Forty-Two Cells of N/A: The Data Vacuum Inside Vietnamese Athletics

In February 2026, a nine-part analysis dossier landed on my desk. Every table was there: performance assessment, athlete condition, qualification mechanics, competition structure, rules and anti-doping, training systems, risk matrix, public narrative, industry transmission chain. Forty-two rows of metrics. All of them returned the same marker: N/A.

The person who built that dossier did nothing wrong. They recorded exactly what they had: nothing. No event name. No athlete name. No track data. No competition date. No source. Nine analytical sections, three pages of conclusions, and the final verdict line — insufficient information, cannot assess — repeated twenty-seven times.

I read it through. Then I read it again. What I was holding was not a broken dossier. It was a portrait of an athletics system that has never been fully recorded.

The day football stopped, I started counting strides again. I first wrote that sentence in 2026, when the pandemic shut every competition and forced me back into my old data archives. Only when this all-N/A dossier arrived did I understand how accurate it was, in a more uncomfortable way than I had imagined.

What An Analytical System Needs To Run

My job is to build frames for data. A nine-part dossier is not born of laziness. It is the product of a standard process: split the problem into nine groups, ask questions of each group, cross-check, conclude. That process works well where data exists. Where it does not, it becomes a mirror held up to the void.

Athletics holds a rare advantage across the whole sports system: everything is measurable. Every hundredth of a second. Every metre. No arguments about whether a goal was valid, no video technology rewriting a result after a four-minute review. In theory, this should be the easiest sport in the world to analyse. In Vietnam in practice, it is the hardest — because the data is not kept.

To assess a single track and field athlete, I need at minimum four layers of information. The base layer is the raw result: mark, date, competition. The condition layer covers wind speed, altitude above sea level, track surface type, temperature and humidity. The process layer covers split times per hundred metres or per lap, pacing, and how effort was distributed. The administrative layer records who organised the meet, who timed it, with what equipment, and whether the result was ratified by the international federation.

None of these layers is an extravagant demand. They are the minimum required to separate a genuine mark from a lucky one. Without the condition layer, a 3.1 metre-per-second tailwind turns a mid-tier athlete into a record holder in the reader's mind. Without the process layer, we cannot tell who finished with a sprint and who finished by dying over the final sixty metres. Without the administrative layer, any number can be erased from history by a single bulletin.

Over four months of auditing for my personal database, I collected 1,640 rows of domestic athletics results spanning 2026 to 2026. Only 11 percent carried wind speed. Fewer than 4 percent had split times. Under 2 percent stated the ratification status of the international athletics federation. The three most important layers of information vanish across more than 95 percent of rows.

That is why dossiers like the one from February 2026 exist. They are not wrong. They reflect a simple truth: we record results, and only results.

Marks Without Conditions

At credible international meets, every athletics result is published with a condition line. A record is ratified only when the tailwind does not exceed 2.0 metres per second. That threshold is the boundary between ability and luck.

Domestically, most result sheets stop at name, bib number and time. Wind is not measured. Track surface is not classified. Altitude is not noted. A 200-metre runner in Da Lat, where the air is thinner, and another running the same distance in Can Tho appear on the same ranking table with the same weight.

I once tried to link two seasons of a young athlete group to see who had genuinely improved. The marks jumped 0.4 seconds at one meet and fell back at the next. Without wind data, I could not distinguish a real jump in ability from a favourable afternoon. Four months of work, and I still could not answer a question any coach must answer before finalising a squad.

Only The Finish, The Process Gone

Athletics is a sport of effort distribution. A 1,500-metre runner can go slow for the first eight hundred metres and unleash over the final four hundred, or run evenly from the gun. Both produce the same finishing time, but only one suits that athlete's fitness base in the next round.

Without split times, all of that is lost. We only know who crossed first. Over one season, that is roughly enough. Over a four-year cycle aimed at a regional arena, it is nearly useless.

In my database, I retained splits for exactly 63 rows. Most came from meets where a foreign electronic timing crew took part. Our recording system depends on someone from outside coming in to do the job.

A season is a confession of tactics. But to hear that confession, someone has to keep the minutes.

Athlete Identity Without Continuity

A footballer has an ID number. A domestic track athlete usually has only a name written on a paper sheet. The same person, written three different ways across three meets and three years, becomes three disconnected records in every database.

The consequence is that no individual development curve can be built. We cannot know how much a nineteen-year-old improved over three years, because those three years sit in three different files, each missing half its data.

This is the dullest and most expensive kind of failure. It does not cost anyone a final. It simply makes an entire generation of athletes impossible to evaluate fairly.

Where Administrative Memory Is Erased

The final layer is ratification status. A result never submitted to the international federation, or submitted with incomplete paperwork, does not exist in the global system. To fans it is still a medal. To the market, it does not exist.

I cross-checked my 1,640 rows against the public database of the international athletics federation. Many rows returned no athlete name. On the rows that did, the accompanying detail was usually limited to time and distance.

Numbers are a mirror. Most of the market looks into it and sees only itself.

Every N/A Cell Is A Measurement

The first reflex on seeing an all-N/A dossier is to assign blame. The federation lacks capacity. Organisers lack professionalism. Media never demanded better. All of it is partly true, and all of it is useless.

What matters more: every N/A cell is a measurement of data-production capacity. It shows precisely where the system stops. A dossier of forty-two empty rows draws a more detailed map than any medal report.

And here is the part rarely discussed. The data gap distributes by budget. Provinces with modern training centres automatically generate more rows, because they have timing equipment, data-entry staff, and people who know how to file paperwork in the correct format. Other provinces leave fewer traces.

The result is a system in which anonymity in the data matches poverty of resources almost perfectly. We believe we are measuring performance. In practice, we are measuring budgets, and then calling it performance.

Hai Phong taught me: the star is not on the shirt, it is in the index. But if the index is only recorded where there is money to record it, that sentence needs a second clause. That clause is the most uncomfortable part of this job.

In 2026, I once carried a pressing-metric sheet into a meeting room and convinced a coach to hand an opportunity to a young player nobody had noticed. That sheet won because it had numbers to read. In an athletics system where more than 95 percent of rows have nothing to read, no sheet wins that way.

People call me a data monk. A monk needs no cathedral, only the truth. But a monk without scripture can only stand still.

Signals To Watch

Two signals are worth tracking over the next twelve months. First, whether any national athletics meet publishes wind speed and split times, even for a handful of events. Second, whether athlete names are standardised into unique IDs across seasons.

Athletes such as Nguyen Thi Oanh and Nguyen Van Lai have fuller records on international systems, where they have competed, than in our own domestic databases. That gap cannot be measured in medals. It is measured in the number of data rows a generation leaves behind.

The next step is not better analysis. It is more complete recording.