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1

Position-specific Physical Performance of Professional Players during Full-Season Matches in a Greek Superleague Elite Team

100%

Mitrotasios M., Ispyrlidis I., Mantzouranis N., Vassiliades E., Armatas V.

Central European Journal of Sport Sciences and Medicine

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2022

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vol. 37

13-21

EN

The aim of the present study was to examine how various playing positions and opponent team ranking affect the covered distances and the acceleration and decelerations profile of a team during 2018-19 Greek SuperLeague. StatSport GPS system recorded in match-play real-time both the players’ covered distances (m) and the number of acceleration/deceleration runs (n) in zones from 3 m/s2 to 10 m/s2. The descriptive statistics showed that the players’ mean covered distances were 10289 m per match. The MANOVA revealed significant differences of the players’ covered distances in all intensity zones in relation to their playing positions (F(12, 513.567)=41.862; p=0.000) and the opponent team ranking (F(3,189)=3.687; p=0.013). Furthermore, no significant interactions were observed between the playing positions and the opponent team ranking (F(12, 500.339)=1.149; p=0.318). Moreover, no significant differences were recorded regarding the opponent team ranking with the amount of accelerations (F(1,189)=0.501; p=0.480) and decelerations (F(1,189)=1.342; p=0.248). Summarizing, the current study showed the high-demanding competitive performance of midfielders, full backs and forwards regardless the standing of the opponent teams. Hence, the team’s training must include special stimuli of aerobic and high-intensity workouts according to the players’ playing positions in the match.

2

Factors influencing the performance of young football players in the yo-yo intermittent endurance test (Level 2)

100%

Brito J., Fernandes L., Seabra A., Rebelo A.

Biomedical Human Kinetics

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2010

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vol. 2

51-53

EN

Study aim: To find out whether the ability to accelerate, decelerate and turn may contribute to the performance of young football players during the Yo-Yo Intermittent Endurance Test - Level 2 (YYIEL2).Material and methods: A group of 239 young male football players from three age categories: under 15 years (U15; n = 102), under 17 years (U17; n = 59) and under 19 years (U19; n = 74) were evaluated in sprint, agility, and intermittent exercise performance. Multiple regression models weighted for maturity status were applied.Results: Significant (p<0.001) differences were found between the U15 and both other groups in all tests. The YYIEL2 was significantly correlated with 5-m and 30-m sprints and agility (r = 0.361, 0.499 and 0.555, respectively; p<0.001) and the latter 3 variables explained 31% (p<0.001) of the total variance of the YYIEL2 performance, the agility test alone being the strongest predictor (b = 0.56; p<0.001).Conclusions: Despite the usefulness of the YYIEL2 test used in football to determine aerobic fitness, other factors than O2max, such as peripheral limitations and the ability to accelerate, decelerate and turn, may influence the performance during the test.

3

Differences in performance indicators between winning and losing teams in the UEFA Champions League

100%

Lago-Peñas C., Lago-Ballesteros J., Rey E.

Journal of Human Kinetics

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2011

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vol. 27

135-146

EN

The aim of the present study was to identify performance indicators that discriminate winning teams from drawing and losing teams in the UEFA Champions League. All 288 matches played at the group stage in the 2007-2008, 2008-2009, and 2009-2010 seasons were analyzed. The game-related statistics gathered were: total shots, shots on goal, effectiveness, passes, successful passes, crosses, offsides committed and received, corners, ball possession, crosses against, fouls committed and received, corners against, yellow and red cards, venue, and quality of opposition. Data were analyzed performing a one-way ANOVA and a discriminant analysis. The results showed that winning teams had significantly higher average values that were for the following game statistics: total shots (p<0.01), shots on goal (p<0.01), effectiveness (p<0.01), passes (p<0.05), successful passes (p<0.05), and ball possession (p<0.05). Losing teams had significantly higher values in the variable yellow cards (p<0.01), and red cards (p<0.01). Discriminant analysis allowed to conclude the following: the variables that discriminate between winning, drawing and losing teams were the shots on goal, crosses, ball possession, venue and quality of opposition. Coaches and players should be aware of these different profiles in order to increase knowledge about game cognitive and motor solicitation and, therefore, to design and evaluate practices and competitions for soccer peak performance teams in a collective way.

4

Comparing Tactical Behaviour of Soccer Players in 3 vs. 3 and 6 vs. 6 Small-Sided Games

100%

Silva B., Garganta J., Santos R., Teoldo I.

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2014

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vol. 41

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issue 1

191-202

EN

The present study aimed to compare players’ tactical behaviour in 3 vs. 3 and 6 vs. 6 soccer small-sided games (SSGs). The sample comprised 3,482 tactical actions performed by 18 U-11 youth soccer players from a Portuguese club, in 3 vs. 3 and 6 vs. 6 SSGs. All participants played eight minutes in both situations and field size was adapted according to the number of players involved (30 m x 19.5 m for 3 vs. 3 and 60 m x 39 m for 6 vs. 6). The System of Tactical Assessment in Soccer (FUT-SAT) was used for data collection and analyses. Descriptive analysis was conducted to verify frequencies and percentages of the variables assessed. The chi-squared (χ2) test was performed to compare the frequencies of the variables between 3 vs. 3 and 6 vs. 6 SSGs and Standardized Residuals (e) were used to examine the influence of the frequency of one or more variables within 3 vs. 3 and 6 vs. 6 SSGs. Data treatment was performed through SPSS for Windows®, version 18.0. Results indicated that players displayed safer behaviours in 6 vs. 6 SSG and more aggressive behaviours in 3 vs. 3 SSG. Findings can aid coaches and teachers to develop different players’ tactical skills according to the chosen SSG (3 vs. 3 or 6 vs. 6) form.

5

Activity Profiles of Soccer Players During the 2010 World Cup

100%

Clemente F. M., Couceiro M. S., Lourenço Martins F. M., Ivanova M. O., Mendes R.

Journal of Human Kinetics

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2013

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vol. 38

201-211

EN

The main objective of this study was to analyse the distance covered and the activity profile that players presented at the FIFA World Cup in 2010. Complementarily, the distance covered by each team within the same competition was analysed. For the purposes of this study 443 players were analysed, of which 35 were goalkeepers, 84 were external defenders, 77 were central defenders, 182 were midfielders, and 65 were forwards. Afterwards, a thorough analysis was performed on 16 teams that reached the group stage, 8 teams that achieved the round of 16, 4 teams that reached the quarter-finals, and 4 teams that qualified for the semi-finals and finals. A comparison of the mean distance covered per minute among the playing positions showed statistically significant differences (F(4,438) = 559.283; p < 0.001; 2 = 0.836; Power = 1.00). A comparison of the activity time among tactical positions also resulted in statistically significant differences, specifically, low activity (F(4,183.371) = 1476.844; p < 0.001; 2 = 0.742; Power = 1.00), medium activity (F(4,183.370) = 1408.106; p < 0.001; 2 = 0.731; Power = 1.00), and high activity (F(4,182.861) = 1152.508; p < 0.001; 2 = 0.703; Power = 1.00). Comparing the mean distance covered by teams, differences that are not statistically significant were observed (F(3,9.651) = 4.337; p < 0.035; 2 = 0.206; Power = 0.541). In conclusion, the tactical positions of the players and their specific tasks influence the activity profile and physical demands during a match.

6

Reliability and Validity of New Tests on Agility and Skill for Children Soccer Players

88%

Kutlu M., YAPICI H., DEMİRKAN E., Yılmaz A.

Central European Journal of Sport Sciences and Medicine

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2014

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vol. 6

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issue 2

5-12

EN

Recently developed the agility and skill tests (AS) were reevaluated to assess the children’s agility together with the soccer shoots to ball for goal. Children (male) soccer players (N=68) (age= 11.6 ± 0.5 yrs; height=147 ± 6.6 cm; weight= 35.5 ± 5.6kg) participated in this study. Test – Retest and comparisons, including 20m Sprint, Long Jump, T- Drill Test, AS (with ball), AS (goal success) and Zigzag Tests were used to assess the children’s sprinting, jump power, and agility with shooting ball. All handled test results showed that there were significant differences between the tests - retest sessions (p < 0.01) except for the 20 m Sprint. There were a near perfect correlations between test and retest values (r=0.90-0.99). A higher level of correlation between the AS tests (goal success, with ball) (r=0.99) was found. There were very high levels of correlations between the AS (goal success and with ball) tests and Zigzag tests (r=0.71, r=0.70 respectively). These results suggest that the AS tests are reliable and valid agility and skill tests for children players. Because the AS tests have unique values and are composed of soccer specific agility and active shooting skills, they are very important in identifying the talent and ability of children.

7

Effects of Match Location, Match Status and Quality of Opposition on Regaining Possession in UEFA Champions League

88%

Almeida C. H., Ferreira A. P., Volossovitch A.

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2014

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vol. 41

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issue 1

203-214

EN

The present study aimed to examine the independent and interactive effects of match location, match status, and quality of opposition on regaining possession, analysed by the type and zone of ball recovery, in matches played in the 2011-2012 UEFA Champions League. Twenty-eight matches of the knockout phase were evaluated post-event using a computerized notational analysis system. Multinomial logistic regression analysis was applied to identify the effects of the previously mentioned situational variables on ball recovery type and zone. Match status and quality of opposition main effects were observed for both dependent variables, while main effects of match location were only evident for ball recovery zone. Additionally, the interactions Match location * Quality of opposition and Match status * Quality of opposition were significant for both type and zone of ball recovery. Better teams employed more proactive defensive strategies, since, even when winning, they tried to sustain their defensive success on actions that aimed to gain the ball from the opponents. Results emphasized the tendency for home and losing teams to defend in more advanced pitch zones. Better-ranked teams were also more effective than worse-ranked teams in applying defensive pressure in more advanced pitch positions. The findings of the study suggest that the defensive strategies used by better teams imply more intense and organized collective processes in order to recover the ball directly from the opposing team. Furthermore, defending away from own goal and near the opponent's one seems to be associated with success in elite soccer.

8

Physical Determinants of Interval Sprint Times in Youth Soccer Players

88%

Amonette W. E., Brown D., Dupler T. L., Xu J., Tufano J. J., De Witt J. K.

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2014

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vol. 40

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issue 1

113-120

EN

Relationships between sprinting speed, body mass, and vertical jump kinetics were assessed in 243 male soccer athletes ranging from 10-19 years. Participants ran a maximal 36.6 meter sprint; times at 9.1 (10 y) and 36.6 m (40 y) were determined using an electronic timing system. Body mass was measured by means of an electronic scale and body composition using a 3-site skinfold measurement completed by a skilled technician. Countermovement vertical jumps were performed on a force platform - from this test peak force was measured and peak power and vertical jump height were calculated. It was determined that age (r=-0.59; p<0.01), body mass (r=-0.52; p<0.01), lean mass (r=-0.61; p<0.01), vertical jump height (r=-0.67; p<0.01), peak power (r=-0.64; p<0.01), and peak force (r=-0.56; p<0.01) were correlated with time at 9.1 meters. Time-to-complete a 36.6 meter sprint was correlated with age (r=-0.71; p<0.01), body mass (r=- 0.67; p<0.01), lean mass (r=-0.76; p<0.01), vertical jump height (r=-0.75; p<0.01), peak power (r=-0.78; p<0.01), and peak force (r=-0.69; p<0.01). These data indicate that soccer coaches desiring to improve speed in their athletes should devote substantive time to fitness programs that increase lean body mass and vertical force as well as power generating capabilities of their athletes. Additionally, vertical jump testing, with or without a force platform, may be a useful tool to screen soccer athletes for speed potential.

Refine search results

Position-specific Physical Performance of Professional Players during Full-Season Matches in a Greek Superleague Elite Team

Factors influencing the performance of young football players in the yo-yo intermittent endurance test (Level 2)

Differences in performance indicators between winning and losing teams in the UEFA Champions League

Comparing Tactical Behaviour of Soccer Players in 3 vs. 3 and 6 vs. 6 Small-Sided Games

Activity Profiles of Soccer Players During the 2010 World Cup

Reliability and Validity of New Tests on Agility and Skill for Children Soccer Players

Effects of Match Location, Match Status and Quality of Opposition on Regaining Possession in UEFA Champions League

Physical Determinants of Interval Sprint Times in Youth Soccer Players