins and draws for the duration of the match and draws
compared to wins for the first- half duration (p ≤ 0.05; ES = 0.36 [−0.43, 1.12]), (p ≤ 0.05; ES = −7.0
[−8.78, −4.78], respectively. There were significant differences on AccZ1 during the first-half between
draws and defeats (p ≤ 0.05; ES = −0.43 [−1.32, 0.46]), for AccZ3 in the second-half between draws
and defeats (p ≤ 0.05; ES = 1.37 [0.48, 2.25]). In addition, there were significant differences between
wins and draws (p ≤ 0.05; ES = 0.22 [−0.62, 1.10]), and wins and defeats for MPA in the first- half
(p ≤ 0.05; ES = 0.34 [−0.65, 1.22]). MPA showed further differences between draws and defeats in
the second- half (p ≤ 0.05; ES = 0.57 [−0.22, 1.35]). Descriptive analysis revealed differences between
the first and second half for wins in AccZ2 (p = 0.005), DecZ2 (p = 0.029), and MPA (p = 0.048). In
addition, draws showed significant differences between the first and second half in duration, AccZ1,
AccZ2, and DecZ2 (p = 0.008), (p = 0.017), (p = 0.040), and (p = 0.037) respectively. Defeats showed
differences between the first and second half in AccZ1, AccZ3, and MPA (p = 0.001), (p = 0.018),
and (p = 0.003) respectively. In summary, the study reveals large variations between the match
duration, accelerometer variables, and MPA both within and between matches. Regardless of the
match outcome, the first half seems to produce greater outputs. The results should be considered
when performing a half-time re-warm-up, as this may be an additional factor influencing the drop in
the intensity markers in the second half in conjunction with factors such as fatigue, pacing strategies,
and other contextual variables that may influence the results.