Predictive modelling of the physical demands during training and competition in professional soccer players

Giménez, Jesús; Jiménez-Linares, Luis; Leicht, Anthony S.; Gómez, Miguel Ángel

doi:10.1016/j.jsams.2019.12.008

Cited by 14 publications

(13 citation statements)

References 21 publications

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“…This technique, which is rarely applied in the field of physical activity in sport, has proved to possess good applicability and results interpretation in this field. For this reason, over the last few years, different studies have been developed via this type of analysis in soccer [18,32,[49][50][51], five-a-side soccer [52] and Australian soccer [53].…”

Section: Data Analysis 261 Ball Possessions Analysismentioning

confidence: 99%

Multivariate Analysis of the Offensive Phase in High-Performance Women’s Soccer: A Mixed Methods Study

et al. 2021

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Currently, there are still few studies on the tactical and contextual criteria that determine offensive success in women’s soccer. The objectives of this study were to discover contextual and tactical criteria that show an association with success in elite women’s soccer and to establish a multivariate predictive model for the offensive phase. For this, 2323 ball possessions were analyzed in FIFA Women’s World Cup 2019 via direct observation. In addition, eight semi-structured interviews were conducted with women’s soccer coaches and players. For direct observation, a bivariate analysis between the analysed criteria and possession’s outcome was suggested. Additionally, a multivariate predictive analysis was proposed via a decision tree method. To analyze the interviews, a sequential analysis of delays and polar coordinates analysis were carried out. It was established a multi-variant model of offensive success based on possession zone (middle offensive), initial offensive intention (progress) and start zone (preoffensive or offensive) criteria. The probability of offensive success was 75.2% interactively between those criteria. In addition, the analysis of the interviews allowed us to conclude that criteria related to technical–tactical performance, decision-making and physical capacities of the players will be decisive in increasing the probabilities of success.

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Section: Data Analysis 261 Ball Possessions Analysismentioning

confidence: 99%

Multivariate Analysis of the Offensive Phase in High-Performance Women’s Soccer: A Mixed Methods Study

et al. 2021

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“…Currently, the Yo-Yo intermittent test is the most adequate test for aerobic fitness assessment, with different versions and levels for soccer athletes (Castagna et al, 2020b). The reason for its acceptance is associated with its logical validity (i.e., comprising intermittent high-intensity protocols) (Gimenez et al, 2019), with practical application for testing a large number of players at the same moment with practically no related costs (Povoas et al, 2016;Castagna et al, 2019Castagna et al, , 2020bPapanikolaou et al, 2019). As such, the Yo-Yo intermittent tests are the most explored field tests for aerobic fitness valuation, and are crucial for evaluating soccer athletes (Oberacker et al, 2012;Beato et al, 2019;Castillo et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

COVID-19-Related Restrictions and Quarantine COVID-19: Effects on Cardiovascular and Yo-Yo Test Performance in Professional Soccer Players

Freire

Tannure²,

Sampaio

et al. 2020

Front. Psychol.

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The present study aimed to verify the quarantine’s effects during a serious viral outbreak on the cardiovascular and performance associated with the Yo-Yo test in a sample of professional soccer players. 20 high-level soccer players (n = 20; age: 26 ± 4 years-old; weight: 76.85 ± 6.7 kg; height: 179 ± 6 cm) participated in this study. The intermittent Yo-Yo test was performed pre- and post- COVID-19 quarantine in a random order. During each test, the soccer players’ running performance outcomes were monitored using a portable 5-Hz GPS with a 100 Hz accelerometer and a paired t-test was conducted at a p-value of ≤ 0.05. The main results demonstrated significant differences between pre- versus post-COVID-19 quarantine in the following variables: relative distance (161.7 ± 5.9 > 141.1 ± 33.8 m/min), maximal speed (18.7 ± 0.9 > 18.2 ± 0.6 km/h), acceleration (60 ± 20 frequency > 52 ± 16 frequency), deceleration (34 ± 13 frequency > 27 ± 6 frequency), sprints > 19 km/h [0.8 (0.2;3)% >0.5 (0;0.5)%], and in high intensity running distance [16.48 (2.68;41.64)m > 0.827 (0.164;3.0)m]. We concluded that COVID-19-related restrictions and quarantine COVID-19 demonstrated adverse effects on professional soccer players’ Yo-Yo tests performance.

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“…A predictive modeling decision tree was used to determine the cut-points of HR, SR, and TS to indicate if T rec was improved or not. The decision tree is a technique to classify outcomes by subdividing the set of observations into different subsets [ 19 ]. This process provides the most uniform subsets of observations possible [ 19 ].…”

Section: Methodsmentioning

confidence: 99%

Using Predictive Modeling Technique to Assess Core Temperature Adaptations from Heart Rate, Sweat Rate, and Thermal Sensation in Heat Acclimatization and Heat Acclimation

Sekiguchi

Benjamin

Manning

et al. 2022

IJERPH

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Assessing the adaptation of rectal temperature (Trec) is critical following heat acclimatization (HAz) and heat acclimation (HA) because it is associated with exercise performance and safety; however, more feasible and valid methods need to be identified. The purpose of this study was to predict adaptations in Trec from heart rate (HR), sweat rate (SR), and thermal sensation (TS) using predictive modeling techniques. Twenty-five male endurance athletes (age, 36 ± 12 y; VO2max, 57.5 ± 7.0 mL⋅kg−1⋅min−1) completed three trials consisting of 60 min running at 59.3 ± 1.7% vVO2max in a hot environment. During trials, the highest HR and TS, SR, and Trec at the end of trials were recorded. Following a baseline trial, participants performed HAz followed by a post-HAz trial and then completed five days HA, followed by a post-HA trial. A decision tree indicated cut-points of HR (<−13 bpm), SR (>0.3 L·h−1), and TS (≤−0.5) to predict lower Trec. When two or three variables met cut-points, the probability of accuracy of showing lower Trec was 95.7%. Greater adaptations in Trec were observed when two or three variables met cut-points (−0.71 ± 0.50 °C) compared to one (−0.13 ± 0.36 °C, p < 0.001) or zero (0.0 3 ± 0.38 °C, p < 0.001). Specificity was 0.96 when two or three variables met cut-points to predict lower Trec. These results suggest using heart rate, sweat rate, and thermal sensation adaptations to indicate that the adaptations in Trec is beneficial following heat adaptations, especially in field settings, as a practical and noninvasive method.

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Predictive modelling of the physical demands during training and competition in professional soccer players

Cited by 14 publications

References 21 publications

Multivariate Analysis of the Offensive Phase in High-Performance Women’s Soccer: A Mixed Methods Study

Multivariate Analysis of the Offensive Phase in High-Performance Women’s Soccer: A Mixed Methods Study

COVID-19-Related Restrictions and Quarantine COVID-19: Effects on Cardiovascular and Yo-Yo Test Performance in Professional Soccer Players

Using Predictive Modeling Technique to Assess Core Temperature Adaptations from Heart Rate, Sweat Rate, and Thermal Sensation in Heat Acclimatization and Heat Acclimation

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