Motor behaviour through traditional games

Pic, Miguel; Burgués, Pere Lavega; March-Llanes, Jaume

doi:10.1080/03055698.2018.1516630

Cited by 37 publications

(36 citation statements)

References 23 publications

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“…Next, in this study no data were collected about psycho-physiological responses of the players (e.g., heart rate and RPE), which are known to be important determinants of overall performance. Further, this study actually studied relatively simple “game-related outcomes” (i.e., running performances obtained by GPS and game performance indicators obtained by InStat index), while sport-performances, especially those in team sports, are far more complex (i.e., include interaction, cooperation, and opposition) [46]. Also, in this study relatively simple methodology was applied, while complex systems like sport games may ask for more detailed experimental approaches and the use of mixed methods as an observational methodology [47].…”

Section: Discussionmentioning

confidence: 99%

Analysis of the Association between Running Performance and Game Performance Indicators in Professional Soccer Players

Modrić

Veršić

Sekulić

et al. 2019

IJERPH

102

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Running performance (RP) and game performance indicators (GPI) are important determinants of success in soccer (football), but there is an evident lack of knowledge about the possible associations between RP and GPI. This study aimed to identify associations between RP and GPI in professional soccer players and to compare RP and GPI among soccer playing positions. One hundred one match performances were observed over the course of half of a season at the highest level of national competition in Croatia. Players (mean ± SD, age: 23.85 ± 2.88 years; body height: 183.05 ± 8.88 cm; body mass: 78.69 ± 7.17 kg) were classified into five playing positions (central defenders (n = 26), full-backs (n = 24), central midfielders (n = 33), wide midfielders (n = 10), and forwards (n = 8). RP, as measured by global positioning system, included the total distance covered, distance covered in five speed categories (walking, jogging, running, high-speed running, and maximal sprinting), total number of accelerations, number of high-intensity accelerations, total number of decelerations, and number of high-intensity decelerations. The GPI were collected by the position-specific performance statistics index (InStat index). The average total distance was 10,298.4 ± 928.7 m, with central defenders having the shortest and central midfielders having the greatest covered distances. The running (r = 0.419, p = 0.03) and high-intensity accelerations (r = 0.493, p = 0.01) were correlated with the InStat index for central defenders. The number of decelerations of full-backs (r = −0.43, p = 0.04) and the distance covered during sprinting of forwards (r = 0.80, p = 0.02) were associated with their GPI obtained by InStat index. The specific correlations between RP and GPI should be considered during the conditioning process in soccer. The soccer training should follow the specific requirements of the playing positions established herein, which will allow players to meet the game demands and to perform successfully.

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Section: Discussionmentioning

confidence: 99%

Analysis of the Association between Running Performance and Game Performance Indicators in Professional Soccer Players

Modrić

Veršić

Sekulić

et al. 2019

IJERPH

102

View full text Add to dashboard Cite

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“…To determine the interaction between the variables, the multivariate QUEST classification technique (Quick, Unbiased, Efficient, Statistical Tree) was used. This was a fast-running binary procedure compared to other models already used in TSGs (Pic et al, 2019) to execute the ramifications. The tree used was due to a supervised learning algorithm, used in artificial intelligence to know the predictive capacity of the model when analyzing the performance of both teams.…”

Section: Phase 3: Preparation Of Two Databases For Analysismentioning

confidence: 99%

Enhancing Multimodal Learning Through Traditional Sporting Games: Marro360°

et al. 2020

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“…As suggested in the literature, there is an interspecific transfer between traditional games and team sports ( Dugas, 2005 ). By being confronted with motivating, complex and varied communication structures (asymmetry and/or imbalance and/or ambivalence and/or instability), players develop their adaptability ( Parlebas, 1999 ; Lavega et al, 2014 ; Pic et al, 2019 ). From the point of view of the experts asked to evaluate their performance, they more often surprise their opponents with their motor decisions and ultimately show more motor creativity ( Oboeuf et al, 2019 ).…”

Section: Discussionmentioning

confidence: 99%

“…Creativity is therefore dependent on the context, i.e., the structure of communications to which players are subjected by the rules of the game. We don’t communicate in the same way during a football match or a balle assise game ( Parlebas, 1999 ; Collard, 2004 ; Pic et al, 2019 ). The “framework” ( Goffman, 1974 ) channels motor behavior and helps to understand the strategic choices of players ( Pic et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Influence of Traditional Sporting Games on the Development of Creative Skills in Team Sports. The Case of Football

et al. 2020

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The aim of this present study is to investigate the influence of three learning contexts on the development of motor creativity of young footballers (8–9 years old). In team sport, creativity is a fundamental issue because it allows players to adapt in an environment of high social uncertainty. To carry out this work, we suggest a method for assessing motor creativity into ecological situations based on the analysis of praxical communications. Creativity originates from an interaction between divergence and convergence. In our case, the number of communications (fluidity) and the diversity of updated communications (flexibility) are our divergence indicators. Convergence, understood as the ability to make good decisions, is assessed by two expert judges (R > 0.90). Sixty boys’ football players (M = 8.67; SD = 0.3) coming from three football clubs participated in this research. The study lasted 2 years. Each year, a team of 10 players from each club participated in the research twice a week for 32 weeks (8 months), these groups attended different training sessions: (a) the control group (n = 20) followed a classical learning; (b) the decoding group (n = 20) attended training focused on learning the praxemes of football; (c) the traditional sporting games group (n = 20) followed a training session that was jointly focused on praxemes and the practice of traditional sporting games. The motor creativity of players and groups was assessed both at the beginning and at the end of the year during football matches. Compared to the control group, in the post-test, the group with the highest fluidity is the decoding group (p < 0.001) and the one with the highest fluidity is the traditional sporting games group. The latter group is also the one with the best convergence (p < 0.001). The results showed that traditional games can help develop players’ creative abilities. This research invites us to investigate the complementarity between the different offered training.

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Motor behaviour through traditional games

Cited by 37 publications

References 23 publications

Analysis of the Association between Running Performance and Game Performance Indicators in Professional Soccer Players

Analysis of the Association between Running Performance and Game Performance Indicators in Professional Soccer Players

Enhancing Multimodal Learning Through Traditional Sporting Games: Marro360°

Influence of Traditional Sporting Games on the Development of Creative Skills in Team Sports. The Case of Football

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