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A Reconceptualisation of
                Traditional Volleyball Statistics to
               Provide a Coaching Tool for Setting




                               Alexis Lebedew, MAppSc (Sports Coaching)

Wednesday, 23 September 2009
Wednesday, 23 September 2009
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
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
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
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
Wednesday, 23 September 2009
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
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
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
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
Set Rate
                   • Any Rating based system for Spiking and
                          Passing can generate a Set Rate using the
                          same principles




Wednesday, 23 September 2009
Data
                   • Pre-existing
                   • 159 matches of Beach Volleyball from
                          World Tour competition or above
                   • Sets calculated
                   • 8190 sets analysed


Wednesday, 23 September 2009
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
Distribution
                           Won    8       Lost   8




Wednesday, 23 September 2009
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

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A Reconceptualisation of Traditional Volleyball Statistics

  • 1. A Reconceptualisation of Traditional Volleyball Statistics to Provide a Coaching Tool for Setting Alexis Lebedew, MAppSc (Sports Coaching) Wednesday, 23 September 2009
  • 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. 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. 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. 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
  • 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. 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. 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. 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. Set Rate • Any Rating based system for Spiking and Passing can generate a Set Rate using the same principles Wednesday, 23 September 2009
  • 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. 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. Distribution Won 8 Lost 8 Wednesday, 23 September 2009
  • 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