The Empty Column: How Tennis Conclusions Get Written Before the Evidence Arrives

Six twelve in the morning, practice court number seven. The fitness coach opens the tablet resting on a plastic chair. On the screen is a serve-placement map for the player the tennis world has been talking about all week: fourteen cells, ten of them empty. Four carry data, and three of those come from a match on a different surface, at a different event, five weeks ago. He says one sentence, and I write it into my notebook verbatim: We have nothing to say about him yet.

Ten hours later, in the press room, that same player is the subject of a nine-hundred-word analysis. The piece draws firm conclusions about a weak backhand, about nerves in tie-breaks, about being ready for the second week. Not one line of it comes from those ten empty cells. All of it comes from cells filled with something else, and that something is called expectation.

The practice court has no spectators, but every answer is there. Most of the conclusions published about tennis each week do not come from it. They come from a file with a proper headline, proper subheadings, ready-made fields to fill, and almost no data. A file that looks highly professional. It is simply empty.

The preview machine

A professional tennis week runs on a fairly fixed rhythm. The weekend is qualifying, Monday is media day, Tuesday is the first day of play. Before the first ball is struck, every tournament already needs a large volume of content: draw previews, contender lists, expert picks, head-to-head comparisons, surface breakdowns, injury updates and schedule notes.

At the centre of that machine sits a data table with four familiar column groups. The first is ranking and points to defend. The second is head-to-head history. The third is results by surface. The fourth is physical condition and match density. A writer can build almost an entire analysis from those four groups, and most previews are built exactly that way.

The trouble starts when one group is empty. Head-to-head can be empty if the two players have never met. Surface results can be empty if a player has just moved from the clay swing to the grass swing, or from grass to the North American hard courts. Defending points can be empty if the player skipped the event last year. Physical condition is almost always empty, because injury lives in the locker room, not on the wire.

In the world of data, an empty cell has a clear meaning: unknown. In the world of content, an empty cell means something else: fill it. And empty cells get filled with whatever is easiest to find rather than whatever is most accurate. Crowd sentiment, reputation, memory of an old match, or simply expectation attached to a ranking.

What makes this hard to spot is that professional tennis scoring is brutally precise. A Grand Slam title is worth two thousand points. A Masters 1000 is worth one thousand. An ATP 500 is worth five hundred. An ATP 250 is worth two hundred and fifty. There is no ambiguity at this level. Because the layer below is so solid, people assume the layer above is solid too. That sense of certainty leaks into areas nobody can measure.

The points table measures pressure, not ability

Points arithmetic is the most reliable tool a tennis watcher has. When a player arrives as defending champion, he carries two thousand points that can be wiped out with a first-round loss. At a Masters 1000 the figure is one thousand. At a 500 event it is five hundred. The maths is verifiable, public, and independent of anyone's feelings.

But the points table answers only one question: how much pressure. It does not answer the second, more important question: whether the player can carry that pressure. Those two questions get mixed together constantly. A man defending two thousand points is described as being in crisis when he is simply standing in front of a higher wall than usual. A man defending nothing is described as soaring when he is simply playing with nothing to lose.

People look at the scoreboard. I look at the empty column. The gap is what decides which conclusions are permitted and which have to wait.

The forty-page notebook

I keep one notebook per tournament, forty pages, ruled by hand. The first page lists the players and their seedings. The pages after that hold what I collect on the practice court: first-serve percentage across a two-hundred-ball set, the number of times a player steps inside the baseline on a second serve, how often a point ends with a cross-court forehand, how many times he takes two steps back after being pushed wide to the backhand. Nobody hands me those numbers. I stand there and count.

The forty-page notebook never lies. If a player spends an entire morning drilling one serve and stops after twenty minutes, the notebook says exactly that. If he hits two hundred serves and stops once his success rate drops below his own average, the notebook says that too. Those notes are not exciting. They are only accurate.

Their value lies elsewhere. When a player loses in the third round and gets labelled mentally fragile at the decisive moment, I can open the notebook and check. Over his last three events, how many break points did he save in the deciding set, where did the second serve go at those points, which direction did he choose when trailing. If the data shows his break-point save rate is stable and above average, the label is wrong. If the rate has dropped sharply for three straight weeks, the label is right, and I am obliged to write it.

That is the whole of my working principle. Every piece of praise and every criticism has to produce its evidence. A judgment without data is just an opinion written in a confident voice, and a confident voice is not evidence.

Three signs of an empty file

After years of reading other people's previews, I have learned that an empty file always leaves traces. The first sign is order of appearance: the conclusion is written first, the data is found afterwards. In a healthy file, the writer starts from a number and moves to a judgment. In an empty file, the judgment comes first and the numbers are selected to serve it.

The second sign is where the quotes come from. An empty file rarely quotes wrongly. It quotes things that cannot be checked: an unnamed source inside a coaching team, a general feeling across the industry, a trend with no figures attached. The third sign is the clearest: in the comparison table, the cells reading unknown outnumber the cells reading a number. A table with twelve cells, seven of them empty, is still presented as a complete table. Readers do not see the empty cells. They only see the table.

When a blank cell reads as no risk

This is the most dangerous point, and I want to state it plainly because it concerns how a data table is read. A table with many empty cells is usually understood as a table that found no problems. In my line of work it means precisely the opposite. It means nothing has been checked yet.

I once built an injury tracker for a five-week hard-court swing. The left column held names, the right column held physical condition. After the first session, two thirds of the right-hand cells were blank, not because the players were healthy, but because nobody had told me anything and I had not seen anything with my own eyes. If I had sent that table to the desk and let them interpret it, they would have read it in the most optimistic direction possible.

The only way to avoid that is to label the state of the table, not just its contents. A blank cell must be marked unverified; it must not be left silently empty. The distance between those two presentations is the distance between a news item and a guess formatted as a news item.

More data does not fill the blank

The first reflex on seeing an empty file is to demand more data. That reflex is wrong, and it is making things worse. Adding data to a file that has never been verified does not make it more accurate. It only makes it look fuller, and therefore harder to doubt.

Over the past decade the volume of data available to a tennis writer has grown enormously: serve-location maps, distance covered, spin rates, win rates at specific scorelines. If volume were the story, the quality of analysis should have risen with it. It has not. What has grown is the length of the articles, not the reliability of the conclusions.

The reason is that volume and reliability are two different jobs. Volume is produced automatically. Reliability is produced by manual labour: someone making calls, cross-checking, and taking responsibility for the number they publish. Tennis puts far more resources into producing content than into checking it. That is a structural imbalance, not a technology problem. Another layer of graphics will not fix it.

The second counterintuitive point, and I know it is unpopular: sitting on a practice court from six in the morning is widely treated as obsolete. Slow, data-poor, unsystematic. But in a week when the data tables have not opened yet, the only thing left to write from is direct observation. That is when six in the morning is worth more than four in the afternoon. When everyone watches the ball, I watch the hand directing from the sideline, and that hand usually tells you where the match is going before the ball does.

One more paradox. In the same week, the most quoted figures in the press room are usually the oldest ones: Novak Djokovic's twenty-four Grand Slam titles, Rafael Nadal's fourteen Roland Garros titles, Roger Federer's twenty major titles. Those numbers are true, verifiable, and have been written a thousand times. Meanwhile the actual subject of the week, the man walking onto court in forty-eight hours, has exactly four cells of data. That is the paradox: what has already happened is trusted, and what is about to happen is guessed.

What to track next

Three signals I will record in the notebook during the coming hard-court swing. First, how many genuinely populated cells appear in the serve tables of qualifiers, because that group is barely tracked and produces the most surprises. Second, the gap between first-serve percentage in practice and in the opening match, because that gap shows how much outside pressure a player is carrying onto the court. Third, the moment in the week when each player stops his serve session, because the moment he stops is always more honest than the press conference afterwards.

One question I leave with the people at the desk. When a file with ten empty cells goes to the front page, who signs their name to it, and do they know they are signing an empty cell.