Volleyball team reports
See the 'About' tab for more information about this app. Contact: .
Dataset selection
These reports are generally quite slow to generate. If you just want to see an example, try this one for PGE Skra Bełchatów from the 2017-18 PlusLiga example data set.
VBStats users - interested in an extended free trial on your own data?
You can also upload a file and it will be added to the datasets list.
Match filter:
Report settings
Options
Serving
Reception
Setting
Attacking
Attacks to show on charts:
Blocking
News and updates
January 2020
- experimental: option to report on an individual player
November 2019
- extended options for attack and block sections, heatmap style attack charts. Thanks to Michael Mattes for input
- match filter
September 2019
- serve charts by opposition rotation
- blocking section added
- smoothed heatmap option for attack charts
August 2019
- middle hitter attack report added to attack section
June 2019
- improvements for VBStats data
May 2019
- performance improvements
April 2019
- updated serve, reception, team comparison sections
February 2019
- set distribution by setter call
January 2019
- new app! Note that this app is still under development, so things might change or break. Suggestions for improvements are welcome
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 works with data files from the DataVolley scouting software. Users have full control over their data sets, and reports can be updated as new match files are added (e.g. as the season progresses).
A club's files can be uploaded and maintained by one or more people (say, coaches or scouts), and access provided to coaches, players, and technical staff.
Privacy and disclaimer: The results will be logged to help improve the app. 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.
- Michael Mattes, GCDW Herrsching Volleyball Bundesliga
Example data set
The '2017-18 PlusLiga' example data set (16 matches from that season) was kindly provided by Mark Lebedew.
The 'MEVZA Men 2013' example data set was obtained from the Middle European Volleyball Zonal Association website.
Note that these MEVZA files were scouted with no start or end zone information on any play. Random start and end zone values have been added to some plays, purely for the purpose of demonstrating the functionality of this app. But they're random, so they don't actually mean anything.
Version: , using datavolley version 0.10.5