The acceleration and deceleration profiles of elite female soccer players during competitive matches

Mara, Jocelyn K; Thompson, Kevin G.; Pumpa, Kate; Morgan, Stuart

doi:10.1016/j.jsams.2016.12.078

Cited by 57 publications

(73 citation statements)

References 11 publications

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“…Conversely, in football, where the size of the pitch is much greater, the players experience a different relationship between the total ACC and DEC. Akenhead, Harley, and Tweddle (2016) found that the total distance covered in accelerations in male football training was 1,826 m, as compared to 1,598 m covered in decelerations, while Mara, Thompson, Pumpa, and Morgan (2017) studied female matches and found a total of 423 accelerations and 430 decelerations. These results could be explained by the smaller size of the basketball court and, like in small-sided football games , the players need to constantly decelerate and change direction, especially when anticipating and reacting to the actions of the opposing team during live games.…”

Section: Discussionmentioning

confidence: 99%

Load monitoring system in top-level basketball team

Svilar

Castellano

Jukić

2018

Kinesiology (Zagreb, Online)

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Abstract:The study aimed to describe and compare the external training load, monitored using microtechnology, with the internal training load, expressed as the session rating of perceived exertion (sRPE), in elite male basketball training sessions. Thirteen professional basketball players participated in this study (age=25.7±3.3 years; body height=199.2±10.7 cm; body mass=96.6±9.4 kg). All players belonged to the same team, competing in two leagues, ACB and the Euroleague, in the 2016/2017 season. The variables assessed within the external motion analysis included: player load (PL), acceleration and deceleration (ACC/DEC), jumps (JUMP), and changes of direction (CoD). The internal demands were registered using the sRPE method. Pearson productmoment correlations were used to determine relationships between the variables. A significant correlation was observed between the external load variables and sRPE (range r=0.71-0.93). Additionally, the sRPE variable showed a high correlation with the total PL, ACC, DEC, and CoD. The contrary was observed with respect to the relationship between sRPE and JUMP variables: the correlation was higher for the high band and lower for the total number of jumps. With respect to the external load variables, a stronger correlation was found between PL and the total number of ACC, DEC and CoD than the same variables within the high band. The only contrary finding was the correlation between PL and JUMP variables, which showed a stronger correlation for hJUMP. Tri-axial accelerometry technology and the sRPE method serve as valuable tools for monitoring the training load in basketball. Even though the two methods exhibit a strong correlation, some variation exists, likely due to frequent static movements (i.e., isometric muscle contractions) that accelerometers are not able to detect. Finally, it is suggested that both methods are to be used complementary, when possible, in order to design and control the training process as effectively as possible.

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Section: Discussionmentioning

confidence: 99%

Load monitoring system in top-level basketball team

Svilar

Castellano

Jukić

2018

Kinesiology (Zagreb, Online)

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“…Similarly, values between + 1.0 and + 2.0 m • s − 2 were deemed a moderate acceleration (ACC M ) and values greater than + 2.0 m • s − 2 were deemed a high acceleration (ACC H ). These thresholds were chosen because they have been defined as moderate intensity in previous research [1,18,21], thus allowing a comparison between studies. The minimum effort duration was set at 0.5 s.…”

Section: Methodsmentioning

confidence: 99%

Modelling the Acceleration and Deceleration Profile of Elite-level Soccer Players

Newans

Bellinger

Dodd³

et al. 2019

Int J Sports Med

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The ability to change velocity rapidly is a key element of field-based sports. This study quantified the acceleration and deceleration profiles of soccer players during match play. Global positioning system measures were collected from 20 male soccer players competing in the Australian Hyundai A-League during 58 matches. Match data were organized into ten 9 min periods (i. e., P1: 0–9 min) and the time spent at moderate (1–2 m·s−2) and high (>2 m·s−2) acceleration and deceleration thresholds were quantified. Additionally, a novel deceleration: acceleration ratio was quantified to identify the transient nature of deceleration activity. Linear mixed models were used to model the acceleration and deceleration profiles. All acceleration and deceleration metrics displayed negative logarithmic curves within each half. There was no change in the ratio of high deceleration: acceleration; however, a significant increase in the ratio of moderate deceleration:acceleration was evident. Using negative logarithmic curves to illustrate the acceleration and deceleration decay provides a novel methodological approach to quantify the high-intensity actions during match play. A decrease in the time spent decelerating throughout a match may be attributed to a lack of opportunity. Practitioners can use the coefficients, intercepts, and deceleration: acceleration ratios to monitor a player’s deceleration profile in match play.

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“…In these team sports, running requires changes in velocity through acceleration and deceleration [5]. In fact, during a game, the ability to rapidly change velocity and direction is a key factor for the outcome of many technical actions [6], such as regaining the ball after a loss of possession and evading opposition tackles [7]. Indeed, according to the agility’s deterministic model proposed by Sheppard and Young [8], the player is required to suddenly adapt his own movement to that of his opponent and the current situation.…”

Section: Introductionmentioning

confidence: 99%

“…During a soccer match, the number of accelerations and decelerations and the mean and maximum distance covered during these actions vary according to the intensity of the movements. Mara et al, [7] in a study on elite female soccer showed as players performed a mean of 430 decelerations per match, with differences in intensity according to their position and time period of the match. In this study, both mean and maximum time of interval between two consecutive decelerations was lowest during the first 15 minutes of play compared to all the other 15-minute periods, and this may be attributed to a combination of factors including physical and mental fatigue, game specific factors or strategies [7].…”

Section: Introductionmentioning

confidence: 99%

“…Mara et al, [7] in a study on elite female soccer showed as players performed a mean of 430 decelerations per match, with differences in intensity according to their position and time period of the match. In this study, both mean and maximum time of interval between two consecutive decelerations was lowest during the first 15 minutes of play compared to all the other 15-minute periods, and this may be attributed to a combination of factors including physical and mental fatigue, game specific factors or strategies [7]. Furthermore, Dalen et al [9] also demonstrated that decelerations contributed to 5 – 7 % of the total player load during a match, and not considering their energy cost could lead to an underestimation of the player’s match total load [10].…”

Section: Introductionmentioning

confidence: 99%

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