Is physical fitness related with in-game physical performance? A case study through local positioning system in professional basketball players

Author(s):  
Alejandro Rodríguez-Fernández ◽  
Rodrigo Ramírez-Campillo ◽  
Javier Raya-González ◽  
Daniel Castillo ◽  
Fabio Y Nakamura

The purpose of this study was to investigate the relationship between physical fitness and external load determined by local positioning system (LPS) in a simulated basketball game. Fourteen professional male basketball players performed a lane agility drill, 20-m maximal sprint speed, countermovement jump (CMJ), drop jump, and repeated sprint tests. Player movements during games (two games of 4 × 7 min) were measured using a portable WIMUPRO LPS and six ultra-wideband antennas. Distance covered, and distance covered in different speed zones, accelerations, and decelerations were recorded. The results obtained showed significant relationship between (a) distance at high decelerations (>−2.0 m s−2) and 20-m maximal sprint speed ( r = 0.669, p = 0.049); (b) 20-m maximal sprint speed and maximal speed in simulated games ( r = 0.576, p = 0.031); (c) CMJ height and sprint distance (>24.1 km h−1) covered in simulated games ( r = 0.772, p = 0.001); and (d) high decelerations and 20-m maximal sprint speed ( r = 0.669, p = 0.049) and best time in the RSA test ( r = −0.731, p = 0.039). Coaches and strength and conditioning coaches must adjust their training to optimize speed and jumping ability, as they are reflected in physical performance in-game. Players who reach higher speeds (i.e. RSAbest and 20-m sprint time) and CMJ height in field tests may be affected by greater deceleration load in specific training and competition (eccentric contraction). Since hamstring muscles suffer great strain during deceleration, they are more prone to injury, thus these players may require a specific training program to decrease performance losses and risk of injury.

Author(s):  
Rubén Portes ◽  
Sergio L. Jiménez ◽  
Rafael M. Navarro ◽  
Aaron T. Scanlan ◽  
Miguel-Ángel Gómez

The aim of the present study was to compare external loads (EL) between elite, junior, male and female basketball players. Male (n = 25) and female players (n = 48) were monitored during 11 competitive matches (3 matches per team). EL was measured using local positioning system and microsensor technology to determine total, high-intensity (14–21 km·h−1), and sprint (>21 km·h−1) distance (m) covered, total (n) and relative (n·min−1) accelerations and decelerations, ratio of accelerations:decelerations, and total (arbitrary units [AU]) and relative (AU·min−1) player load. EL was compared between sexes overall and according to each playing position (guards, forwards, and centers). Males covered larger (p < 0.05) high-intensity and sprint distances, and completed more (p < 0.05) decelerations than females; while female players experienced a greater (p < 0.05) ratio of accelerations:decelerations. Greater decelerations (p < 0.05) were observed for males in the guard position compared to females, while more (p < 0.05) accelerations·min−1 were apparent for females in the forward position compared to males. The current findings indicate differences in EL, particularly the high-intensity and acceleratory demands, exist between elite, junior, male and female basketball players during competition and are affected by playing position. These outcomes can be used in developing sex- and position-specific training plans, and in turn improving the physical preparedness of junior basketball players for competition demands at the elite level.


Author(s):  
Javier Raya-González ◽  
Aaron T. Scanlan ◽  
María Soto-Célix ◽  
Alejandro Rodríguez-Fernández ◽  
Daniel Castillo

Purpose: To examine the effects of acute caffeine supplementation on physical performance during fitness testing and activity during simulated games in basketball players. Methods: A double-blind, counterbalanced, randomized, crossover study design was followed. A total of 14 professional male basketball players ingested a placebo (sucrose) and caffeine (6 mg·kg−1 of body mass) in liquid form prior to completing 2 separate testing sessions. Each testing session involved completion of a standardized 15-minute warm-up followed by various fitness tests including 20-m sprints, countermovement jumps, Lane Agility Drill trials, and a repeated-sprint-ability test. Following a 20-minute recovery, players completed 3 × 7-minute 5-vs-5 simulated periods of full-court basketball games, each separated by 2 minutes of recovery. Local positioning system technology was used to measure player activity during games. Players completed a side-effects questionnaire 12 to 14 hours after testing. Results: Players experienced significant (P < .05), moderate–very large (effect size = −2.19 to 0.89) improvements in 20-m sprint, countermovement jump, Lane Agility Drill, and repeated-sprint-ability performance with caffeine supplementation. However, external workloads completed during simulated games demonstrated nonsignificant, trivial–small (effect size = −0.23 to 0.12) changes between conditions. In addition, players reported greater (P < .05) insomnia and urine output after caffeine ingestion. Conclusions: Acute caffeine supplementation could be effective to improve physical performance during tests stressing fitness elements important in basketball. However, acute caffeine supplementation appears to exert no meaningful effects on the activity completed during simulated basketball games and may promote sleep disturbances and exert a diuretic effect when taken at 6 mg·kg−1 of body mass in professional players.


Author(s):  
David Mancha-Triguero ◽  
Javier García-Rubio ◽  
Antonio Antúnez ◽  
Sergio J. Ibáñez

Current trends in the analysis of the physical fitness of athletes are based on subjecting the athlete to requirements similar to those found in competition. Regarding physical fitness, a thorough study of the capacities that affect the development of team sports in different ages and gender is required since the demands are not equivalent. The objective of this paper was to characterize the physical-physiological demands of athletes in an aerobic and anaerobic test specific to basketball players, as well as the evolution of the variables according to age and gender. The research was carried out in 149 players from different training categories (n = 103 male; n = 46 female). The athletes performed two field tests that evaluated both aerobic capacity and lactic anaerobic capacity. Each athlete was equipped with an inertial device during the tests. Sixteen variables (equal in both tests) were analyzed. Three of them evaluated technical-tactical aspects, four variables of objective internal load, six kinematic variables of objective external load (two related to distance and four related to accelerometry) and three neuromuscular variables of objective external load. The obtained results show significant differences in the variables analyzed according to the age and gender of the athletes. They are mainly due to factors related to the anthropometric maturation and development inherent in age and have an impact on the efficiency and technical and tactical requirements of the tests carried out and, therefore, on the obtained results in the tests.


2021 ◽  
Author(s):  
Karol Gryko ◽  
Jakub Grzegorz Adamczyk ◽  
Anna Kopiczko ◽  
Jorge Lorenzo Calvo ◽  
Alberto Lorenzo Calvo ◽  
...  

Abstract Background: The aims of the study were (i) to identify the physical fitness and basic anthropometric characteristics of Polish female basketball players aged 13 to 15 years, (ii) to show the effect of maturity timing on the performance in motor tests and basic body composition parameters, (iii) to identify the index that contributes most to the prediction of performance in the tests of speed, jumping ability, agility, and endurance. Methods: The sample included 925 female Polish players (U13-15). In part 1, maturity timing category distribution were examined within across age-groups. In part 2, the relationship between the anthropometric variables, physical fitness performance was assessed based on maturity timing categories (ANCOVA analysis). In part 3, backward stepwise multiple regression analyse quantified the relationship between maturity timing (group of PHV) and physical performance.Results: ANCOVA results (age, body height, and body mass as covariates) showed in the U13 female basketball players significantly higher sprinting (20m), jumping ability and endurance tests results of the PHV1 group.Better results was observed in U14 female players in PHV1 compared to PHV2 and PHV3 in 20m and jumping tests but opposite trend was observed for 5m sprint and endurance test (distance covered and VO2max). U15 basketball players from the PHV3 group were characterized by better results of jumping abilities, endurance, 10m and 20m sprint and agility (total, S4) tests. Maturity timing (10m), chronological age (5 m, 20 m, agility, SVJ, VJ, and VO2max tests), body height (10m), body mass (10m, 20m, VJ, VO2max), and the interaction between body mass and height (SVJ) were significant (adjusted R2 = 0.02-0.10; p < 0.001) predictors of motor skills. Conclusion: The results can help the coaches to personalize training programs and to adapt the training content to the biological age of the players.


2017 ◽  
Vol 36 (15) ◽  
pp. 1727-1733 ◽  
Author(s):  
F. R. Serpiello ◽  
W. G. Hopkins ◽  
S. Barnes ◽  
J. Tavrou ◽  
G. M. Duthie ◽  
...  

2020 ◽  
Vol 37 (4) ◽  
pp. 351-357 ◽  
Author(s):  
Antoine Fleureau ◽  
Mathieu Lacome ◽  
Martin Buchheit ◽  
Antoine Couturier ◽  
Giuseppe Rabita

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4860
Author(s):  
Carlos Serrano ◽  
Jose Luis Felipe ◽  
Jorge Garcia-Unanue ◽  
Enrique Ibañez ◽  
Enrique Hernando ◽  
...  

The aim of this study was to analyze the influence of the match half and the playing position on physical requirements in the Spanish Professional Futsal League players during official games. The external load from distance, speed, acceleration and deceleration variables were obtained from fourteen elite futsal players during 10 official matches of the 2019–2020 season using a Local Positioning System with ultra-wideband technology installed on the futsal pitch. The results revealed similar results from physical requirements between first and second half (p > 0.05). Wingers demonstrated greater high-speed running distance (+4.04 m·min−1; CI95%: 0.35 to 7.72; ES: 0.87) than pivots (p > 0.05). There were a high number of accelerations (7.42–9.41 n·min−1) and decelerations (7.37–9.12 n·min−1) per minute in all player positions. The principal finding of the current manuscript did not evidence differences in the physical performance of players between the first and second half. The physical requirements varied among pivots and wingers regarding high-intensity actions. These outcomes add new contributions to the understanding of futsal physical demands.


Author(s):  
Jelena Ivanović ◽  
Filip Kukić ◽  
Gianpiero Greco ◽  
Nenad Koropanovski ◽  
Saša Jakovljević ◽  
...  

This study investigated the hierarchical structure of physical characteristics in elite young (i.e., U17-U19) basketball players according to playing positions. In addition, their predictive value of physical characteristics was determined for the evaluation of players’ physical preparedness. Sixty elite male basketball players performed 13 standardized specific field tests in order to assess the explosive power of lower limbs, speed, and change-of-direction speed. They were divided into three groups according to playing positions (guard [n = 28], forward [n = 22], center [n = 10]). The basic characteristics of the tested sample were: age = 17.36 ± 1.04 years, body height = 192.80 ± 4.49 cm, body mass = 79.83 ± 6.94 kg, and basketball experience = 9.38 ± 2.10 years for guards; age = 18.00 ± 1.00 years, body height = 201.48 ± 3.14 cm, body mass = 90.93 ± 9.85 kg, and basketball experience = 9.93 ± 2.28 years for forwards; and age = 17.60 ± 1.43 years; body height = 207.20 ± 3.29 cm, body mass = 104.00 ± 9.64 kg, and basketball experience = 9.20 ± 1.62 years for centers. For all playing positions factor analysis extracted three factors, which cumulatively explained 76.87, 88.12 and 87.63% of variance, respectively. The assessed performance measures were defined as significant (p < 0.001), with regression models of physical performance index (PPINDEX). PPINDEX of guards = −6.860 + (0.932 × t-test) − (1.656 × Acceleration 15 m) − (0.020 × Countermovement jump); PPINDEX of forwards = −3.436 − (0.046 × Countermovement jump with arm swing) − (1.295 × Acceleration 15 m) + (0.582 × Control of dribbling); PPINDEX of centers = −4.126 + (0.604 × Control of dribbling) − (1.315 × Acceleration 15 m) − (0.037 × Sargent jump). A model for the evaluation of physical performance of young basketball players has been defined. In addition, this model could be used as a reference model for selection procedures, as well as to monitor the efficacy of applied training programmes within the short, medium and long-term periodization.


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