The most demanding passages of play in football competition:
a comparison between halves

Casamichana, David; Castellano, Julen; Díaz, Antonio Gómez; Gabbett, Tim J.; Martín-García, Andrés

doi:10.5114/biolsport.2019.86005

Cited by 40 publications

(43 citation statements)

References 40 publications

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“…In particular, Vázquez-Guerrero et al (2019) showed that basketball players averaged 1.8 and 1.5 high-intensity accelerations and decelerations and covered a relative distance of 72.6 m min −1 . A similar trend has been observed in previous studies conducted in other sports, such as associated football (Abbott et al, 2018;Delaney et al, 2018;Martín-García et al, 2018;Casamichana et al, 2019), rugby (Delaney et al, 2016;Cunningham et al, 2018), Gaelic football (Malone et al, 2017), and Australian football (Delaney et al, 2017).…”

Section: Discussionsupporting

confidence: 89%

“…While some studies have determined the most demanding scenarios in physical demands during competition in intermittent team sports such as association football (Abbott et al, 2018;Delaney et al, 2018;Martín-García et al, 2018;Casamichana et al, 2019), rugby (Delaney et al, 2016;Cunningham et al, 2018), Gaelic football (Malone et al, 2017), and Australian football (Delaney et al, 2017) through different time average rolling durations, no studies are available that quantify physical demands during match play in basketball using this approach. A plethora of studies have examined the average (mainly per minute) and absolute physical demands of match play in basketball reporting that players usually cover 5-6 km at an average speed of 70-90 m min −1 and perform a total of 40-50 jumps (Stojanović et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

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The Most Demanding Scenarios of Play in Basketball Competition From Elite Under-18 Teams

et al. 2020

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The main purpose of this study was to describe the most demanding scenarios of match play in basketball through a number of physical demand measures (high-intensity accelerations and decelerations, relative distance covered, and relative distance covered in established speed zones) for four different rolling average time epochs (30, 60, 180, and 300 s) during an official international tournament. A secondary purpose was to identify whether there were significant differences in physical demand measures among playing positions (centers, guards, and forwards) and levels (two best classified teams in the tournament and remaining teams), match scoring (winning, losing, and drawing), and playing periods (match quarter) at the moment of the most demanding scenarios. Data were collected from 94 male under 18 (U18) elite basketball players (age: 17.4 ± 0.7 years; stature: 199.0 ± 11.9 cm; body mass: 87.1 ± 13.1 kg) competing in a Euroleague Basketball Tournament. Measures were compared via a Bayesian inference analysis. The results revealed the presence of position-related differences [Bayesian factor (BF) > 10 (at least strong evidence) and standardized effect size (δ) > 0.6 (at least moderate)] so that centers covered a lower relative distance at speed zone 1 and had lower high-intensity accelerations and decelerations than guards. However, the Bayesian analysis did not demonstrate the existence of significant differences in any physical demand measure in relation to the playing level, match scoring, and playing periods at the moment of the most demanding scenarios. Therefore, this study provides coaches and strength and conditioning specialists with a most demanding scenario reference on physical demands that can be used as an upper limit threshold in the training and rehabilitation monitoring processes.

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Section: Discussionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

The Most Demanding Scenarios of Play in Basketball Competition From Elite Under-18 Teams

et al. 2020

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“…After that, we exported the data to a custom-built Microsoft Excel spreadsheet for further analysis; lastly, we analyzed different intervals using rolling averages (ROLL). This procedure is more accurate in determining the most intense periods than the FIXED method [16] and has been previously used in different sports such as rugby union [7,20,31], soccer [23,24] and Australian football [21]. Rolling series were stopped at the end of each quarter.…”

Section: Methodsmentioning

confidence: 99%

“…Recent studies suggest that rolling average (ROLL) is more accurate than the FIXED method [20,21]. "Most demanding periods", "most demanding passages", "most intense periods" and "worst case scenario (WCS)" tend to be the most common terms that researchers use to refer to the peak match demands [20][21][22][23][24][25][26][27][28]. This topic has been previously investigated in other sports such as rugby league [29], rugby union [22,26,30,31], soccer [23,25,[32][33][34], mixed martial arts [27] or Australian football [21], but to our knowledge, few studies have reported information about WCS in basketball [28].…”

Section: Introductionmentioning

confidence: 99%

Peak Match Demands in Young Basketball Players: Approach and Applications

Alonso

Miranda

Zhang

et al. 2020

IJERPH

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Background: The aim of this study is to describe the peak match demands and compare them with average demands in basketball players, from an external load point of view, using different time windows. Another objective is to determine whether there are differences between positions and to provide an approach for practical applications. Methods: During this observational study, each player wore a micro technology device. We collected data from 12 male basketball players (mean ± SD: age 17.56 ± 0.67 years, height 196.17 ± 6.71 cm, body mass 90.83 ± 11.16 kg) during eight games. We analyzed intervals for different time windows using rolling averages (ROLL) to determine the peak match demands for Player Load. A separate one-way analysis of variance (ANOVA) was used to identify statistically significant differences between playing positions across different intense periods. Results: Separate one-way ANOVAs revealed statistically significant differences between 1 min, 5 min, 10 min, and full game periods for Player Load, F (3,168) = 231.80, ηp2 = 0.76, large, p < 0.001. It is worth noting that guards produced a statistically significantly higher Player Load in 5 min (p < 0.01, ηp2 = −0.69, moderate), 10 min (p < 0.001, ηp2 = −0.90, moderate), and full game (p < 0.001, ηp2 = −0.96, moderate) periods than forwards. Conclusions: The main finding is that there are significant differences between the most intense moments of a game and the average demands. This means that understanding game demands using averages drastically underestimates the peak demands of the game. This approach helps coaches and fitness coaches to prepare athletes for the most demanding periods of the game and present potential practical applications that could be implemented during training and rehabilitation sessions.

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“…According to the literature, everything points to the fact that even though the total running distance may be lower in the second half compared to the first, there may not be any differences in the distances covered in the high-intensity categories of striding, sprinting and maximal running [ 22 ]. To date, only one study has used the rolling method to compare activity between the two halves bearing in mind the MDP in competition [ 26 ]. In line with that paper, the results of this study show that the differences increased as the length of the period studied increased.…”

Section: Discussionmentioning

confidence: 99%

Most running demand passages of match play in youth soccer congestion period

Castellano

Martín-García

Casamichana

2020

Self Cite

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The objective of this study was to determine whether there is a decrease in the physical performance of the players in the most demanding passages (MDP) during periods of competition congestion. The study involved 15 under-19 players, belonging to a club in Spain’s first division (age: 18.1 ± 0.8 years, weight: 70.2 ± 4.9 kg and height: 1.78 ± 0.06 m), who were monitored during 23 national and international official matches in the 2018/19 season. The Youth League matches were played between two matches in the national championship in six different weeks. The league matches corresponded to the first 17 matches of the league championship, the period in which the 6 matches in the Youth League were played. The two physical variables analysed were total distance (TD) and distance at > 21 km·h -1 (TD21). Using the rolling average, four time windows were taken (1, 3, 5 and 10 min), and the values were relativized to the minute (m·min -1 ). The main results were that: there were more MDP in the first halves than in the second halves of all the time windows; 2) the central match in the week (Youth League) was the most demanding one; and 3) the players maintained the TD and TD21 in the MDP in the third match compared to the first. The results of this study could provide trainers with information on the need to design training tasks that simulate the demands of competition in relation to the TD and the TD21 according to different time windows.

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The most demanding passages of play in football competition: a comparison between halves

Cited by 40 publications

References 40 publications

The Most Demanding Scenarios of Play in Basketball Competition From Elite Under-18 Teams

The Most Demanding Scenarios of Play in Basketball Competition From Elite Under-18 Teams

Peak Match Demands in Young Basketball Players: Approach and Applications

Most running demand passages of match play in youth soccer congestion period

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