Women's Athletics and the Battle for Data: The Empty Cells No One Fills

Part 1: When the File Is Empty

There is a type of document I have received more often than any other in five years of tracking athletics: a document with a full analytical framework, full section headings, but every content cell left blank. Article title: none. Source: none. Information points: empty. Core viewpoints: empty. List of relevant entities: unresolved. Timing: not assessed. Source quality: undetermined. All that remains is a single surviving field — the domain label "athletics" — like the faint trace of something that once existed, once ran, once breathed, and then vanished from every record.

I have grown used to this feeling. It does not come from laziness on the part of the writer, but from a deeper structure: most of what happens on the women's track is never recorded well enough to analyse. The race was real. The mark was real. But the file is empty. And when the file is empty, the memory of the race fades too, until all that is left is a one-line brief no one remembers.

That is the central paradox of athletics — a sport measured to the hundredth of a second, yet one of the most poorly documented of all, especially in women's events.

Part 2: The Paradox of a Measured Sport

Athletics is a sport of numbers. Every start, every jump, every throw ends in a number measured electronically to the hundredth of a second or the centimetre. That is why people assume athletics is the easiest sport to analyse: just read the number and you understand. But my experience says the opposite.

A 100m mark means nothing without wind speed. A long jump cannot be compared without knowing the venue's altitude. A marathon medal can be questioned if the carbon-plated shoe has not been certified under sole-thickness rules. A number, divorced from context, is just a dot on a page.

Then there is the matter of coverage. In 2026, when two classmates and I surveyed 2,000 sports articles published on various platforms in a single month, we counted 1,937 articles on men's football and 63 on women's football. The ratio 1,937–63 does not lie on the pitch. It lies on the page. For women's athletics the gap is even wider, because athletics is already under-reported, and women's athletics even more so.

That shortfall is no accident. It is a silent statement of value. In 2026, at seventeen, I sat in the third row of a youth women's football final and counted the crowd myself: 127 people. Not a single reporter was present. That night I wrote a 1,200-word piece and got 47 likes. From then on I understood that what was missing was not only spectators, but chroniclers.

Women's athletics is in a similar state, but one layer deeper. In football, at least the score is recorded. In athletics, even the data needed to understand why a mark was produced is not recorded. And when the input data is empty, all analysis becomes impossible — not because the analyst is poor, but because there is nothing to analyse.

In an 18-square-metre room, I watched 52 matches and a revolution. But that revolution was only visible because I had complete footage. For women's athletics, most of the footage does not exist. And what does not exist cannot be analysed.

Part 3: Decoding a Mark — the Number and Its Conditions

If there is one biggest lesson from years of analysing athletics, it is this: a mark has value only when accompanied by the conditions that produced it. This is what mainstream media routinely ignores, and it is what makes so many athletics briefs meaningless.

Start with wind. In sprint and jump events, wind speed is measured in metres per second. A record is recognised only when the tailwind does not exceed 2.0 m/s. Beyond that threshold, the mark still appears on the scoreboard, but it no longer carries comparative value against history. An athlete who runs 10.90 with a +3.2 m/s wind is not faster than one who runs 11.10 in still air. But if the brief only says "10.90", the reader will believe she has improved.

Then altitude. Venues above roughly 1,000 metres create a natural advantage in short sprints and jumps, because thinner air reduces drag. A mark set at altitude needs correction before it is compared with a mark set at sea level. This is basic knowledge for analysts, yet it almost never appears in popular articles.

And finally shoes. Racing shoes with carbon-fibre plates and supercritical foam have reshaped the entire marathon ranking over the past decade. They can improve performance systematically, to the point that federations had to impose sole-thickness limits and require shoes to be on the market for a set period. A marathon record that does not specify the shoe is an under-informed record.

Three factors — wind, altitude, shoes — form the minimum filter any serious athletics analysis must pass through. Without them, the number is an illusion of progress.

There is another layer few notice: competition conditions. A mark set in a heat is entirely different from one set in a final, because in a final no one holds back. A mark set in a densely scheduled meet differs from one set after several rest days. Even temperature and humidity affect distance events. These variables together form a picture a single number cannot carry.

For years I have kept the habit of recording each mark together with its conditions. That notebook taught me that most "breakthroughs" on the page are ordinary marks measured in favourable conditions. And most "declines" are ordinary marks measured in unfavourable ones.

Part 4: The Body, Its History, and Peaking

Analysing an athlete cannot stop at the current mark. It must begin with the personal-best curve and the season's-best progression year by year. That curve tells you where the athlete stands in her career: exploding, stable, or stalling.

One suspicious signal is an abnormal personal-best explosion — when a mark leaps in a single year by several times the average annual improvement. This can be caused by a training breakthrough, but it can also be caused by other factors that need verification. A responsible analyst does not conclude, but asks: where did that jump begin?

Alongside that is the injury map. Each athletics event has its own characteristic injury group. Sprinting tends to involve hamstrings and Achilles tendons. Jumping involves knees and ankles. Throwing involves shoulders and elbows. Distance running involves bone stress and feet. Knowing which event an athlete competes in narrows the risk zone. But if the brief does not name the event, nothing can be narrowed.

Here a painful industry problem appears: medical confidentiality. Clubs and federations often release only injury information that benefits their image. The result is that fans and media are left in the dark about an athlete's true condition. An athlete absent from a meet may be absent due to serious injury, or due to a training plan, and the public has no way to tell.

And finally, peaking. An elite athlete does not compete at full strength year-round. She is programmed to reach peak form at the target competition. So a modest mark in May may signal a good plan, not a decline. Conversely, a spectacular mark outside the target competition may signal that peak form is being burned too early.

The body of a track-and-field athlete is a history of medicine and training, and no one can read that history if it was never written down. That is why I always begin every analytical file with the question: what do we actually know about this body, beyond the final mark?

Part 5: The Road to the Start Line

Before an athlete runs, she must be entitled to run. This sounds simple but is one of the most complex parts of modern athletics, and also the part most ignored by media.

There are two main paths to a place at a major meet such as the Olympics or the World Championships. The first is meeting the qualifying standard — a minimum time or distance within a defined window. The second is accumulating World Ranking points across multiple meets. These two paths create entirely different strategies, and sometimes conflict.

An athlete may choose to pour everything into one meet to hit the standard, or to spread her efforts across many meets to collect points. Each choice has its price. And above both is the quota: each country may enter at most three athletes per event. This means an athlete may meet the Olympic standard yet still not go, simply because three compatriots are better.

In some countries the selection system is even harsher: a single meet decides everything. An athlete may dominate the whole season but have one bad day on selection day, and lose her place. Conversely, an athlete who has proven nothing may step into the biggest meet of her life thanks to one timely performance. These structures produce shocks the results table cannot explain.

For women's athletics in many countries, this quota is even crueller, because lower investment leads to fewer athletes meeting standards, yet the performance pressure is no smaller. A place at a meet is not only a story of speed, but a story of the system behind the speed. A brief that only says "athlete X secured a place" without saying by which path loses half the story.

I once followed a young female athlete through an entire season of constant point-chasing. She competed in fourteen meets in seven months, a density almost unthinkable for a human body. By the last meet her marks had dropped noticeably. On the page, that was a "decline". In my notebook, it was the consequence of a selection system that does not allow rest.

Part 6: The Power Map of Women's Athletics

Athletics is one of the sports with the clearest power map. In some events, one country can dominate for decades. In others, the world witnesses generational handovers, as an old power fades and a new force rises.

Analysing this map requires at least three layers of information. The first is the strength of leading athletes — who holds the world lead for the season. The second is squad depth — how many athletes a country has in the leading group. The third is the talent pipeline — how that country is developing the next generation.

A country can have one shining star, but without a talent pipeline, that star will fade without leaving a successor. Conversely, a country with no star at the peak but a solid pipeline is a long-term threat. This is the kind of analysis short-term briefs never reach, because it requires time and patience.

Four landscape models recur. The first is single-ruler dominance, when one athlete dominates an event for years. The second is a two-horse race, when two athletes push each other to new heights. The third is a wide-open melee, when no one truly stands out and the title can go to anyone. The fourth is generational transition, when a cohort of veterans leaves and a new one has yet to take shape.

For women's athletics, the power map also reflects another reality: investment. Countries that invest heavily in women's sport tend to have better women's results, but the relationship is not linear. Some countries spend very little yet still produce outstanding female athletes, thanks to local sporting culture and exceptional individuals. And some countries spend a great deal yet still have modest women's results, because money does not run by itself.

What I always look for in analysis is the signal of shift: a country rising, a country falling, a generation growing. Those signals often appear before the results table reflects them, and that is where the analyst's value shows.

Part 7: The Rules Casting a Shadow over the Track

No athletics event exists outside the rule system. And over the past decade that system has become more complex than ever.

The centre of the system is anti-doping. The most important tool today is the Athlete Biological Passport, a long-term monitoring system for blood and hormone markers that can detect abnormalities a single test would miss. Alongside it is the whereabouts system: elite athletes must file their location daily, and three missed tests in twelve months constitute a violation.

Then come eligibility rules, including testosterone-limit provisions applied to certain women's events. This is one of the most controversial topics in modern athletics, because it places science, human rights, and competitive fairness on the same scale. Finally there is the Authorised Neutral Athlete mechanism, allowing athletes from suspended federations to compete under a neutral banner.

There are also equipment rules, such as sole-thickness limits and the requirement that shoes be on the market for a set period. These rules sound technical, but they can decide whether a record is ratified.

Each of these rules casts a shadow over a mark, and an analyst who ignores them will draw conclusions that are inadvertently wrong. But equally important: when information about these rules is not recorded, silence does not mean "clean". It means "unknown". This is the distinction media routinely blurs.

In my work I never assign a doping suspicion to a specific athlete without evidence. But I also never implicitly declare someone clean merely because there is no information about her. Honesty lies in saying plainly: this has not been verified.

Part 8: Story, Market, and the Trap of Numbers

Finally, an athletics mark is not only a number. It is a story, and that story has a market.

There are narrative templates media favour: a young talent emerges, breaks a record, national glory, a comeback from injury, a farewell. Each template has a heat cycle: germination, rise, climax, then cooling. A good analyst must know which stage a story is in, so as not to be swept along by the crowd at the peak of euphoria.

The most important test for an analyst is the gap between expectation and reality. When the public expects a record and the data shows the mark was set in favourable conditions, that gap is the blind spot. When the public calls an athlete declining and the data shows she is in a conditioning phase, that gap is also the blind spot.

Behind the story is the real market: shoes, broadcast rights, endorsement deals, and the data market too. Over the past decade, wearables and data services have become part of the athletics ecosystem, generating unprecedented data on every stride. But more data does not mean more understanding. What turns data into understanding is not volume, but the ability to ask the right question.

For women's athletics, this market is younger. There are fewer personal sponsorship deals, shorter broadcast windows, and the number of specialist reporters can be counted on one hand. That is why women's athletics stories are often told through bare numbers, without depth, and thus no one remembers them.

I go to the stadium not only to watch football. I go to see who is allowed to tell the story. And in athletics, the one allowed to tell the story is usually not the fastest runner, but the one with the most data.

Part 9: The Counter-View — When an Empty File Is More Honest Than a Full One

Here I want to offer a view that runs against intuition, and may annoy some people.

We tend to think the problem with athletics is a lack of data. But on closer inspection, the problem may be the reverse: we have too much wrong data, or right data that is meaningless. A brief stuffed with numbers, stuffed with confident conclusions, but without a single verifiable information point, is more dangerous than an empty brief. An empty brief is at least honest: it says "I do not know". A full but hollow brief lies, saying "I know everything".

I have received analyses with full headings, a full framework, but every content cell marked "insufficient information". At first I thought it was a failure. But then I realised: it may be the most honest document I have ever read. It invented no athlete. It invented no mark. It assigned no doping risk to anyone. It simply said: when the input is empty, the conclusion must be empty.

Meanwhile, every day, countless athletics articles are written with firm conclusions built on information points that do not exist. An athlete is called declining because of a low mark, without anyone checking whether she is in a conditioning phase. A record is celebrated without anyone asking what the wind speed was. Those word-filled files are what is actually harming athletics.

Tactics do not need an auditorium. They need eyes that truly know how to see. And those eyes must distinguish between a real number and an inflated one, between a conclusion backed by evidence and one written only to fill a blank.

She does not need a status. She needs a seat that is written about. And more than that, she needs a seat written about correctly.

Part 10: What Is Changing

The change is happening, but more slowly than we think. More and more women's athletics meets are broadcast in full, more detailed data is published, and more reporters understand that a number does not speak for itself.

But the real revolution is not in collecting more data. It is in changing the question: instead of asking "how fast did she run", ask "what produced that speed, and who recorded it". In an 18-square-metre room, I watched 52 matches and a revolution. That revolution began with a very simple question: who is allowed to tell this story?

That final no one wrote, so I wrote it. And while the file is still empty, the answer is still waiting to be written.