Journal Articles

Permanent URI for this collectionhttps://mro.massey.ac.nz/handle/10179/7915

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Author: search.filters.author.Ali ASubject: search.filters.subject.performance

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    Impact of Technical-Tactical and Physical Performance on the Match Outcome in Professional Soccer: A Case Study
    (Academy of Physical Education in Katowice, 2024-07-17) Barthelemy B; Ravé G; Govindasamy K; Ali A; Del Coso J; Demeaux J; Bideau B; Zouhal H
    Match outcomes and championship rankings are the consequence of the team’s technical, tactical, and physical variables. This study aimed to compare physical and modern technical-tactical performance variables between matches with different outcomes for a professional soccer team. Total distance covered, distance covered between 20.0 and 25.0 km/h, and at > 25.0 km/h, distance covered at ≥ 3 m/s2 and at ≤ −3 m·s−2 along with several modern technical-tactical variables (expected goals in favor (xG) and against (xGA), expected goals chain in favor (xGC) and against (xGCA) and passes per defensive action (PPDA)) were collected for 71 soccer matches during the 2020/2021 and 2021/2022 seasons from a team competing in the French Ligue 2. These technical-tactical and running performance variables were obtained by a validated video tracking system (OPTA) and their values per match were compared depending on the match outcome which was categorized as “loss” (L), “draw” (D) or “win” (W). No significant differences were observed for the different running metrics depending on the match outcome. However, significant differences were observed for xGA (0.70 ± 0.39 vs. 1.24 ± 0.59; pbonferroni= 0.004) and xGCA (5.38 ± 2.78 vs. 10.92 ± 6.18; pbonferroni = 0.002) between wins and losses, respectively. Additionally, there was a weak, but significant correlation between xGCA and distance covered in acceleration (r = 0.255; p = 0.032) and deceleration (r = 0.237; p = 0.047). In conclusion, while our study found associations between technical-tactical variables and match outcomes, causality cannot be inferred. Improved technical-tactical performance may positively impact the match result, especially by the reduction of the opposing team's goal expectancy. On the contrary, running performance variables showed no associations with the match outcome.
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    Assessment of Changes in Physiological Markers in Different Body Fluids at Rest and after Exercise
    (MDPI (Basel, Switzerland), 2022-11-05) Jesuthasan A; Ali A; Lee JKW; Rutherfurd-Markwick K
    Physiological and biological markers in different body fluids are used to measure the body's physiological or pathological status. In the field of sports and exercise medicine, the use of these markers has recently become more popular for monitoring an athlete's training response and assessing the immediate or long-term effects of exercise. Although the effect of exercise on different physiological markers using various body fluids is well substantiated, no article has undertaken a review across multiple body fluids such as blood, saliva, urine and sweat. This narrative review aims to assess various physiological markers in blood, urine and saliva, at rest and after exercise and examines physiological marker levels obtained across similar studies, with a focus on the population and study methodology used. Literature searches were conducted using PRISMA guidelines for keywords such as exercise, physical activity, serum, sweat, urine, and biomarkers, resulting in an analysis of 15 studies for this review paper. When comparing the effects of exercise on physiological markers across different body fluids (blood, urine, and saliva), the changes detected were generally in the same direction. However, the extent of the change varied, potentially as a result of the type and duration of exercise, the sample population and subject numbers, fitness levels, and/or dietary intake. In addition, none of the studies used solely female participants; instead, including males only or both male and female subjects together. The results of some physiological markers are sex-dependent. Therefore, to better understand how the levels of these biomarkers change in relation to exercise and performance, the sex of the participants should also be taken into consideration.