Blocking analysis

Analysis of team and individual blocking performance from DataVolley files. See the 'About' tab for details on methods. Contact: .

News and updates

February 2019

- Example data set added, other minor updates

August 2018

- Additional detail added to the blocking report


Blocking reports

See the 'About' tab for details on how these reports are compiled.

here.

The subscription fee is $12 AUD per month (approximately $9 USD or €8 EUR at current exchange rates).

Disclaimer: Use at your own risk. While every effort has been made to make the reports accurate, no warranty is given. Science Untangled and this application have no affiliation with or endorsement from DataVolley.

The results will be logged to help improve the app. Your DataVolley file (if uploaded) will not be kept.

Blocking report

The blocking analysis follows a number of steps:

  1. The position of each player when they are in the front row is established according to their role. It is assumed that outside hitters block in position 4, middles in 3, and opposites/setters in 2. The exception to this is when the blocking team is receiving with the setter in position 1, in which case the opposite blocks in 4 and the outside in 2.
  2. The blockers that are expected to participate in the block on a given attack is calculated based on the scouted attack combination code and start zone of the attack. For example, for a high attack from position 4 (attack combination code V5) the middle and position-2 blockers would always be expected to block, and the position-4 blocker would be expected to join (to make a triple block) about half the time. For a faster-tempo outside attack (attack combination code X5) only the middle and position-2 blockers would be expected to block.
  3. Based on this expected block participation, the number and types of block attempts are calculated for each blocking player, and player statistics (block kills, opposition attack percentage and efficiency, etc) are calculated.

This approach can be more informative than traditional blocking stats (simple counts of block kills or touches) because it gives a more accurate reflection of the participation of an individual blocker, including in double- or triple-blocks. It can reveal blockers that have an influence on the opposition's attack, even if that influence does not show itself as direct block kills or touches.

The accuracy of the blocking report for your particular data set will depend on how closely the blocking patterns of your team follow the assumed blocking patterns. Also note that only "standard" attack combinations (the DataVolley defaults) are generally recognized. Unknown codes will be flagged during the reporting.

Customized reporting

Variations to these assumptions are possible if your team does not follow the above patterns. For example, the position of each blocker can be inferred from the data, rather than assuming the blocking positions described above. For this or other functionality (e.g. recognizing your custom attack combination codes, or bulk processing of multiple files), contact .

Contributors

Mark Lebedew , head coach of the Australian national men's team and Aluron Virtu.

Example data set

The '2017-18 PlusLiga' example data set (16 matches from that season) was kindly provided by Mark Lebedew.


Version: , using datavolley version 0.8.0.9999