2021
DOI: 10.3389/fpsyg.2021.625126
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Positional Differences in the Most Demanding Scenarios of External Load Variables in Elite Futsal Matches

Abstract: The aims of this study were to analyze the peak physical demands in elite futsal by quantifying the most demanding scenarios of match play and to identify the differences between playing positions (defenders, wingers, and pivots) and the seasonal trend for five different rolling average time windows (30, 60, 120, 180, and 300 s). The most demanding scenarios of external load from distance, speed, acceleration, and deceleration variables were obtained from 14 elite futsal players using a local positioning syste… Show more

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Cited by 19 publications
(38 citation statements)
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References 34 publications
(54 reference statements)
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“…Additionally, the low number of players (i.e., 4 field players plus a goalkeeper) and the reduced available space for play (i.e., 40 × 20 m) demands that elite futsal players must possess a combination of excellent physical, technical and tactical skills [2]. From a physical point of view, futsal performance has been associated with high-levels of agility [3], muscle power [3][4][5], repeated sprint ability [6,7] and maximal . kg -1. min -1 ; [8]).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Additionally, the low number of players (i.e., 4 field players plus a goalkeeper) and the reduced available space for play (i.e., 40 × 20 m) demands that elite futsal players must possess a combination of excellent physical, technical and tactical skills [2]. From a physical point of view, futsal performance has been associated with high-levels of agility [3], muscle power [3][4][5], repeated sprint ability [6,7] and maximal . kg -1. min -1 ; [8]).…”
Section: Introductionmentioning
confidence: 99%
“…Because futsal is characterised by intermittent and explosive demands, strategies to enhance the capacity for repeating high-intensity actions may be crucial for competition [6,7]. Caffeine (1,3,7-trimethylxanthine) is an ergogenic aid with recognised effectiveness to increase performance in team sports with comparable physical demands to futsal such as football [9,10], basketball [11], handball [12], volleyball [13,14] and hockey [15].…”
Section: Introductionmentioning
confidence: 99%
“…To confirm whether each athlete preferred to play using their left- or right-foot, we also checked information about them from another public repository of their anthropometric characteristics ( www.playmakerstats.com/ ). Finally, players were also sub-grouped according to the positional role as a defender ( N = 27), winger ( N = 36), or pivot ( N = 13) (Illa et al, 2021 ) and based on the final classification of the opponent team (i.e., ranking). To compute this later index, we applied the K-means cluster analysis (Gómez et al, 2011 , 2015a ; Aquino et al, 2017a ) to the cumulative sum of points earned by each team across the matches.…”
Section: Methodsmentioning
confidence: 99%
“…Regarding the quantification of the match demands, different methods (i.e., "average approach" or "worst-case scenarios" [WCS] methods) have been used to measure and analyze the mechanical stress that players are exposed to during the match. The WCS approach relates to the quantification of the most intense period of the game or training [11] and is becoming increasingly popular in team-sports, such as soccer [9,10], rugby [11], Australian football [12], futsal [13], and field-and ice-hockey [14,15], to assess fluctuations in matchdemands by dividing time-play into discrete "epochs". The WCS may be considered more accurate to quantify the most intense periods of the game, because the "average approach" may overlook variations and obscure the most intense periods of the play [16].…”
Section: Introductionmentioning
confidence: 99%
“…Depending on the availability of wearable technology (i.e., GPS vs accelerometry) and sport (i.e., indoor vs outdoor), player load (PL), player load per minute (PL•min -1 ), total distance, and high-speed running have been the most commonly investigated variables with timewindows ranging from 30-s to 10-min in length [9][10][11][12][13][14]. Within the WCS approach, the fixedperiod method (FIX) was first developed [17], and consisted of splitting the time into fixedperiods (e.g., 1-30-s, 31-60-s, etc.).…”
Section: Introductionmentioning
confidence: 99%