Dynamic Modeling of Performance in Basketball

Malarranha, Jorge; Figueira, Bruno; Leite, Nuno; Sampaio, Jaime

doi:10.1080/24748668.2013.11868655

Cited by 34 publications

(57 citation statements)

References 20 publications

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“…Specifically, during the last stages of basketball games the fouls are a resource used by the teams to reduce the game pace and comeback the score differences (Bar-Eli and Tractinsky, 2000;Kozar et al, 1994). In addition, Malarranha et al (2013) identified that the free-throws are important during the last five minutes of a close game for a positive game outcome (i.e., winning). Along these lines, the defensive fouling strategy during the last minutes tries to stop the game and reduces the points scored per possession by the fouling team via free-throws (e.g., fouling limits the chances of scoring 2-and 3-points field-goals in one posession) (Kenter, 2015).…”

Section: Discussionmentioning

confidence: 99%

Performance analysis of game dynamics during the 4^th game quarter of NBA close games

Gómez

Gasperi

Lupo

2016

International Journal of Performance Analysis in Sport

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The purpose of the present study was to identify which situational variables and technical-tactical variables allow to discriminate home and away teams during the fourth quarters of close NBA basketball games according to the scoring trends. The sample comprised 48 men's NBA close games (below 10 points of difference) during the 2013-14 regular season. The situational variables (starting quarter score, game location, and quality of opposition) and technical-tactical variables (game situation, defense type, outcome, shot type, technical execution, defense on the shooter, play events and mean played clock-time) were studied. The main results showed that the variables that best differentiated home and away teams were: i) starting quarter score, free-throws scored, 3-point fieldgoals from central positions, and defensive fouls during balanced scoring trends between teams; ii) game location, quality of opposition, ball possession success, 2-point field-goals inside and outside the central positions, 3-point field-goals from central and right court positions, and defensive rebounds during home teams' positive scoring trends; and iii) starting quarter score, game location, quality of opposition, ball possession success, alley-hop, the stop-shot, the 1 defense on the shooter, the 2 or >2 defense on the shooter and block 1 in defense during away teams' positive scoring trends. The identified trends allow improving the game understanding during last stages of close games and help the coaches to plan practice sessions and deciding better in competition.

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Section: Discussionmentioning

confidence: 99%

Performance analysis of game dynamics during the 4^th game quarter of NBA close games

Gómez

Gasperi

Lupo

2016

International Journal of Performance Analysis in Sport

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“…O ne of the most important areas of sports science research is the research of the variables of the competition activity (game), the change of their characteristics in the most important competitions (O'Donoghue, 2010). Recording and evaluating player readiness and performance indicators is the fundamental function of the management of basketball players' sports training (Malarranha, Figueira, Leite, & Sampaio, 2013). The analysis of the performance indicators of the Worlds and Europe best basketball teams provides a lot of objective information about the basketball game, its development and the results achieved (Kreivyte et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Shooting Analysis of Lithuanian National Basketball Men’s Teams in Different Age Categories

Danilevičius

Kreivytė

2019

Baltic Journal of Sport and Health Sciences

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Background. One of the most important problems for players, coaches and scientists is improving the accuracy of shooting the basket. It is the most important technique for playing basketball, and its dependence on performance is multifaceted. Methods. All 37 games in the 2015 European Championships in U16, U18, U20 and men’s national team were analyzed. Data was selected from the official boxscores of FIBA (International Basketball Federation). The following absolute game-related statistics were gathered: free-throws, 2-point and 3-point field goals (both successful and unsuccessful). The obtained values of the rate of success of 2-point, 3-point and free throw shooting were tested by the non-parametric Mann–Whitney U-test. The statistical analyses were performed using SPSS for Windows, version 20.0, and statistical significance was set at p < .05. Results. Comparing the number and accuracy of shots taken from 2-point distance, we found that there was no significant difference between men of different ages (p > .05). Most 3-point shots were done by U16 youth team, the least was in men’s national basketball team, a significant difference in the indicators (p < .05) was found between all the teams, except between men’s national team and U18 (p > .05). Comparing free-throws’ indicators between different age groups, most throws were done by U16 team, the least were done by the U20 team (p < .05); however, there were no differences between the other significant indicators (p > .05). Comparing free-throws accuracy indicators between the different age groups of basketball teams, significant differences in indicators were found between men’s national basketball team and U20, U16 (p < .05). Conclusions. The count of 2-point shots made in Lithuanian different age basketball national team games was more or less similar. Most 3-point shots were made by U16 team and the national men’s team made least 3-pointers. The indicators of accuracy did not have a significant difference between national teams, except for free throws: men’s national team made these shots most accurately, opposite situation was with U16 team.

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“…Por su parte, Malarranha et al (2013), realizan un modelo dinámico de rendimiento, en el que la relación de las variables explica los sucesos durante el partido de baloncesto. En el caso de los tiros libres, se encuentran muy relacionados con la variable tiempo, resultando mucho más significativos en los últimos 5 minutos del partido, como modo de diferenciar ganadores y perdedores.…”

Section: Drop En El Baloncestounclassified

Estudio del rendimiento bajo presión en los tiros libres en baloncesto, y su influencia sobre el porcentaje de acierto durante el último minuto de juego

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AGRADECIMIENTOS:A Alberto Lorenzo Calvo y Miguel Ángel Gómez Ruano, mis directores de tesis.A Alberto, por darme siempre su ayuda incondicional bajo cualquier circunstancia.Nunca te estaré lo suficientemente agradecido.A Miguel Ángel, por darme la idea original del trabajo, y haber estado ahí cuando más lo necesitaba.Es difícil encontrar las palabras idóneas cuando hay tanto que agradecer.A David Martínez, por prestarme su gran conocimiento, su limitado tiempo, su paciencia infinita, y su maravillosa simpatía.A Pepe González, por dármelo todo. Especialmente, las palabras correctas en el momento correcto. Te debo mucho.A todos los docentes que han influido en mi vida personal y profesional (tanto en la facultad de Ciencias de la Actividad Física y del Deporte, de la Universidad Politécnica de Madrid, como en las de Fisioterapia, y Magisterio, de la Universidad de Alcalá).A todos los entrenadores que desde los 8 años han influido en mi desarrollo como jugador, entrenador, preparador físico, y fisioterapeuta, dentro del mundo del baloncesto.A todos los familiares, amigos, socios, y pacientes que en las últimas fechas han aportado su granito de arena para que lograse tener tiempo suficiente para poder hacer realidad este trabajo. Os compensaré a todos. Especialmente a ti, Aurora. III RESUMEN.El minuto final de un partido ajustado de baloncesto es un momento crítico que está sujeto a multitud de factores que influyen en su desarrollo. Así, el porcentaje de acierto en los tiros libres durante ese periodo de tiempo va a determinar, en muchas ocasiones, el resultado final del partido.La disminución de rendimiento (drop) en esta faceta de juego en condiciones de presión, puede estar relacionada con múltiples variables propias del contexto deportivo estudiado, como por ejemplo: los segundos restantes de posesión, la situación en el marcador (ir ganando, empatando o perdiendo), la localización del partido (jugar en casa o fuera), la fase de competición (fase regular o eliminatorias) o el nivel del equipo (mejores/peores equipos). Además, las características del jugador que realiza los lanzamientos tienen una gran importancia respecto a su edad y años de experiencia para afrontar los momentos críticos, así como el puesto de juego que ocupa en el equipo. En este sentido, la combinación de factores del contexto y del jugador, permiten interactuar en el rendimiento del lanzador en los momentos finales de partido durante sus lanzamientos de tiro libre.El presente trabajo de tesis doctoral tiene como objetivo encontrar aquellas variables más relacionadas con la disminución de rendimiento del jugador en los tiros libres durante el último minuto de juego, y la última serie de tiros libres en los partidos ajustados de baloncesto.Para alcanzar el objetivo del estudio se analizaron 124 partidos ajustados (diferencias iguales o inferiores a 2 puntos) de todas las competiciones (fase regular, playoff y copa Los resultados principales del estudio mostraron que existe una disminución del rendimiento del jugador en su porcentaje de aciert...

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Dynamic Modeling of Performance in Basketball

Cited by 34 publications

References 20 publications

Performance analysis of game dynamics during the 4^th game quarter of NBA close games

Performance analysis of game dynamics during the 4^th game quarter of NBA close games

Shooting Analysis of Lithuanian National Basketball Men’s Teams in Different Age Categories

Estudio del rendimiento bajo presión en los tiros libres en baloncesto, y su influencia sobre el porcentaje de acierto durante el último minuto de juego

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Dynamic Modeling of Performance in Basketball

Cited by 34 publications

References 20 publications

Performance analysis of game dynamics during the 4th game quarter of NBA close games

Performance analysis of game dynamics during the 4th game quarter of NBA close games

Shooting Analysis of Lithuanian National Basketball Men’s Teams in Different Age Categories

Estudio del rendimiento bajo presión en los tiros libres en baloncesto, y su influencia sobre el porcentaje de acierto durante el último minuto de juego

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Performance analysis of game dynamics during the 4^th game quarter of NBA close games

Performance analysis of game dynamics during the 4^th game quarter of NBA close games