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+# Football Betting – Big Data & Power BI Project
+
+This project explores football match outcomes through a data-driven lens, using large-scale datasets and probabilistic modeling (Poisson distribution, Bale method, etc.) combined with Power BI dashboards. Although not AI-based, it reflects the analytical structure and reasoning discipline that later informed my AI evaluation projects.
+
+### Core Idea
+Historical match data was cleaned, structured, and visualized to test probability-based outcome predictions and pattern recognition. The project demonstrates data preparation, transformation, and storytelling in a fully no-code environment.
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+### Why It Matters
+Strong evaluator work begins with analytical thinking. This project establishes a foundation of logic, statistical reasoning, and attention to detail — essential for quality assurance and evaluation workflows in AI.
+
+**Tools:** Power BI, Excel, DAX, Power Query  
+**Methods:** Data cleaning, probability modeling, visualization, reporting  
+**License:** MIT  
+**Author:** Károly Boczka  
+**Full repository:** [View on GitHub →](https://github.com/karolyboczka/football-betting-bigdata-powerbi)