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VIth World Congress on Science and Football, Book of Abstracts, January 16-20, 2007, Antalya, Turkey
© Journal of Sports Science and Medicine (2007) Suppl. 10 , 6 - 11
2. MOVEMENT ANALYSIS O-007 Deceleration movements performed during FA Premier League soccer matches Jonathan
Bloomfield1, Remco Polman2 and Peter O'Donoghue3 METHODS The on-field activity of 55 FA Premier League soccer players was recorded from Sky Television's PlayerCam facility for approximately 15 minutes each. The purposeful movement within these observations (about 5 minutes per player) was analysed using the Bloomfield Movement Classification (Bloomfield et al., 2004) allowing LM, direction and intensity of movement to be recorded. RESULTS A total of 26,613 movements were recorded and 514 of these were DCL events. The analysis indicates that a player will perform a mean of 9.3 DCLs per 15mins. Table 1 shows the LM performed immediately before and after each DCL. There were 76.9% of the DCLs performed after sprinting and 41.6% of activity performed after all DCLs were classed as high intensity. Table
1. Frequency of locomotive movements performed immediately before
and after decelerations during 13 hours and 45 minutes of soccer match
play.
DISCUSSION The mean duration of all DCLs was 0.82s, however, there were 72.2% of all DCLs less than 1s and 95.5% less than 2s. The current results provide useful knowledge for strength and conditioning and injury prevention and rehabilitation exercises specifically for elite soccer players. REFERENCES KEY WORDS
Deceleration, injury prevention, strength, conditioning O-008 A technical analysis of elite male soccer players by position and success Mike Hughes
and Craig Maloney METHODS Data were gathered from matches within the 2004 European Championships (n = 31). A specifically designed notation system was tested for reliability by % error and the Chi-Squared test of independence. P value of 0.99 indicated strong inter-observer reliability between action observations, and 5.32% error was accepted as being acceptable given the subjective and qualitative nature of the data. RESULTS The technically best team did not win the tournament; Greece was joint 10th in the overall technique-ranking table. Portugal and the Czech Republic had the highest average technique scores. The successful teams during the early rounds had higher technique scores in all positions but in the semi finals and finals the losing teams had the higher technique scores (Table 1). Table
1. Technical Score summations for selected team's skill rating.
DISCUSSION A regression was made between the team's final position and their technique ratings at different skills. It gave insight into the relative strengths and weaknesses of these Performance Indicators. 'Heading' and 'running-with-ball' were ranked at the top, whilst fine skills, 'passing' and 'dribbling', were rated at the lowest. Perhaps this reflected the surprise result of the tournament. KEY WORDS
Technical analysis, elite male soccer, player position, success. O-009 Method comparison of linear distance and velocity measurements with global positioning satellite (GPS) and the timing gate techniques. Matthew
Portas1, Chris Rush1, Chris Barnes2 and Alan Batterham1 OBJECTIVE Objective quantification of training volume and intensity in football has proved a complex task. Timing gates permit the quantification of speed over pre-planned distances but are not suitable for general training drills, which are random and multidirectional. Recent developments in GPS technology offer potential to overcome logistical issues and restrictions of the timing gate method. Currently, there is a limited understanding of the measurement properties of commercially available GPS units in football training environments. Therefore, the aim of this investigation was to perform a method comparison of linear distance and velocity measurements with commercially available GPS units and the timing gate technique. METHODS Three Doppler shift 1 Hz GPS units were used to estimate distance (m) and velocity (km/h) in a linear running protocol at varying velocities and were compared against timing gates over 10 trials. For GPS-estimated distance, mean % error was calculated. For velocity a log-transformed linear regression was conducted. The standard error of the estimate for each unit was expressed as % CV. RESULTS
The error for GPS distance measurements varied by the velocity of the
trial. The mean % error was highest during running at 22.5km/h (5.64%;
2.82m). The lowest % error (0.71%; 0.36m) was at the slowest velocity
of 6.45 km/h. At the highest velocity (27 km/h) the mean % error was -1.51%
(-0.76m). The % CV for the GPS-estimated velocity was 1% for each of the
three units (95% CI 0.8% to 1.2%). CONCLUSION To quantify football related movements' future work should consider comparison of GPS and image-based video analysis technology on non-linear courses. KEY WORDS
Technology, displacement, speed. O-010
Analysis of technical-tactical parameters in young soccer players OBJECTIVE A soccer player's achievement depends on variables such as psychology, physical condition, coordination and cognition. Although researchers have focused on all variables, investigation in how the tactic influences achievement is yet unknown (McMorris, 1997; Rulence-Pâques et al, 2005). No experimental evidence exists about relation between technical and tactical actions. The principal aim of the study was to analyze the technical and tactical actions of passing, looking and opening space, and shooting the ball towards a goal in a football match. METHODS Four groups of twelve football players participated in this study. They belonged to two age categories (8-12 years). Three technical-tactical tests were used to measure the variables (passes, looking opening space and shoots to the goal). In order to carry out the subsequent analysis, two video cameras (Panasonic AG-DVX 100AE) were used for filming. RESULTS The descriptions of all the measured variables are shown in Table 1. No significant differences were obtained in any of the variables analyzed in relation to category, position and/or dominance of subjects. A positive correlation was found between the number of correct, looking opening space, and the number of goals scored (r = 0.765, p < 0.001. n = 48). Table
1. Descriptions of the variables measured
DISCUSSION The present study showed no significant difference among the means of independent variables analyzed. Nonetheless, significant relations were found among the technical and tactical variables studied. It would be interesting to prolong observation times in future investigations to increase the likelihood of finding significant differences among the independent variables analyzed. REFERENCES KEY WORDS
Soccer, technique, tactic. O-011 Automatic analysis of football games using GPS on real time José Pino1,
Raul Martinez-Santos3, Maria Isabel Moreno2 and Carlos Padilla2 OBJECTIVE Global Positioning System (GPS) is a localization system designed by the United States Department of Defence in 1978 that allows knowing latitude, longitude and altitude. To a certain extent, soccer action implies using space in an intelligent way that can be tracked by describing players' positions on the pitch. This technology has been used in human movement studies as well for the study of human locomotion and cross-country skiing for instance. The main objective of this investigation was to test and ad hoc designed and developed application for real time recording of cinematic and physiological variables of team sports. METHODS The participants were 6 professional football players of 2nd B division El Ejido FC who played a 60'game (30'+30') practice game. Each of the participants wore a FRWD F 500 GPS set consisting of a recording unit, a tape and a heart rate (HR) transmitter band. All data produced during play action (velocity, distance, HR and position) were taken every second and stored constantly on the recording unit. RESULTS According to collected data we found significant differences in distance travelled in four of the six players whereas HR was different for all players monitored. As far as velocity was concerned, differences were only found for three participants (Table 1). Table
1. Inter-subject analysis of the variables (Heart Rate, Speed and
Distance p < 0.005).
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