Abstract:The purpose of our research was to investigate the relative frequencies of different types of basketball shots (above head, hook shot, layup, dunk, tip-in), some details about their technical execution (one-legged, two-legged, drive, cut, …), and shot success in different levels of basketball competitions. We analysed video footage and categorized 5024 basketball shots from 40 basketball games and 5 different levels of competitive basketball (National Basketball Association (NBA), Euroleague, Slovenian 1st Div… Show more
“…Although a discriminant analysis of game-related statistics has been an established method and widely performed in basketball research, it is not enough to fully investigate the game. On the other hand, several recent studies have focused on specific elements of the game such as shot (22), screen (23)(24)(25), fast break (26), substitution (27) and foul (28,29). Conducting those types of studies would compensate the limitation and help to fully understand the characteristics of the game.…”
Background: Asian national teams have not performed well compared to American and European teams at international competitions in basketball, possibly due in part to anthropometric disadvantages such as shorter height and wingspan. However, although anthropometric disadvantages exist in women as well as in men, Asian women have shown better performances in international competitions than Asian men. Therefore, Asian women might have developed unique strategy and tactics which would be reflected in game-related statistics. Objectives: This study aimed to investigate whether game-related statistics which discriminate winners from losers in women's basketball differ between Asian and European competitions. Methods: A total of 108 games from the 2011, 2013 and 2015 FIBA Asia Women's Championships were analyzed for Asian competitions, and a total of 178 games from the 2011, 2013 and 2015 FIBA EuroBasket Women were analyzed for European competitions. All games were classified into three types (balanced, unbalanced and very unbalanced) according to point differential by a k-means cluster analysis. A discriminant analysis was performed to identify game-related statistics which discriminate winners from losers in each game type. An absolute value of a structural coefficient (SC) equal to or above 0.30 was considered relevant for the discrimination. Results: Successful 2-point field goals discriminated winners from losers independent of the region or game type. Assists discriminated winners from losers except balanced games in Europe. Defensive rebounds discriminated winners from losers only in Europe. Conclusions: The most notable difference between Asian and European women's basketball was that defensive rebounds discriminated winners from losers in European but not in Asian competitions. It was suggested that losers in Asian games tended to lose ball possession before attempting field goals, and thus reducing opportunities for winners to get defensive rebounds.
“…Although a discriminant analysis of game-related statistics has been an established method and widely performed in basketball research, it is not enough to fully investigate the game. On the other hand, several recent studies have focused on specific elements of the game such as shot (22), screen (23)(24)(25), fast break (26), substitution (27) and foul (28,29). Conducting those types of studies would compensate the limitation and help to fully understand the characteristics of the game.…”
Background: Asian national teams have not performed well compared to American and European teams at international competitions in basketball, possibly due in part to anthropometric disadvantages such as shorter height and wingspan. However, although anthropometric disadvantages exist in women as well as in men, Asian women have shown better performances in international competitions than Asian men. Therefore, Asian women might have developed unique strategy and tactics which would be reflected in game-related statistics. Objectives: This study aimed to investigate whether game-related statistics which discriminate winners from losers in women's basketball differ between Asian and European competitions. Methods: A total of 108 games from the 2011, 2013 and 2015 FIBA Asia Women's Championships were analyzed for Asian competitions, and a total of 178 games from the 2011, 2013 and 2015 FIBA EuroBasket Women were analyzed for European competitions. All games were classified into three types (balanced, unbalanced and very unbalanced) according to point differential by a k-means cluster analysis. A discriminant analysis was performed to identify game-related statistics which discriminate winners from losers in each game type. An absolute value of a structural coefficient (SC) equal to or above 0.30 was considered relevant for the discrimination. Results: Successful 2-point field goals discriminated winners from losers independent of the region or game type. Assists discriminated winners from losers except balanced games in Europe. Defensive rebounds discriminated winners from losers only in Europe. Conclusions: The most notable difference between Asian and European women's basketball was that defensive rebounds discriminated winners from losers in European but not in Asian competitions. It was suggested that losers in Asian games tended to lose ball possession before attempting field goals, and thus reducing opportunities for winners to get defensive rebounds.
“…Certainly, NBA players are characterized by a superior strength, jump conditions (Gonzalez, et al, 2013;Sampaio, Lago, & Drinkwater, 2010) and a strong role specialization . Then, it seems logical to promote predefined and coordinated outside-inside behaviours like cutting towards the basket for an alley-oop, since players' physical condition allows them to easily score through dunking (Erčulj & Štrumbelj, 2015). More importantly, our findings point out the importance of specific inside players' displacement without the ball to increase odds of receiving the ball in optimal conditions as close to the basket as possible, enhancing scoring options.…”
Section: Offensive Performancementioning
confidence: 76%
“…In the NBA, there is a greater use of the inside pass compared to the European teams (Mavridis, Tsamourtzis, Karipidis, & Laios, 2009). In basketball, the majority of possessions are solved in the inside, chiefly in the NBA due to the athletic complexion of centers, making them specialists in shooting near the basket and dunking with a higher rate of effectiveness (Erčulj & Štrumbelj, 2015). Previous research exploring NBA playoffs series reported greater effectiveness in ball possessions when using inside pass (Courel-Ibáñez, McRobert, Ortega Toro, & Cárdenas Vélez, 2016).…”
The inside game constitutes an essential aspect of modern basketball, particularly in the National Basketball Association (NBA), in where the best players of the world compete. The purpose of this study was to identify players' dynamics that increase game performance when using inside pass in the NBA, considering game contextual effects. The sample included 808 inside passes from 25 randomly selected matches of the 2011 NBA Playoffs series. A series of logistic regression analyses were used to analyse passers and receivers' actions and their effectiveness during inside passes, both isolated and combined. Main results revealed that the interactions combining passer's previous actions (dribbling or faking) with receiver's cuts towards the basket achieved the highest offensive effectiveness. Performing screens in favour to the receiver was an effective alternative to increase inside passing options since it reduces the defensive pressure. Furthermore, player's actions prior to passing the ball were even more successful if combined and synchronized with the receivers' displacements, especially cutting to the basket. This information allows a better understanding of basketball collective strategies, contributing to the design of precise practice tasks and so improving the training process.
“…Ball possessions recorded had a score difference below 10 points (average = 1.64 ± 4.69 points). The choice of this specific sample was deliberate; first, NBA is the most important basketball club competition of the world; second, Playoffs confronted best season teams to become the champion, thus the maximum competitive level was expected until the end of the game; and third, possessions with short score differences ensure high players' activation and concentration levels (Erčulj & Štrumbelj, 2015).…”
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