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dc.contributor.advisorCoetzee, B
dc.contributor.authorAbdullahi, Yahaya
dc.date.accessioned2018-07-19T12:50:32Z
dc.date.available2018-07-19T12:50:32Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/10394/28590
dc.descriptionPhD (Human Movement Science), North-West University, Potchefstroom Campus, 2018en_US
dc.description.abstractTo date, researchers have made no attempt to investigate the notational singles match analyses results nor the relationships between last-mentioned results of African badminton players. Furthermore, up until now, no researchers have investigated the possible link between global positioning system (GPS) determined match characteristics of badminton players and match performance, nor the possible relationships between match-analysis results of external and internal match-load-determining methods in badminton players. It is in the light of this background that the objectives of this study were as follows: firstly, to determine the notational singles match-analysis results of male badminton players who participated in the African Badminton Championships; secondly, to determine the relationships between notational singles match-analysis determined strokes and foot movements in male badminton players that participated in the African Badminton Championships; thirdly, to establish the GPS-determined singles match characteristics that act as predictors of successful and less successful male singles badminton players’ group classification; and lastly, to determine relationships between results of an internal and external match-load-determining method in male singles badminton players. To achieve the first two objectives of the study, twenty matches of twelve male singles players (age: 24.4 ± 4.6 years) that participated in the team and individual events of the All Africa Senior Badminton Championships of 2014 were recorded live via video cameras, and analysed using the Dartfish Video Analysis Software Package. For the third objective of the study, 46 matches of twenty-two players (age: 23.39 ± 3.92 years; body stature: 177.11 ± 3.06 cm; body mass: 83.46 ± 14.59 kg) were analysed via GPS units (MinimaxX V4.0, Catapult Innovations, Victoria, Australia), Fixed Polar HR Transmitter Belts (Polar Electro, Kempele, Finland) and digital video cameras. Players that reached the quarter finals, semi-finals or finals of the five tournaments during the 2014/2015 season were categorised as successful players whereas the rest of the players were categorised as less successful players. For the last objective of the study, 45 matches of twenty-one male singles badminton players (age: 23.2 ± 3.6 years; body stature: 176.1 ± 3.4 cm; body mass: 79.6 ± 12.3 kg) were analysed via GPS units, Fixed Polar HR Transmitter Belts and digital video cameras. For the first objective of the study, computerised-notational analysis revealed that male badminton players that participated in the African Badminton Championships were active for 29.8% of the total match time, which relates to 1470.4 s and spent 17.3 s on average on rest in-between rallies; they performed 68.4 rallies per match at an average duration of 5.6 s, during which a stroke was performed every 1.03 sec; the real time played was 432.9 s, which relates to a work density of 0.43; they executed the drive (122.1) and clear strokes (118.0) the most times during a match and performed the shuffle (161.7) and chasse-step (174.6) foot movements the most frequently during match-play. For the second objective of the study, Spearman Rank Correlation Coefficients revealed that the net (4) and smash (4) followed by the clear shots (3) showed the highest number of significant relationships with foot movements. On the other hand, split steps (3), chasse steps (2), backward lunges (2) and lunges to the right (2) displayed the highest number of significant relationships with strokes. For the third objective of the study, an independent t-test revealed that high-intensity accelerations per second was identified as the only GPS-determined variable that showed a significant difference between groups. Furthermore, the forward stepwise logistic regression analysis results of the cluster analysis’ reduced GPS variables showed that only high-intensity accelerations per second and low-intensity efforts per second were identified as significant predictors (p < 0.05) of group allocation with 76.88% of players that could be classified into their original groups by applying the GPS-based logistic regression formula. Lastly, the Receiver Operating Characteristic Curve (ROC) revealed that the classification model valid (0.87) for classifying players into successful and less successful player groups. For the fourth objective of the study, Spearman’s Rank Correlation indicated that only the following GPS-derived measures of external match-load obtained significant relationships (p < 0.05) with heart rate- (HR) related measures: absolute distance covered (r = 0.42), time spent (r = 0.44) and player load (PL) in the high-intensity (HI) zone (r = 0.44) as well as absolute (r = 0.43) and relative match duration in the low-intensity (LI) zone (r = 0.38). Furthermore, the duration of activities, which can be used as an external match-load measure, was more related to measures of internal match-loads than any of the other external match-load-related parameters (distance covered or PL). On the whole, the study showed that computerised-notational analysis is a reliable method for determining the singles match characteristics of male badminton players. However, shortcomings with regard to applying only one method for determining the match profiles of players accentuated the need to quantify both internal and external match-load measures and assess relationships between them. Consequently, findings of this study indicated that results of an internal and external badminton match-load-determining method are more related to each other in the HI zone than in other zones and that the strength of relationships depended on the duration of activities performed in especially LI and HI zones. Nevertheless, results of an external badminton match-load-determining method suggested that a typical conditioning programme for badminton players should develop drills and activities that take place for durations of 5.57 s at a time at a work:rest ratio of 1:3 for a total duration of 3-5 minutes after which a break of 2 minutes must be allowed before continuing with another set for 3-5 minutes. The intensity of activities must be quite high (maintained at a work density of more or less 0.4) and incorporate especially chasse-steps, shuffle-steps, split-steps, half- and forward lunges as well as the drive, clear, serve, smash and net strokes as these strokes are performed most during match-play. The identification of high-intensity accelerations per sec and low-intensity efforts per sec for the attainment of badminton performances also emphasized the importance of using badminton specific drills and conditioning techniques to not only improve players’ physical fitness levels but also their abilities to accelerate at high intensitiesen_US
dc.description.sponsorshipTertiary Education Trust Fund (TETFund)en_US
dc.language.isoenen_US
dc.publisherNorth-West University (South Africa), Potchefstroom Campusen_US
dc.subjectBadmintonen_US
dc.subjectFoot movementsen_US
dc.subjectNotational analysisen_US
dc.subjectStrokesen_US
dc.subjectGlobal positioning systemen_US
dc.subjectMatch-analysisen_US
dc.subjectHeart rateen_US
dc.titleSingles match analysis characteristics and work loads associated with success in male badminton playersen_US
dc.typeThesisen_US
dc.description.thesistypeDoctoralen_US


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