This document discusses the use of performance analysis systems and analytics in elite sports. It describes the UK Sport Innovation Partnership program from 2008-2016 that funded projects to develop technologies to improve athletic performance. Several examples are provided of technical performance analysis systems developed for specific sports like diving, boxing, taekwondo, and curling that record and analyze video and data to provide automated feedback to athletes and coaches. The key principles of performance improvement through these systems include validating data, understanding factors that influence performance, effectively communicating feedback, and changing behaviors.

1. Analytics and the Olympics:
the development of performance analysis
systems for elite sport
Prof Steve Haake

2. Staff

3. PhD students

4. Masters students

5. UK Sport Innovation Partnership

6. UK Sport Innovation Partnership
• 2008-2012 and 2012-2016
• Any technologies that improve performance
• Equipment and enabling technologies
• Embedded technologies
• Projects allocated as we go
• Value for money
• Ability to affect medals

7. Skeleton bobsled

8. Skeleton bobsled

9. Skeleton bobsled

10. Skeleton bobsled

11. Skeleton bobsled

12. Performance analysis:
analysis or analytics?
Anecdote Analysis Analytics
Inspection
Statistics
Multivariate
100 106 1018103 109Data
Methods
Communication
Machine
learning
Verbal Video
Simple data
Video
Simple data
Graph(s)
Video
Simple data
Graphs
Dashboard

13. UK Sport Innovation Partnership
• How do you know you make a difference?

14. 100-m: What affects performance?
Average of the top-25 performances

15. Pole vault: what affects performance?
Average of the top-25 performances
Haake (2009) The impact of technology on sporting
performance in Olympic sports, JSS, 27 (13) 1421-1431

16. What affects performance?

17. What affects performance?

18. Performance improvement:
key principles
• What data do we have?
• Is it validated?
• What is our understanding?
• How will we feed it back?
• How will we change behaviour?

19. Technical performance analysis systems:
What we want to do…
• Record data and video
• Store it
• Retrieve it
• Analyse it
• Feed it back, change behaviour & improve performance

20. Visualization and feedback
How we want it…
• In situ
• Immediately and visually
• Automatically with high resolution
• With the ability to annotate
• Distributed automatically to athletes and coaches
• Low cost (or no cost)
• Now (or last week)

21. Technical performance analysis systems

22. Off
the
shelf
systems

23. Diving

24. Measurement
–
in
the
field

25. iDive

26. Visualization and feedback

27. Race analysis system “Nemo”

28. Race analysis system “Nemo”
• Video race analysis
• 1.2 million data entries
• 47,000 swims
• 2,500 swimmers
• 60 tournaments

29. iGymnastics

30. Boxing – video capture and replay

31. Boxing – video capture and replay

32. iBoxer

33. iBoxer

34. iBoxer

35. iBoxer Database

36. iBoxer Hitcounter

37. iTaekwondo

38. iThor

39. iThor

40. iCurl

41. Support for London 2012

42. Performance improvement:
analysis or analytics?
100 106 1018103 109Data

43. Concluding remarks
• Know what your questions are
• Validate your data – understand errors
• Use analysis &/or analytics to provide feedback
• Start simply and learn as you go