When Data Is Empty: Lessons in Information Governance for Modern Football

I have spent 42 years observing football, from local pitches to the grand theatres of the Champions League. I once predicted one thing correctly and got everything else wrong — this article is about the part I got right. But today, I am not writing about a specific move or tactic. I am writing about what I consider the silent disease of modern football: emptiness in data and how we handle it. In 2026, when the pandemic halted football, I spent six full months studying expected goals (xG) models. I wrote a bold series proposing reducing match time to 80 minutes with precise second-by-second stoppage time. They called me crazy. But what I learned from that process was not about xG or match duration — it was about how we build trust from information. Without data, every analysis is just whispers in the wind. Imagine a match analysis report with no player names, no statistics, no match context. That is not analysis — that is a blank page. In an era where every touch is recorded, every pass is measured, accepting an empty report as a valid result is a betrayal of the sport itself. Morocco reached the World Cup 2026 semi-finals, I was 58, and football still had ways to surprise me. But what surprised me even more was how we handle misinformation. When an analysis article is handed to me with no source, no information, no data points — I cannot call that analysis. That is an empty promise. From my experience following matches, I have realised that football is not only played on the pitch but also in press rooms, in spreadsheets, and in algorithms. When an analytical system receives an empty article and returns an empty report, that is not a result — that is a warning. A warning that we are losing the ability to distinguish between real information and noise. They call me a controversialist. I consider that a job description. But even a controversialist like me knows: no idea is too wild to be tested — but every idea needs a data foundation to stand on. When that foundation is empty, the analytical building collapses. In football, we talk about 'homework' — about studying opponents, analysing strengths and weaknesses. Morocco had no magic. They had homework, and they did it thoroughly. But where does that homework begin? From data. From numbers. From information that is collected, verified, and analysed. Without those, every tactic is just guesswork. So what happens when an analytical system receives an empty article? It returns an empty report — and that is an honest result. But the real issue is: do we accept that emptiness as an answer, or do we look at it and ask: why is the input empty? That is the question worth asking. At 58, I have seen everything — but I have not yet seen what I am about to analyse. And perhaps the most important lesson I have learned in 42 years is: honesty in analysis begins with acknowledging what we do not know. An empty report is not a failure — it is a reminder that we need to go back, collect data, and start over. Football never forgives laziness in thinking. And I, at 58, am still learning never to accept an empty answer. Because football, like life, always has a story to tell — if we are patient enough to listen and honest enough to admit what we do not yet know.