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Author: Admin | 2025-04-28
1.6 terabytes of game data from past games. The result is an intelligent draft bot trainer, an application that runs on SAP BTP, visualizes the predictions, and provides Team Liquid with the current winning probability after each pick and ban. Relying on SAP BTP and SAP HANA Cloud, SAP Business AI provides Team Liquid with the opportunity to further improve its game by leveraging data to make more informed decisions.The AI draft tool from SAP really takes our analysis to the next level. With generative AI we are now able to reduce our match-preparation time significantly and save up to 10,000 hours of manual work annually.Steve ArhancetCo-CEO, Team LiquidTransforming data into insights: Redefining the esports landscapeEsports organizations generate massive amounts of data from gameplay footage. While valuable, analyzing this data manually is labor intensive and limits the ability to extract actionable insights needed to optimize player performance and develop winning strategies. Team Liquid needed a solution to transform this data overabundance into an arsenal of competitive intelligence.At the core of this strategy lies SAP HANA Cloud, a powerful in-memory database that facilitates the rapid processing and analysis of massive datasets. This empowers Team Liquid’s analysts to delve into hours of gameplay data, meticulously dissecting player performance, identifying team strengths and weaknesses, and even pinpointing areas where communication breakdowns occur. This granular level of insight equips coaches with the tools to develop individual training strategies and foster a data-driven culture of continuous improvement.Team Liquid’s commitment to data analytics exemplifies how organizations can leverage technology to gain a strategic advantage. By transforming data into actionable insights, the team is redefining esports and pushing the boundaries of competitive excellence.Data wins the talent game: Team Liquid’s scouting advantage with SAP solutionsTraditional scouting methods in esports often rely on subjective evaluations and limited data points.
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