Assessing the key game-related statistics in Brazilian professional basketball according to season phase and final score difference

Giovanini, Bruno; Conte, Daniele; Junior, Adalberto Ferreira; Nascimento, Vitor Bertoli

doi:10.1080/24748668.2021.1881358

Cited by 13 publications

(18 citation statements)

References 27 publications

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“…In fact, 42% of fastbreaks start after a defensive rebound (Cárdenas et al, 2015), creating an opportunity for an easy scoring (Conte et al, 2017;Evangelos et al, 2005) and consequently turning the game's momentum in favor of the own team (Burke and Burke, 1999). Consequently, teams that cannot control the defensive rebounds have fewer chances of winning the game (Tsamourtzis and Athanasiou, 2004), especially in close games (Giovanini et al, 2021). Besides initiating the offensive transition, the favorable impact of defensive rebounds on winning odds can be explained by individual's and team's defensive effort.…”

Section: Discussionmentioning

confidence: 99%

“…Almas (2015) found the defensive rebound and 3-point shots made performance determinants for winning in balanced games (up to 15 points) in both the regular season and playoffs. Giovanini et al (2021) extended this analysis to the next five seasons of the same competition and identified that only defensive rebounds characterized winning teams in close matches (up to 7 points). In balanced games, defensive rebounds and assists were determinants for winning in the regular season as well as in playoffs.…”

Section: Balanced and Unbalanced Gamesmentioning

confidence: 99%

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Determinants of Basketball Match Outcome Based on Game-related Statistics: A Systematic Review and Meta-Analysis

Canuto¹,

Almeida²

2022

EJHM

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This study aimed to systematically review the current scientific literature on game-related statistics (GRS) that better discriminate between basketball winning and losing teams, and to identify the magnitude of the difference of the most frequently cited GRS between winning and losing teams via meta-analysis. A systematic search of the databases Web of Science, Scopus, SPORTDiscus, PubMed, Science Direct, Latindex, Scholar Google, and Scielo was performed. Keywords addressed discriminant analysis, game-related statistics, discriminant factors, determinant factors, game outcome, match analysis, winning and losing,and basketball. Data from 20 out of 533articles were eligible to be extracted. Structural Coefficients (SC)values were considered relevant for analysis when ≥0.32. Results indicated that defensive rebounds and assists were classified as good (SC ≥ 0.46) or very good (SC ≥ 0.56) discriminant factors. Both were the most frequently GRS cited as discriminant factors, regardless of location, phase of the competition, or opponent’s level. Based on these indicators, eight studies were included for meta-analysis.Meta-analyses showed that winning teams have at least six more defensive rebounds (95% CI = 4.22 -7.99; p < 0.0001) and around four more assists than losing teams (95% CI = 3.14 -4.50; p < 0.0001). Coaches should emphasize defensive rebounding and assisting drills intheir practice planning to improve the likelihood of winning games.

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Section: Discussionmentioning

confidence: 99%

Section: Balanced and Unbalanced Gamesmentioning

confidence: 99%

Determinants of Basketball Match Outcome Based on Game-related Statistics: A Systematic Review and Meta-Analysis

Canuto¹,

Almeida²

2022

EJHM

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“…rough the understanding of the detection method of the moving target detection technology, to use the moving target detection technology to detect the basketball shot, the acquisition of the basketball position information and characteristic information in the image becomes the key in the testing system. e following summarized and analyzed several methods of moving target detection technology to determine the shooting detection method [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Feature Extraction Algorithm of Basketball Trajectory Based on the Background Difference Method

Xing

2022

Mathematical Problems in Engineering

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People are increasingly interested in moving object detection technology as a part of computer vision technology, which has grown in importance in recent years. Moving target detection technology is widely employed in military defense, security monitoring, medical examinations, intelligent transportation, and many other industries at the present time. A moving target detection system relies on rapid and accurate video picture segmentation to identify, locate, and analyze the target. The trajectory of a basketball player’s shooting motion and the extraction of features are important to increase the accuracy of basketball players’ shots. This study proposes an area growth algorithm-based approach to tracing the shooting motion of basketball players. The trajectory of the shot motion is captured using a video sensor image tracking approach. The corner points and the edge contours of the trajectory image are extracted using the edge contour feature extraction method, the feature extraction from the firing motion trajectory image is merged with the regional linear growth approach, and the corner points are then marked. Feature extraction improves basketball players’ shooting accuracy and trajectory control ability. Simulation results show that the prediction accuracy of basketball players’ shooting trajectories using this method can reach up to 100%, which improves the accuracy of motion trajectory extraction and enhances basketball players’ shooting motion control.

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“…Os indicadores de arremessos de dois pontos (convertidos e perdidos) sofreram decréscimo. As assistências, arremessos de três pontos (convertidos e perdidos) apresentaram aumento demonstrando uma tendência de modificação, mesmo que mínima, na dinâmica das partidas Giovanini et al (2021),. buscando encontrar os indicadores que determinassem os vencedores na fase regular e eliminatória da liga Brasileira de basquetebol, analisaram 1271 partidas das edições de 2014 a 2019 do torneio.…”

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“…Comparando os diferentes campeonatos continentais de seleções,Ibáñez et al (2018) encontraram que apenas as ações de três pontos convertidos e bloqueios de arremesso não apresentaram diferença significativa no perfil das competições. Isso demonstra que independente das particularidades de cada contexto, os arremessos e os bloqueios fazem parte da caracterização do jogo de seleções.Na liga brasileira de basquetebol as cestas de três pontos são parte integral da dinâmica do jogo Giovanini et al (2021). encontraram que os arremessos de três pontos convertidos são relevantes nas vitórias em: partidas balanceadas, partidas desbalanceadas e nas partidas eliminatórias tratadas como acirradas.…”

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Auto-organização do jogo de basquetebol: flutuações do sistema e suas influências

Malachias¹

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Due to the dynamism of the events during their matches, team sports must be understood as complex and dynamic systems. Thus, the goal of this research was to understand the self-organization of the basketball game, through a classification based on the end of the offensive processes. All male basketball matches of the 2016 Olympic Games -Rio de Janeiro were analyzed. The analysis protocol was based on game action variables and subsequent classification of the completion/finish of each offensive process: Not throw (offensive process that didn't generate shot to the basket), 0 points (offensive process that didn't generate points), 1 point (offensive process generating 1 point), 2 points (offensive process generating 2 points), 3+ points (offensive process generating 3 or more than points). Rebounds, location of attack completion, match status and duration of attacks were also investigated. The chisquare test was used to compare the frequency of offensive actions and offensive process. T test was used to compare winning team's vs teams losers and top team's vs lower teams. The winning teams had more offensive processes of 2 points (35.3% vs. 30.6%), 3+ points (14.7% vs. 10.8%) and less 0 points (28.5% vs. 35.0%) with p <0.05. When comparing upper and lower teams, the classification 3+ points showed no significant difference, as in the scenario of the matches. About rebounds, significant difference was found for all categories analyzed in the matches. However, in the championship a difference was identified only in the category without rebound. Location of attack completion were only significant in the championship with the top teams presenting a greater volume of attacks in the region closest to the basket. The results found demonstrate that finishing the basket is the main attractor of the game with the classification 2 points being the main marker of success. The most relevant fluctuations are represented by the classifications Not throw and 3+ points. This tool has demonstrated value to the understanding of the self-organization of basketball and presents a new possibility to analyze the game. We believe it is a diagnostic analysis that helps in the process: match, analysis and training for a better understanding of the game of basketball in different contexts.

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Assessing the key game-related statistics in Brazilian professional basketball according to season phase and final score difference

Cited by 13 publications

References 27 publications

Determinants of Basketball Match Outcome Based on Game-related Statistics: A Systematic Review and Meta-Analysis

Determinants of Basketball Match Outcome Based on Game-related Statistics: A Systematic Review and Meta-Analysis

Feature Extraction Algorithm of Basketball Trajectory Based on the Background Difference Method

Auto-organização do jogo de basquetebol: flutuações do sistema e suas influências

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