Turning Claude into a Football Opposition Analyst

Session Track: Data Intelligence

Session Time: 02:30 pm - 03:00 pm November 6

Session description

Analysis in sports is changing. Advanced statistics like Wins Above Replacement (WAR) or Expected Goals (xG) are making their way into TV punditry and conversations in bars. But the people who need the information the most, ex-professionals and coaches without a background in statistics, often shun it. Not because they don't see the value but because the language is impenetrable, the underlying data is overwhelming, and the insights are difficult to translate. Generative AI provides an opportunity to bridge the gap. In this talk, I'll share how I used context engineering, the craft of shaping what information an AI sees and how it understands it, to turn a general-purpose model into a football opposition analyst. By providing structured access to team and player performance event data as context, I lowered the barriers so anyone can turn a sea of numbers into clear, actionable insights. This talk will cover: - What context engineering is and why it matters for making AI useful in the real world - How structured context turns raw sports data into domain-specific insights - Real examples of AI-generated football analysis in action