Kinematic parameters and metabolic power in elite soccer players: A small sided a large sided games comparison

Zlojutro, Nemanja; Eler, Serdar; Joksimović, Marko; Eler, Nebahat; Marković, Slobodan; Kukrić, Aleksandar; Goranovic, Kosta

doi:10.3389/fphys.2023.1150713

Cited by 3 publications

(1 citation statement)

References 36 publications

(46 reference statements)

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“…Integrating TGs into soccer training provides a consistent and flexible approach for enhancing players’ technical, tactical, and physical skills. As a popular alternative to traditional drills, TGs offer engaging game-specific scenarios that can benefit elite soccer players looking to improve their performance ( Beato et al, 2023a ; Zlojutro et al, 2023 ). However, it can be challenging to assess the physiological and performance demands of TGs and ensure that they closely match the needs of official matches.…”

Section: Methodsmentioning

confidence: 99%

Exploring the interplay between metabolic power and equivalent distance in training games and official matches in soccer: a machine learning approach

Manzi,

Savoia,

Padua

et al. 2023

Front. Physiol.

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Introduction: This study aimed to explore the interplay between metabolic power (MP) and equivalent distance (ED) and their respective roles in training games (TGs) and official soccer matches. Furthermore, the secondary objective was to investigate the connection between external training load (ETL), determined by the interplay of metabolic power and equivalent distance, and internal training load (ITL) assessed through HR-based methods, serving as a measure of criterion validity.Methods: Twenty-one elite professional male soccer players participated in the study. Players were monitored during 11 months of full training and overall official matches. The study used a dataset of 4269 training games and 380 official matches split into training and test sets. In terms of machine learning methods, the study applied several techniques, including K-Nearest Neighbors, Decision Tree, Random Forest, and Support-Vector Machine classifiers. The dataset was divided into two subsets: a training set used for model training and a test set used for evaluation.Results: Based on metabolic power and equivalent distance, the study successfully employed four machine learning methods to accurately distinguish between the two types of soccer activities: TGs and official matches. The area under the curve (AUC) values ranged from 0.90 to 0.96, demonstrating high discriminatory power, with accuracy levels ranging from 0.89 to 0.98. Furthermore, the significant correlations observed between Edwards’ training load (TL) and TL calculated from metabolic power metrics confirm the validity of these variables in assessing external training load in soccer. The correlation coefficients (r values) ranged from 0.59 to 0.87, all reaching statistical significance at p < 0.001.Discussion: These results underscore the critical importance of investigating the interaction between metabolic power and equivalent distance in soccer. While the overall intensity may appear similar between TGs and official matches, it is evident that underlying factors contributing to this intensity differ significantly. This highlights the necessity for more comprehensive analyses of the specific elements influencing physical effort during these activities. By addressing this fundamental aspect, this study contributes valuable insights to the field of sports science, aiding in the development of tailored training programs and strategies that can optimize player performance and reduce the risk of injuries in elite soccer.

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Section: Methodsmentioning

confidence: 99%

Exploring the interplay between metabolic power and equivalent distance in training games and official matches in soccer: a machine learning approach

Manzi,

Savoia,

Padua

et al. 2023

Front. Physiol.

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Differences in body composition parameters between female handball players and non-athlete girls during puberty

Mocanu,

Postelnicu,

Adam

et al. 2023

Balneo and PRM Research Journal

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Background and Study Purpose.: The body composition study (Inbody 720/Biospace (Korea)) presents the advantage of a detailed exploration of some complex parameters, which can pro-vide useful information related to the nutritional status and health of those evaluated. The pur-pose of the research is the comparative analysis of these indicators for pubertal girls, divided in-to two categories: handball practitioners and non-athletes. Material and Methods. The study participants come from 2 groups: 59 handball players/HB (Age=11.72±.82, Height =157.64±8.62, Weight =53.16±10.36) and 115 non-athletes/NA (Age=11.67±.75, Height = 155.33±7.16, Weight =48.84±10.40). The groups were investigated be-tween March and April 2023. Results. The BMI values obtained were interpreted by calculating the international percentages, for the age range 2-19 years. The group of handball players pre-sents superior values regarding weight, height, BMI percentiles, bone mineral content, body cell mass, basal metabolic rate, arm muscle circumference and fitness score. According to the BMI classification, there are no handball players in the underweight class, and 40% of the HB group and 31% of the NA belong to the Overweight and Obese classes. Better values for lean mass of the HB group are reported for all body areas and body segments, with significant differences compared to the NA group. Fat control recommendations indicate the need to remove more fat for the NA group and add more muscle (over 80% of the components of this group). Both groups have problems with abdominal obesity; approximately a quarter of the students having WHR values within Abd. Obesity. The Strength levels indicator shows better values for the HB group (majority in the Normal and Developed categories), and over a quarter of the NA group has problems at the lower body level (fall within the Weak level). Conclusions. According to the values provided by Obesity Degree by Body Fat, one third of the female students of both groups have obesity problems, which represents an alarm signal for the health of the young generation, aspects also confirmed by the analyzed studies. The muscle/fat ratio indicates for the NA group lower percentage values for muscle/SMM and higher for fat/BFM, compared to the HB group, so the physical activity specific to handball players has a de-termining role in explaining these values. The results of our study provide important data relat-ed to body composition values in the puberty stage for handball girls. These data are useful as values to which these parameters can be compared in other stages of preparation (the competi-tive phase or the recovery phase after competitions).

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Physical demands in a small-sided soccer game: a comparison between arbitrary and individualized speed and metabolic power thresholds

STAIBANO,

MOREIRA,

PANISSA

et al. 2023

J Sports Med Phys Fitness

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Kinematic parameters and metabolic power in elite soccer players: A small sided a large sided games comparison

Cited by 3 publications

References 36 publications

Exploring the interplay between metabolic power and equivalent distance in training games and official matches in soccer: a machine learning approach

Exploring the interplay between metabolic power and equivalent distance in training games and official matches in soccer: a machine learning approach

Differences in body composition parameters between female handball players and non-athlete girls during puberty

Physical demands in a small-sided soccer game: a comparison between arbitrary and individualized speed and metabolic power thresholds

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