Differences in GPS variables according to playing formations and playing positions in U19 male soccer players

Borghi, Stefano; Colombo, Davide; Torre, Antonio La; Banfi, Giuseppe; Bonato, Matteo; Vitale, Jacopo Antonino

doi:10.1080/15438627.2020.1815201

Cited by 32 publications

(41 citation statements)

References 28 publications

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“…Center backs demonstrated higher values for total distance and accelerations for the 4-3-3 formation compared to other formations (ES range: 0.19≤ effect size [ES] ≤0.78). This finding contradicts other investigations, which identified lower total distance and accelerations for center backs in 4-3-3 compared to other formations [ 12 , 16 , 28 ]. However, it should be noted, that these investigations used relatively small sample sizes which might limit their explanatory power.…”

Section: Discussioncontrasting

confidence: 99%

“…Regarding forwards, there were only little differences between the formations in terms of physical performance. Contrasting the results of several other investigations [ 12 , 14 , 24 , 28 ] that found the highest total distance for forwards in 3-5-2, the present results revealed the lowest total distance for forwards in 3-5-2. Furthermore, forwards in the 4-4-2 diamond formation showed higher values regarding sprint distance and maximum speed compared to other formations (0.40≤ES≤1.09).…”

Section: Discussioncontrasting

confidence: 99%

See 1 more Smart Citation

Center backs work hardest when playing in a back three: The influence of tactical formation on physical and technical match performance in professional soccer

et al. 2022

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The purpose of this study was to investigate whether tactical formation affects the physical and technical match performance of professional soccer players in the first German Bundesliga. From official match data of the Bundesliga season 2018/19, physical (total distance, high-intensity distance, sprinting distance, accelerations, maximum velocity) and technical performance (short/middle/long passes, dribblings, ball-possessions) of players were analyzed. Players were categorized into five playing positions (center back, full back, central midfielder, wide midfielder, forward) and teams into eight different tactical formations (4-4-2, 4-4-2 diamond, 4-2-2-2, 4-3-3, 4-5-1, 4-2-3-1, 3-4-3, 3-5-2). Results revealed that the degree to which tactical formation affects match performance is position dependent. In terms of physical performance, center backs and full backs showed highest sprinting distances when playing in a formation with only three defenders in the back row (3-4-3, 3-5-2) compared to all other formations (ES range: 0.13≤ES≤1.27). Regarding technical performance, all positions except forwards displayed fewer short passes, middle passes and ball-possessions in the formations 4-3-3 and 4-2-3-1 compared to all other formations (0.02≤ES≤1.19). In conclusion, physical and technical performance of center backs, full backs and wide midfielders differed markedly between the tactical formations. Conversely, the physical and technical performance of central midfielders and forwards only showed small differences between the different tactical formations. These findings can help coaches scheduling their practice. For example, if a coach wants to change the playing formation, he can anticipate the physical and technical match performance changes depending on the respective playing position.

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Section: Discussioncontrasting

confidence: 99%

Section: Discussioncontrasting

confidence: 99%

Center backs work hardest when playing in a back three: The influence of tactical formation on physical and technical match performance in professional soccer

et al. 2022

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“…For the same reasons, attackers’ performance was indistinguishable from midfielders, despite the different playing spatial constrains, in relation with time spent or covered distance at high speed. These findings are in agreement with previous studies carried out also on elite players [ 16 , 55 , 56 , 57 , 58 ], confirming that the positional role specifies the performance profile.…”

Section: Discussionsupporting

confidence: 93%

Influence of the Area per Player in Non-Professional Soccer Players: A Pilot Study Focused on Positional Roles

Mancini

Vitucci

Meo

et al. 2021

IJERPH

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This study analyses the influence of different area per player (AP; 75, 98 and 131 m2) on the average metabolic power (MP) and other soccer-related performance variables in relation to the positional roles. We recruited 19 non-professional male soccer players (25.2 ± 6.3 y; 23.7 ± 2.3 kg/m2; 16.4 ± 6.3 y soccer experience) to play three different small-sided games (SSGs): SSG1 (5 vs. 5; 30 × 30 m; 5 min), SSG2 (5 vs. 5; 35 × 45 m; 5 min) and SSG3 (7 vs. 7; 35 × 45 m; 8 min). Specific playing rules were applied. GPS-assessed soccer-related variables were: average MP (AMP), distance covered in 1 min (DIS); % time spent at high speed (v > 16 km/h; % hst) or MP (>20 W/kg; % hmpt); % distance covered at high positive/negative speed (2 < v < 4 m/s2, % ACC; −6 < v < −2 m/s2, % DEC); and number of actions at high MP (hmpa). All recorded variables differed when each SSG was compared to the others (p < 0.05), but for hmpa for attackers. Most performance variables were positively associated with increasing AP (p < 0.05), but for % ACC and % DEC, and differed among positional roles within the same SSG (p < 0.05). Here the general applicability of SSGs, regardless the physical/technical skills of the group of players, to enhance performance is confirmed; furthermore, quantitative advices on AMP and other performance variables are provided to achieve significant improvements in all soccer players of the team.

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“…Soccer is a physically demanding sport where both aerobic and anaerobic systems are taxed during intense activities, such as sprints, accelerations, decelerations and change of directions, alongside sport-specific technical actions, such as tackles, headings, passes, and shots Beato & Jamil, 2018;Mohr et al, 2005). Soccer players generally cover a total distance of 10-13 km during a game, which is typically associated with the player's position, where external roles (e.g., wings), for tactical motivations, cover longer distances compared to internal positions (e.g., central backs) (Borghi et al, 2020;Christopher et al, 2016;Mohr et al, 2003;Tierney et al, 2016). Thus, physical conditioning is of high importance to coaches, practitioners and researchers alike in soccer (Mohr et al, 2003(Mohr et al, , 2005.…”

Section: Introductionmentioning

confidence: 99%

Quantifying and modelling the game speed outputs of English Championship soccer players

Connor

Mernagh²,

Beato

2021

Research in Sports Medicine

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This study aims to quantify and model the game-speed demands of professional soccer players competing in the English Championship league, to compare the effect of match location and to examine the effect of playing position on game-speed outputs across the season. Twenty-eight male professional soccer players were enrolled. Moving average calculations were applied to the raw GNSS (STATSports) speed data of each player's duration matches (home = 14 and away = 9). Positional groups were centre-back (CB), full-back (FB), centre-midfield (CM), wing-midfield (WM) and centre-forward (CF). The maximum value across each of the moving average window durations was extracted and converted to units of metres per minute. Power-law models were fitted to all observations (R2 = 0.64), home only (R2 = 0.98), and away only (R2 = 0.98). No significant effects are observed in game-speed outputs when home and away games are analysed. Significant differences were seen between the following positional groups; CBvs.CF (d = −0.323), CM (d = −0.530) and FB (d = −0.350). CM displayed positive difference compared to WM (d = 0.614). This study reported power-law model fitted game speed. Players' positional groups have significantly different game-speed demands, which should be considered during match analysis and training periodization. This study found that game speed is not affected by the location of the match.

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Differences in GPS variables according to playing formations and playing positions in U19 male soccer players

Cited by 32 publications

References 28 publications

Center backs work hardest when playing in a back three: The influence of tactical formation on physical and technical match performance in professional soccer

Center backs work hardest when playing in a back three: The influence of tactical formation on physical and technical match performance in professional soccer

Influence of the Area per Player in Non-Professional Soccer Players: A Pilot Study Focused on Positional Roles

Quantifying and modelling the game speed outputs of English Championship soccer players

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