Tennis and the Empty Analysis Frame: The Line Between Data and Fiction

The spreadsheet opened with seventeen rows and not a single cell filled. I sat in a flat in Liverpool, hands on the keyboard, and I already had a very good opening line in my head. That moment is the most dangerous one in my job: when the page is blank, a sportswriter tends to invent events to fill the space.

I have done exactly that. On 11 July 2026, at Luzhniki, I wrote that England would beat Croatia in the World Cup semi-final because Croatia were older, slower, and had just come through two matches lasting 120 minutes. Croatia won 2-1. Luka Modrić ran the game with short strides I described as purposeful walking. I did not delete the piece. I went on a livestream and analysed my own mistake in front of three hundred viewers. World Cup 2026 taught me that arrogance is an own goal nobody saves.

Eight years later, I still open a blank spreadsheet before every major tournament. It reminds me that the hardest part of sports writing is not reaching a conclusion, but enduring the stretch of time in which there is no conclusion at all.

An industry that manufactures templates

Every Grand Slam fortnight lasts two weeks. During those two weeks, English-language sports desks produce thousands of previews, verdicts, and technical breakdowns. Most pass through a fixed template: recent form, head-to-head, surface, serve statistics, break-point conversion, injury notes, predicted result. The template is useful, and it is a trap. Every cell demands data. When the data does not arrive, the writer must choose between leaving it blank and filling it in.

I entered the trade in 2026 as a fact-checker at Sports Illustrated. My first job was not writing; it was making phone calls to confirm a statistic that had appeared in someone else's draft. That work taught me that official data from a major match comes from several parallel systems: the ball-tracking system, the tournament's own statistics desk, and the broadcaster's log. The three disagree in small ways — a serve counted as an ace by one source and a return error by another, a rally counted as a winner or as an opponent's mistake. Those small deviations do not ruin a piece.

The danger lies elsewhere. When the data system fails and returns a completely empty sheet, an inexperienced writer will tell a fluent story from memory of a match watched three months earlier, and deliver it in the tone of someone who has just finished an eighteen-page report.

In tennis, ball-tracking tells you where the ball landed, but not how the player decided. The tournament's statistics desk can count service winners, but it cannot count the times a player changed the direction of a serve to avoid an opponent's forehand return. There are structural gaps that no device fills, and that is why my trade still needs someone sitting in the stands.

In 2026, when the stadiums of Liverpool stood empty because of the pandemic, I began recording sound at three amateur grounds: wind, a rolling ball, players shouting. I called it Arena Ghosts. I abandoned it after two months to chase an idea about esports, leaving two friends stranded. The producer Sarah James watched a short film I had posted and called me: “You have an odd eye. Come and work with me.”

The project collapsed and opened another door. What I learned is that what I gave Sarah was a short film with concrete visual evidence, not a four-page proposal full of adjectives. In my trade, evidence beats fluency. Arena Ghosts was not cancelled — it is waiting for a season brave enough to tell it.

I keep a notebook I call the warehouse of unfinished ideas, recording every abandoned sketch with a date and a reason for stopping. Three years later, two of them became full film treatments, and the rest remind me that an idea not yet ripe is better than an idea inflated.

Break points, surfaces, and the ranking list

The first slice sits at the break point, the most abused statistic in tennis.

On 22 June 2026, in the first round of Wimbledon, John Isner and Nicolas Mahut walked on court and stayed there for three days. The match lasted 11 hours 5 minutes, the fifth set ended 70-68, 183 games in total, more than two hundred aces. For most of that final set, not a single break point was created. A preview of that match built on season-long break-point conversion would have said nothing about what happened on the grass. When serving dominates to that degree, the very idea of a chance changes meaning.

The same thing repeats at a smaller scale every week. A player converting 2 of 3 break points in a five-set match gets called clutch. The same player, across a season, may sit at the tour average. Two pictures, one reality, and the prettier picture always gets published.

My method is plain: I log every break point by game number and by scoreline, separate break points in the first set from those in the deciding set, and compare the player with his own previous season. A sample of three points is still three points, however well it is told.

The second slice is the surface, and here I owe a debt to Spanish clay.

At academies around Barcelona, where I grew up through six-hour sessions, the forehand topspin is taught as a tool for changing the height of the ball. It leaves the strings with thousands of revolutions per minute, lands on clay, and kicks up to shoulder height. The same stroke, same force, same contact point, placed on Wimbledon grass, becomes something else: the ball skids low, travels fast, and gives nobody time. A winner count gathered on hard court and used in a Roland Garros preview sends the reader the wrong way from the first line. A stroke has no fixed truth. The surface decides it.

There is a pacing example I still tell whenever someone asks why I follow athletics. In the 800 metres, the best runner is not the fastest over the first two hundred metres but the one who controls the rhythm through the middle four hundred. A five-set tennis match works much the same way. The Wimbledon semi-final of 14 July 2026 between Novak Djokovic and Rafael Nadal ran to 10-8 in the fifth set and finished close to the tournament's 11 p.m. curfew. The Wimbledon final of 6 July 2026 between Roger Federer and Rafael Nadal lasted 4 hours 48 minutes and closed at 9-7 in the fifth. On paper they belong to the same genre. Read through how the two players distributed effort game by game, and they belong to different worlds.

The physical cost of a professional season also lies in surface switching. The European clay swing ends, grass arrives, and the North American hard courts follow within weeks. Schedule density is the single biggest cause of injury; no medical staff saves a player asked to compete twice a week for three months. When I write about an injury, I count matches and flight hours beforehand. Official statistics never hand you that part of the data.

The third slice is the ranking list and the entry list.

Points to defend, protected rankings after injury, wild cards, and late withdrawals are four variables that turn a draw into a living document until the ceremony ends. I have been asked to write about a section of the draw before the seventh seed had confirmed he would play. That draft would exist before the draw existed. Writing it would mean selling readers something that looks like analysis and behaves like a prediction.

A cross-sport method helps me ask better questions; it does not excuse me from verification. In 2026, I built a video using data to argue that Roberto Firmino was a pressing scanner rather than a false nine. I counted 23 pressing actions in Liverpool's Champions League match against Manchester City, nine more than Raheem Sterling's average in the same game. The twelve-minute video was called tactical vandalism by some supporters and reached forty thousand views in a week. My point is not the view count. Counting pressure in football taught me how to read pressure in tennis: count the actions that lead to a result, not the result.

In tennis I map return positions, count how often a player steps inside the baseline within the first four shots of a return game, and log the depth of the return. None of that appears on the stadium scoreboard. It helps me form a hypothesis. It does not answer the hypothesis for me.

In 2026, Sarah put me on Liverpool's summer transfer window to look for hidden angles. With three friends I listed forgotten young players and settled on Sheyi Ojo, then on loan at Millwall. While other reporters covered wages, I found a three-million-pound buy-out clause buried in a leaked contract. I published the exclusive and added no speculation. Ojo's agent called to thank me, bought me coffee, and said: “You know how to tell a story without hurting a player.” Restraint is a skill, and the hardest one to train in this trade.

The counter-intuitive angle

A wrong statistic is dangerous, but it carries a self-correcting mechanism: someone will spot it and publish the right figure. A blank cell has no such mechanism, because it gets filled with memory, instinct, and story. An empty dataset is therefore more dangerous than a wrong one. It does not object. It silently agrees with whatever the writer wants to say.

The industry's incentives push the other way. Firm claims get shared more than hesitant ones. A prediction generates argument, argument generates views, views feed the newsroom. In that spiral, a data gap becomes free raw material. A writer needs no evidence to claim a player is out of form; he needs the player's face after a lost point, and one adjective.

I have to argue against myself here. There are moments when the human eye is the only instrument left. No statistical system measures the hesitation in a serve at 30-40, when the player has stood at the baseline for twelve seconds and the stands have gone quiet. But observation is data too. It is simply data gathered by one person, under one set of conditions, on one particular day. My job is to label it. I do not sell predictions; I sell hypotheses. There is an ocean between the two.

Every tactical diagram is an orderly lie — I go looking for the truth behind it.

I also want to keep a distance from the people in the story. When a player slides for three months, the cause may lie in a wrist, in a new coach, in a contract running out, or in the fact that he has just become a father. A sportswriter has no right to judge a person from a statistics sheet. The same goes for coaches. I question tactical choices; I do not question the competence of someone I have never sat down with.

What remains after the season

When an analytical frame is empty, the only honest move is to spell out three things: the period that remains unverified, the scope of the missing data, and the confidence level of each claim. Modern readers are sharp enough to tell a supported hypothesis from an unsupported assertion. Labelling does not weaken a piece. It makes it truthful, and truth is the only thing left standing when the season ends.

The spreadsheet still had seventeen empty rows this morning. I left it that way, switched off the machine, and started the match footage again from the beginning.

Based on my experience of watching matches, a sportswriter only learns the craft when he accepts that most questions will not be answered the same day. If you read something of mine tomorrow and cannot tell which parts were verified and which are the guesses of a man who has watched far too much tennis, then I have failed. And what could be more frightening than a sports press where every empty cell has been filled in, and nobody checks what it was filled with?