Nine Empty Columns: When Women's Sports Aren't Counted

2:14 AM in Busan. The laptop screen lit up the small room, and I opened the report that had just landed from the analysis pipeline. It ran more than a dozen pages, split into nine sections, each with tables, assessment boxes, and its own conclusions. It looked perfectly respectable.

Then I read the first line. The column headed "Game Title." The cell beside it read: N/A. The column "Version/Patch": N/A. I scrolled down. Team & Player Analysis: N/A. Regional Landscape: N/A. Club Finance: N/A. Rules & Governance: N/A. The Risk Profile section was the only one with real content, and that content was about this very table — that it was empty, that there was nothing to analyse, that any conclusion drawn from it would be pure fabrication.

I sat still for a long while. Outside, the city was still lit as if no one had ever slept. I am used to reading tables full of numbers: minutes played, scoring efficiency, transfer fees, home win rates. That night I read a table of nothing but N/A, and it somehow looked familiar.

That report was the output of a two-stage process common in esports data analysis. Stage one deconstructs the source article: title, source, article type, information points, core viewpoints, entities mentioned — teams, players, tournaments, patches. Stage two takes that output and runs it through nine dimensions: meta and patch, tournament system, teams and players, regional landscape, club finance, rules and governance, risk profile, media narrative, and industry transmission.

That night, stage one returned zero. No title. No source. Not a single information point. Not a single entity identified. Stage two, instead of inventing conclusions to fill the page, chose to stop and state plainly: the input is degenerate, analysis is impossible, and all subject-level judgements are withheld to prevent fabricated analysis.

In my line of work, that is correct behaviour. And precisely because it is correct, it made me think of something else.

Because that empty table — nine columns, not one number, not one name — is not a rare accident in women's sports. It is the default state.

I once built a spreadsheet tracking fifteen South Korean women players by hand, night after night, only because in an editorial meeting at a local sports outlet, my pitch about the women's league was cut down with a short sentence: "Nobody reads it, it's a waste of effort." Back then I had nothing but a personal blog and stubbornness. And the first thing I had to do was not write. It was count. It was to go and find the numbers nobody bothered to collect.

The pitch never sleeps. Only people choose to look away.

Nine analytical dimensions, nine absences

When an analytical system returns zero, that is not a data failure. It is the failure of designing a world that refuses to record what it does not want to see.

I took the nine empty columns from that night's report and placed them beside nine corresponding columns from the real life of women's sports. They matched with uncomfortable precision.

One: Meta and patch

In esports, the patch shapes everything. A small adjustment can change character selection, match pace, and the role of every position. The analyst community spends hundreds of hours a week dissecting every buff and nerf, every map rotation.

For women's competitions, that data barely exists. Not because women players play on a different patch. They play the same patch, on the same servers. But when an update lands, stat-tracking sites rarely separate women's league data into a distinct layer for comparison. The result: people can say a great deal about a position being weakened in the men's league, yet when the same position is weakened identically in the women's league, nobody has enough numbers to say anything at all.

The "Version/Patch" column in the report read N/A. In real life, it reads a longer dash: the patch is real, only the chronicler is not.

Two: Tournament system

A tournament system is understood through four things: format, series length, qualification path, and schedule density. All four are dry, easily collected data that nobody hides.

Yet when I looked for scheduling data from a women's national season, what I got was usually a photographed fixture list, not a data table. I had to manually enter every date, every kick-off time, every travel leg between cities, then calculate the average rest gap between matches myself. Meanwhile, the corresponding men's competition had a live schedule page that exported to a spreadsheet with a single click.

The gap is not in the number of matches. It is in the fact that one side is designed to be counted, and the other is designed to drift by.

Three: Teams and players

This is the column that hurts me most.

To assess a team you need four things: paper strength, positional fit, chemistry, and bench depth. All four require one foundation — continuously updated player data.

In 2026, I followed a women's club that had won five consecutive national titles through the summer transfer window. I discovered their number one goalkeeper, a thirty-one-year-old, had been sold to a Japanese club for fifty million won, roughly forty thousand US dollars — about sixty percent below the market value I could estimate by comparing her to goalkeepers of similar calibre in the men's league and in other women's leagues.

What unsettled me was not the figure. It was where that figure came from. The coaching staff told me they negotiated on a "sense of real value." When I asked what data that sense was based on, no one could answer, because there simply is no dataset of women's goalkeeper valuations to consult.

I spent two weeks on that investigation, interviewed three players on condition of anonymity, and cross-checked at least four sources. The piece stopped a similar deal involving a young midfielder. But it only stopped one. Because the root remained intact: my job required me to rebuild from scratch what should have already existed.

People remember the scoreline, but I remember my sister's eyes in the middle of that night.

Four: Regional landscape

Comparing regional strength is a daily task in esports. Regions are ranked by international results, talent-pool depth, academy output, and ecosystem health.

For women's competitions, those four measures are usually collapsed into a single phrase: that region is "strong in women's." A claim that cannot be verified, challenged, or tracked over time. I once read a summary calling a country "the cradle of women's sport" without a single figure in the entire piece about the number of teams, players, or grassroots competitions.

In the nine empty columns, the Regional section read N/A. In real life, it reads a vague adjective.

Five: Club finance

This is where the absence of data turns into money — or rather, into the absence of money.

A women's esports club lives on four main sources: sponsorship, league or publisher distributions, salary-cost control, and capital injection from a parent company. All are measurable. But when I ask about a women's team's sponsorship, the answer is usually "small, not worth mentioning." When I ask about total salary cost, the answer is "confidential." When I ask about the league distribution, I am pointed to a non-public clause.

All four columns read N/A, and that N/A is not random. It is the product of a system in which failing to disclose information is not considered unusual. Meanwhile, for a men's team of the same scale, I can look up transfer fees, contract lengths, and sometimes estimated salaries — not because men's teams are morally more transparent, but because the public has grown used to demanding it of them.

Six: Rules and governance

This is the column where missing data does the most damage, because it touches flesh-and-blood people.

Competitive integrity, transfer and registration rules, contract compliance, protection of minors — all require records. With no records, no violation is ever registered, even when violations are happening.

One thing is easy to see: when a women's international tournament clashes with a major men's event, the only part pushed to the front page is the part with numbers. Women's player transfers happen in silence, sometimes confirmed only after the tournament has ended. By then it is done, the player has gone, and nobody had time to ask a question.

An empty file is not a clean file. It is merely a file that was never opened.

Seven: Risk profile

When that night's report ran its Risk Profile, it found exactly one real risk: the empty input itself, and the danger of fabricated analysis if anyone still pushed ahead. It rated that risk high and flagged it clearly.

In women's sports, the biggest risk is a different kind: the risk that nobody checks. Without a standard dataset, no one notices when numbers are rounded for convenience, when a contract date is entered wrongly, when an injury is called a "minor issue" to preserve a promotional appearance. Medical confidentiality leaves fans and media on the outside, and clubs only disclose what suits their image. In women's competitions, where every small item is used as a signal about the seriousness of an entire programme, that opacity costs far more.

Eight: Media narrative

Every era of sport has a lead story. For women's sports, the lead story is usually written in one of two moulds: the inspiring overcoming-adversity arc, or the shock-upset arc.

Both moulds rely on emotion, not on foundation. And emotion fades fast. Three weeks later, no one remembers which team won, because there is no data to anchor the memory. A men's season, by contrast, can stretch a story across half a year simply by updating the standings each week.

I learned one thing after years of covering women's national teams: the durability of a story does not come from how moving it is, but from how many numbers stand behind it.

Nine: Industry transmission

Finally, the transmission chain: from publishers, through clubs, tournaments and broadcast platforms, down to sponsorship, derivative products, and mainstream cultural penetration.

Every link needs data to make decisions. Sponsors need viewership figures. Platforms need average watch time. Clubs need the commercial value of each player. When every link lacks numbers, the loop closes in the wrong direction: what cannot be measured is not invested in, and what is not invested in cannot be measured.

Where people wait for miracles, I learned to write with facts.

A counter-intuitive view

The most familiar argument I have heard over six years is this: women's sports lack commercial value, so it cannot demand proportionate investment.

I believe that argument reverses cause and effect.

Commercial value is not a natural property of a sport. It is the product of a process: someone decides to measure, publish, rank, compare, and repeat that long enough for the market to believe the numbers are trustworthy.

No men's league was born with commercial value. They were measured, packaged, and broadcast, and the value followed.

For women's sports, most of that process was never begun. When I have to manually type out the fixture list of a women's national league, I am not proving that league is less compelling. I am proving that nobody has bothered to package it into an investable product.

And here is the truly counter-intuitive point: the absence of data is not read as a gap to be filled. It is read as evidence that there is nothing there worth filling. The nine empty columns I read at 2:14 AM do not say women's sports have nothing. They say nobody has bothered to record it. But to a hurried reader, those two sentences look identical.

This is equally true at a smaller scale. When a women's player is transferred at a fee below her true value, no one treats it as newsworthy, because there is no dataset to compare against and declare the figure off. People are not lying about that fee. They simply have no tool to recognise it as a lie.

What is changing

I am not writing this to conclude that everything is going badly. Over six years, I have seen signs pointing the other way, small and scattered as they are.

Independent stat-tracking platforms are beginning to separate women's competition data into a searchable layer. A few women's tournaments are starting to publish fixtures as data tables rather than photos. Youth clubs are beginning to keep women's player records to the same standard they apply to men's players.

And I — the person who once had to build a spreadsheet of fifteen players by hand — can now sit down and write a two-thousand-word analysis in a single night, because the data supply has grown a little thicker than it was four years ago.

Here is what I want to say: when an analytical process returns nine empty columns, it is still honest, because it refuses to invent conclusions out of thin air. I wish women's sports were treated with that same honesty — not by glorifying emptiness into a moving story, but by sitting down and filling in one column at a time, night after night, until no one can again say there is nothing there worth counting.

The pitch is still lit. Only this time, I want a table full of numbers to read before dawn.