Blank Cells in the Spreadsheet: Why East African Women's Athletics Keeps Disappearing From Analysis

In August 2026, at my desk in Nairobi, I reopened the compiled results file from a Kenyan national qualifying meet. The file has 214 rows, 96 of them from women's events. Sixty-one of those 96 rows are missing at least one mandatory field: no 200m split, no wind reading, no track altitude, no coach's name. The men's file from the same meet is missing nine rows out of 118. I kept the file untouched and did not correct a single cell, because every blank cell is a piece of evidence.

Ten years ago, when I was still writing for a running magazine, I thought missing data was a technical matter. Now I know it is a matter of power. Whoever gets measured gets remembered. Whoever does not get measured is only retold through emotion, and emotion cannot be looked up.

The results table is full; the data table is not

Kenya has no shortage of women's performances to record. On 2 June 2026 in Rome, Faith Kipyegon ran the 1500m in 3:49.11 and broke the world record. On 9 June 2026 in Paris she lowered the 5000m world record to 14:05.20. On 21 July 2026 in Monaco she ran the mile in 4:07.64. On 25 May 2026 in Eugene, Beatrice Chebet finished the 10,000m in 28:54.14. On 13 October 2026 in Chicago, Ruth Chepngetich ran the marathon in 2:09:56, the first woman under 2:10. On 21 April 2026 in London, Peres Jepchirchir set the women-only marathon record at 2:16:16.

Those rows are filled in. The problem sits in the rows that are not.

The analytical framework I and many colleagues use to value a result needs at least six layers: the mark with its wind reading, the altitude of the venue, the athlete's year-by-year personal best series, the competition and recovery calendar, the injury file, and the coaching structure. When a layer is empty, the correct conclusion is not “no problem” but “cannot be assessed”. The space between those two sentences is where public opinion pours in prejudice.

A point and a line

The emptiest layer in East African women's files is the year-by-year performance series. A single mark proves nothing; a line of marks proves a trajectory. When an athlete's junior seasons exist in no database at all, the industry's most important check, comparing year-on-year performance jumps, cannot run. For a male athlete, a 12-second jump over 5000m in one season is dissected immediately. For a female athlete, that check usually ends in a blank cell, and the blank gets read in two directions at once: “nothing suspicious” or “there must be something”. Both readings are judgment standing in for data.

Based on my experience watching women's finals at the national stadium in Nairobi across several seasons, I noted what appeared on the electronic board. In men's events, the board shows the leaders' 400m splits. In women's events on the same afternoon, the board shows only the finish time. Not publishing per-lap pace does not make a result wrong, but it erases the possibility of arguing about tactics. Without split data, every analysis collapses into one sentence: the winner ran fastest. That sentence belongs to a results table, not to a spectator.

The World Athletics ranking system awards points based on marks, placing and competition level. A female athlete who races many domestic meets but whose results never enter the system loses points she has already earned with her legs. The door to major championships is therefore decided not only on the track but at the data-entry desk.

At junior level the gap is wider. Kenyan school athletics stages many meets, but girls' results are often announced over a loudspeaker and on sheets of A4 paper, never becoming an electronic file. A 16-year-old who runs a strong 3000m at district level can leave no trace at all. When she appears at a national meet three years later, people see a newcomer, not a process.

Every time I sit down to write about a championship, I force myself to do something dull: take the men's results table and go looking for the equivalent women's table. At many regional meets, the women's table does not exist as a separate file. It sits at the back of one combined document, or survives only as a photo on a coach's phone.

Pretty numbers and meaningful numbers

Distance covered and sprint counts are the clearest example of how pretty data is not the same as meaningful data. Running with no purpose also produces impressive numbers. An athlete given the wrong pace, turning repeatedly around the infield, will record a higher distance figure than the woman who finished first. If a report cites only distance covered, viewers are rewarded for not having watched the race. In track and field the same problem sits in the adjustment layer: carbon-plated shoes, fast tracks, cold weather, pacemakers. A mark always has two parts, the athlete's ability and the dividend from equipment, track and circumstance. That dividend is only ever demanded back in women's files.

The men's record book carries milestones that get dissected lap by lap: Eliud Kipchoge ran 2:01:09 in Berlin on 25 September 2026, Kelvin Kiptum lowered it to 2:00:35 in Chicago on 8 October 2026. Both were picked apart for splits, pacing, fuelling and shoes. When Ruth Chepngetich ran 2:09:56, most coverage circled around the question of validity rather than how she divided the race.

The injury layer is almost always blank. Training centres publish an injury when the information suits them, and stay silent otherwise. A female athlete absent for four months might have a torn tendon, burnout, a pregnancy or a family reason. Those four possibilities lead to four different professional conclusions, but the media has one word for all of them: vanished. Medical privacy is the athlete's right. The absence of public data is the system's responsibility, and the system has never carried that responsibility for women.

The same repeats in the anti-doping layer. The absence of data is not evidence of cleanliness; it is the mark of a gap nobody has filled. In East African women's files, out-of-competition tests are recorded far less often than for men of the same level. When an athlete has fewer stored samples than a male peer, her biological history is thinner, and if a dispute erupts ten years later she has fewer tools to defend herself. Protecting female athletes starts with collecting more samples and keeping fuller records.

The invisible tacticians of East African athletics do not sit in meeting rooms. They are the record keepers: a referee clicking a split watch, a coach noting every lap, a mother marking her daughter's training days on a wall calendar. I once met a coach in Iten who kept notebooks for twelve female athletes, one page each, listing date, distance, how they felt, how they slept. No organisation funded that notebook. If it were lost, the history of twelve women would disappear from every analysis. The first channel is always the hardest, but someone has to hold the microphone.

The counterintuitive corner

Filling blank cells with moving stories fixes nothing. It is worse than leaving them blank.

A blank cell forces an analyst to say “insufficient data”. A cell filled with red dust and worn shoes creates the illusion of understanding. That kind of writing turns a female athlete into a character in a moral tale, not the subject of a results table. It also hurts commercially: sponsors do not pay for sympathy, they pay for data they can forecast with. When a brand weighs backing a women's meet, the first questions are audience figures and media reach, not how moving the story is.

In my own survey of press-conference airtime at four East African meets in the 2026-2026 season, discussion of women's tactics accounted for less than a quarter of the total time given to men's events at the same level. Most of the time journalists asked about circumstances, family and work. Not because female athletes have nothing to say about tactics, but because nobody asked.

What is changing

If you want to know why East African women's athletics is still undervalued in analysis, do not start with the medals. Start with the blank cells in the spreadsheet.

Over the past three seasons, a handful of Kenyan county federations have begun keeping separate women's results files, with a splits column and a coach column. Those files are not published yet, but they exist. The pioneer for the next generation is not always the fastest runner; sometimes it is the person who fills all six columns in a spreadsheet.

I am not looking for a level playing field. I draw my own lines. The next generation of Kenyan female athletes does not need another tribute. They need a full notebook.