The Blank Report in Hai Phong: A Data Career Begins With 'Insufficient Information'

There is a file on my desk in Hai Phong: nine sections, proper tables, a reference-point column, six checkboxes for risk flags. Every data field is empty. Section one, performance metrics: insufficient information. Section two, athlete condition: insufficient information. By section nine, even the glossary of technical terms reads N/A.

It was nearly three in the morning, and trucks were still rolling toward the port outside my window. After more than twenty years in this trade, I have a reflex: see an empty cell, want to fill it. Fill it with the memory of a similar race. Fill it with a feeling. Fill it with the sentence, “if I remember right, this kid runs about…” That is the reflex of a writer, not of a data man.

I closed the file and wrote one line in the margin: this is the most honest report I have received this year.

Others would look at it and see uselessness. I see three things a report stuffed with numbers rarely dares to state: the source does not exist, the entity is not defined, the timestamp is not recorded. Those three are the minimum conditions for an index to earn the right to exist.

A framework built out of empty space

In 2026, while working as a data consultant for Hai Phong FC, I started standardising my analytical framework into a repeatable process: define the subject, attach a timestamp, choose a reference point, and only then read the numbers. During an audit of the youth academy's metrics, I came across midfielder Vu Minh Hieu with an average PPDA of 6.8 — the highest in the entire development system. He pressed extremely well but was barely noticed because of his modest frame. I brought the numbers into the meeting room and asked coach Truong Viet Hoang to give him a shot. Against Hanoi FC on matchday 17 of the V.League, Minh Hieu won the ball 14 times, provided one assist, and Hai Phong won 2-1.

The lesson was not in the result. It was this: an index only carries power when the reader knows what it measures, over how long, and who measured it. If I had handed over a PPDA figure with no definition, no minutes played, no opponent, that table would have been nothing more than a stamped compliment.

The day football stopped, I started counting strides again. In 2026, when every league paused, I spent four months going back through five V.League seasons and three major European leagues: 2,300 matches, recalculating a pressure index combining PPDA, defensive distance and pressing speed. Teams with a PPDA below 8.5 averaged 1.8 points per match, well above the rest. I published the “Pressure Index” model on my personal blog.

But what I kept from those four months was not the model. It was an extra column I added at the bottom of the table: matches with missing data divided by total matches. That column has never been zero.

Nine sections, and the price of every empty cell

Section one covers performance metrics. To assess a single race I need four things: a comparison benchmark (world, Olympic, continental or national record), competition conditions, footwear, and split data. Without a benchmark, the result is just a figure hanging in the air. Without conditions, a tailwind above 2.0 m/s or an altitude track turns an ordinary run into a fake record. Without footwear data, the advantage from a carbon plate is never deducted, and I am grading technology instead of legs. Without splits, I cannot tell whether the athlete won by kicking at the end or by breaking away in the first 600 metres.

Section two covers athlete condition. Three data streams are required: the personal-best progression curve by year, current-season form, and injury status. In Vietnamese athletics, two of those three are usually not public. I can trace Nguyen Thi Oanh's or Nguyen Van Lai's results across SEA Games editions, yet I struggle to find their split sequences from a domestic meet. Fans see medals. I want to see the rhythm of the final 200 metres, because that is where it shows whether an athlete still had something left or had emptied out.

Section three covers qualification mechanics. A ticket to a major championship comes through three routes: hitting the standard, accumulating ranking points, or a national quota. Each has its own window and its own physical cost. Packing a calendar to farm ranking points is a strategic decision, not an inspired one. Every squad wants to be at every meet, but a body only tolerates a limited number of all-out efforts a year.

Section four covers the regional landscape: the strength of the leading group, squad depth, and the pipeline. Here I usually compare three dimensions across nations, and the most common conclusion is this: a country can have a star without having a system. The star is not on the shirt, it is in the index — but one person's index cannot save an entire athletics programme.

Sections five, six and seven are the checks: competition rules, anti-doping, coaching capability and recovery infrastructure. This part is the dullest and the most skipped. An athlete dropped by paperwork has no index that can rescue them.

Section eight covers the media narrative. This is the section I read first when the transfer window arrives, because it teaches me how to separate noise from signal. A report saying a club is interested is worth less than the structure of a release clause and the remaining wage bill. Same logic: information about an athlete on the verge of a record only counts when it comes with a date, a measuring device and an accredited official. Everything else is atmosphere.

I did not see Germany lose. I saw numbers that do not lie. Before the 2026 World Cup, I published an analysis of Germany's qualifying campaign with an average PPDA of 9.2 — far too high for the pressing standard of a champion — plus slow attacking speed and only mid-level expected goals. I wrote that Germany would exit in the group stage. On 27 June 2026, Germany lost 0-2 to South Korea despite 26 shots and 1.5 xG. What I wanted to say was not that I was right. It was that without PPDA, without xG, without qualifying data, I would have had nothing to write except a feeling.

Section nine covers industry transmission: competition commercialisation, equipment technology, personal sponsorship, the youth chain. Looking at it, one thing worries me: better shoes, faster tracks, and yet split data at domestic meets is still missing. We are upgrading what is visible and neglecting what is recorded.

The contrarian view: the blank report is the honest one

This is where I have to argue against myself. For years I convinced clubs that no data means no decision. That argument is right, but it slides easily into a dangerous belief: that a filled table always beats an empty one.

Data is a mirror. Most of the market looks into it and sees only itself. People want a framework already filled in, because a full framework looks professional. A template with four cells reading “insufficient information” makes the client uncomfortable, and that discomfort creates pressure to fill it by any means. Four familiar errors grow out of that pressure: letting a single performance stand in for an entire level; crediting the legs when the advantage came from a carbon-plated sole; folding wind-aided or altitude-aided results into true ability; and inflating training marks that have never been ratified in official competition.

A season is a confession of tactics. But an empty cell is an honest statement about the limits of the analyst. I keep that report, not because it is good, but because it is a reminder: any conclusion reaching beyond the input data is speculation wearing the coat of analysis.

Looking forward

If I were to redesign my data framework for next season, I would add one more metric to every table: the missing-cell rate. Put it right beside the average, right beside the improvement, so readers can see that a result computed from 80 percent of the data carries different weight from one computed off a single measurement. People call me a data monk. A monk does not need a cathedral, only the truth. And the most honest thing in this trade is knowing when you do not yet have enough to speak.