Replace repetitive, manual tasks
so that analysts can apply their
expertise in a better way.
Shorten the time required to
compile analyses, and focus on tasks
adding higher value.
Create insights using custom
parameters with a specific focus on
certain opponents, matches or
players depending on your actual
needs – it can be one game or a full
season with particular focus on a
single player or a whole team.
Directly show them to your players.
No need to create charts using a
separate visualization software.
Create your own visualizations
without relying on the help of IT
specialists.
No specialized IT or quantitative
knowledge required, analysts from any
background can quickly use it.
Choose the matches you want to use from the list.
Choose the insight you want to use from the list.
Set the parameters to generate the visualization(s).
Data alone isn’t enough: you need analytics to interpret it using clear visualizations. That is where built-on AI models become very useful.
They measure both the quality of match situations and player decisions, and look for patterns in player and team actions. To achieve that deep learning and advanced clustering algorithms are being applied.
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