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SASDataScout - Data-Driven Soccer Player Scouting Solution

Started ‎09-29-2025 by
Modified ‎12-11-2025 by
Views 1,242

 

Team Name SASDataScout
Track Health care & Life Sciences 
Use Case

Data-Driven Soccer Player Scouting Solution

In modern soccer, talent identification and recruitment require accurate player comparison. Our solution integrates event data and advanced analytics to objectively evaluate performance and uncover similarities between players. Using SAS Viya and its data visualization and machine learning capabilities, it identifies tactical profiles that match specific team needs and enables clubs to explore player similarity and make faster, more reliable, data-driven recruitment decisions.

Technology SAS Viya, SAS Visual Analytics, SAS Studio, SAS Model Studio
Region EMEA (Italy, Europe)
Team lead

Paolo Curatolo

Team members

Paolo Curatolo

Selene Gerali

Filippo Giuliani

Virginia Nucci

Social media handles

Paolo Curatolo https://www.linkedin.com/in/paolo-curatolo/

 

Is your team interested in participating in an interview? Y
Optional: Expand on your technology expertise  

 

Jury Video

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Pitch Video

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Comments

Who doesn't love a good project about football?  Very cool project - and application of interactive dashboards and advanced analytics!

Awesome work by the SASDataScout team! Such a smart and creative way to bring data-driven decision-making into player scouting Using SAS Viya for this kind of real-world use case is seriously impressive - great job!

Version history
Last update:
‎12-11-2025 10:27 AM
Updated by:

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