What this project is really about
In the GOAT Lab, students step into the role of a sports analyst to answer one big question: Who is the Greatest Of All Time in a sport of their choosing? Drawing on real data, mathematical reasoning, and persuasive storytelling, students build their own analytical model and use it to defend a bold claim. This project is open to every student - not just sports fans. It uses the world of sport as a compelling context for exploring how data is collected, interpreted, weighted, and used to construct arguments. Students may choose any sport they are interested in - cricket, football (soccer), basketball, tennis, chess, esports, athletics, or any other - and select two to four top performers to compare. The project culminates in the GOAT Lab, an interactive showcase where students present their investigation, model, and verdict to an audience who can challenge their reasoning.
Sports arguments — who is the greatest, which team performs best under pressure, which strategies actually work — are usually decided by opinion and emotion. But hidden inside sports data are answers that could settle these debates with evidence.
You will learn sports analytics techniques, work with real data from cricket or another sport you love, and produce an original data-driven analysis — uncovering patterns, ranking performances, or challenging conventional wisdom about the game.
Sports analytics is a booming industry, transforming how teams are managed, players are evaluated, and games are played. The data analysis, statistical thinking, and storytelling skills you build here are valuable in sports, media, and marketing.
What you'll walk away knowing how to do
This project isn't about memorising facts. It's about building capabilities that transfer — to your next project, your next class, and beyond.
Learn from people who do this for a living
You're not learning from a textbook. You're learning from practitioners.
Kartik Kannan
Product leader with 16+ years in digital products, sports analytics, and data-driven decision making. Built platforms that operate at scale with complex, real-world datasets.
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