That's me BENCHMARK STATURE Badminton Basketball Cycling - - PowerPoint PPT Presentation

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That's me BENCHMARK STATURE Badminton Basketball Cycling - - PowerPoint PPT Presentation

That's me BENCHMARK STATURE Badminton Basketball Cycling Fencing Gymnastics Handball Judo Ski Soccer Taekwondo Table tennis Tennis Triathlon Volleyball SMALL TALL Quotient BENCHMARK STATURE Badminton Basketball Cycling


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That's me

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Badminton Basketball Gymnastics Judo Fencing Taekwondo Tennis Triathlon Volleyball Cycling

SMALL TALL

Soccer Handball Table tennis Ski

Quotient

BENCHMARK

STATURE

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Badminton Basketball Gymnastics Judo Fencing Taekwondo Tennis Triathlon Volleyball Cycling

SMALL TALL

Soccer Handball Table tennis Ski

Quotient

BENCHMARK

STATURE

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6.410.705 5.674.472 Population in 2015

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321.368.864

56 x 50 x

Disadvantage

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1.367.485.388

Disadvantage

241 x 213 x

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1.367.485.388

Disadvantage ADVANTAGE

241 x 213 x

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TALENT < TIMING < TENACITY

?

16 years

2 1 3

12 years 8 years 4 years

?

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Talent Detection

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BODY CHARACTERISTICS (4) PHYSICAL PERFORMANCE (8) MOTOR COORDINATION (4)

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Physical Performance = ACTUAL PERFORMANCE

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Motor Coordination = PERFORMANCE POTENTIAL

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LUCAS JOSEPH ANNA

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Talent Detection

Primary Schools in Flanders

(Girls n= 211.687)

Sports club membership

(n= 129.225)

85% 39%

3.175

3.175

NOT DETECTED HIGH POTENTIALS

10% Highest Scores 10% Lowest Scores

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Talent Detection

Primary Schools in Flanders

(Boys n= 222.459)

Sports club membership

(n= 152.607)

3.144

NOT DETECTED HIGH POTENTIALS

86% 48%

3.144

10% Highest Scores 10% Lowest Scores

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HOW TO RECOVER HIGH POTENTIALS

3.175

girls

3.144

boys

Talent Detection

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Talent Orientation

Sophie

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Key characteristics

CORRECTLY CLASSIFIED Badminton 96% - 83% Basketball 91% - 80% Gymnastics 98% - 92% Handball 84% - 46% Judo 98% - 71% Soccer 93% - 86% Table tennis 96% - 81% Triathlon 90% - 82% Volleyball 94% - 92% Stature

Sitting Height Weight Fat% BMI Shoulder rotation Sit and reach Counter movement jup Shuttle run 10 x 5m Sprint 5m Sprint 30m Sit ups Knee Push ups Standing broad jump Endurance shuttle run KTK BB KTK JS KTK MS Dribble run Dribble Hands Dribble Feet Throwing shuttles

Generic anthropometric and performance characteristics among elite adolescent boys in nine different sports Johan Pion, Veerle Segers, Job Fransen, Gijs Debuyck, Dieter Deprez, Leen Haerens, Roel Vaeyens, Renaat Philippaerts and Matthieu Lenoir European Journal of Sports Sciences (2014)

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LUCAS JOSEPH ANNA

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Talent Orientation

Anna Joseph Lucas

Triathlon Triathlon

Triathlon Athletics Fond Swimming

Swimming Athletics Fond Swimming

Athletics Fond

Gymnastics

Fencing

Gymnastics Fencing Gymnastics

Fencing

Taekwondo Judo Taekwondo Judo

Taekwondo Judo

Tennis Badminton

Tennis Badminton

Tennis Badminton Basketball Volleyball Basketball Volleyball

Basketball Volleyball

Cycling

Soccer

Cycling Soccer

Cycling

Soccer

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LUCAS JOSEPH ANNA

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Sports Compass for ALL I Do I Like

score = 8/10 score = 3/10 score = 8/10 score = 4/10 score = 9/10 score = 8/10

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Talent Detection Talent Orientation

Skipped phase Missing link 16 years

2 1 3

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Talent Detection Talent Orientation

Skipped phase Missing link 16 years

2 1 3

12 years

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Talent Development Talent Selection Talent Identification Talent Development Talent Selection Talent Identification Talent Development Talent Selection Talent Identification

Fencing Gymnastics Basketball

Elite Sports Schools (N=16)

Talent Detection Talent Orientation

Skipped phase Missing link

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ANNA

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3y 4y 5y 6y Baseline 5 y later

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Talent in female gymnastics: a survival analysis based upon performance characteristics Pion J, Lenoir M, Vandorpe B, Segers V (2015), Int J Sports Med 2015; 36(11): 935-940

Talent Identification

Talent Development Talent Selection Talent Identification

Gymnastics

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100% 0% 3 4 5 6 < 3.90 s. > 4.28 s. Sprint 20m Drop Out Ratio 67.6%

Talent in female gymnastics: a survival analysis based upon performance characteristics Pion J, Lenoir M, Vandorpe B, Segers V (2015), Int J Sports Med 2015; 36(11): 935-940

Talent Identification

Talent Development Talent Selection Talent Identification

Gymnastics

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Talent Identification

Predictive models reduce talent development costs in female gymnastics. Pion J, Hohmann A, Tianbiao Liu, Vandorpe B, Lenoir M, Segers V. (2016) Journal of Sports Science (Published online: 07 jun 2016) Baseline Decision Discriminant Analysis Kohonen Feature Maps Multi Layer Perceptron A.N.N & D.A A.N.N & D.A & Survival N= 138 N=92 28/35 28/35

  • 33%
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TALENT < TIMING < TENACITY

16 years

2 1 3

12 years

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Talent (De)SELECTION

Talent Development Talent Selection Talent Identification

Provide a broad development

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Talent Development Talent Selection Talent Identification Talent Development Talent Selection Talent Identification Talent Development Talent Selection Talent Identification Talent Development Talent Selection Talent Identification Talent Development Talent Selection Talent Identification Talent Development Talent Selection Talent Identification Talent Development Talent Selection Talent Identification Talent Development Talent Selection Talent Identification Talent Development Talent Selection Talent Identification

Combat sports Artistic Sports Team Sports

Cluster Sports Schools

Talent Detection Talent Orientation

Skipped phase Missing link

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16 years

2 1 3

12 years 8 years

Junior Talent Development

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Talent Development

Fencing Gymnastics Basketball

Talent Development Talent Development

Junior High Potentials

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JOSEPH

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Muscle Talent Scan

Non-invasive NMR scan 20 min (no radiation) Invasive Muscle biopsy (painful)

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Talent Development Talent Selection Talent Identification Talent Development Talent Selection Talent Identification Talent Development Talent Selection Talent Identification Talent Development Talent Selection Talent Identification Talent Development Talent Selection Talent Identification Talent Development Talent Selection Talent Identification Talent Development Talent Selection Talent Identification Talent Development Talent Selection Talent Identification Talent Development Talent Selection Talent Identification

Combat sports Artistic Sports Team Sports

Talent Detection Talent Orientation

Skipped phase Missing link

Talent Transfer

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16 years

2 1 3

12 years 8 years

Senior Talent Development

4 years

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LUCAS

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Positions in elite basketball based on performance characteristics

97,3% correctly classified

Positions in elite basketball based on performance characteristics Pion J, Segers V, Stautemas J, Boone J, Lenoir M,Bourgois J (submitted) Journal of Sports Science

Final adjustments

99,9% correctly classified

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Final decisions

Focus

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Gold Gold Bronze Bronze Silver Silver

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Final decisions

Focus Windows of opportunity

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4th

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6th

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Final decisions

Focus Windows of opportunity Transfer

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16 years

2 1 3

12 years 8 years

Talent Confirmation

4 years 1 minute

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Olympic Final (100m Butterfly)

Lane Name Country 1 Sadovnikov Aleksandr RUS 2 Phelps Michael USA 3 Li Zhuhao CHN 4 Schooling Joseph SIN 5 Le Clos Chad RSA 6 Cseh Laslo HUN 7 Shields Tom USA 8 Mettela Mehdi FRA

Succes p = 12.5% (gold) p = 37.5% (medal)

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CAN SMALL COUNTRIES INFLUENCE THE STARTING LISTS?

SINGAPORE SINGAPORE BELGIUM

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Talent Development Talent Selection Talent Identification Talent Development Talent Selection Talent Identification Talent Development Talent Selection Talent Identification Talent Development Talent Selection Talent Identification Talent Development Talent Selection Talent Identification Talent Development Talent Selection Talent Identification Talent Development Talent Selection Talent Identification Talent Development Talent Selection Talent Identification Talent Development Talent Selection Talent Identification

Combat sports Artistic Sports Team Sports

Talent Detection Talent Orientation

Skipped phase Missing link

Talent Transfer

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eTALENT Lab