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european college of sport science

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Saturday, June 27th, 2009<br />

Discussion: Clearly, an argument can be made for <strong>of</strong>ficials simply not making the proper violation call, <strong>of</strong>ficials are in fact human. However,<br />

it may very well be that <strong>of</strong>ficials are simply not as likely to make the travelling violation call. This issue will be discussed from a<br />

pedagogical perspective where teaching the travelling rule and its understanding among youth may in fact be a deviation from the<br />

understood act <strong>of</strong> travelling in organized basketball. Furthermore, the travelling theme will be discussed from a fair play perspective<br />

(Reddiford, 1998) in that if the assumption is that travelling is a more subjective violation among <strong>of</strong>ficials, the outfall may in fact create a<br />

sense <strong>of</strong> self-deception among players in order to gain an unfair advantage in games where <strong>of</strong>ficiating <strong>of</strong> the act <strong>of</strong> travelling is subjectively<br />

liberal.<br />

THE TECHNICAL DEMANDS OF ATTACKING AND DEFENDING IN COACHED AND UNCOACHED RUGBY LEAGUE<br />

SMALL-SIDED GAMES<br />

FOSTER, C., TWIST, C., LAMB, K., NICHOLAS, C.<br />

UNIVERSITY OF CHESTER<br />

Introduction: In recent years, small sided-games (SSGs) have emerged as a multi-component training method which can achieve aerobic<br />

conditioning and skill development simultaneously. However, whilst the physiological demands elicited within SSGs have been studied<br />

(H<strong>of</strong>f et al., 2002; Hill-Haas et al., 2008) the technical demands <strong>of</strong> skills performed within SSGs have not been analysed. Furthermore, the<br />

effects <strong>of</strong> coaching on the skills within SSGs have not been previously examined, despite studies stating that coached SSGs increase<br />

player motivation (Impellizzeri et al., 2006). Accordingly, the purpose <strong>of</strong> this study was to examine the technical demands <strong>of</strong> attacking and<br />

defending in coached and uncoached SSGs in junior rugby league players.<br />

Methods: Following ethical approval, 17 junior players from a pr<strong>of</strong>essional club (age 13.4 ± 1.1 years, stature 1.68 ± 0.11 m, body mass<br />

61.5 ± 14.9 kg) volunteered to participate in eight, four-minute conditioned SSGs. Players engaged in both attacking and defensive roles<br />

(non-contact) and in coached and uncoached conditions. An analysis <strong>of</strong> attacking and defending skills was carried out using a hand<br />

notation system. Analysis included: game statistics (frequency <strong>of</strong> tries scored, errors made and set completion percentages), attacking<br />

variables (frequency <strong>of</strong> attacking involvements derived from the frequency <strong>of</strong> passes and attacking runs, i.e. dummy runs, hit ups and<br />

pass plays; Eaves and Broad, 2007), defending variables (frequency count <strong>of</strong> the number <strong>of</strong> touches). The success rate <strong>of</strong> passes and<br />

touches was also conducted, taken as the skill outcome and if the skill met pre-set coaching criteria.<br />

Results: Statistical analysis revealed similarities in the mean percentages <strong>of</strong> successful passes and touches between the coached (84.3 ±<br />

8.4 and 83.8 ± 7.0) and uncoached (79.5 ± 13.2 and 84.4 ± 6.5) conditions, respectively. Moreover, independent t-tests revealed no<br />

significant (P>0.05) differences between the coached and uncoached SSGs for any <strong>of</strong> the game statistics or attacking or defending variables.<br />

Discussion: Whilst the presence <strong>of</strong> a coach might be expected to increase the frequency and success rate <strong>of</strong> both attacking and defending<br />

skills, this study has demonstrated no difference in the skill frequency or success rate between coached and uncoached SSGs. This<br />

finding may reflect the players’ habituation to SSG training and that players possess high skill levels and require no additional motivation.<br />

Furthermore, the findings <strong>of</strong> this study indicate that skills used in matches and practised traditionally in a closed environment can be<br />

carried out successfully in SSGs in a pressurised game environment.<br />

References<br />

Eaves, S. and Broad, G. (2007). Int. J. Perf. Analysis Sport. 7: 54-66.<br />

Hill-Haas, S, et al. (2008). J Sci Med Sport 11: 487-490.<br />

H<strong>of</strong>f, J, et al. (2002). Br J Sports Med 36: 218-221.<br />

Impellizzeri, FM, et al. (2006). Int J Sports Med 27: 483-492.<br />

THE RELATIVE AGE OF ELITE JUNIOR SOCCER AND ICE HOCKEY PLAYERS IN SWITZERLAND<br />

ROMANN, M., FUCHSLOCHER, J.<br />

SWISS FEDERAL INSTITUE OF SPORT MAGGLINGEN<br />

Purpose: Identifying talented athletes at an early age has become one <strong>of</strong> the major issues in many competitive <strong>sport</strong>s (Abbott & Collins,<br />

2004). The relative age, which refers to the difference in age between children in the same selection year, has a significant influence in<br />

the talent identification process for many <strong>sport</strong>s (Musch & Grondin, 2001). The primary purpose <strong>of</strong> this study was to determine, if the<br />

relative age effect (RAE) exists in elite junior soccer and ice hockey players in Switzerland.<br />

Methods: 344 Swiss male elite junior ice hockey (age 15.3±1 yr.) and 183 soccer players (age 15.2±1.4 yr.), members <strong>of</strong> the national teams<br />

U15-U20, were evaluated. The year was divided into four quarters (Q1: January, February, March; Q2: April, May, June; Q3: July, August,<br />

September and Q4 October, November, December). The percentage <strong>of</strong> players born in the respective quartiles was compared to the<br />

distribution <strong>of</strong> male births in Switzerland (expected frequencies), which were obtained from the Swiss Federal Institute <strong>of</strong> Statistics. Statistical<br />

comparisons were calculated using the chi-square test.<br />

Results: The RAE was found with a distribution <strong>of</strong> Q1=53.0%, Q2=18.0%, Q3=19.7%, Q4=9.3% for soccer and Q1=42.4%, Q2=27.6%,<br />

Q3=19.5%, Q4=10.5% for ice hockey. The month <strong>of</strong> birth distribution differed statistically significantly from that <strong>of</strong> the general Swiss male<br />

population for the respective years in both groups (p

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