The effects of defensive style and final game outcome on the external training load of professional basketball players

2021 ◽  
Author(s):  
Daniel Castillo ◽  
Javier Raya-González ◽  
Filipe Clemente ◽  
Daniele Conte ◽  
Alejandro Rodríguez-Fernández
Keyword(s):  
Training Load ◽  
Basketball Players ◽  
Professional Basketball ◽  
Game Outcome ◽  
External Training ◽  
Defensive Style

Defensive Strategy and Player Sex Impact Heart-Rate Responses During Games-Based Drills in Professional Basketball

2020 ◽  
pp. 1-7
Author(s):  
David Suárez-Iglesias ◽  
Rubén Dehesa ◽  
Aaron T. Scanlan ◽  
José A. Rodríguez-Marroyo ◽  
Alejandro Vaquera
Keyword(s):  
Heart Rate ◽  
Training Stimulus ◽  
Training Load ◽  
Defensive Strategy ◽  
Basketball Players ◽  
Professional Basketball ◽  
Defensive Strategies ◽  
Cardiovascular Stress ◽  
The Impact ◽  
And Training

Purpose: Games-based drills (GBD) are the predominant form of training stimulus prescribed to male and female basketball players. Despite being readily manipulated during GBD, the impact of defensive strategy on the sex-specific demands of GBD remains unknown. Therefore, the aim of this study was to quantify and compare the heart-rate (HR) responses experienced during 5v5 GBD using different defensive strategies (man-to-man defense vs zone defense [ZD] formations) according to player sex. Method: HR was recorded in 11 professional male and 10 professional female basketball players while performing 5v5 GBD with different defensive strategies (man-to-man defense or ZD). HR-based training load was also calculated using the summated heart-rate zones model. Results: During man-to-man defense, mean HR (), relative time (in percentage) spent working at 90% to 100% maximal HR (), and summated heart-rate zones () were greater (P < .05) in female players compared with males. During ZD, higher (P < .01) peak HR (), mean HR (), relative and absolute (in minutes) time spent working at 80% to 89% maximal HR ( and .03, respectively) and 90% to 100% maximal HR ( and .09, respectively), and summated heart-rate zones () were observed in female players compared with males. Conclusions: The defensive strategy employed during 5v5 full-court GBD influences HR responses and training load differently according to sex, where female players experience higher HR responses than males, especially when ZD are adopted. Basketball coaching staff can use these findings for the precise manipulation of team defenses during GBD to elicit desired cardiovascular stress on players.

scholarly journals Perceived Training Load, Muscle Soreness, Stress, Fatigue, and Sleep Quality in Professional Basketball: A Full Season Study

2019 ◽  
Vol 67 (1) ◽  
pp. 199-207 ◽  
Author(s):  
Filipe Manuel Clemente ◽  
Bruno Mendes ◽  
Sarah da Glória Teles Bredt ◽  
Gibson Moreira Praça ◽  
André Silvério ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Muscle Soreness ◽  
Training Session ◽  
Training Load ◽  
Basketball Players ◽  
Professional Basketball ◽  
Moderate Effect ◽  
Stress Fatigue

AbstractThis study aimed to compare the perceived training load (session-RPE) and wellness status (muscle soreness, stress, fatigue, and sleep quality) within and between regular (one-match) and congested (two matches) weeks. Fifteen professional basketball players from a European First league club participated in this study. Wellness status (Hooper’s questionnaire) and perceived training loads (session-RPE) were measured for each training session and matches over a full season. Regular weeks presented moderately greater session-RPE than congested weeks (p = 0.201; d = 2.15, moderate effect). Both regular and congested weeks presented a decrease in perceived training load before matches, which was accompanied by improved wellness status on a match day. Congested weeks presented moderately lower sleep quality (p = 0.421; d = 1.320, moderate effect) and moderately greater fatigue (p = 0.468; d = 1.401, moderate effect) than regular weeks. Regular and congested weeks presented minimum differences for DOMS and stress. Lower wellness in congested weeks may be associated to an accumulative effect of training and match loads. Tapering phases before matches seem to play an important role for improving athletes’ wellness and preventing overtraining.

The Relationship Between Training Load and Injury in Men’s Professional Basketball

2017 ◽  
Vol 12 (9) ◽  
pp. 1238-1242 ◽  
Author(s):  
Kaitlyn J. Weiss ◽  
Sian V. Allen ◽  
Mike R. McGuigan ◽  
Chris S. Whatman
Keyword(s):  
Regression Model ◽  
Perceived Exertion ◽  
Training Load ◽  
Rating Of Perceived Exertion ◽  
Self Report ◽  
Basketball Players ◽  
Professional Basketball ◽  
Trauma Research ◽  
Mean Differences ◽  
The Relationship

Purpose:To establish the relationship between the acute:chronic workload ratio and lower-extremity overuse injuries in professional basketball players over the course of a competitive season. Methods:The acute:chronic workload ratio was determined by calculating the sum of the current week’s session rating of perceived exertion of training load (acute load) and dividing it by the average weekly training load over the previous 4 wk (chronic load). All injuries were recorded weekly using a self-report injury questionnaire (Oslo Sports Trauma Research Center Injury Questionnaire20). Workload ratios were modeled against injury data using a logistic-regression model with unique intercepts for each player. Results:Substantially fewer team members were injured after workload ratios of 1 to 1.49 (36%) than with very low (≤0.5; 54%), low (0.5–0.99; 51%), or high (≥1.5; 59%) workload ratios. The regression model provided unique workload–injury trends for each player, but all mean differences in likelihood of being injured between workload ratios were unclear. Conclusions:Maintaining workload ratios of 1 to 1.5 may be optimal for athlete preparation in professional basketball. An individualized approach to modeling and monitoring the training load–injury relationship, along with a symptom-based injury-surveillance method, should help coaches and performance staff with individualized training-load planning and prescription and with developing athlete-specific recovery and rehabilitation strategies.

Profile of Weekly Training Load in Elite Male Professional Basketball Players

2010 ◽  
Vol 24 (5) ◽  
pp. 1399-1406 ◽  
Author(s):  
Vincenzo Manzi ◽  
Stefano DʼOttavio ◽  
Franco M Impellizzeri ◽  
Anis Chaouachi ◽  
Karim Chamari ◽  
...  
Keyword(s):  
Training Load ◽  
Basketball Players ◽  
Professional Basketball ◽  
Weekly Training

scholarly journals Relationships between wellness status and perceived training load on daily and weekly bases over a basketball season

Kinesiology ◽  
2020 ◽  
Vol 52 (1) ◽  
pp. 151-156
Author(s):  
Filipe Manuel Clemente ◽  
Sarah Glória Teles Bredt ◽  
Gibson Moreira Praça ◽  
Emanuel Duarte ◽  
Bruno Mendes
Keyword(s):  
Sleep Quality ◽  
Physiological Response ◽  
Muscle Soreness ◽  
Training Session ◽  
Training Load ◽  
Basketball Players ◽  
Professional Basketball ◽  
Delayed Onset ◽  
Stress Fatigue ◽  
The Impact

This study aimed to determine the relationships between internal training load (session-RPE) and wellness status (delayed onset muscle soreness – DOMS, stress, fatigue, and sleep quality) on both daily and weekly bases over a basketball season. Fifteen professional basketball players provided their wellness status and perceived training load for all training sessions and matches over a season. Daily correlations were based on the perceived load of a training session/match and the wellness status rated on the following day (before the next session). Weekly correlations were based on the sum of all ratings of the week for each variable. Results showed that DOMS and fatigue presented higher correlations with session-RPE than stress and sleep quality on both daily and weekly analyses. Daily measures presented small-to-moderate correlations between the perceived training load and wellness categories over the months. Weekly correlations increased (moderate-tolarge) for all wellness categories, except for stress. We concluded that DOMS and fatigue are more associated to session-RPE than stress and sleep quality in professional basketball players. Weekly analyses may help coaches to better understand the impact of training load on athletes’ physical wellness (DOMS and fatigue), possibly due to a delayed physiological response to training load.

scholarly journals Relationships Between Different Internal and External Training Load Variables and Elite International Women’s Basketball Performance

2020 ◽  
pp. 1-10
Author(s):  
Joseph O.C. Coyne ◽  
Aaron J. Coutts ◽  
Robert U. Newton ◽  
G. Gregory Haff
Keyword(s):  
Perceived Exertion ◽  
Efficiency Index ◽  
Training Load ◽  
Ratings Of Perceived Exertion ◽  
Basketball Players ◽  
Smoothing Methods ◽  
Women's Basketball ◽  
External Training ◽  
Training Stress ◽  
Training Efficiency

Purpose: To investigate the relationships between internal and external training load (TL) metrics with elite international women’s basketball performance. Methods: Sessional ratings of perceived exertion, PlayerLoad™/minute, and training duration were collected from 13 elite international-level female basketball athletes (age 29.0 [3.7] y, stature 186.0 [9.8] cm, body mass 77.9 [11.6] kg) during the 18 weeks prior to the International Basketball Federation Olympic qualifying event for the 2016 Rio Olympic Games. Training stress balance, differential load, and the training efficiency index were calculated with 3 different smoothing methods. These TL metrics and their change in the last 21 days prior to competition were examined for their relationship to competition performance as coach ratings of performance. Results: For a number of TL variables, there were consistent significant small to moderate correlations with performance and significant small to large differences between successful and unsuccessful performances. However, these differences were only evident for external TL when using exponentially weighted moving averages to calculate TL. The variable that seemed most sensitive to performance was the change in training efficiency index in the last 21 days prior to competition (performance r = .47–.56, P < .001 and difference between successful and unsuccessful performance P < .001, f2 = 0.305–0.431). Conclusions: Internal and external TL variables were correlated with performance and distinguished between successful and unsuccessful performances among the same players during international women’s basketball games. Manipulating TL in the last 3 weeks prior to competition may be worthwhile for basketball players’ performance, especially in internal TL.

scholarly journals Differences between training and game loads in young basketball players

2019 ◽  
Vol 21 ◽  
Author(s):  
Fernanda Martins Brandão ◽  
Dilson Borges Ribeiro Junior ◽  
Vinícius Figueirôa da Cunha ◽  
Gustavo Bellini Meireles ◽  
Maurício Gattás Bara Filho
Keyword(s):  
Training Stimulus ◽  
Young Male ◽  
Training Load ◽  
Physiological Data ◽  
Basketball Players ◽  
Mean Values ◽  
Paired Samples ◽  
External Training ◽  
The Mean ◽  
Game Session

Abstract The same training stimulus can provide different physiological adaptations for athletes of the same team.The aim of this study was to compare training and game loads in young male basketball players. Data were obtained from 4 training sessions and one game session usingPolar Team Pro equipment. Physiological data (HR) were used to monitor internal responses through Edwards’TRIMP,and data on distance traveled by the player on the court (External Training Load).To observe differences between eTRIMP,HR max and distance traveled,the T-Test was used for paired samples. The mean internal training load, according to Edwards’TRIMP, for the four training sessions was 132 ± 69. Mean HR max and distance traveled values were 143 ± 67 and 2.273 ± 1170, respectively. Regarding game load, Edwards’TRIMP,maximum HR and distance traveled were 108 ± 33, 199 ± 4 and 2.240 ± 617, respectively. No statistically significant differences were found between the mean values of training sessions compared to the game session in relation to the Edwards’ TRIMP measures and distance traveled, but HR max was significantly higher during the game compared to training. It was concluded that the loads applied during training are similar to those applied in the game.

scholarly journals Internal and External Training Load in Under-19 versus Professional Soccer Players during the In-Season Period

2021 ◽  
Vol 18 (2) ◽  
pp. 558
Author(s):  
Sullivan Coppalle ◽  
Guillaume Ravé ◽  
Jason Moran ◽  
Iyed Salhi ◽  
Abderraouf Ben Abderrahman ◽  
...  
Keyword(s):  
Perceived Exertion ◽  
Training Session ◽  
Training Load ◽  
Rating Of Perceived Exertion ◽  
Soccer Players ◽  
Time Intervals ◽  
Professional Soccer ◽  
Global Positioning ◽  
External Training ◽  
Soccer Team

This study aimed to compare the training load of a professional under-19 soccer team (U-19) to that of an elite adult team (EAT), from the same club, during the in-season period. Thirty-nine healthy soccer players were involved (EAT [n = 20]; U-19 [n = 19]) in the study which spanned four weeks. Training load (TL) was monitored as external TL, using a global positioning system (GPS), and internal TL, using a rating of perceived exertion (RPE). TL data were recorded after each training session. During soccer matches, players’ RPEs were recorded. The internal TL was quantified daily by means of the session rating of perceived exertion (session-RPE) using Borg’s 0–10 scale. For GPS data, the selected running speed intensities (over 0.5 s time intervals) were 12–15.9 km/h; 16–19.9 km/h; 20–24.9 km/h; >25 km/h (sprint). Distances covered between 16 and 19.9 km/h, > 20 km/h and >25 km/h were significantly higher in U-19 compared to EAT over the course of the study (p =0.023, d = 0.243, small; p = 0.016, d = 0.298, small; and p = 0.001, d = 0.564, small, respectively). EAT players performed significantly fewer sprints per week compared to U-19 players (p = 0.002, d = 0.526, small). RPE was significantly higher in U-19 compared to EAT (p =0.001, d = 0.188, trivial). The external and internal measures of TL were significantly higher in the U-19 group compared to the EAT soccer players. In conclusion, the results obtained show that the training load is greater in U19 compared to EAT.

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