Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
A Reconceptualisation of
                Traditional Volleyball Statistics to
               Provide a Coaching Tool for S...
Wednesday, 23 September 2009
Background
                   • Complex Data Collection for indoor
                          Volleyball for 30 years (+?)
...
Background
                   •      Many variations evolved, but generally based on
                          Baacke’s (1...
Setting
                   • Accounts for 30% of all ball contacts a
                          team makes in a match
     ...
Premise
                   • All other Statistics collected are dependent
                          on the quality of eith...
Wednesday, 23 September 2009
Premise
                   • All other Statistics collected are dependent
                          on the quality of eith...
Setting Premise
                   • Setting Statistics derived from existing data
                          can be object...
Fundamental Principles
                   • The objective of the set is for the
                          subsequent Spike...
Process
 Outcome                       Spike     Pass    Set Rate
                                 3        1         12
 ...
Set Rate
                   • Any Rating based system for Spiking and
                          Passing can generate a Set...
Data
                   • Pre-existing
                   • 159 matches of Beach Volleyball from
                         ...
Rate when
        100%
                               Set (match) WON
          90%
          80%
          70%
          ...
Distribution
                           Won    8       Lost   8




Wednesday, 23 September 2009
Conclusion
                   • No change is required for coaches’ data
                          collection processes
   ...
Upcoming SlideShare
Loading in …5
×

A Reconceptualisation of Traditional Volleyball Statistics

1,096 views

Published on

A paper presented at IACSS09 by Alexis Lebedew (Performance Analysis, AIS(

Published in: Sports, Education
  • Be the first to comment

A Reconceptualisation of Traditional Volleyball Statistics

  1. 1. A Reconceptualisation of Traditional Volleyball Statistics to Provide a Coaching Tool for Setting Alexis Lebedew, MAppSc (Sports Coaching) Wednesday, 23 September 2009
  2. 2. Wednesday, 23 September 2009
  3. 3. Background • Complex Data Collection for indoor Volleyball for 30 years (+?) • Computerised Data Collection for indoor Volleyball since mid 1980s (-?) • Computerised Data Collection for Beach Volleyball since mid-late 1990s (-?) Wednesday, 23 September 2009
  4. 4. Background • Many variations evolved, but generally based on Baacke’s (1981) 4 outcomes for each action • Action results in direct success • Action gains or preserves the initiative of the play • Action leads to the loss of initiative of the play • Action results in a loss of point Wednesday, 23 September 2009
  5. 5. Setting • Accounts for 30% of all ball contacts a team makes in a match • The only skill that doesn’t have an established form of statistical analysis for data collected in real time Wednesday, 23 September 2009
  6. 6. Premise • All other Statistics collected are dependent on the quality of either the previous or subsequent play • Generally by the opposition Wednesday, 23 September 2009
  7. 7. Wednesday, 23 September 2009
  8. 8. Premise • All other Statistics collected are dependent on the quality of either the previous or subsequent play • All other Statistics collected are objective based on the outcome, but still flawed Wednesday, 23 September 2009
  9. 9. Setting Premise • Setting Statistics derived from existing data can be objective, but still flawed • The only difference is that all it is the play of the opposition on which all other skills are dependent Wednesday, 23 September 2009
  10. 10. Fundamental Principles • The objective of the set is for the subsequent Spike to be a kill • By combining with Pass Rate, we can add context Wednesday, 23 September 2009
  11. 11. Process Outcome Spike Pass Set Rate 3 1 12 Excellent 3 2 11 3 3 10 2 1 9 Good 2 2 8 2 3 7 1 1 6 Average 1 2 5 1 3 4 0 1 3 Poor 0 2 2 0 3 1 Error 0 Wednesday, 23 September 2009
  12. 12. Set Rate • Any Rating based system for Spiking and Passing can generate a Set Rate using the same principles Wednesday, 23 September 2009
  13. 13. Data • Pre-existing • 159 matches of Beach Volleyball from World Tour competition or above • Sets calculated • 8190 sets analysed Wednesday, 23 September 2009
  14. 14. Rate when 100% Set (match) WON 90% 80% 70% 60% 50% 40% 30% 20% 10% 0% 9+ 8.5+ 8+ 7.5+ 7+ 6.5+ 6+ Wednesday, 23 September 2009
  15. 15. Distribution Won 8 Lost 8 Wednesday, 23 September 2009
  16. 16. Conclusion • No change is required for coaches’ data collection processes • Set Rate of 8 is a good objective target for setters • Ultimately coaches will decide if it is a useful tool Wednesday, 23 September 2009

×