Statistical Comparison of Singles Badminton Matches at the London 2012 and Rio De Janeiro 2016 Olympic Games

Luque, Gema Torres; Blanca-Torres, Juan Carlos; Cabello-Manrique, David; Kondrič, Miran

doi:10.2478/hukin-2020-0046

Cited by 7 publications

(3 citation statements)

References 17 publications

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“…Prosedur pengumpulan data, data didapat dari website IOC (International Olympic Committee's) yaitu https://www.olympic.org dan lebih khusus dapat diakses menggunakan metodologi yang sama dengan penelitian oleh (Torres-Luque et al, 2020). Disamping itu untuk mendukung jalannya pengamatan juga digunakan aplikasi youtube.…”

Section: Metodeunclassified

Perbandingan notasi pertandingan bulutangkis nomor tunggal putra pada olimpiade Rio 2016 dan Beijing 2020

Indra Kusuma,

BP,

Dharma Utamayasa

et al. 2023

Porkes

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This research aims to compare the match notations between the men's singles matches in Rio 2016 and Rio 2020. It is urgent to discuss this matter because the Olympics is a routine event held every 4 years, to prepare for the next Olympics, team officials can evaluate the Rio match resume. 2016 and Tokyo 2020. This research is classified as quantitative research and the method used is audiovisual analysis. The sample for this research is the men's singles final match for badminton) at the 2016 Rio and 2020 Beijing Olympics. Data collection procedures, data were obtained from the IOC (international Olympic Committee's) website. The spreadsheet used to collect data was using a spreadsheet in the Excel 2019 application. Data analysis was used, namely the difference test with the help of SPSS 21. The results of the research obtained a description of the hitting techniques carried out up to the rally and rest times as well as comparisons. The conclusion obtained is that there is a difference between rally time and rest time between the Rio 2016 and Tokyo 2020 matches.

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Section: Metodeunclassified

Perbandingan notasi pertandingan bulutangkis nomor tunggal putra pada olimpiade Rio 2016 dan Beijing 2020

Indra Kusuma,

BP,

Dharma Utamayasa

et al. 2023

Porkes

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“…Badminton is not only intended as a recreational or educational sport, but is intended as an achievement sport [2] . Then achievement sports are sports that foster and develop athletes in a planned, systematic, integrated, tiered and sustainable manner through competition to achieve achievements with the support of sports science and technology [3,4] . The success of a badminton athlete cannot be separated from the role of a competent coach.…”

Section: Introductionmentioning

confidence: 99%

The influence of motivation and professionalism on the performance of badminton coaches the special region of Yogyakarta province

Chandrika,

Prabowo

2024

Int. J. Phys. Educ. Sports Health

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The aim of this research is to analyze and identify the influence of motivation and professionalism on the performance of badminton coaches in the Special Region of Yogyakarta Province. This type of research uses a multiple linear regression approach. The research was conducted at 31 badminton clubs in the Special Region of Yogyakarta Province. Sampling in the research used total sampling with a sample of 50 coaches with the characteristics of having a BWF (Badminton World Federation) Level 1 coach certificate or Bachelor of Sports. The research instrument was a questionnaire distributed via Google Form with a Likert scale. Analysis of this research data using SPSS 25. The research results show that (1) There is a significant influence between motivation on the performance of badminton coaches and the sig value. 0.035 < 0.05, (2) There is a significant influence between professionalism on trainer performance and the sig value. 0.020 < 0.05, (3) the magnitude of the influence of motivation and professionalism on trainer performance is (R Square = 0.572) or 57.2%. This conclusion is that motivation and professionalism influence the performance of badminton coaches, of course this will have a direct impact on athlete performance. Future research is expected to add other variables related to the performance or competency of trainers previously used in this research and then increase the number of samples so that the results obtained can be more in-depth.

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“…The search for optimization of sports training processes and, consequently, increased competitive success, has motivated researchers and coaches to deepen their knowledge about the game patterns and flow dynamics, attempting to identify the emergent ( Garganta, 2009 ). In this vein, research centred on match analysis (MA) has proliferated in different sports ( Clemente et al, 2015 ; Melchiorri et al, 2020 ; Praça et al, 2019 ; Prieto et al, 2015 ; Torres-Luque et al, 2020 ), since it provides detailed in-depth information that has contributed immensely to a better understanding of game dynamics and retrieved implications for the training process ( Costa et al, 2012 ). Sports, especially team sports, evolve either as a dynamic system ( Lames and McGarry, 2007 ; Walter et al, 2007 ) or a confrontation of dynamic systems ( Lebed, 2006 ).…”

Section: Introductionmentioning

confidence: 99%

Coexistence of Distinct Performance Models in High-Level Women’s Volleyball

Laporta

Medeiros

Vargas

et al. 2021

Journal of Human Kinetics

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In performance analysis, and most notably in match analysis, generalizing game patterns in a sport or competition may result in formulating generic models and neglecting relevant variability in benefit of average or central values. Here, we aimed to understand how different game models can coexist at the same competitive level using social network analysis with degree centrality to obtain systemic mappings for six volleyball matches, one for each of the six national teams playing in the 2014 World Grand Prix Finals, guaranteeing a homogeneous game level and balanced matches. Although the sample was not recent, this was not relevant for our purposes, since we aimed to merely expose a proof of concept. A total of 56 sets and 7,176 ball possessions were analysed through Gephi Software, considering game actions as nodes and the interaction between them as edges. Results supported the coexistence of different performance models at the highest levels of practice, with each of the six teams presenting a very distinct game model. For example, important differences in eigenvector centrality in attack zones (ranging from 0 to 34) and tempos (20 to 38) were found between the six teams, as well as in defensive lines (20 to 39) and block opposition (22 to 37). This further suggests that there may be multiple pathways towards expert performance within any given sport, inviting a re-conceptualization of monolithic talent identification, detection and selection models. Future studies could benefit from standardizing the metrics in function of the number of ball possessions.

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Statistical Comparison of Singles Badminton Matches at the London 2012 and Rio De Janeiro 2016 Olympic Games

Cited by 7 publications

References 17 publications

Perbandingan notasi pertandingan bulutangkis nomor tunggal putra pada olimpiade Rio 2016 dan Beijing 2020

Perbandingan notasi pertandingan bulutangkis nomor tunggal putra pada olimpiade Rio 2016 dan Beijing 2020

The influence of motivation and professionalism on the performance of badminton coaches the special region of Yogyakarta province

Coexistence of Distinct Performance Models in High-Level Women’s Volleyball

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