Volleyball setting

See the 'About' tab for more information about this app. Contact: .

See Mark Lebedew's video tutorial on using this app, and also an examination of Benjamin Toniutti's setting patterns.

Set distribution

Dataset selection

You can also upload a file and it will be added to the datasets list.

1. Options


2. Data filters (optional). Use these to select particular data of interest.


3. Subplot by (optional). One plot will be produced for each unique value of this variable


4. Results. Left-click or click-and-drag on the court plot to choose setter or receiver position.

Hover here to temporarily hide heatmap


Data summary. This table gives a summary of the active data set (i.e. all of the data, after applying any team and/or player selections in the "Dataset selection" panel on the left).


Match-by-match variability

Your uploaded files are processed and combined into a working data set. The output from the processing script and summaries of the data set are shown in this section. It is worth checking this log to make sure the processing went OK.

In particular, you will want to ensure that the team_id and player_id values are consistent across different DataVolley files. The team_id and player_id values are used to uniquely identify each team and player, and so if a player has different identifiers in different files, the app will think that these are different players.


Data processing log

The output from the processing script is shown below. It is worth checking this log to make sure the processing went OK.

Teams summary

The list of team names and team_id values. If a team appears more than once, it likely has different team_id values in different files.

Matches summary

A summary of the matches in this data set. This might help find duplicate or missing matches.

Players summary

The list of player names and player_id values. If a player appears more than once, they likely have different player_id values in different files.

here.

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

About this app

This app allows the setting patterns in a data set to be explored interactively. Coaches can use this to look for patterns in a team or player's setting choices under particular circumstances (e.g. when the serve goes to particular areas of the court, or late in a close set, or off a perfect transition pass.)

The app can make use of two forms of position information: zones (1-9, the standard DataVolley zones) or court coordinates. Be aware that not all data sets have been scouted with complete position information. This app variously uses the receiver position, setter position, and set destination (attacker position) information.

Notes:
The various percentages shown in the figure and table are calculated in slightly different ways.

  1. The table gives percentages by attack code (X5, V8, etc). If the data set has been scouted without attack codes, then the percentages will be by attack start zone. If this information is also missing, the table will be empty.
  2. For the text across the top of the plot:
    • all first-tempo attacks, regardless of origin, are reported as the "1T" percentage
    • the other percentage figures across the top of the plot give percentages of left-side attacks (from zones 4, 7, or 5), middle attacks (zones 3, 8, 6), and right-side attacks (zones 2, 9, 1). These are based on the scouted start zone of the attack, and exclude all first-tempo attacks.
  3. The percentages on the court plot itself are only shown for heatmaps by zone, and give the percentages associated with attacks from that zone, regardless of tempo.

Privacy and disclaimer: Your DataVolley files remain your property and we do not use them for any other purpose, nor share them anywhere.

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.


Contributors

Mark Lebedew , head coach of the Australian national men's team and Aluron Virtu. See Mark's video tutorial for this app.


Example data sets

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


Version: , using datavolley version 0.9.1