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The modern game is more data-driven than ever, and football clubs increasingly rely on analytics to drive tactical decisions, player scouting, and performance optimization.
In this webinar, we’ll explore how Elastic and Kibana can be used to analyze Champions League player performance using real match data. From expected goals (xG) visualizations to ML-powered finishing efficiency insights, discover how Elasticsearch transforms raw football events into meaningful analysis and automated intelligence.
- Learn how to ingest Champions League shot data including xG, shot locations, players, and match events into Elasticsearch using flexible pipelines.
- Player finishing efficiency (Goals vs xG)
- Shot maps and chance creation zones
- High-value scoring opportunities
- Hot streaks (players outperforming their xG)
- Underperformance (players failing to convert big chances)
- Sudden changes in attacking effectiveness
- Team chance creation profiles
- Player shot selection tendencies
- Match-to-match performance evolution
- Set up alerts to identify unexpected performance drops or spikes in xG, enabling real-time insights a club analyst would monitor.
Football analysts, data enthusiasts, and technical users will learn how to:
- Transform raw match events into structured, searchable datasets
- Build dynamic shot maps and xG dashboards inside Kibana
- Use anomaly detection to measure player form and finishing quality
- Extract tactical insights similar to professional football analytics teams
- Leverage Elastic as a real analytics engine for sports intelligence
Speakers
Nassim Elkharroubi is a Pre-Sales Engineer at Hyperflex, where he helps organizations design and optimize Elastic-powered solutions across search, observability, and security. With a strong foundation in software development and data analysis, he combines technical depth with a clear understanding of customer needs to deliver scalable, high-impact architectures. His international background and hands-on experience with emerging technologies enable him to bring a global, analytical, and solution-oriented perspective to every engagement.
Dhruvi Khairikar is a highly skilled Elastic Engineer and Elastic Certified Observability Engineer, specializing in DevOps, cloud solutions, and software engineering. As a key contributor to Hyperflex, she focuses on Elastic Stack (ELK), AWS architecture, performance tuning, and scalable observability solutions.