As a data scientist from Imperial College London, I analyzed 70+ La Liga matches using xG, defensive pressure indices, and expected goals. In this cycle, underdog teams outperformed expectations—especially in high-stakes away games. Here’s what the numbers revealed: low xG teams with elite defending won key fixtures. This isn’t luck—it’s logic.

As a data scientist based in London, I analyzed Black Bulls’ latest 1-0 victory over Dama Tora—using xG models, shot conversion rates, and defensive efficiency. Despite a lack of goals, their discipline and structure reveal deeper tactical strength. This is more than just a win; it’s evidence of smart football built on analytics. Join me as I dissect the numbers behind the silence on the scoreboard.

As a data scientist with a passion for football analytics, I dissected Black Bulls’ recent performances in the Moçambique Premier League. Two matches, two very different outcomes—1-0 win over Dama-Tola, and a tense 0-0 draw with Maputo Railway. What do the numbers really say about their defensive resilience and offensive efficiency? Let’s break down the xG models, key moments, and what this means for their playoff push.