Passing and goal scoring characteristics in the Australian A-League
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e118 Abstracts / Journal of Science and Medicine in Sport 12 (2010) e1–e232 the dependent variable. Boys and girls were analysed sepa- rately. Results: Fitness performance varied with weight status across all fitness tests (p < 0.001). Jumping performance tended to decline as weight status increased, except in the standing broad jump where thin boys performed worse than their normal weight peers. For sprint and endurance running, the very thin, thin and normal weight youths displayed sim- ilar performances, with progressively poorer performances observed for overweight and obese youths respectively. For endurance running performance, distinct sex differences were apparent, with the very thin and thin boys performing more poorly, and the very thin and thin girls performing better than their normal weight peers. Conclusions: Contrary to expectations, the thin young people performed well compared to their peers. The fitness- performance of thin youth was broadly similar to that of normal weight youth and significantly better than obese youth. Weight status affects both the supply and demand components of fitness performance. Therefore, the factors associated with thinness (e.g. reduced fat, muscle and body mass) may account for the positive performances of thin youth when compared to those from other weight statuses. Given these findings, no specific health-related fitness inter- ventions are indicated for thin Australian youth. doi:10.1016/j.jsams.2009.10.242 242 Passing and goal scoring characteristics in the Australian A-League K. Johnson ∗ , A. Murphy University of Technology, Sydney Introduction: The global development of football and its increasing level of professionalism has lead to a greater demand for detailed information regarding all aspects of performance. Nonetheless, very little is known regarding successful strategies and tactics in Australian Football. The major aim of the current study was to determine if shorter passing sequences (four or less passes) are a more effective method of scoring goals than longer passing sequences (more than five passes). Methodology: Data regarding the number of passes per possession were collected on all regular season matches dur- ing the 2007–2008 A-League Association Football (soccer) competition. Eighty four matches were coded by Sportsdata Pty Ltd ©using a computerised video analysis system, The Football Analyst (Analyzer - SDSF 70654 V4.01.510). Results: A total 49662 possessions were analysed, result- ing in 220 goals. A higher proportion of goals are scored from longer passing sequences producing an average of 13 goals per 1000 possessions compared to 6 goals per 1000 posses- sions from shorter passing sequences. Notably, 46% of team possessions were zero length passing possessions. This per- centage is considerably higher than the figure reported in existing literature (approximately 25%). Conclusions: The current study found that longer passing sequences are a more efficient way of scoring goals compared to shorter passing sequences in elite Australian football. The higher percentage of zero length possessions could be a result of different football styles, a lower perceived value of retain- ing possession of the ball and/or a lower skill level of players, resulting in an inability to control the ball and maintain pos- session. This information can be utilised by coaches and players to identify the most successful tactics and strategies for creating goal scoring opportunities during the 2007–2008 A-League season and compare the A-League competition to other national and international competitions. These results also highlight a requirement for A-league coaches to develop training programs designed to increase the number of passes per possession and reduce the number of zero length passing possessions. doi:10.1016/j.jsams.2009.10.243 REFSHAUGE LECTURE 243 Notational analysis: Establishing stable performance pro- files in A-League football K. Johnson, A. Murphy ∗ , R. Bower University of Technology, Sydney Introduction: To ensure the reliability and validity of infor- mation generated via notational analysis it is important to establish stable performance profiles; otherwise any state- ments regarding the performance may not be valid. Previous notational analysis studies have employed relatively small sample sizes presenting an inherent danger of producing results that are unrepresentative of the way the team typically plays. The aim of this study was to investigate the number of matches required to be examined (sample size) prior to establishing a stable performance profile for three important performance indicators in Australian football. Methodology: The performance indicators examined in this study included the number of shots at goal, goals scored and passes per team per match. This data were collected on all regular season matches during the 2007 - 2008 A-League Asso- ciation Football (soccer) competition. Eighty four matches were coded by Sportsdata Pty Ltd ©using a computerised video analysis system, The Football Analyst (Analyzer - SDSF 70654 V4.01.510). The establishment of the stable profiles was determined by examining the cumulative means of each variable over consecutive matches for each team in the competition. The first point (number of matches) where the cumulative mean consistently lay within set limits of error was recorded as the establishment of a stable profile for that
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118 Abstracts / Journal of Science an
he dependent variable. Boys and girls were analysed sepa-ately.
Results: Fitness performance varied with weight statuscross all fitness tests (p < 0.001). Jumping performanceended to decline as weight status increased, except in thetanding broad jump where thin boys performed worse thanheir normal weight peers. For sprint and endurance running,he very thin, thin and normal weight youths displayed sim-lar performances, with progressively poorer performancesbserved for overweight and obese youths respectively. Forndurance running performance, distinct sex differences werepparent, with the very thin and thin boys performing moreoorly, and the very thin and thin girls performing better thanheir normal weight peers.
Conclusions: Contrary to expectations, the thin youngeople performed well compared to their peers. The fitness-erformance of thin youth was broadly similar to that oformal weight youth and significantly better than obeseouth. Weight status affects both the supply and demandomponents of fitness performance. Therefore, the factorsssociated with thinness (e.g. reduced fat, muscle and bodyass) may account for the positive performances of thin
outh when compared to those from other weight statuses.iven these findings, no specific health-related fitness inter-entions are indicated for thin Australian youth.
oi:10.1016/j.jsams.2009.10.242
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assing and goal scoring characteristics in the Australian-League
. Johnson ∗, A. Murphy
University of Technology, Sydney
Introduction: The global development of football and itsncreasing level of professionalism has lead to a greateremand for detailed information regarding all aspects oferformance. Nonetheless, very little is known regardinguccessful strategies and tactics in Australian Football. Theajor aim of the current study was to determine if shorter
assing sequences (four or less passes) are a more effectiveethod of scoring goals than longer passing sequences (more
han five passes).Methodology: Data regarding the number of passes per
ossession were collected on all regular season matches dur-ng the 2007–2008 A-League Association Football (soccer)ompetition. Eighty four matches were coded by Sportsdataty Ltd ©using a computerised video analysis system, Theootball Analyst (Analyzer - SDSF 70654 V4.01.510).
Results: A total 49662 possessions were analysed, result-
ng in 220 goals. A higher proportion of goals are scored fromonger passing sequences producing an average of 13 goalser 1000 possessions compared to 6 goals per 1000 posses-ions from shorter passing sequences. Notably, 46% of teamottw
cine in Sport 12 (2010) e1–e232
ossessions were zero length passing possessions. This per-entage is considerably higher than the figure reported inxisting literature (approximately 25%).
Conclusions: The current study found that longer passingequences are a more efficient way of scoring goals comparedo shorter passing sequences in elite Australian football. Theigher percentage of zero length possessions could be a resultf different football styles, a lower perceived value of retain-ng possession of the ball and/or a lower skill level of players,esulting in an inability to control the ball and maintain pos-ession. This information can be utilised by coaches andlayers to identify the most successful tactics and strategiesor creating goal scoring opportunities during the 2007–2008-League season and compare the A-League competition tother national and international competitions. These resultslso highlight a requirement for A-league coaches to developraining programs designed to increase the number of passeser possession and reduce the number of zero length passingossessions.
oi:10.1016/j.jsams.2009.10.243
EFSHAUGE LECTURE
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otational analysis: Establishing stable performance pro-les in A-League football
. Johnson, A. Murphy ∗, R. Bower
University of Technology, Sydney
Introduction: To ensure the reliability and validity of infor-ation generated via notational analysis it is important to
stablish stable performance profiles; otherwise any state-ents regarding the performance may not be valid. Previous
otational analysis studies have employed relatively smallample sizes presenting an inherent danger of producingesults that are unrepresentative of the way the team typicallylays. The aim of this study was to investigate the numberf matches required to be examined (sample size) prior tostablishing a stable performance profile for three importanterformance indicators in Australian football. Methodology:he performance indicators examined in this study included
he number of shots at goal, goals scored and passes peream per match. This data were collected on all regulareason matches during the 2007 - 2008 A-League Asso-iation Football (soccer) competition. Eighty four matchesere coded by Sportsdata Pty Ltd ©using a computerisedideo analysis system, The Football Analyst (Analyzer -DSF 70654 V4.01.510). The establishment of the stablerofiles was determined by examining the cumulative means
f each variable over consecutive matches for each team inhe competition. The first point (number of matches) wherehe cumulative mean consistently lay within set limits of erroras recorded as the establishment of a stable profile for that
