Objective quantification of fatigue, along with subjective measures (i.e. perceptual) can provide helpful information on the readiness of athletes to practice, which is crucial to stabilize and/or ...improve performance. The aim of this study was to examine the relationship of objective and subjective measures of fatigue and training exertion in talented young basketball players. The results showed a significantly large relation between PRS and jump height (r =0.56; p <.001), peak velocity (r = 0.52; p <.001), flight time (r = 0.57; p <.001) and contraction time (r = 0.54; p <.001). In addition, the RPE and jump height (r = -0.70; p <.001) and peak velocity (r = -0.66; p <.001) were large and significantly correlated. Additionally, flight time (r = -0.71; p <.001) and RPE were very large and significantly correlated. The CMJ-derived variables, in particular the jump height, could be used to easily assess training demands and recovery, without athletes' subjective measures. Athletes may use this information to adjust training design, according to players' response.
Eccentric overload training was recently applied in movement variability analysis. The in-court response during training and match varies according to playing position, however, regarding ...eccentric-overload training, this dependency is scarcely explored. The aim of this study was to examine the influence of playing positions on physical parameters in strength exercises using eccentric-overload device. Nine under-16 regional level basketball players were recruited for this study. Participants were grouped according to their playing positions: point guards (n=3; height = 171.1 ±3.2 cm), wings (n=3; height = 170.7±4.1 cm) and power forwards (n=3; height = 188.2±4.1 cm). Point guards showed higher mean velocity (Vm) and Approximate entropy (ApEn) in all axis in Side. Wings presented higher ApEn in all axis in Back, while power forwards obtained a higher Vm. Finally, power forwards showed higher Vm and ApEn in all axis in Lateral.
In 2017, approximately 70 million March Madness brackets were completed worldwide, and more than $10 billion was wagered on the NCAA Division I Men’s Basketball Tournament both legally and otherwise ...(Goldberg, 2017). The difference between winning and losing in these contests is often one’s ability to correctly predict a few game outcomes where the lower-seeded underdog defeats the higher-seeded favorite in what is known as an upset. As the tournament has expanded and its popularity has increased, the term “upset” has become synonymous with March Madness. These games provide elation or heartbreak for players, coaches, students, fans, alumni, bettors and neutral viewers. On average, there are approximately six upsets annually in Round 1 alone of the NCAA Division I Men’s Basketball Tournament. Many theories have been proposed that attempt to identify which matchups will result in upsets. However, most theories rely on “gut feelings” or have a subconscious bias for or against certain teams based on the individual’s rooting interest.Our prediction method combines data sets published by the basketball analytics industry’s foremost experts with historical tournament seed data to accurately predict which March Madness tournament matchups are most likely to result in upsets. It removes personal bias by considering only independently-generated data from neutral sources and provides an objective evaluation of all teams participating in the 2017 NCAA Division I Men’s Basketball Tournament.
El propósito de esta investigación fue la validación del protocolo Five Dot Drill en basquetbolistas entre los 10 y 24 años de edad. Se tomaron tres grupos de 20 personas por rangos de edad, ...completando un total de 60 personas, con los que se realizó la recolección de datos aplicando a cada grupo el protocolo Five Dot Drill, implementando la herramienta del OptoGait, el Test de Agilidad Illinois y la toma de perímetros y longitudes de miembro inferior. Posteriormente se aplicó un modelo estadístico que permitió establecer una relación entre los diferentes grupos y se realizaron pruebas de normalidad, las cuales concluyeron en resultados anormales respecto a la cantidad poblacional. El estudio mostró correlaciones por rangos de edad respecto a las pruebas estadísticas aplicadas; sin embargo, las variables antropométricas no establecen relación con las pruebas del Test de Illinois o delprotocolo Five Dot Drill, aunque la relación entre ambas pruebas argumenta que es posible utilizar el protocolo para estimar la agilidad en el baloncesto.
The aim of this study was to describe the physical demands during U18 elite basketball games according to the game quarter and to identify a smaller subset of variables and threshold scores that ...distinguish players' physical performance in each quarter.
Data was collected from ninety-four players who participated in the study (age: 17.4 ± 0.74 years; height: 199.0 ± 0.1 cm; body mass: 87.1 ± 13.1 kg) competing in the Euroleague Basketball Next Generation Tournament. Players' movements during the games were measured using a portable local positioning system (LPS) (WIMU PRO®, Realtrack Systems SL, Almería, Spain) and included relative distance (total distance / playing duration), relative distance in established speed zones, high-intensity running (18.1-24.0 km·h-1) and sprinting (> 24.1 km·h-1). player load, peak speed (km·h-1) and peak acceleration (m·s-2) number of total accelerations and total decelerations, high intensity accelerations (> 2 m·s-2) and decelerations (< -2 m·s-2).
There was an overall decrease in distance covered, player load, number of high intensity accelerations and decelerations between the first and last quarter of the games in all playing positions. A classification tree analysis showed that the first quarter had much influence of distance covered (above 69.0 meters), distance covered <6.0 km·h-1 and accelerations (> 2 m·s-2), whereas the fourth quarter performance had much influence of distance covered (below 69.0) and distance covered 12.1-18.0 km·h-1.
A significant reduction in physical demands occurs during basketball, especially between first and last quarter for players in all playing positions during basketball games of under 18 elite players.
El objetivo del presente estudio es analizar el reflejo en la prensa deportiva de los éxitos cosechados por las Selecciones Masculina y Femenina Absolutas de Baloncesto y si los éxitos implican un ...seguimiento constante en las páginas de los diarios especializados entre 1979 y 2010. Las categorías objeto de estudio son: a) el año; b) el género de los protagonistas; c) los titulares: la inclusión de acto de habla en el título y la inclusión de un nombre propio; y d) los temas tratados. Se analizaron 9.716 informaciones sobre baloncesto. Los resultados más significativos muestran: a) un aumento de protagonismo de los hombres; b) la escasa presencia de las mujeres en los titulares de las informaciones; y c) la casi inexistencia de ídolos femeninos en la prensa deportiva.
La fatiga mental tiene un efecto negativo en tareas de resistencia, pero poco se sabe de su efecto en habilidades deportivas de precisión. El objetivo de este estudio fue comprobar si el esfuerzo ...mental reduce la eficacia de los tiros libre en baloncesto. 18 jugadores semiprofesionales realizaron el experimento. El grupo experimental realizó la prueba de memoria 2-back, mientras otro grupo control realizó la versión Oddball de la misma tarea, una versión que no genera fatiga del ejecutivo central. Los participantes del grupo experimental tuvieron un porcentaje de acierto inferior al del grupo control. Estos resultados demuestran la influencia negativa de la fatiga mental sobre habilidades de precisión como es el tiro libre en baloncesto.
O objetivo deste estudo empírico, associativo, preditivo e transversal foi analisar os fatores associados à eficácia no desempenho esportivo de equipes campeãs de basquetebol em categorias de ...formação. Utilizou-se o Instrumento de Avaliação do Desempenho Técnico-Tático Individual no Basquetebol (Folle et al., 2014) para analisar 10.948 ações de jogo de 26 atletas de basquetebol feminino em competições estaduais das categorias sub-16 e sub-18. A análise das informações coletadas foi realizada no software estatístico SPSS 23, por meio de modelos de regressão logística binária, considerando-se o nível de significância de 5%. Os resultados evidenciam que os principais fatores associados à eficácia no desempenho esportivo compreendem a tomada de decisão e a adaptação durante o jogo, bem como o tempo de experiência esportiva e o nível de experiência competitiva.
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