The Empty Data Sheet and the Person Sitting Outside the Training Pitch

One October morning at Olympique de Marseille's La Commanderie training centre, a young analyst handed me a forty-page document. Half joking, he said it had taken him a full week. I turned the pages: squad table, running-load table, pressing table, positional-distribution table, set-piece comparison table. Every cell carried the same line, repeated over and over — insufficient information to assess. He laughed awkwardly and explained the data file had not synced. Yet the document had still been printed, still been stapled, still sat neatly on the analysis department's meeting table as a finished deliverable.

I remember an older evening. Round 12 of the 2026-18 Ligue 1 season, Marseille lost 1-3 to Lyon at the Vélodrome. I was twenty-seven, newly assigned to follow the team. After the match, a veteran reporter stopped me in the corridor with the line that the dressing room was no place for women. I stood outside for four hours, taking notes. Morgan Sanson, number 8, was substituted in the 62nd minute. He looked at nobody, walked straight to the bench, twisted the cap of a water bottle, set it down, picked it up, set it down again. Nobody wrote about that bottle. The match statistics sheet was overflowing with numbers.

Those two images have sat side by side in my notebook for years, and over time I have grown convinced they tell the same story about how professional football is quietly fooling itself with beautifully formatted templates.

Context: templates that outlive information

Ligue 1 in this decade runs nothing like the league I started following. A three-day match rhythm from August to May turns every club into a report-producing machine. The analysis department of a mid-table side now employs five to eight people, before counting outside contractors. Before each matchday, the coaching staff receives a dossier on the opponent running to dozens of pages. After each match, they receive an even thicker self-assessment dossier.

That volume does not arise from pure tactical need. It arises from something else: the need to prove the club is working professionally. When the board meets, when the owner asks where the money went, a document with a cover, a contents page and charts is an easier answer than saying we watched the tape and saw the defensive line push up too early.

My job sits at the edge of that system. I am not granted access to these dossiers, but I see them through many side doors. An assistant leaves a printout on a chair. An analyst asks me to read the opening section. A fitness coach complains he has to fill in three new forms this week.

What catches my attention is not the quantity but the durability of the structure. A report template designed for situations with abundant data keeps being used in situations with none. The empty cells are not deleted; they are preserved and filled with harmless sentences. Nobody wants to be the person who signs a blank page.

Heat maps and the new divination

Over the past decade, heat maps have taken the centre of every tactical conversation. A heat map tells you where a player was, and is then read as though it tells you what he did, when the only thing it genuinely measures is position at sampled moments.

I once sat beside a scout in the secondary stand at the Vélodrome. On his screen, a central midfielder had a heat map spreading across two-thirds of the pitch, which looked like a man commanding the middle third. My eyes saw something else: he moved constantly because he kept being dragged out of position, not because he was directing anyone. The heat map records distance, not relationships. It cannot distinguish the driver from the driven.

The problem is that heat maps are easy to read. They are attractive. They make a meeting run quickly. And across a long season, an easy-to-read tool usually beats a correct tool that is hard to explain.

Based on my experience tracking Ligue 1 matches, the gap between average position and actual role is widest in two groups: central midfielders in systems with constant rotation, and full-backs in a back three. In both groups, positional metrics are governed more by defensive duty than by attacking intent.

Back threes and the fear that wears a badge

The back three has returned forcefully in recent seasons, and it is usually presented as an advance in tactical thinking. That reading ignores one detail: most teams switch to a back three after a run of conceding from balls entering the box down the flanks, and the motivation behind the change is to protect a back four that has lost its nerve, not to open up a new attacking structure.

I do not deny the value of a back three. Some teams operate it at a very high level. But a distinction matters between a properly designed choice and a defensive reflex dressed in theory. When a team switches to a back three while keeping the same midfield circulation, the result is usually a crowded block that is slow in transition.

In my tracking notebooks, the tell-tale sign of a fearful rather than designed switch to a back three is that sideways passes in the first line increase while incursions through the final line decrease. The team plays safer, but gets no closer to the opposition goal.

Cup shocks and the lazy reading

Every season, a few big clubs are knocked out of the domestic cup by a lower-division side. The familiar reaction is to call it a miracle. That label conceals a fairly mundane chain of causes: the stronger side rotates nearly half its lineup, the weaker side commits everything and presses high from the first minute, and the atmosphere in a small ground generates a kind of pressure a large stadium cannot.

I have spent many seasons documenting such matches. What repeats is not luck but a misalignment in preparation. The weaker side knows exactly what it will do. The stronger side usually does not, because that fixture was never part of its load plan.

The difficulty for a writer sits here: such a match offers no beautiful data to quote. No spectacular xG. No long passing sequence. Only tempo, the distance between the two lines, and the fact that a defender from the weaker side runs three extra metres on every phase to cover a teammate. None of that fits any cell in an automated report.

The postman never leaves a business card

The Moscow night taught me that the truest sources usually carry no business card. At the 2026 World Cup I followed the France team from the group stage to the final, the only woman in a travelling group of twelve. I was seated in an area with no wifi. Sitting near it for days, I got to know Ivan, a postman at the Saint-Denis training ground. He told me things nobody calls data: players hiding sweets in their jacket pockets when leaving the hotel, who was last to leave the dining room, who was first in the gym. When France beat Belgium 1-0 in the semi-final through Samuel Umtiti's header in the 51st minute, I was the only one who wrote about Paul Pogba calling his daughter after the match.

Details like that do not replace analysis. They add a layer that automated analysis never touches: the human state. And across a thirty-eight-round season, the human state is a variable, not a footnote.

Empty stadiums and the lesson of listening

In 2026, football stopped. I was thirty and had a week with no match to write about. Marseille fell silent, and the cafés where supporters gathered were shut. I started calling supporters' groups across different arrondissements, recording them talking about the rituals of watching football with grandparents who had died. From that I built a small podcast group. An episode about a seventy-two-year-old man who remembered every Jean-Pierre Papin goal drew ten thousand listens in three days.

The stadium was empty, yet I could still hear the applause of thousands from memory. That experience taught me something directly applicable to analysis work: when there is no match to observe, people still have plenty to tell, and knowing when to stay silent is a skill.

What actually hides behind an empty table

Back to the forty-page document at La Commanderie. My first reaction was that it was useless. My second reaction, after reading it closely, was that it was more honest than much of what I had read before.

Stating clearly that the data is insufficient for a conclusion is an act of discipline. It costs more in presentation terms, and it makes the signatory look less confident. In an environment where confidence is rewarded, flagging an information gap is a politically disadvantageous choice.

But here is the blind spot. A perfectly formatted document can manufacture false confidence in exactly the rooms where confidence is scarcest: a table with enough headers, enough cells and enough colour can reassure a sporting director that the problem has been grasped, when in fact nobody has sat down to watch the second half again.

Outsiders tend to attribute data gaps to laziness. That attribution is easy and often wrong. Data gaps in professional football usually come from three other causes: the data does not exist at lower levels, the data exists but is not shared between departments, and the data exists but nobody has time to process it before the dossier deadline.

More worrying is a trend in my own trade. More and more analysis pieces are written from leaked internal decks or from aggregated metrics that are readily available. The writer never needs to visit the training ground, never needs to stand in a corridor, never needs to know who sat on the bench for the final thirty minutes. The press-room door closes, and I begin to hear the match more clearly — but only as long as I am still standing on the outside of that door.

Thauvin, two in the morning, and the limits of injury data

In 2026, midway through the Qatar World Cup, I took a call from Marseille's communications manager about a hamstring injury to Florian Thauvin at a closed training session. I could have published immediately and had a headline within ten minutes. Instead, I spent two hours reaching the fitness coach, the team doctor and Thauvin himself. I wrote about the fear of being forgotten in a player midway through his career, and I offered no recovery timeline.

Injury data can say a great deal about tissue, and very little about a player who feels he is losing his place in the squad. No metric measures that. No cell in an automated report is reserved for it.

The counter-reading: the framework is not the enemy

There is another way to read that empty document, and I think it deserves saying. The analytical framework itself is an achievement. It forces the writer to distinguish between what is known, what can be inferred, and what cannot yet be concluded. A report that declares its gaps plainly is better than one that fills every cell with assertions that sound reasonable but rest on nothing.

The danger lies elsewhere: in turning the framework into the final product. When a club judges the quality of analysis work by page count, chart count and presentation count, then filling an empty table with vague judgements becomes rewarded behaviour. Not because anyone intends to deceive, but because the incentive structure pushes that way.

Journalists and analysts face the same temptation: fear of the blank page. For me, resisting it is not about writing more but about observing longer. Every season is a heartbeat, and I am only trying to catch the beat correctly.

What to watch next

For the rest of the season I will track three signals. The first is how teams handle the moment they switch to a back three: whether they change the entire ball-circulation structure, or simply add another centre-back to the starting eleven. The second is the transparency of analysis departments when opponent data from lower divisions is missing: do they state the gap, or fill it with generic description. The third is whether young players in the final year of their contracts are judged by metrics or by actual minutes on the pitch.

Every contract begins on an evening when someone whispers into a phone, and most of the decisions that shape a season begin the same way: with a small detail that no data sheet managed to record in time.