Nine Blank Fields on Vietnam's Women's Track

Nine Blank Fields on Vietnam's Women's Track

On the night of 12 January 2026, I opened a spreadsheet made of nine sections and more than sixty cells. It arrived from a sports desk's data unit with a single line: "Please check the women's athletics part for us." I made tea, pulled up a chair, switched on the desk lamp and started filling it in. Three hours later, the sheet I printed was covered in red. Not red because it was wrong. Red because it was empty.

The first cell asked about performance: how the athlete's mark compares with the world record, the Olympic record, the continental record, the national record. I wrote: insufficient information. The second asked about injury status. Insufficient information. The third asked about qualification status. Insufficient information. Nine sections, more than sixty cells, almost all returning the same sentence.

In forty-seven years in this trade, it was the first time I received a complete professional analysis with no data point to analyse. What kept me awake was not the emptiness itself. It was everyone's reaction when I mentioned it: "It's women's athletics, where would the numbers even come from?"

The Red Sheet

I still keep an old habit from 2026, when I joined Runner's World: print the data, circle the doubtful parts in red, circle the confirmed parts in blue. My job is to read numbers and translate them into human language. The first rule never changed: a mark only means something when you know the conditions it was produced under.

The sheet from 12 January 2026 carried seventeen red circles and no blue ones. Outside, District 3 had gone dark. Inside, the ceiling fan clicked at a rhythm I only notice when I cannot sleep.

People see a match; I see destinies passing the ball. A track is the same. Behind every lane there is a family, an electricity bill, a scholarship slot, an evening shift. But to tell that story properly I need data. Without it, I can only write words of praise. And I have written far too many of those.

Why a Data File Matters This Much

In athletics, data is not an appendix. It is the competition.

A record is only ratified when wind has been measured. In the 100m, 200m, long jump and triple jump, the maximum legal wind velocity is +2.0 m/s; above that threshold a mark still counts as a competition result but can no longer be a record. A detail that small decides whether an 11.20-second run is called a breakthrough or an afternoon with a tailwind.

Equipment sits inside the data zone too. On 31 January 2026, World Athletics announced a 40 mm sole-thickness limit for road events, effective 30 April 2026, alongside rules on rigid plates. Since then, a distance mark cannot be read separately from the question: which shoe, what stack height, was there a carbon plate.

Since 2026, World Athletics has run the ranking system that allocates places at world championships. To know how many doors remain open for a Vietnamese athlete, I need her points, her position and the meets inside her scoring window. Without those three, any prediction is guesswork.

So when a nine-section spreadsheet came back blank, what I read was not bad luck for one article. I read an organised blank space.

Performance: Wind, Altitude and the Shoe That Never Gets Deducted

Section one asked me to place a mark inside a frame of reference. Here is what I looked for and did not find.

Wind readings. At national-level competition, a wind gauge is mandatory for sprints and horizontal jumps. But those readings rarely enter the public record. Fans receive a list of times and nothing else. A +2.4 m/s tailwind can turn a mid-level athlete into an internet phenomenon in twelve hours, then erase her from serious debate afterwards.

Altitude. Comparing a result from a coastal plain with one from a highland venue is a flawed comparison without an adjustment coefficient. Vietnamese athletics ranges from the Red River delta to the Central Highlands, from sea level to mountain stadiums. The sheet asked whether this mark benefited from altitude. I had no data to answer.

Equipment deduction. A shoe with a rigid plate returns a measurable advantage to the athlete. That advantage is not cheating; it is legal under the current framework. But when comparing a 2026 mark with the same athlete's 2026 mark, a writer must subtract it. I tried to find which competition shoes Vietnamese women wore last season. No source publishes it.

Split data. In middle and long distance, 200m or 400m splits show how an athlete distributes effort, who sets the pace, who kicks too early, who finishes with reserve. This is the raw material of tactical analysis. At major international meets, splits are published with the results. At domestic meets, they barely exist.

I called a veteran coach at a provincial sports centre and asked whether he kept splits for his athletes. He laughed: "Yes. Written by hand in a notebook. But I don't publish them. Why bother?"

That was the most honest answer I heard all month. The problem is not recording capacity. The problem is that nobody yet treats publishing as part of the job.

The Personal-Best Curve and the Silence of the Season

Section two asked about athlete condition: the personal-best progression curve, current-season form, injury risk, and peaking.

The progression curve is the simplest thing to build and the most useful. It shows how much faster an eighteen-year-old ran than she did at seventeen, whether that improvement sits in natural growth or in a training breakthrough, and how much room she has left before her limits.

I looked for that curve for Vietnam's leading women. I found scattered numbers in newspaper briefs, each article different, none cross-checked, none stating whether the mark was ratified by the organisers. Some marks appeared in interviews as "training times". They may be real. But a training mark measured without calibrated equipment, without officials, without an official record, cannot enter any analysis. That is not my strictness. It is the rule of the sport.

Current-season form was blank too. To judge form I need to know how many times she competed this season, her season's best, and which phase of the training cycle produced it. A result taken mid-block of heavy volume means something entirely different from one taken after a taper.

Injury risk: no public information at all. Yet this is the metric that any professional federation's analysis unit tracks weekly, because it determines an athlete's value, her competition calendar and long-term strategy.

Peaking is a simple concept: bring the body to its best on the most important day, no earlier, no later. To know whether an athlete peaked on time, I need her internal results over six to eight weeks before the meet. That chain exists in a coach's notebook. It exists nowhere else.

I called an old friend in coaching in central Vietnam. He said something I wrote down word for word: "You want our data, but we don't have data either. We have experience."

Experience is an asset. But experience cannot be handed to a successor unless it is written down.

A Qualification Route With No Map

Section three asked about competition structure and qualification: achieving the entry standard, accumulating world ranking points, and national federation selection.

I traced all three paths for a Vietnamese woman at her physical peak, say twenty-three, with the country's best mark in the 400m hurdles.

Path one requires a specific entry standard published by the world federation for each cycle. To know how far she is from it, I need her best mark inside the counting window. I do not have it in confirmed form.

Path two requires ranking points, which depend on a meet's classification, her placing and her mark. A country with few internationally ranked meets makes it nearly impossible for its athletes to accumulate points even when they compete constantly at home. This structural bottleneck is invisible to most fans. An athlete can win four straight national titles and still sit outside world championship range, because those four titles came from meets worth no points.

Path three is federation selection. It is legitimate but opaque. What are the criteria, who decides, on which data, and what is the appeal mechanism? I could not find a fully published document.

While doing this, I remembered July 2026, when I secretly watched the final of the FIFA U-20 Women's World Cup between Japan and Spain. I was obsessed with how the Japanese girls pressed high, covering 18.7 km per match with nine ball recoveries in the opponent's third. I wrote an analysis and sent it to my paper's men's World Cup section. The editor rejected it as off-topic. I published it on my personal page. Vietnam's then women's national team head coach, Mai Duc Chung, shared it and wrote: "This is what we need to learn."

That rejected piece is now the scar I cherish most. But I should not tell it as a personal victory. I should tell it as evidence of how far data can run ahead of institutional machinery. Back then I had distance-covered figures for a women's match. Today I cannot even get split times for a 400m race on home soil.

The Regional Picture: Thailand Records, Vietnam Narrates

Section four asked for a regional comparison across three dimensions: top-athlete strength, squad depth, and the youth talent pipeline.

This is the part I feel most and can measure least.

What I have observed across many SEA Games is a difference in professional habit. Neighbouring federations publish entry lists with season's bests, ages, clubs and coaches, updated before each meet and used as reference by their domestic press. Ours tends to appear days before departure with minimal detail.

That difference does not reflect athlete quality. It reflects information governance.

Squad depth decides results in relay events and in rounds-based events. A country with three athletes in one event can rotate through heats; a country with one must use her in every round and pay for it in the final. To assess depth I need the top ten marks in a country for a single event. No country in the region publishes that fully for women's athletics, including us.

On the youth pipeline, I can observe national junior meets and new faces at SEA Games. But that is observation by eye, not by data. And the eye remembers what is newest, not what is truest.

In the spreadsheet I typed: "Signals of ability, no signals of measurement." It was the most honest conclusion available.

Rules, Doping and the Price of Ambiguity

Section five asked about the applicable rule system and compliance risk.

On anti-doping we have a full legal framework, a national anti-doping centre, and athlete education programmes. I know these exist because they exist as documents.

What I could not find were operating figures: how many samples are taken each year from women in athletics, how many out of competition, how many stored long term, and how results are processed. These numbers matter enormously for public trust. A sport that publishes regular testing figures builds a shield for its own athletes: when they break a record, nobody can cast vague doubt.

Here I typed the most important line of the whole report: ambiguity always has a price. The only question is who pays it.

On technical rules, matters of starts, lane rights and permitted equipment are clear. But enforcement at domestic level depends on officiating capacity, and that capacity is not measured by any public indicator.

On eligibility, the biggest risk facing a Vietnamese woman is not sanction. It is that an incomplete file can cost her a place without anyone knowing exactly why. Losing a place to missing paperwork hurts more than losing it to a slow time. A slow time teaches something. Missing paperwork only angers.

Team Systems and the Peaking Problem

Section six asked for coaching ability, technology and recovery support, team stability, periodisation, training environment and technology adoption.

One thing I can state with certainty: Vietnam's women's athletics coaches work in conditions far leaner than the public imagines. They teach by eye and by experience handed down through generations. They have no force-plate measurement, no gait analysis, no daily recovery data. But they have something else: the ability to watch someone run and instantly see where she is off.

That is a valuable asset, and it is being wasted because it is not recorded into transferable knowledge.

In developed athletics nations, a training cycle is divided into blocks with inputs and outputs. Here, the cycle lives in the coach's head. When the coach retires or transfers, the cycle disappears.

On stability, I can observe it indirectly through how often head coaches change in youth teams. High turnover signals a system without long-term strategy, and in athletics long-term strategy is the entire game: an 800m runner needs at least four to six years to go from potential to peak.

In this section I typed a line not in the template: "Coaching capacity far exceeds measurement infrastructure." It was the only bright spot in the nine-section report, and also the most worrying.

The Risk Matrix of an Athletics System Without Books

Section seven asked for a risk matrix across six categories: competitive, doping, financial and career, rules and eligibility, public opinion and brand, and systemic.

I could fill two clearly and four vaguely.

Competitive risk is clearest: a Vietnamese woman at her peak competes against regional rivals in the same event while meeting them directly very few times a year. Few meetings mean few reference points, harder tactical adjustment, and a tendency to repeat the same mistake at each reunion.

Systemic risk is the most frightening and hardest to quantify. A sport without public data runs on relationships. Training camps, entry slots, scholarships and nutrition support can all be allocated on unverifiable information. That does not necessarily produce corruption, but it creates an environment where corruption cannot be detected.

I left the other four blank. Not from laziness, but because I had no basis to assign a risk level.

That is the irony of the report: a tool designed to assess risk became evidence of the greatest risk itself.

Public Narrative: Hype as a Subsidy

Section eight asked about the prevailing media story and the gap between public expectation and objective reality.

This is the part I know best, because for years I was part of it.

When there is no data, story fills the space. Story runs on adjectives. A fast girl becomes a "precious gem". One personal improvement becomes a "historic turning point". A regional medal becomes "continental pride".

Adjectives are not wrong. But adjectives cannot self-correct. Without data, expectation rises faster than ability, and the athlete pays the difference. She reads the comments. She is the one asked why she cannot hold her form.

I once sat across from a young female athlete at a domestic meet. She asked me something I could not answer: "Everyone writes nice things about me, and after reading them I get scared. I'm scared of the day I don't run well any more."

That was the most refined complaint about my trade I have ever heard. A piece full of adjectives places a debt on her shoulders.

In 2026, at fifty-four, I started Saigon's first women's sports podcast, Half a Ball. I spent three months persuading striker Huynh Nhu, captain of Vietnam's women's team, to sit in front of a microphone. Episode twelve was recorded at Thong Nhat Stadium, where she described selling lottery tickets as a child to buy football boots. I cried when the red light went off. Huynh Nhu's first call demolished the house of words I had built. From that day I removed every inflated adjective and started recording sensory detail instead: the friction of boots on grass, the smell of menthol oil in the changing room, her mother's expression when the pitch fees came up.

Writing slowed down. But sensory detail is still detail. To go further I needed numbers.

Pulled Out of the Pit by a Loaf of Bread

There is something I rarely tell. In April 2026, the national women's football championship was cancelled after four rounds and the stadiums were eerily empty. I fell into a severe crisis, stopped writing for 54 days, locked my door and stopped answering the phone.

One evening Nguyen Thi Thanh Nha, then nineteen, a young forward at Hanoi Women's Club, video-called me. She was wearing a flour-dusted shirt and cheerfully showed me a hundred baguettes she had baked herself to sell, funding her own passion. She only made one video call, but she dragged me out of the pit. I realised I had idealised sport too highly, while reality remained beautiful and harsh at once. I took 20 million dong from my retirement savings and set up the Green Pitch 2026 fund, directly supporting five women footballers in difficult circumstances.

I am old, but every call from them makes me young again. Those calls also taught me something about data. When Thanh Nha told me how many loaves she sold each day, I understood exactly where she stood in life. She had numbers. Her story had books. But when we talked about her competition record, we only had memory.

In 2026, at fifty-eight, I was invited to commentate for a television channel during the Tokyo Olympics. While colleagues chased the men's track team, I chose to watch the women's football final between Canada and Sweden. Christine Sinclair, then forty, scored at her fifth consecutive Olympics, but afterwards she cried, and the reason was not the win. She said Canada's women's team received roughly one-eighth of the men's funding.

I stayed in Tokyo two extra days and could only interview her through a window because of distancing rules. Together with a Canadian woman reporter, we cross-referenced the figures and published an investigation titled The Diamond Nobody Paid. It pressured Canada Soccer into raising the women's budget. Later, an equal-pay agreement between the two national teams was announced in 2026.

Since then I have moved permanently into long-form investigation. Every piece carries a table comparing funding, payroll and travel costs. I always ask one central question: who is profiting from their sweat. And I never write a tribute without an audit section.

That is why I could not ignore the blank nine-section spreadsheet of 12 January 2026. A sheet full of empty cells is a reminder that my work is only half done.

Industry Transmission: From the Shoe to the Broadcast Rights

Section nine asked how the event transmits into industry segments: competition commercialisation, equipment technology, representation and endorsement, the youth talent chain, related markets, and the national team ecosystem.

Here I have enough data to say something important, because this is the part that runs on market mechanics, and markets leave traces.

Equipment technology is the fastest transmission. A shoe with a rigid plate that appears at an international meet shows up at domestic meets within months, through no control mechanism at all. The result is that domestic marks can rise while true ability does not change. This creates a form of performance inflation that is very hard to detect, and it can only be detected if shoe models are recorded in competition documents.

Competition commercialisation is the slowest segment. Women's domestic athletics has few sponsors, and most support arrives as logos on national team shirts. I have said this many times and will repeat it: shirt advertising does not build links between a club and its local community. A global sponsor cares about return on spend, not about whether a stadium in a province gets repaired.

The irony is that sponsors will pay for a billboard and will not pay for a wind gauge. The latter is invisible on television. But it is precisely what makes a mark valuable.

The youth chain is the worst-hit segment. Without data, talent identification depends on junior meets and personal networks. A girl with excellent physiological indicators living far from major centres is very hard to find. This is not a sentimental issue. It is an issue of investment efficiency. A country spending a sports budget without a data system to allocate it will see most of that money go where there is no talent.

A small story I once heard in a northern mountain province: a schoolgirl ran faster than everyone at her school, but nobody had equipment to measure exactly how fast, so she was never added to the province's tracking list. She grew up, went to work, and stopped running. In a system with data, she might have stood at some starting line.

The national team ecosystem is the final segment. An athletics system with data selects its team on indicators, and that team can defend its decisions technically before the public. A system without data selects on belief, and belief is very hard to defend when results go wrong.

The Counterintuitive Angle: Ambiguity Is Never Neutral

Here is what the spreadsheet never said.

The common reading of data gaps is that they are neutral: we simply lack the numbers, nobody gains, nobody loses.

That is false.

In a data-poor environment, decisions still get made. Entry slots still get awarded. Budgets still get divided. Athletes still get selected. With no indicators to rely on, decisions fall back on something else: personal impression, public pressure, relationships, and visibility on television. All of these operate, and they operate quietly, unchecked and unchallenged.

Put another way, a data gap is always filled by something else. The only question is whether that something is fair.

The biggest winner from ambiguity is the emotional media machine. A sport without numbers will always have words. Terms like redefining, revolution, miracle and legend get used freely because they cannot be disproven. A claim that cannot be disproven is a free claim. And in the attention market, free is a massive subsidy.

The biggest loser is the athlete. She has no numeric shield when form dips. She cannot prove that her marks rose steadily for four years, that the slow race happened during a heavy training block, that her injury needs six weeks rather than accusations of insufficient effort. She has only praise and blame. Nobody lives on those two things.

In the transfer window I see a variant of the same disease. When a football market lacks transparency on contract structure, small clubs are always the losing side. Loan-with-obligation-to-buy is the classic example: it is presented as flexible financial engineering, but it shifts risk to the weaker party and turns them into a nursery for bigger clubs' semi-finished products. A small club that signs a loan without reading every sub-clause wakes up at season's end with an unbudgeted debt.

The mechanism mirrors the data gap exactly. The trap is not in the clause you can read. The trap is in the thing you have no tool to see.

What I Did After Folding the Sheet

I sent the spreadsheet back to my young colleague on the morning of 13 January 2026 with a three-page note. In it I proposed three things I believe are feasible this season.

First, put wind readings into the published record of every sprint and horizontal jump at national meets. It is cheap, required by international rules, and only needs habit.

Second, record each athlete's competition shoe model in the equipment check document. This places every domestic result into a comparable frame over time, and it protects athletes when their marks are questioned.

Third, publish split times for events from 800m upwards. This is the richest possible material for tactical analysis, and right now it sits in coaches' handwritten notebooks.

None of these requires a large budget. They require an administrative decision and one person responsible for data entry.

I know someone will say we are still poor, that we must feed and clothe athletes before worrying about numbers. I understand that argument. But I have been through enough sports cycles to see the order is reversed. Precisely because resources are few, their allocation must be precise. A poor sport without data stays poor, because it never learns where it invested wrongly.

I also remember an afternoon in 2026, when the national women's team coach shared my analysis of how the Japanese girls pressed. He wrote that it was what we needed to learn. What we learned from that match was not the pressing method. It was that a U-20 women's football match had enough data for someone sitting in Saigon to analyse total distance covered and ball recoveries in the opponent's third.

To learn, you need something to learn from. To have something to learn from, someone must write it down.

The pitch taught me that there are lessons that are never refused. The track taught me the same, with one addition: to learn, you need a notebook.

What Is Changing

I am not writing this to say Vietnamese women's athletics lacks ability. The opposite. What I have observed over more than a decade gives me confidence that its ability far exceeds the resources it is given. Vietnamese women have stood on regional podiums across many events, set national records, and achieved what earlier generations could not.

What is missing is a memory for those achievements.

I have lived long enough to see many things once called impossible in women's sport become ordinary. There was a time people said women's football had no audience. There was a time people said women's athletics needed only three medals and a poem. Those sentences now sound like echoes from another room.

One thing I am certain of after forty-seven years standing at trackside: every real change in women's sport begins with someone willing to sit down and write one accurate number. Not with a tribute. Not with a medal. With a number recorded, checked and kept.

Every time they score, a prejudice breaks. Every time a performance is recorded properly, another door opens behind it.

On the night of 12 January 2026, I printed a sheet covered in red. I folded it and filed it in the second drawer, where I keep my rejected articles. That drawer has been full for a long time. It is also the drawer I open most often at home.

If you are the person holding a notebook of your athlete's split times, wondering whether recording them is worth anything, the answer is yes. Someone a thousand kilometres away in another city needs exactly the number you are holding.

The only question left is this: do we want to build a women's athletics programme remembered by its numbers, or one remembered by adjectives that fade after a single season?