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

Sep 22, 2023 •161 likes •767 views

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

  2. That's me

  3. BENCHMARK STATURE Badminton Basketball Cycling Fencing Gymnastics Handball Judo Ski Soccer Taekwondo Table tennis Tennis Triathlon Volleyball SMALL TALL Quotient

  4. BENCHMARK STATURE Badminton Basketball Cycling Fencing Gymnastics Handball Judo Ski Soccer Taekwondo Table tennis Tennis Triathlon Volleyball SMALL TALL Quotient

  6. Population in 2015 6.410.705 5.674.472

  7. Disadvantage 321.368.864 56 x 50 x

  8. Disadvantage 1.367.485.388 241 x 213 x

  9. Disadvantage ADVANTAGE 1.367.485.388 241 x 213 x

  10. ? ? TALENT < TIMING < TENACITY 16 years 12 years 8 years 4 years 1 2 3

  12. Talent Detection

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

  14. Physical Performance = ACTUAL PERFORMANCE

  15. Motor Coordination = PERFORMANCE POTENTIAL

  16. ANNA JOSEPH LUCAS

  17. Primary Schools in Flanders (Girls n= 211.687) Sports club membership (n= 129.225) 3.175 85% 39% NOT DETECTED HIGH POTENTIALS 10% 10% 3.175 Lowest Highest Scores Scores Talent Detection

  18. Primary Schools in Flanders (Boys n= 222.459) Sports club membership (n= 152.607) 3.144 86% 48% NOT DETECTED HIGH POTENTIALS 10% 10% 3.144 Lowest Highest Scores Scores Talent Detection

  19. HOW TO RECOVER 3.175 3.144 girls boys HIGH POTENTIALS Talent Detection

  20. Sophie Talent Orientation

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

  22. ANNA JOSEPH LUCAS

  23. Anna Lucas Athletics Fond Athletics Fond Triathlon Cycling Cycling Triathlon Soccer Swimming Soccer Swimming Basketball Gymnastics Basketball Gymnastics Volleyball Fencing Volleyball Fencing Tennis Taekwondo Tennis Joseph Badminton Taekwondo Judo Badminton Judo Athletics Fond Triathlon Cycling Swimming Soccer Basketball Gymnastics Volleyball Fencing Tennis Taekwondo Badminton Judo Talent Orientation

  24. ANNA JOSEPH LUCAS

  25. Sports Compass for ALL I Like I Do score = 4/10 score = 8/10 score = 3/10 score = 9/10 score = 8/10 score = 8/10

  26. 16 years 1 2 3 Talent Orientation Missing link Talent Detection Skipped phase

  27. 16 years 12 years 1 2 3 Talent Orientation Missing link Talent Detection Skipped phase

  28. Elite Sports Schools (N=16) Talent Development Talent Development Talent Development Talent Selection Talent Selection Talent Selection Talent Identification Talent Identification Talent Identification Fencing Gymnastics Basketball Talent Orientation Missing link Talent Detection Skipped phase

  29. ANNA

  30. Talent Identification 3y 4y 5y Talent Development 6y Talent Selection Talent Identification Baseline 5 y later Gymnastics 243 35 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

  31. Talent Identification 100% Sprint 20m Drop Out Ratio 67.6% Talent Development < 3.90 s. Talent Selection > 4.28 s. Talent Identification Gymnastics 0% 3 4 5 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

  32. Talent Identification N= 138 -33% 28/35 28/35 N=92 Baseline Discriminant Kohonen Multi Layer A.N.N & D.A & A.N.N & D.A Decision Analysis Feature Maps Perceptron Survival 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)

  33. TALENT < TIMING < TENACITY 16 years 12 years 1 2 3

  34. Talent (De)SELECTION Talent Development Talent Selection Talent Identification Provide a broad development

  35. Cluster Sports Schools Talent Development Talent Development Talent Development Talent Development Talent Development Talent Development Talent Selection Talent Selection Talent Selection Talent Development Talent Development Talent Development Talent Selection Talent Selection Talent Selection Talent Identification Talent Identification Talent Identification Talent Selection Talent Selection Talent Selection Talent Identification Talent Identification Talent Identification Talent Identification Talent Identification Talent Identification Combat sports Artistic Sports Team Sports Talent Orientation Missing link Talent Detection Skipped phase

  36. 16 years 12 years 8 years 1 2 3 Junior Talent Development

  37. Junior High Potentials Talent Development Talent Development Talent Development Fencing Gymnastics Basketball

  38. JOSEPH

  39. Muscle Talent Scan Invasive Non-invasive Muscle biopsy (painful) NMR scan 20 min (no radiation)

  42. Talent Transfer Talent Development Talent Development Talent Development Talent Development Talent Development Talent Development Talent Selection Talent Selection Talent Selection Talent Development Talent Development Talent Development Talent Selection Talent Selection Talent Selection Talent Identification Talent Identification Talent Identification Talent Selection Talent Selection Talent Selection Talent Identification Talent Identification Talent Identification Talent Identification Talent Identification Talent Identification Combat sports Artistic Sports Team Sports Talent Orientation Missing link Talent Detection Skipped phase

  43. 16 years 12 years 8 years 4 years 1 2 3 Senior Talent Development

  44. LUCAS

  45. Final adjustments Positions in elite basketball based on performance characteristics 97,3% correctly 99,9% classified 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

  46. Final decisions Focus

  47. Silver Gold Bronze Gold Bronze Silver

  48. Final decisions Focus Windows of opportunity

  49. 4th

  50. 6th

  51. Final decisions Focus Windows of opportunity Transfer

  54. 16 years 12 years 8 years 4 years 1 minute 1 2 3 Talent Confirmation

  55. 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)

  57. CAN SMALL COUNTRIES INFLUENCE THE STARTING LISTS? SINGAPORE BELGIUM SINGAPORE

  58. Talent Transfer Talent Development Talent Development Talent Development Talent Development Talent Development Talent Development Talent Selection Talent Selection Talent Selection Talent Development Talent Development Talent Development Talent Selection Talent Selection Talent Selection Talent Identification Talent Identification Talent Identification Talent Selection Talent Selection Talent Selection Talent Identification Talent Identification Talent Identification Talent Identification Talent Identification Talent Identification Combat sports Artistic Sports Team Sports Talent Orientation Missing link Talent Detection Skipped phase

  60. eTALENT Lab

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