When the Analysis Is Empty: Football Needs People Brave Enough to Say “Not Enough Data”

In November 2026, I sat alone in row twelve of the Sir Alex Ferguson Stand at Old Trafford on an afternoon with no match. Paul, a 58-year-old cleaner who had swept those aisles for twenty years, told me that at night he still hears shouting echoing back from the empty rows. I turned on my recorder and let it run for forty minutes. Most of that time was silence. When I cut the film, I kept the silence intact, no score, no narration. An empty seat still has someone sitting in it — we simply no longer hear their applause.

Six years later, a young editor sent me a nine-section football analysis. It had subheadings, tables, a risk matrix, and even a glossary of technical terms at the end. Every cell carried the same sentence: “insufficient information to assess.” Attached was a short question: “How do you handle a piece with no data?”

That question was worth more than all nine sections.

An industry that does not permit silence

In the summer of 2026, the World Cup expands to 48 teams across the United States, Canada and Mexico. The volume of sports content produced in those six weeks will exceed the entire output of the 1990s. Every match, every open training session, every team flight becomes raw material for thousands of articles competing for search algorithms.

In that machinery, a gap is treated as a fault. No numbers means numbers must be invented. No quotes means quotes must be inferred. No injury news means writing that “the player is being assessed over the coming days.” I once worked at a newsroom where an editor told me plainly: “Don’t leave a single cell blank.”

Football does not run like a spreadsheet, and the 2026/24 season proved it. The Premier League docked Everton 10 points for breaching Profit and Sustainability Rules, reduced to 6 on appeal; Nottingham Forest were deducted 4 points. Around the same period, Manchester City faced 115 charges announced in February 2026. These are sourced facts with dates. Football analysis does not lack data. It lacks honesty about what data it does not have.

Three times a gap was misread

The first was in an interview room. In 2026, I sat with Phil Foden, then 17, after the FA Youth Cup final in which he scored one goal and assisted two. The conversation lasted 34 minutes. He spoke 12 sentences. Most of them were about the team bus home. The desk asked me to rewrite it as “rising young star” and strip out every trace of his awkwardness. I wrote it, and it felt like lying with a truth that had been sanded smooth.

Six weeks later, on a rainy Manchester evening, I understood something else. Before anyone becomes a name, they are only a stride. Foden’s awkwardness at 17 carried information; it was not a defect to be deleted. It showed he had not been trained to speak, that his centre of gravity was still on the pitch, that the club had not yet built him a media shell. Removing that detail removes the only thing worth printing.

The second was in Moscow. On 11 July 2026, the World Cup semi-final, England against Croatia at the Luzhniki Stadium. In the 109th minute, Mario Mandžukić scored. I could not cry straight away. My whole body froze, and I stayed in my hotel room for six days, walking along the Moskva River at night, writing nothing, answering no messages. When the editor called, I filed a 2,000-word piece titled “The Days After the Whistle.” It was shared more than forty thousand times.

What I learned was not in the scoreline. In Moscow that night, I learned that the final whistle is only a rest. It does not end the match. It moves the match into another state, where the things that never make the record — the handshake, the downward glance, the breathing in the dressing room — become the main text.

The third brought me back to that nine-section analysis. Its author was not wrong. He was doing exactly what this industry has never taught anyone: setting out the structure of a question before an answer exists.

Based on my experience watching matches across the four English divisions and eight World Cups, I see a repeating pattern. The analyses criticised most harshly are rarely wrong in their conclusions. They are wrong in their filling. An xG table with no source, a PPDA scale borrowed from another league, a dressing-room judgement built on three social posts — all are ways of filling a blank cell. Accuracy falls, but the feeling of certainty rises. And that feeling is what algorithms reward.

In documentary work, I call this the empty-seat method. Put the camera where no event is happening, and let the audience hear the echo of the past for themselves. In football analysis it works exactly the same way: leave blank what must stay blank, and point precisely to what is missing.

Disciplined emptiness

The most counterintuitive thing in this trade is that an analysis with sixty cells reading “insufficient information” is more useful than one with three invented conclusions. But it is less appealing. In a market that pays for appeal, usefulness loses every time.

In England, data platforms value players with algorithms built on minutes played, age and league quality. A deal like Enzo Fernández’s move to Chelsea in January 2026 for £106.8m is priced to the nearest hundred thousand. Its real effect on a collective has no unit of measurement. Two things sit side by side: a very clear number and a very large gap. The industry usually chooses to tell the number.

A good analyst knows which side of that line they stand on. In the internal scouting documents of several Premier League clubs, I have seen a section titled “what we do not yet know.” It does not exist for decoration. It exists to remind the reader that every model has an edge. Clubs spending hundreds of millions of pounds on those models still keep that section in every report.

The author of the nine-section analysis kept the edge. The problem is not him. The problem is that we have taught readers that silence is a sign of incompetence. Once readers believe that, the honest writer will always lose to the fast writer, and both will lose to the writer willing to invent.

What remains

A good match is never fully told; it only waits for someone quiet enough to hear it. The same is true of an analysis. When there is no data, the kindest thing a writer can do for the reader is to say there is no data, then state precisely what is missing, where, and what it would take to fill it.

Vietnamese football is entering a cycle in which every World Cup qualifier drags hundreds of analyses behind it within hours. The pressure to fill the cells will be enormous. It will take a few more people willing to leave them blank.