scholarly journals Quantifying the Activity Profile of Female Beach Volleyball Tournament Match-Play

2021 ◽  
pp. 142-148
Author(s):  
Phillip M. Bellinger ◽  
Timothy Newans ◽  
Mitchell Whalen ◽  
Clare Minahan
Keyword(s):  
Contextual Factors ◽  
Relative Distance ◽  
Physical Conditioning ◽  
Match Play ◽  
Point Score ◽  
Time Motion ◽  
Competition Level ◽  
Volleyball Players ◽  
Acceleration And Deceleration ◽  
Acceleration Zone

Effective time-motion analysis can provide information directly applicable to the design of physical conditioning and testing programmes. The aim of the present study was to determine the external output of female beach volleyball players during tournament match-play and to assess the effect of competition level, margin of score differential and alterations of external output within matches. The external output profile of ten adult level (age 27 ± 3 y) and ten under 23 (‘U23’; age 19 ± 2 y) female beach volleyball players were determined using GPS technology (10 Hz) during 60 matches (n = 50 first and second sets and 20 third sets files) played during their respective Australian Beach Volleyball Championship tournaments. Comparisons between groups and the influence of contextual factors on the external output within matches were analysed using linear mixed models. Adult beach volleyball players covered a greater relative distance (i.e., m·min-1) in speed zone 2 (1.0-1.99 m·s-1; 42.0% of total relative distance) and zone 3 (≥2.0 m·s-1; 10.9% of total relative distance) compared to U23 players. Relative distance, mean acceleration/deceleration and the relative distance covered in acceleration zone 2 and deceleration zone 2 and 3 was greater in set 1 compared to set 2. Sets that were decided by smaller score margins (<6-point score differential) were comprised of a greater relative distance, peak speed, greater mean acceleration and deceleration output and a greater relative distance in speed zone 1 and 3 compared to sets decided by larger score margins (>5-point score differential). The findings from this study suggest that there are contextual factors that influence the speed and acceleration/deceleration profile of female beach volleyball players such as tournament level, score margin and set-to-set variations that may have implications for the physiological and mechanical requirements of female players preparing for competition.

scholarly journals Acceleration-Based Running Intensities of Professional Rugby League Match Play

2016 ◽  
Vol 11 (6) ◽  
pp. 802-809 ◽  
Author(s):  
Jace A. Delaney ◽  
Grant M. Duthie ◽  
Heidi R. Thornton ◽  
Tannath J. Scott ◽  
David Gay ◽  
...  
Keyword(s):  
Moving Average ◽  
Rugby League ◽  
Relative Distance ◽  
Energetic Cost ◽  
Moving Averages ◽  
Match Play ◽  
Absolute Volume ◽  
Inference Network ◽  
Acceleration And Deceleration ◽  
Attack And Defense

Rugby league involves frequent periods of high-intensity running including acceleration and deceleration efforts, often occurring at low speeds.Purpose:To quantify the energetic cost of running and acceleration efforts during rugby league competition to aid in prescription and monitoring of training.Methods:Global positioning system (GPS) data were collected from 37 professional rugby league players across 2 seasons. Peak values for relative distance, average acceleration/deceleration, and metabolic power (Pmet) were calculated for 10 different moving-average durations (1–10 min) for each position. A mixed-effects model was used to assess the effect of position for each duration, and individual comparisons were made using a magnitude-based-inference network.Results:There were almost certainly large differences in relative distance and Pmet between the 10-min window and all moving averages <5 min in duration (ES = 1.21–1.88). Fullbacks, halves, and hookers covered greater relative distances than outside backs, edge forwards, and middle forwards for moving averages lasting 2–10 min. Acceleration/deceleration demands were greatest in hookers and halves compared with fullbacks, middle forwards, and outside backs. Pmet was greatest in hookers, halves, and fullbacks compared with middle forwards and outside backs.Conclusions:Competition running intensities varied by both position and moving-average duration. Hookers exhibited the greatest Pmet of all positions, due to high involvement in both attack and defense. Fullbacks also reached high Pmet, possibly due to a greater absolute volume of running. This study provides coaches with match data that can be used for the prescription and monitoring of specific training drills.

scholarly journals Assessment of the Multi-Location External Workload Profile in the Most Common Movements in Basketball

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3441
Author(s):  
Carlos D. Gómez-Carmona ◽  
Sebastián Feu ◽  
José Pino-Ortega ◽  
Sergio J. Ibáñez
Keyword(s):  
Lower Limb ◽  
Repeated Measures ◽  
Ad Hoc ◽  
Physical Conditioning ◽  
Lumbar Region ◽  
Basketball Players ◽  
Eta Squared ◽  
Subject Variability ◽  
Acceleration And Deceleration ◽  
Linear Movement

The present study analyzed the multi-location external workload profile in basketball players using a previously validated test battery and compared the demands among anatomical locations. A basketball team comprising 13 semi-professional male players was evaluated in five tests (abilities/skills/tests): (a) aerobic, linear movement, 30-15 IFT; (b) lactic anaerobic, acceleration and deceleration, 16.25 m RSA (c) alactic anaerobic, curvilinear movement, 6.75 m arc (d) elastic, jump, Abalakov test (e) physical-conditioning, small-sided game, 10’ 3 vs.3 10 × 15 m. PlayerLoadRT was evaluated at six anatomical locations simultaneously (interscapular line, lumbar region, knees and ankles) by six WIMU PROTM inertial devices attached to the player using an ad hoc integral suit. Statistical analysis was composed of an ANOVA of repeated measures and partial eta squared effect sizes. Significant differences among anatomical locations were found in all tests with higher values in the location nearer to ground contact (p < 0.01). However, differences between lower limb locations were only found in curvilinear movements, with a higher workload in the outside leg (p < 0.01). Additionally, high between-subject variability was found in team players, especially at lower limb locations. In conclusion, multi-location evaluation in sports movements will make it possible to establish an individual external workload profile and design specific strategies for training and injury prevention programs.

scholarly journals The Physical Characteristics of Specific Phases of Play During Rugby Union Match Play

2018 ◽  
Vol 13 (10) ◽  
pp. 1331-1336 ◽  
Author(s):  
Dale B. Read ◽  
Ben Jones ◽  
Sean Williams ◽  
Padraic J. Phibbs ◽  
Josh D. Darrall-Jones ◽  
...  
Keyword(s):  
Rugby Union ◽  
Physical Characteristics ◽  
Effect Sizes ◽  
Relative Distance ◽  
Linear Mixed Effects Model ◽  
Match Play ◽  
Linear Mixed Effects ◽  
Video Footage ◽  
Dependent Variables ◽  
Attack And Defense

Purpose: To quantify the frequencies and timings of rugby union match-play phases (ie, attacking, defending, ball in play [BIP], and ball out of play [BOP]) and then compare the physical characteristics of attacking, defending, and BOP between forwards and backs. Methods: Data were analyzed from 59 male rugby union academy players (259 observations). Each player wore a microtechnology device (OptimEye S5; Catapult, Melbourne, Australia) with video footage analyzed for phase timings and frequencies. Dependent variables were analyzed using a linear mixed-effects model and assessed with magnitude-based inferences and Cohen d effect sizes (ES). Results: Attack, defense, BIP, and BOP times were 12.7 (3.1), 14.7 (2.5), 27.4 (2.9), and 47.4 (4.1) min, respectively. Mean attack (26 [17] s), defense (26 [18] s), and BIP (33 [24] s) phases were shorter than BOP phases (59 [33] s). The relative distance in attacking phases was similar (112.2 [48.4] vs 114.6 [52.3] m·min−1, ES = 0.00 ± 0.23) between forwards and backs but greater in forwards (114.5 [52.7] vs 109.0 [54.8] m·min−1, ES = 0.32 ± 0.23) during defense and greater in backs during BOP (ES = −0.66 ± 0.23). Conclusions: Total time in attack, defense, and therefore BIP was less than BOP. Relative distance was greater in forwards during defense, whereas it was greater in backs during BOP and similar between positions during attack. Players should be exposed to training intensities from in-play phases (ie, attack and defense) rather than whole-match data and practice technical skills during these intensities.

scholarly journals Training load and match-play demands in basketball based on competition level: A systematic review

PLoS ONE ◽  
2020 ◽  
Vol 15 (3) ◽  
pp. e0229212 ◽  
Author(s):  
Adam J. Petway ◽  
Tomás T. Freitas ◽  
Julio Calleja-González ◽  
Daniel Medina Leal ◽  
Pedro E. Alcaraz
Keyword(s):  
Systematic Review ◽  
Training Load ◽  
Match Play ◽  
Competition Level

Activity Profiles and Positional Differences of Handball Players During the World Championships in Qatar 2015

2017 ◽  
Vol 12 (7) ◽  
pp. 908-915 ◽  
Author(s):  
Marco Cardinale ◽  
Rodney Whiteley ◽  
Ahmed Abdelrahman Hosny ◽  
Nebojsa Popovic
Keyword(s):  
Physical Conditioning ◽  
Limited Data ◽  
Camera System ◽  
Time Motion ◽  
Cumulative Distance ◽  
Significant Difference ◽  
The World ◽  
Playing Time ◽  
Motion Characteristics ◽  
Olympic Sport

Context:Handball is an Olympic sport played indoors by 6 court players and 1 goalkeeper with rolling substitutions. Limited data exist on elite players competing in a world championship, and virtually no information exists on the evolution of time–motion performance over the course of a long tournament.Purpose:To analyze time–motion characteristics of elite male handball players of the last world championships, played in Qatar in 2015.Participants:384 handball players from 24 national teams.Methods:The athletes were analyzed during 88 matches using a tracking camera system and bespoke software (Prozone Handball v. 1.2, Prozone, Leeds, UK).Results:The average time on court (N = 2505) during the world championships for all players was 36:48 ± 20:27 min. Goalkeepers and left and right wings were on court most of the playing time (GK 43.00 ± 25:59 min; LW 42:02 ± 21:07 min; RW 43:44 ± 21:37 min). The total distance covered during each game (2607.5 ± 1438.4 m) consisted mostly of walking and jogging. The cumulative distance covered during the tournament was 16,313 ± 9423.3 m. Players performed 857.2 ± 445.7 activity changes with a recovery time of 124.3 ± 143 s. The average running pace was 78.2 ± 10.8 m/min. There was no significant difference between high-ranked and lower-ranked teams in terms of distance covered in different locomotion categories.Conclusions:Specific physical conditioning is necessary to maximize performance of handball players and minimize the occurrence of fatigue when performing in long tournaments.

A time–motion analysis of professional rugby league match-play

2009 ◽  
Vol 27 (3) ◽  
pp. 213-219 ◽  
Author(s):  
Trish King ◽  
David Jenkins ◽  
Tim Gabbett
Keyword(s):  
Motion Analysis ◽  
Rugby League ◽  
Match Play ◽  
Time Motion

scholarly journals Officiating Role Influences the Physical Match Activity Profiles of Rugby League Touch Judges and Referees

2017 ◽  
Vol 58 (1) ◽  
pp. 225-231 ◽  
Author(s):  
Leesa Pearce ◽  
Carl Woods ◽  
Wade Sinclair ◽  
Anthony Leicht
Keyword(s):  
Performance Indicators ◽  
Maximum Velocity ◽  
Rugby League ◽  
Relative Distance ◽  
Walking Distance ◽  
Match Play ◽  
Total Distance ◽  
Main Effect ◽  
Univariate Analyses

Abstract This study investigated the effect of the officiating role on physical activity profiles of rugby league match officials during match-play. Physical performance indicators were collated from 23 match officials, resulting in 78 observations. Match officials were categorised into two groups: referees and touch judges. Microtechnology facilitated the quantification of total distance (m), relative distance (m⋅min-1), maximum velocity (m⋅s-1), the percentage of high intensity running distance (% total > 3.01 m⋅s-1), walking distance (<1 m⋅s-1), jogging distance (1.01 – 3 m⋅s-1), fast jogging distance (3.01 - 5 m⋅s-1), and sprinting distance (>5 m⋅s-1). Multivariate analysis modelled the main effect of the officiating role with follow up univariate analyses identifying significant differences. A significant effect was noted (V = 750; F(8, 66) = 24.71; p < 0.05) with referees covering a greater total distance (7767 ± 585 vs. 7022 ± 759 m), relative distance (90 ± 6 vs. 82 ± 8 m⋅min-1), jogging distance (3772 ± 752 vs. 3110 ± 553 m), and fast jogging distance (2565 ± 631 vs. 1816 ± 440 m) compared to touch judges. Touch judges covered greater distances while sprinting (1012 ± 385 vs. 654 ± 241 m). Results provide important guidance in the development of training programs for match officials.

Player Activity Profiles in the Australian Second-Tier Rugby League Competitions

2016 ◽  
Vol 11 (6) ◽  
pp. 816-823
Author(s):  
Joanne Hausler ◽  
Mark Halaki ◽  
Rhonda Orr
Keyword(s):  
High Speed ◽  
New South ◽  
Rugby League ◽  
Relative Distance ◽  
Match Play ◽  
South Wales ◽  
Global Positioning ◽  
Second Tier ◽  
Sprinting Speed ◽  
Very High

Purpose:To investigate activity profiles of Australian rugby league players during match play by competition, position, and match outcome in the New South Wales (NSW) second-tier competitions.Methods:Eighteen NSW Cup (NSWC) and 22 National Youth Competition (NYC) players, participating in this prospective cohort study, were categorized into 3 positional groups: forwards, adjustables, and outside backs. Global positioning system devices were used to examine activity profiles (distance and relative distance covered in walking, jogging, moderate, high, very high, and sprinting speed zones and quantification of high-speed movement) during match play in 21 NSWC and 22 NYC matches (N = 339 files).Results:NSWC players performed more sprints (36.5 ± 9.3 vs 28.4 ± 9.2) and greater relative distance in moderate speed zones (18.4 ± 3.2 vs 15.8 ± 3.1 m/min) than NYC. NSWC outside backs covered greater relative distance in jogging (29.4 ± 2.9 vs 24.8 ± 2.7 m/min) and moderate speed zones (17.0 ± 2.6 vs 12.8 ± 2.8 m/min) than their NYC counterparts. Adjustables performed more sprints (39.4 ± 10.1 vs 27.0 ± 9.2), high-intensity accelerations (3.7 ± 1.4 vs 1.9 ± 1.4), and relative distance (84.8 ± 4.3 vs 88.6 ± 4.8 m/min) than forwards and greater relative distance (81.5 ± 3.8 m/min) and sprints (31.0 ± 8.0) than outside backs. Adjustables recorded greater relative distance (19.8 m/min) in moderate speed zones than forwards (16.7 ± 3.1 m/min) and outside backs (14.9 ± 2.7 m/min). Adjustables covered ~685 m more than outside backs during a win.Conclusions:This is the first study to document the activity profiles of the NSW second-tier rugby league competition. The findings underscore the elevated match demands of adjustables and indicate higher intensity of play in NSWC than NYC that may more closely resemble the demands of National Rugby League match play.

scholarly journals Time-motion analysis and effort-pause relationship in taekwondo combats: a comparison of competitive levels

2016 ◽  
Vol 18 (6) ◽  
pp. 648 ◽  
Author(s):  
Fabrício Boscolo Del Vecchio ◽  
Bruno Antunez ◽  
Charles Bartel
Keyword(s):  
Temporal Structure ◽  
State Level ◽  
The State ◽  
Significance Level ◽  
Time Motion ◽  
Competition Level ◽  
Post Hoc ◽  
Relationship Of ◽  
The Relationship ◽  
Non Parametric

DOI: http://dx.doi.org/10.5007/1980-0037.2016v18n6p648 To improve the combat sports training processes, the knowledge of effort:pause (E:P) ratio and of the high intensity:low intensity (HI:LI) relationship may be useful. However, no studies have investigated these aspects in taekwondo (TKD) official matches from different levels. The aim of this study was to analyze and compare the temporal structure of TKD combat matches at regional and state-level events. Thirty-four combat matches involving male TKD black belt athletes were analyzed. The athletes took part in two separate championships according to their level of competitiveness. Non-parametric distributions were identified in all variables, and the median was used as centrality and the interquartile range (25%-75%) for dispersion. The analysis of non-parametric variance, Kruskal-Wallis, with Dunn post-hoc, was used for comparisons between variables within the same competitive level and Mann-Whitney test between them. The significance level was 5%. On both levels, approximately 50% of combat time (51.3% and 50.8% in state and regional, respectively) was aimed at low-intensity activities in an observation mode; 12% of the time was devoted to preparation actions; and 36% represented high-intensity activity. It was also noted that the relationship of E:P at the state level was 1:8; at the regional level, it was 1:4. The relationship of HI:LI was 1:3 in the state and regional levels. It was observed that there is a difference in the E:P relationship during TKD competitions among different competitive levels. These findings can assist coaches and trainers in developing suitable, specific training processes according to TKD competition level. 

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