Blank Cells on the Results Sheet: How East African Women's Athletics Data Goes Missing in Transfer Season

Blank Cells on the Results Sheet

On a hastily printed results sheet at Nyayo Stadium in Nairobi, three split-time cells sit empty in the middle of the row. The borders are still there; only the figures are missing. A technical official picks up a blue pen, writes "N/A" into the first cell, and signs the bottom corner. The woman finished third in the 1,500 metres, bent over to catch her breath, took off her shoes, and walked barefoot around the track to cool her heels. No device recorded where she accelerated at the eight-hundred-metre mark. Nobody measured whether her final 200 metres were faster or slower than the previous lap. The paper confirms she ran. The paper says nothing about how she ran.

I keep that sheet in a plastic folder, alongside 38 handwritten pages I found in the archives of the Football Kenya Federation, covering 2026 to 2026, written by a late assistant coach. Two different sports, two different decades, one identical nature: they record that something happened, and stay silent about almost everything that happened inside it.

Thirty-eight dust-covered pages, and one refused interview that became a door.

Context: market noise and the silence of the track

We are in the middle of transfer season. For three weeks, the flow of news about Kenyan women's athletics on international wires has mostly revolved around contracts, release clauses, wage bills in European women's football, and rumours that a handful of East African internationals will move to clubs in North America. Fans are drowning in noise. Newsrooms reward that noise with clicks.

Meanwhile, a national-level athletics meet in Eldoret ran with its electronic timing system broken from the heats onward. Organisers switched to hand timing. The final results contained finish times only, no splits, no per-lap average speed, no wind data. Nobody treated that as news. No contract was affected by a blank data row.

Now place the two side by side. A transfer worth a few hundred thousand dollars generates twelve articles, three podcasts and hundreds of reposts, even though most of the content is speculation about a clause nobody has read. A female 1,500m runner with a mark close to an international qualifying standard is recorded in a single line of handwriting. The information imbalance is absurd, and it is systematic rather than accidental.

Based on my experience attending meets and matches in person over many years, a fairly stable rule emerges: the data quality a female East African athlete receives is inversely proportional to the distance between where she lives and the headquarters of major media organisations. The further she runs from the centres of power, the fewer cells get filled in.

Pamela Jelimo won the women's 800m gold at the Beijing 2026 Olympics at the age of 18, becoming the first Kenyan woman to win an Olympic title. That milestone is in the record books. But data on how she ran in the years before Beijing is almost absent from any public database. We know the result. We do not know the process. For East African women's athletics, that is close to the default.

Core: five warning signs when data is missing

When I analyse an athletics performance, I build a checklist before allowing myself any conclusion. The list has five items. What matters here is that in the context of East African women's data, all five are routinely in an undetermined state — and that undetermined state is itself the most important piece of information.

First, wind and altitude. World Athletics' record ratification rules cap assisting wind at 2.0 metres per second for sprint and jump events. A mark set above that threshold retains competitive value but carries no record value. The problem is that most local meets in Kenya, Ethiopia and Uganda have no working anemometer on site. Without a wind reading, nothing can be confirmed or excluded. A 10.9-second performance in Nairobi could be a breakthrough, or it could be the product of a gust nobody recorded. That ambiguity does not help the athlete; it simply gives anyone who wants to dismiss her a technical pretext.

Second, the equipment dividend. Since January 2026, World Athletics has capped road-shoe sole thickness at 40mm and required shoes to be available on the open market for four months before being used for a record. The rule followed a wave of track and road records broken in carbon-plated shoes. For most female East African runners, who train and race in shoes supplied by aid programmes or bought second-hand, matching a specific shoe model to a specific result is impossible. We tend to assume every performance reflects the raw ability of the feet alone. That assumption is technically wrong, and it is especially wrong for athletes without access to the latest technology.

Third, small samples. One good race does not make a class. One good race plus ten poor ones makes a profile. But in local women's meets, a runner's annual starts can often be counted on one hand — because of travel costs, a thin calendar, and families who will not permit distant trips. When the sample is too small, every conclusion is fragile. And because every conclusion is fragile, nobody invests.

Fourth, unratified training marks. I have received more than twenty messages from coaches in the Rift Valley announcing that a trainee had just run an "Olympic-standard" figure in a closed session. No session was independently timed, no officials, no start list. Those figures may be real, may be estimates, and are mostly a blend of both. They have value in the training group. They have no value in an analysis.

Fifth, missing split data. This is the one I consider most serious. A runner who covers 1,500m in 4:12 can distribute her effort in dozens of different ways. Someone who blasts the first lap and fades over the final 300 metres is a completely different athlete from someone who runs evenly and kicks over the last 200. Without splits, the two become one. Every capacity to assess tactics, forecast potential and design training vanishes. And this happens to most young female East African runners during the most important years of their careers.

On her feet, I saw an entire generation that has never been named.

I want to be clear about one point, because it is often misunderstood. Missing data does not mean weak performance. It means we do not know. In sports analysis, "we do not know" is a valid and necessary state. Problems arise only when people fill the gap with feeling. A coach looks at a hand-timed figure and believes his athlete is world class. A scout looks at the same figure and believes she is a local talent. Both are guessing. Both are half right. And both are making decisions about a person's life based on an empty cell.

Contrarian angle: commercial value does not need data, and that is the problem

The reflex assumption is that good data leads to good valuation. In the women's sports market, the direction of causation runs the other way.

A good story outsells a split table. A female athlete with a compelling overcoming-the-odds narrative receives sponsorship, event invitations and media attention regardless of how thick or thin her technical record is. Meanwhile a faster athlete with no story to tell and no data to prove herself remains invisible. The market rewards storytelling over competitive ability. The data gap does not hurt the market. It feeds it.

I cried when I saw a professional female gamer called by her own name on an international scoreboard.

In esports, every action is logged automatically, every metric persists forever, and every argument about ability can be settled with data. Yet that industry is being eroded faster than traditional sport by betting activity, simply because its regulatory framework lags behind its own growth rate. East African women's athletics sits at the opposite extreme: international regulation is fairly tight, but grassroots data infrastructure barely exists. Two opposite poles, one identical outcome: the athlete pays last.

I write biographies to pull back the invisible curtain that men's football has drawn over women's sport.

The stadium is empty, but her voice still echoes — the ball does not need a stand to know where it belongs.

In 2026, in a café in Amsterdam, Vivianne Miedema told me something I carried with me for three months. She described how, when Euro 2026 was played in empty stadiums during the pandemic, the strangest part was watching that emptiness being framed by the media as a tragedy. For women's football, invisibility is a permanent condition, requiring no pandemic to trigger it. An empty stadium for three weeks is breaking news. An empty stadium for thirty years is normal.

That remark applies directly to athletics. For female runners in Kenya, Ethiopia and Uganda, the data gap is not a technical fault waiting to be fixed. It is the default condition of life. They grow up inside a system that never intended to record their journey, and they compete inside a system that only starts recording once they have won something big enough to sell.

An athlete's value lies in the fate that her performance changes, not in the size of a transfer fee.

What is changing, slowly but genuinely

There are signs worth noting. A few national athletics federations in East Africa began digitising domestic meet results in 2026, though split data remains thin. NGOs focused on women's sport have placed timing equipment in some youth academies, attached to a mandatory condition: data must be stored and published within seven days of the meet. The requirement sounds small, but it changes the nature of everything. Once data is stored, it can be cross-checked. Once cross-checked, it can be disputed. Once disputed, it is forced to exist.

What I hope for is not prettier tables for analysts. I hope for something more concrete: when a fourteen-year-old girl in Iten runs a lap, and that performance is properly recorded, she has evidence to say she is improving. She does not have to wait until she wins a medal to be called by her own name. She is called by her own name from the first lap.

And once that becomes the standard, we will have to revisit a great deal of what we believed. Generations filed under "insufficient data" may have run faster than the results sheet ever allowed us to know. The blank cells on that paper in Nyayo do not say she ran slowly. They say nobody was ever obliged to look closely.