Nine N/A Columns: When Football Analysis Has to Learn to Say “Insufficient Information”

Seven in the morning in Shanghai, I open my inbox and find a nine-section analysis report. Title: N/A. Source: N/A. Article type: unclassified. Information points: empty. Tactical table, financial structure table, risk table, industry transmission table — all of them collapse into a single value: insufficient information.

A newcomer would call the page useless. I call it an ordinary shift and a professional test.

The report carries seven input fields: title, source, article type, one-sentence summary, author stance, article purpose, information points. The first six read N/A. The seventh is entirely blank. Two secondary fields, entities involved and time sensitivity, hold no value either. The failure sits in the upstream reading stage, not in the reasoning stage. The familiar trap: an operator sees an empty table and presses “run again”, when the problem is a missing source URL.

At the second layer, everything collapses in sequence. No club means no tactical system. No player means no age curve and no contract year. No publication date means the event cannot be placed on the season calendar — no way to tell whether this is the opening sprint, the congested winter block, or the run-in. No club name means no subject against which financial fair play can be tested. Nine sections, none of them with a subject.

Across eleven years of commentary and seven years of contract tactical briefings, I have signed off on no fewer than four thousand analyses. I have sent back more pieces for missing sourcing than for typos. The reason is purely economic: a typo makes a reader laugh, a fabricated conclusion makes a reader place a bet.

Broadcast rights are a marriage nobody likes, but everybody waits to see the paperwork. A broadcaster pays for the package and then has to fill the airtime. A major tournament produces more than sixty matches in six weeks; multiplied by dozens of platforms and hundreds of news sites, the number of previews required per match runs into four digits. The writer has forty minutes. The input table has seven cells, three of them empty. The fastest route to six hundred words is to fill three empty cells with something that sounds plausible.

A lesson from one Excel column in 2026

In July 2026, during the derby between Shanghai SIPG and Guangzhou Evergrande at Hongkou Stadium, I misnamed Hulk three times in the first half. First Rolf, then Hulk Hogan. The forums mocked me all night. I did not go on air to explain. I reopened the tape, counted every touch, every pass, every shot from the Brazilian forward, then built an Excel table to cross-check his movement against the opposing back line.

The lesson was not “you need data”. The lesson was that I found an empty column in my own table: touches inside the penalty area, missed because the camera did not follow in time. I had two options — leave it blank and note why, or fill it with feeling. I left it blank.

The first time I was wrong on the big screen, the audience forgot. I did not.

The difference between “none” and “unknown” is the entire foundation of sports data analysis, and almost nobody in the industry says it out loud. A scout opens a database and sees a defender’s sprint count logged as 0. He concludes the player is lazy. In reality that league may never have collected the metric. The player is discarded because of a cell that never existed — and the cost lands on a nineteen-year-old.

The real danger sits in the status label. A blank record marked “completed” flows into an editorial dashboard, where empty values get coerced into defaults. No risk flag becomes “zero risk”. No injury data becomes “fit”. A forged medical certificate, printed by a system that never lied — it simply recorded the wrong state.

The small-club-beats-giant fairy tale runs on the same mechanism. One win by a lower-division side over a heavyweight is a sample of one. Beautiful story, thin data, and the financial gap behind it is forgotten within three days.

Transfers, in the end, are the story of a buyer choosing the wrong reason to be right. A transfer item is worth reading only when three things can be identified: the outlet, the byline, the publication date. Miss one and credibility drops to rumour tier, and every financial analysis built on top — fee, amortisation across the contract term, sell-on clause — is decoration.

The Premier League has priced misrecording in points. Everton and Nottingham Forest were docked points for breaching Profit and Sustainability Rules; Manchester City face 115 charges. Those files survive because they contain balance sheets, dates and signatures. None of them was built on feeling.

In May 2026, when global football stopped, I lost my live commentary contract. I stayed home, pulled movement data from StatsBomb, wrote Python to map Liverpool’s pressing patterns in 2026–20. When the Bundesliga returned in June, I predicted results using expected goals and sprint counts. I got 11 of 14 right. I published all 14, with the data conditions behind each one, because the three misses taught me the most. A licensed betting platform in Asia paid me 1,200 USD a month for a weekly tactical briefing.

The summer of empty stadiums — I recorded the days without roaring, and found a different sound.

The industry’s wrong belief

The industry believes more data produces better analysis. That was true in 2026, when clubs still lacked sensors. It is false now, when the bottleneck has shifted from collection to declaration. An analysis department with forty metrics and no procedure for flagging blanks is worse than one with twelve metrics and a clear status column.

Short-term heat rewards filling. Long-term value rewards leaving blank. A site that publishes a full tactical preview forty minutes after a transfer breaks wins today’s clicks and loses next season’s right to be believed. A newsroom willing to print “insufficient data” loses today’s clicks and keeps the hardest asset in the trade: the right to be cited.

I stand between revenue and emotion, and I learned that whoever holds both is the one who wins.

What remains after the empty table

This morning’s report will not be published. It goes back to stage one, with the original URL and publication date attached, and runs again. At 49, I am still rewriting the script of my own trade. Not to be different, but to survive. This round of rewriting is learning to say “I don’t know” before saying anything else, and saying it where the audience sees it first.

Next time a tactical preview appears forty minutes after a transfer rumour, count its input cells. If the author cannot tell you how many information points they had, the reader cannot know what the piece is standing on.