Team Liquid: Enhancing esports analytics with AI agents
Read how Team Liquid used SAP solutions to speed up the process of pulling data from existing sources and enable nontechnical users to self-serve and answer questions using natural language. Download the DocumentTeam Liquid: Enhancing esports analytics
with AI agents
Team Liquid is a globally recognized esports organization founded in 2000. As the most
successful esports team in the world, Team Liquid has earned over US$49 million in prize money
and secured more than 140 major titles. With over 190 elite athletes competing in around 20
game titles, Team Liquid continues to represent excellence in esports on the global stage every
day.
Team Liquid needed to combine data from multiple sources to answer ad hoc questions on
League of Legends, a very data-intense and complex game. This often slowed decision-making
and limited real-time strategy adjustments. To address this, the company needed to speed up
the process of pulling data from existing sources and enable nontechnical users to self-serve and
answer questions using natural language.
Picture Credit | Team Liquid, Santa Monica, California. Used with permission.
with AI agents
Team Liquid is a globally recognized esports organization founded in 2000. As the most
successful esports team in the world, Team Liquid has earned over US$49 million in prize money
and secured more than 140 major titles. With over 190 elite athletes competing in around 20
game titles, Team Liquid continues to represent excellence in esports on the global stage every
day.
Team Liquid needed to combine data from multiple sources to answer ad hoc questions on
League of Legends, a very data-intense and complex game. This often slowed decision-making
and limited real-time strategy adjustments. To address this, the company needed to speed up
the process of pulling data from existing sources and enable nontechnical users to self-serve and
answer questions using natural language.
Picture Credit | Team Liquid, Santa Monica, California. Used with permission.
“Thanks to Joule Agents, even nontechnical users such as our
players and coaches can now ask for the data they need using
natural language queries. What once took hours of manual
work is now available instantly, allowing everyone to access
real-time insights that drive our strategies and enhance team
performance.”
Haitham Algbory, Head of Analytics and Data, League of Legends, Team Liquid
Team Liquid
Santa Monica, California
www.teamliquid.com
Industry
Media, sports, and
entertainment
Employees
250 employees as well as
170 players and other
talent
Products and services
Professional esports teams
Featured solutions
SAP BTP, SAP HANA Cloud,
and Joule Agents
120
New casual users of the
data thanks to natural
language queries
1 billion
Data points available to
help create actionable
insights
Before: Challenges and opportunities
• Need to manually query data from multiple data sources to answer comprehensive questions, leading to time-
consuming workflows and delays in decision-making
• Difficulties for nontechnical users such as players and communications and marketing teams in retrieving
insights on demand due to their limited technical knowledge in querying the database
Why SAP
• SAP Business Technology Platform (SAP BTP) and SAP HANA Cloud, providing a robust, scalable data
infrastructure that enables fast processing and smooth integration, maximizing the esports center’s analytical
capabilities
• Joule Agents, streamlining analytics, enabling both analysts and nontechnical users to request insights in
natural language, and eliminating the need for manual data retrieval
After: Value-driven results
• Significant time savings for analysts, who can instantly pull and combine statistics
• Ability of casual users such as players to access meaningful insights more easily with AI-driven queries
• Complex data comparisons that enhance team strategy and enable players, coaches, and staff outside the
performance team to make data-backed decisions in real time
Unlocking instant insights from large data sets with Joule Agents
98401enUS (25/07) © 2025 SAP SE or an SAP affiliate company. sap.com/terms-of-use
players and coaches can now ask for the data they need using
natural language queries. What once took hours of manual
work is now available instantly, allowing everyone to access
real-time insights that drive our strategies and enhance team
performance.”
Haitham Algbory, Head of Analytics and Data, League of Legends, Team Liquid
Team Liquid
Santa Monica, California
www.teamliquid.com
Industry
Media, sports, and
entertainment
Employees
250 employees as well as
170 players and other
talent
Products and services
Professional esports teams
Featured solutions
SAP BTP, SAP HANA Cloud,
and Joule Agents
120
New casual users of the
data thanks to natural
language queries
1 billion
Data points available to
help create actionable
insights
Before: Challenges and opportunities
• Need to manually query data from multiple data sources to answer comprehensive questions, leading to time-
consuming workflows and delays in decision-making
• Difficulties for nontechnical users such as players and communications and marketing teams in retrieving
insights on demand due to their limited technical knowledge in querying the database
Why SAP
• SAP Business Technology Platform (SAP BTP) and SAP HANA Cloud, providing a robust, scalable data
infrastructure that enables fast processing and smooth integration, maximizing the esports center’s analytical
capabilities
• Joule Agents, streamlining analytics, enabling both analysts and nontechnical users to request insights in
natural language, and eliminating the need for manual data retrieval
After: Value-driven results
• Significant time savings for analysts, who can instantly pull and combine statistics
• Ability of casual users such as players to access meaningful insights more easily with AI-driven queries
• Complex data comparisons that enhance team strategy and enable players, coaches, and staff outside the
performance team to make data-backed decisions in real time
Unlocking instant insights from large data sets with Joule Agents
98401enUS (25/07) © 2025 SAP SE or an SAP affiliate company. sap.com/terms-of-use