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Ghent Youth Soccer Project Talent identification Growth and maturation Age effects in soccer
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Ghent Youth Soccer Project Development of a Multidisciplinary Talent Identification and Training Model in Youth Soccer
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Purposes GYSP 1.Training model in youth soccer during adolescence: problem of maturation 2.Talent identification: multidisciplinary
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Multidusciplinary model PsychologicalSociological SOCCER TALENT MorphologicalPhysiologicalTechnical Performance related characteristics
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Talent identification Detection Identification SelectionDevelopment
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Sample and design mean age (years) test year 12 1313 1996 199 7 N = 160 141415151616 200 0 199 9 199 8 N = 139 N = 141 N = 128 N = 97 133 96 74 65
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Sample and design -12-13-14-15-16 mixed-longitudinal 75158173143116 cross-sectionial 82104424968 total number 157262215192184 total number of players tested: 665 total number of observations: 1086
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PsychologicalSociological SOCCER TALENT MorphologicalPhysiologicalTechnical
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Height and weight 10 skinfolds Breadth measurements Circumferences Skeletal maturation (TW2) Secundary sexual characteristics (Tanner stages)
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PsychologicalSociological SOCCER TALENT MorphologicalPhysiologicalTechnical
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EUROFIT Aërobic endurance –treadmill Anaërobic endurance and power –Shuttle tempo –Van de Walle test Speed (and agility) –30 m sprint –5x10 m Shuttle sprint Strength –VTJ, CMJ –Isokinetic en isometric (BIODEX)
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PsychologicalSociological SOCCER TALENT MorphologicalPhysiologicalTechnical
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Slalom dribbling test Accuracy of shooting Accuracy of passing (lob) Juggling Competition level: national, provincial, local Field position
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PsychologicalSociological SOCCER TALENT MorphologicalPhysiologicalTechnical
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Sport Interpersonal Relationship Q (Wylleman et al., 2000) Task and Ego Oriëntation in Sport S (Duda, 1989) Intrinsic Motivation Inventory (McAuley et al., 1989) Self Description Q II (Marsh, 1990) Sources of Sport-Confidence Q (Vealey et al., 1998)
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Perceptual skills and decision making
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1.Do soccer players grow earlier and faster? 2.Soccer players: early or late mature? 3.Physical characteristics in relation to PHV? I. Problem of maturation?
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Morphological maturation: PHV early mature average mature late mature 1.Do soccer players grow earlier and faster?
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age cm/year example: Height
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age cm/year mean age at peak velocity example: Height
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Height and weight height weight APHV = 13.8 years
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Question 1: Do soccer players grow earlier and faster than their peers? Answer 1: earlier: probably faster: NO !
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CL=12.0 jaar SL=9.0 jaar Height=143.1 cm CL=12.6 jaar SL=13.5 jaar Height=165.0 cm 2. Soccer players: early or late mature?
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10.5 jaar17.5 jaar
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National level ?
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Provincial level ?
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Local level ?
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Question 2: Soccer players: early or late mature? Answer 2: on average early mature
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3. Physical characteristics in relation to PHV?
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age cm/year example: Standing Broad Jump
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age cm/year mean age at peak velocity example: Standing Broad Jump
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Explosive strength SBJ VTJ
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Speed SHRSSPRINT 30m SPRINT
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Aërobic and anaërobic endurance ESHR STEMPO
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Flexibility SAR
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3. Physical characteristics in relation to PHV? Aërobic and anaërobic endurance Strength and SpeedFlexibility
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II. Talent identification: multidisciplinary Detection Identification SelectionDevelopment
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Aërobic endurance VariableAgeNationalProvincialLocalDiference ESHR (min)-127.9 ± 0.98.0 ± 0.77.2 ± 1.3n.s. -138.6 ± 1.58.1 ± 1.67.7 ± 1.4N><G -149.6 ± 1.49.2 ± 1.08.2 ± 1.4N,P><G -1510.7 ± 1.29.5 ± 1.48.7 ± 1.6N> <G -1610.9 ± 1.510.3 ± 2.18.9 ± 1.7N,P><G
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Aërobic endurance: VO 2 max VariableAgeNationalProvincialLocalDiference VO 2 max-1255.9 ± 7.060.2 ± 4.853.9 ± 5.8P><G (ml/kg/min)-1357.0 ± 4.657.2 ± 6.853.1 ± 4.6N,P><G -1457.3 ± 5.756.8 ± 4.353.2 ± 4.9N,P><G -1559.5 ± 4.956.5 ± 4.053.4 ± 6.3N,P><G -1657.4 ± 4.656.1 ± 4.254.7 ± 3.3N><G
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Anaërobic endurance: Shuttle Tempo VariableAgeNationalProvincialLocalDiference STEMPO-1277.4 ± 4.872.3 ± 2.480.1 ± 5.4P><G (sec)-1375.1 ± 4.476.0 ± 5.778.0 ± 4.6N><G -1472.4 ± 3.674.4 ± 4.476.4 ± 5.4N><G -1570.1 ± 4.073.0 ± 6.074.8 ± 6.0N><G -1667.6 ± 3.769.3 ± 3.672.1 ± 4.6N><G
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Speed VariableAgeNationalProvincialLocalDifference 30 m (sec)-124.5 ± 0.24.5 ± 0.34.8 ± 0.3N,P><G -134.4 ± 0.24.5 ± 0.24.6 ± 0.2N><P,G -144.3 ± 0.2 4.6 ± 0.3N,P><G -154.1 ± 0.24.2 ± 0.24.4 ± 0.3N,P><G -163.9 ± 0.24.0 ± 0.24.1 ± 0.2N><G
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Speed VariableAgeNationalProvincialLocalDifference SSPRINT-1214.5 ± 0.515.0 ± 0.815.5 ± 0.9N><G 5 x 10 m-1314.5 ± 0.815.3 ± 0.815.1 ± 0.6N><P,G (sec)-1414.3 ± 1.114.9 ± 0.9 N><P,G -1513.9 ± 0.714.6 ± 1.014.4 ± 1.0N><G -1613.6 ± 0.914.1 ± 0.814.1 ± 0.6N><P
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Strength VariableAgeNationalProvincialLocalDifference VTJ (m)-1232.4 ± 4.534.1 ± 5.330.0 ± 5.0ns -1333.7 ± 4.832.9 ± 5.130.6 ± 4.4N><G -1437.0 ± 5.137.0 ± 4.434.3 ± 5.4N,P><G -1540.4 ± 4.740.0 ± 5.335.7 ± 5.7N,P><G -1644.8 ± 5.045.5 ± 5.840.0 ± 6.5N,P><G
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Flexibility VariableAgeNationalProvincialLocalDifference SAR (cm)-1219.3 ± 5.417.6 ± 5.319.0 ± 5.5n.s. -1319.1 ± 6.118.3 ± 6.718.6 ± 5.0n.s. -1420.4 ± 6.118.0 ± 6.918.1 ± 6.2n.s. -1521.9 ± 7.317.3 ± 8.317.3 ± 6.3N><P,G -1622.8 ± 6.919.8 ± 8.215.5 ± 7.8N><G
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Slalom dribble VariableAgeNationalProvincialLocalDifference Dribbling-1219.2 ± 1.619.0 ± 1.420.8 ± 2.1N><G (sec)-1318.1 ± 1.518.8 ± 2.219.5 ± 1.9N><G -1417.4 ± 1.617.8 ± 1.119.3 ± 2.4N,P><G -1517.2 ± 1.317.4 ± 1.219.2 ± 2.2N,P><G -1616.5 ± 1.317.4 ± 0.817.5 ± 1.1N,P><G
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Anthropometry VariableAgeNationalProvincialLocalDifference Height (cm)-12147.7 ± 6.8148.4 ± 6.3145.9 ± 6.7n.s. -13151.8 ± 6.4152.1 ± 6.0153.6 ± 7.4n.s. -14158.2 ± 9.3160.4 ± 7.6159.8 ± 8.8n.s. -15167.0 ± 9.2168.9 ± 7.1167.4 ± 8.8n.s. -16172.0 ± 7.4174.5 ± 8.5174.1 ± 7.7n.s.
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P10P25P50P75P90 Height (cm)161.3167.0173.1177.7182.2 Weight (kg)47.752.957.764.770.9 Sum 5 skinfolds (mm)17.526.131.239.647.7 Example: Duarte, age -16 Sit and Reach (cm)10.015.920.526.031.0 10 x 5 m SHR (sec)21.319.918.917.917.4 Endurance SHR (min)6.58.09.511.012.0 Dribbling (sec)19.218.016.915.915.4
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www.bvlo.be
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The effects of task constraints on visual search behaviour and decision-making skill in youth soccer players Roel Vaeyens, Matthieu Lenoir, Mark Williams, Liesbeth Mazyn & Renaat Philippaerts (Journal of Sport and Exercise Psychology, 2005, submitted)
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Test tactical skills Universal: film clips of simulated soccer actions lab: projection on life-size screen Decision taking: open offensive situations 2 vs 1 3 vs 1 3 vs 2 4 vs 3 5 vs 3
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Mean number fixations/sec per group and situation
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Mean fixation duration per group and situation
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Fixation location: 3 vs 1
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Fixation location: 5 vs 3
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II. Talent identification: multidisciplinary Detection Identification SelectionDevelopment
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Selection of younger players in 1 st team? The Belgian case Evaluation of the ‘under-21 rule’ Do young adult (U-21) soccer players benefit? Roel Vaeyens – Renaat Philippaerts Ghent University Dept. Movement and Sports Sciences
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Methods Official match data from Royal Belgian Football Association 2e national (D2) + 3e national A (D3) 4 seasons –1998-1999 –1999-2000 –2000-2001 –2001-2002 53 teams – 2138 players
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Team selections conform -21 rule (%)
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Means (± SD) of number of selections and playing minutes per player and per season (D2) Season Age group 98-9999-0000-0101-02 Selections U21 13.6 ± 10.512.5 ± 10.413.0 ± 10.912.8 ± 11.0 21+ 23.1 ± 9.622.6 ± 10.522.7 ± 9.323.1 ± 9.5 Minutes U21 732.2 ± 840.1605.6 ± 804.0672.4 ± 830.6620.5 ± 845.9 21+ 1637.4 ± 942.21646.9 ± 1019.21625.6 ± 908.61669.0 ± 923.0
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Conclusions Teams in conformity with the U-21 rule Rather large variation within and between teams No increase in playing opportunities for young adult players in 1 st team Solutions: –change in mentality of trainers-coaches, clubs –better youth education programme
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