Faster balls increase the probability of scoring a goal in female and male elite goalball

Morato, Márcio Pereira; Menezes, Rafael ̈Pombo; Fonseca, Sofia; Furtado, Otávio Luis Piva da Cunha

doi:10.1016/j.rbce.2018.03.027

Cited by 16 publications

(34 citation statements)

References 22 publications

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“…Previous studies have been conducted to identify motor fitness and isokinetic strength [2,4,5], aerobic capacity [6], body composition [7,8,9], postural stability and static balance [10,11], throwing performance [12,13,14], and game performance [15] in goalball players of different ages, sexes and skill levels. However, there are few studies [6,7,8] describing the physical fitness components of elite adult players.…”

Section: Introductionmentioning

confidence: 99%

Relationships between Different Field Test Performance Measures in Elite Goalball Players

Goulart-Siqueira

Benítez-Flores

Ferreira

et al. 2018

Sports

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Goalball is a Paralympic sport involving people with visual impairment. Little is known about the physical fitness of elite players of this sport, as previous studies only evaluated body composition and aerobic capacity. Thus, the aim of this study was to describe the performance of elite goalball players in different physical tests and to look for relationships between them. Eleven elite Brazilian goalball players, seven males and four females, were evaluated for body composition, maximal handgrip isometric force (MHGF), countermovement jump (CMJ), throwing velocity (TV) and the Yo-Yo intermittent recovery test level 1 (Yo-Yo IR1). Players produced 41.54 ± 8.41 kgf in MHGF, 34.81 ± 7.2 cm in CMJ, 14.21 ± 1.89 m∙s−1 in TV, and 505 ± 313 m in Yo-Yo IR1, with an estimated maximum oxygen consumption (VO2max) of 40.64 ± 2.63 mL∙kg−1∙min−1. Most performance tests exhibited moderate to high correlations among them, while the percentage of body fat correlated with both the CMJ and Yo-Yo IR1 results. The current study reveals that CMJ could be a valuable monitoring tool as it was correlated with all other performance tests. The highest correlation observed was with TV (r = 0.754; p < 0.05), which is a key capacity in goalball. Moreover, high levels of body fat could be detrimental to anaerobic performance.

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Section: Introductionmentioning

confidence: 99%

Relationships between Different Field Test Performance Measures in Elite Goalball Players

Goulart-Siqueira

Benítez-Flores

Ferreira

et al. 2018

Sports

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“…Previous studies demonstrated that most throws originate from the right or left of the wingers' area compared to the center (e.g., Molik et al, 2015). The target was positioned on a strategic point (near the right post bar) at which attackers in goalball regularly aim (Morato et al, 2018). Other strategic points represent the distance between the wingers and the left post bar, or the two areas between the center and the wingers (Morato et al, 2017).…”

Section: Day 1 -Pre-test and Acquisitionmentioning

confidence: 99%

“…Ball throwing is a critical motor skill in goalball, and a number of variables such as ball velocity, throwing accuracy, and shot techniques were found to affect the probability of scoring a goal (see Lehto, Häyrinen, Laitinen, & Collet, 2012;Molik et al, 2015;Morato, Menezes, Fonseca, & Furtado, 2018;Owen, 2014). Acquiring knowledge of the throw outcome depends mainly on the delivery of KR at the completion of the throwing act.…”

Section: Introductionmentioning

confidence: 99%

The effectiveness of bandwidth knowledge of results on a throwing task in goalball players with visual impairments

Shimony¹,

Lidor²,

Ziv³

2020

Eur. J. Adapt. Phys. Act.

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The purpose of the current study was to examine whether a wide bandwidth knowledge of results (WBWKR) would result in better throwing accuracy and consistency compared to a narrow bandwidth knowledge of results (NBWKR) among goalball players with visual impairments. Elite goalball players (n=14) were randomly assigned to one of two groups-a WBWKR or a NBWKR group. The participants practiced a throwing task on a goalball court with either a wide bandwidth (1.98 m) or a narrow bandwidth (1.5 m) target. They completed the task at pre-test and acquisition phases. Seventy-two hours after the participants completed the acquisition trials, they performed retention and transfer tests. It was found that in the transfer test, the number of target hits was significantly greater and the absolute error was significantly smaller in the WBWKR participants than in the NBWKR participants. We conclude that goalball players could benefit from the use of WBWKR when practicing throws at the goal.

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“…Besides the use of physiological responses to verify the energy required during the game, systematic video observation can provide important information about technical and tactical demand ( Hughes and Bartlett, 2002 ), mainly through descriptive analysis, which is proposed to identify, describe, and characterize performance ( Marcelino et al, 2011 ). Considering the self-organizing in a goalball game ( Morato et al, 2012 ), observational categories and performance indicators allow analysis about offensive and defensive aspects ( Morato et al, 2018 ). The majority of recent studies have been concerned with goalball attack, mainly shot effectiveness ( Link and Weber, 2018 ), time-motion analysis of different throwing techniques ( Monezi et al, 2018 ), and characterization of ball time, considering the ball type and ball trajectory ( Morato et al, 2018 ), leaving aside physiological behavior during the game and, consequently, its influence on self-organization in both offensive and defensive situations.…”

Section: Introductionmentioning

confidence: 99%

“…Considering the self-organizing in a goalball game ( Morato et al, 2012 ), observational categories and performance indicators allow analysis about offensive and defensive aspects ( Morato et al, 2018 ). The majority of recent studies have been concerned with goalball attack, mainly shot effectiveness ( Link and Weber, 2018 ), time-motion analysis of different throwing techniques ( Monezi et al, 2018 ), and characterization of ball time, considering the ball type and ball trajectory ( Morato et al, 2018 ), leaving aside physiological behavior during the game and, consequently, its influence on self-organization in both offensive and defensive situations. To the best of the authors’ knowledge the relationships between physiological parameters together with game analysis have not yet been studied and could provide theoretical information to goalball coaches about game demand, mainly to prescribe specific training sessions.…”

Section: Introductionmentioning

confidence: 99%

Relationships Between Aerobic and Anaerobic Parameters With Game Technical Performance in Elite Goalball Athletes

Alves¹,

Kalva-Filho²,

Aquino³

et al. 2018

Front. Physiol.

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Our aims were to compare physiological parameters from the laboratory environment (LaB) and simulated goalball games (GaM), test relationships between physiological parameters in the laboratory and game technical performance (GTP), and examine the associations between physiological and technical responses during games. Seven elite athletes from the Brazilian National Team performed in LaB environment; (i) an incremental test to determine peak oxygen consumption (O2PEAK), its corresponding speed, and peak blood lactate concentration and (ii) submaximal and supramaximal efforts to estimate maximal anaerobic contribution (AnC). In GaM condition, simulated games were also performed to determine physiological responses throughout the game, and to analyze the GTP (number of throws, defenses, recovery, and density of actions). No correlations (unclear) were found between laboratory and games analyses for O2PEAK [47.3 (17.2) vs. 25.8 (18.2) mL⋅Kg-1⋅min-1], peak blood lactate concentrations [10.2 (5.4) vs. 2.0 (0.7) mM], and total AnC [21.0 (14.0) vs. 4.8 (6.1) mL Kg-1]. O2PEAK in the laboratory condition presented very likely correlations with throw and recovery frequency in games (r = -0.87 and confidence interval [CI] = 0.41; r = -0.90 and CI = 0.35; respectively). Oxygen consumption remained above baseline while blood lactate concentration remained unchanged during the games. The very likely correlation between anaerobic alactic contribution and action density (r = 0.95 and CI = 0.25) highlights the importance of the alactic metabolism. In general, our study demonstrates that goalball can be characterized as a high-intensity intermittent effort, where athlete performance is based on aerobic metabolism predominance while determinant actions are supplied by the anaerobic alactic metabolism. Specifically, higher values of LaB vs. GaM highlighted the need for standardization of specific protocols for goalball evaluation, mainly for the reproduction of ecologically valid values. In addition, O2PEAK correlated with recovery frequency in the LaB condition, demonstrating that passive or low-intensity recovery between actions is fundamental to maintain performance.

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Faster balls increase the probability of scoring a goal in female and male elite goalball

Cited by 16 publications

References 22 publications

Relationships between Different Field Test Performance Measures in Elite Goalball Players

Relationships between Different Field Test Performance Measures in Elite Goalball Players

The effectiveness of bandwidth knowledge of results on a throwing task in goalball players with visual impairments

Relationships Between Aerobic and Anaerobic Parameters With Game Technical Performance in Elite Goalball Athletes

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