Kenyan Athletics: When Data Decides the Fate of Women Who Run

One February morning in Eldoret, I sat in the stands of Kipchoge Keino Stadium, race results in hand. Faith Chepkoech, 21, from Nandi, had just run 5,000m in 15 minutes 12 seconds. No reporter asked her a question. No manager wrote down her name. That mark would not appear on any international news page in the coming week.

In my notebook, beside Faith's name, I wrote: "Final 400m: 66 seconds. Significant acceleration after 3,000m. Untapped condition. Altitude 1,795m above sea level."

Twenty years ago, a young athlete named Mercy Achieng sat in a similar notebook. Back then, I discovered she had an 87% pass-completion rate in the national women's football league — the highest in the competition — yet had never been called up. My article was mocked by male colleagues. Three months later, Mercy was called up and scored on her debut against Tanzania. A Swedish club then took her to Europe for a record fee in Kenyan women's football.

When numbers can name names, the whole pitch must listen.

Athletics is a brutally bipolar sport. Either you stand on the podium, or you are a line in a results list. For East African women athletes, most of those anonymous lines are bearing the burden in silence.

I once stood at the 2026 World Cup and saw only one thing: prejudice. Then I counted every pass to erase it. In the press room of the France–Belgium semi-final, an older male journalist told me: "Women should only write about fans." I did not argue. That night, I wrote an analysis of how Belgium neutralised France's pressing with a 3-4-3 shape, with data showing Kevin De Bruyne touched the ball 112 times and covered 11.2 km. A European magazine republished it. The man sent an apology.

In athletics, I apply the same method: counting every stride, every second, every metre of altitude.

In 2026, when COVID-19 froze global sport, I phoned women coaches across Kenya. I found that 64% of women athletes had quit because they lost income. Linet Atieno, 22, a striker who had scored 15 goals in the national league, trained alone with a ball made of cloth scraps. My "Silent Stars" series later forced the Kenya Football Federation to publish a support budget for women.

Since then, every article I write about women athletes comes with an investigation into their economic and social lives. I do not write about results alone. I write about people inside a system.

But the Kenyan athletics story does not live in daily life alone. It lives in the structure of the system — and in how we read the numbers.

Let us start with the qualifying mechanism. World Athletics runs a dual qualification system: either you hit the qualifying standard, or you accumulate enough World Ranking points. For a Kenyan athlete in the 5,000m, what does this mean?

Say you run 15:00 in Nairobi, at 1,795m above sea level. That mark looks unimpressive next to 14:40 run in Brussels, near sea level. But physiology tells us the opposite. At 1,800m, blood oxygen drops about 15% versus sea level. An athlete running 15:00 in Nairobi carries a physiological workload equivalent to roughly 14:35 in Europe.

This is the biggest blind spot in modern athletics analysis. We compare numbers without adjusting for environmental conditions. In economics, people adjust for inflation. In athletics, we forget that altitude is inflation.

The World Athletics points table accounts for this, but only marginally. The current altitude adjustment ranges from 0 to about 0.5 seconds over 5,000m per 1,000m of altitude. That is a modest figure compared with physiological reality.

That is not all.

When I analysed the 2026 Kenyan national championships, I saw a repeating pattern: young athletes from training camps in Iten, Kaptagat and Ngong perform well early in the season, from January to April, then drop sharply from June onward. The cause? They are pushed into too dense a race calendar — an average of 14 races per season — while European athletes race only 8 to 10 times.

This is the mathematical reason Kenya loses so many young talents before age 25: the system does not account for human physiological limits, only for points-scoring opportunities.

A 22-year-old named Gladys Kemboi, whom I have followed since 2026, ran 8 races in three months. The result: she missed the national championships with an Achilles tendon injury. In my notebook, I recorded her return date: 14 months later. She no longer runs under 16:00 for 5,000m.

This is an unmeasurable loss. And it appears in none of the federation's statistical reports.

In 2026, I built a prediction model for African teams at the football World Cup. When the model gave Senegal a 58% chance of reaching the quarter-finals, I was mocked. When Senegal did reach the quarter-finals, I wrote only one article about the method, with a warning about its margin of error.

I apply the same principle to athletics. When I analysed 10 years of data on Kenyan athletes, I found something important: athletes with the best personal bests between ages 18 and 22 are not the ones with the longest careers. The longest careers belong to those with a steady improvement curve — about 0.5% per year, with no sudden leaps.

This is a beautiful paradox. Early explosion in athletics is often a sign of early decline. Patience is the tactic of the final winner.

That is also why I treat sudden leaps with suspicion. In anti-doping analysis, there is an important principle: if an athlete's performance improves by more than roughly three times the average annual gain, that is a signal worth investigating. Not a conclusion — only a signal.

There is another trap I always watch for: the silence of data. The absence of a doping allegation in a file does not mean there is no risk. It is an absence of information, not a confirmed clean bill. In athletics, where thousands compete far from the spotlight, silence is the default state — and it hides many things.

At 61, I have learned that sport never grows old; only our way of looking at it wears out.

Most athletics fans approach the sport through the lens of medals. They remember the big podium moments, but not the Kenyan woman who finished fourth in the women's marathon that same cycle. This creates a distorted incentive system: federations invest in athletes with Olympic medal potential — a limited number — and abandon the rest.

I want to propose a counter-intuitive view: the commercial value of a record does not equal its competitive value. A national record in a low-profile event can matter more than a silver medal in a high-profile one. The reason lies in the system: that record represents a milestone of progress for the development system, while a silver medal may be only the product of one exceptional individual.

Moreover, when it comes to East African women's athletics, we must face an uncomfortable fact: the training system was not designed for women. Training camps in Iten schedule sessions based on male physiology. Nutritionists rarely account for women athletes' iron and calcium needs. Women who quit after childbirth have no support programme.

2026 taught me that the truest star is not the fastest runner, but the one bearing the burden in silence.

And when we count the strides of those women, we are not just counting sport. We are counting fairness.

Today, as I sit in Nairobi writing about women athletes, I always tell younger colleagues one thing: treat every number like a person. Behind a 15:12 mark there may be a girl running 12 km a day to reach a training camp. Behind a national record there may be a single mother trying to raise a child. Behind a ranking list there may be a generation of talent being forgotten.

Every transfer contract holds an untold story, and data is the key that opens that door.

Kenyan athletics is changing. The number of women competing at the national championships has risen from 180 in 2026 to 310 in 2026. The number of nationally certified women coaches has grown from 12 to 47. The number of women athletes with a living-wage sponsorship deal has risen from 8 to 34.

These numbers are not on the front page. But they are the foundation of the future.

The question is not whether Kenyan women's athletics will produce the next champion. The question is how many champions we have already missed because we refused to read the numbers.

And I will keep reading. One person at a time. One stride at a time. One second at a time.