Nine Dimensions, Nine N/As: How Football Reporting Lies When the Data Is Empty

October 2026, Kochi. Six match days at the FIFA U-17 World Cup, age eighteen, first year of a BSc. I was logging sprint counts and recovery runs. India lost all three group games — 0-3 to the USA, 1-2 to Colombia, 0-4 to Ghana. My sheet had thousands of filled cells and not one of them said whether the team had played well or badly. That night I thought it was my failure. Nine years on, I think it was the most honest thing I have ever produced.

Now look at the bigger brother of that sheet. A nine-dimension analytical framework — tactical and technical, club finance and transfer market, results and public-opinion cycle, league landscape, rules and governance, management and dressing room, risk profile, media narrative, industry transmission. All nine boxes return the same answer: "N/A — insufficient information." Under each one, the same stated reason: no formation in the input, no xG, no fee, no standings, no names.

Here is my first claim, and it is an unpleasant one: a document that says N/A nine times is worth more than nine paragraphs stuffed with confidence on an empty input. I ran the numbers at 3 a.m. so you don't have to, so let's audit the N/A.

Start with the field the whole structure hangs from: Information Points — the atomic facts extracted from a source article. Everything else is its offspring. Which club, which player, which competition — the Entities Involved — come from it. Time sensitivity is set by it. Source quality is graded against it. Empty Information Points means unresolvable Entities, and eight of the nine dimensions shut themselves.

Now read the part that talks loudest. It is not in any conclusion. It is in the metadata. Article Type: "Unclassified." Domain Label: "football" — lower case, unqualified. An extraction that had actually read text would have populated Entities Involved; a team, a competition, a date, something. That label says the pipeline ran a template, not an extraction. Indian football does this exact shape of work every week. We just call it a preview, a trend piece, a take.

Begin with the dependency chain. Nine dimensions rest on Information Points; empty it and the whole upper floor is a facade. In Indian football the local name for Information Points is match-level event data — who stood where, who pressed how often, who tired when. 2026 was the only window in which this country held FIFA-grade event coding, because the tournament brought its own machinery. The tournament left, the coders went home, and the ISL's public data layer settled at goals and assists. Whatever pressing-intensity argument you walk into, ask first who measured the PPDA.

The more expensive fault is silent-null propagation, and it is the highest-rated risk in the document: High. Empty input flows downstream and puts on clothes along the way. This is not theory. India's FIFA ranking has lived in the 100–130 band for a decade. That is a populated field, public, refreshed every month. And yet "closing on Asia's elite" gets said at every second seminar. The input was never filled; the output was confident anyway. That is the silent null — the failure mode that makes no noise.

Then the habit that has wrecked the trade: unfalsifiable claims. No source, no publication date, and nothing can be checked or corrected. Injury reporting is the cleanest specimen. Clubs disclose the injury that suits their stock price, and medical confidentiality is the legal name for the silence. Without a date you cannot even establish whether the player is back or still trapped inside the same week. One missing timestamp turns a newspaper into a rumour.

Now the part I liked best, because it asks for no conclusion — only a gate. The framework's remediation instruction is blunt: do not let Stage-2 run on empty input. A minimum of one populated Information Point and one resolvable entity is the viability threshold. Below it, fail loudly rather than quietly rendering a nine-dimension template. In football language: three questions before any trend piece ships. One player's name, one competition's name, one number. Miss all three and it isn't analysis, it's mood. And printing mood as analysis is so common here that we have turned it into a genre.

Let me add an image that I think is the best football reading of the whole document. Punjab FC arriving in the ISL in 2026-24, Mohammedan Sporting arriving in 2026-25 — neither was a new opportunity in Indian football. Both were corrections to a decade-old bookkeeping error. The ladder had always been there; promotion arrived ten years late. The field was never empty. The pipeline that could read it did not exist for ten years. N/A does not always mean the information is absent. Very often it means the information is present and nobody is reading it.

This is where the eye and the model sit across from each other. The model says: no promotion for a decade, so the league had no mobility. The eye says: the mobility was there, you never measured it. Both are right, and neither should be allowed to win by default.

One more thing in the framework I intend to steal for every piece I write — a confidence tag after each claim: High, Medium, Low. The reader can see which line is stated in the source, which is a reasonable inference, and which is pure speculation. We lack that three-tier discipline here, which is why "the club has paid the fee" and "the club is going to pay the fee" print in the same register. The distance between them is a courtroom; we turn it into a comma.

There is a sentence in the document that I think a football reporter should have written, not an analysis engine: the only risk that can be stated with confidence is analytical rather than sporting — that a reader treats this document as a substantive assessment. That is the risk of the entire profession. A reader mistakes a transfer rumour for a fee, and six months later asks why the number never arrived.

Now the part where I doubt myself. The longer I celebrate this N/A, the longer I forget that it is not a football story. It is a machine's audit report. Nine N/As tell you nothing about a club, a player, a coach, a transfer. They tell you where the pipeline broke. Those are two different products, and I have spent nine hundred words selling them as one.

Second, "fail loudly" is a cheap fix in a Bangalore server room and a very expensive one in a federation office in Kolkata. An institution with no incentive to admit its data is empty will never look empty. Installing a gate there means holding back the next press release. And in a newsroom only one gate ever actually closes — the deadline. Minimum viability is a hobby in front of it.

Third, my deepest suspicion: perhaps the emptiness is evidence the story was never worth telling. Not every report needs saving. Some inputs should stay blank. I might be wrong — and I have no problem being proven wrong, provided the evidence is put in front of me and not inside a press release.

So keep the next test simple. The next time you read a piece about Indian football closing the gap, ask one question: which Information Point is this standing on? If the answer contains no formation, no fee, no rank and no date, the piece is standing on its own N/A.

My estimate is that within the next twelve months at least one Indian outlet will publish its null rate — how many stories ran without a source. Whoever goes first will embarrass everyone else, including themselves. That is the good news.