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.
You can also upload a file and it will be added to the datasets list.
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.
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.
The output from the processing script is shown below. It is worth checking this log to make sure the processing went OK.
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.
A summary of the matches in this data set. This might help find duplicate or missing matches.
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.
The subscription fee is $12 AUD per month (approximately $9 USD or €8 EUR at current exchange rates).
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.
The various percentages shown in the figure and table are calculated in slightly different ways.
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.
The '2017-18 PlusLiga' example data set (16 matches from that season) was kindly provided by Mark Lebedew.
Version: , using datavolley version 0.10.5