The Empty Report at Valencia: The Trap of Silent Data

On August 20, 2026, Valencia CF announced the sale of captain Dani Parejo and midfielder Francis Coquelin to Villarreal. Spanish media at the time recorded the combined fee for both deals at around 10 million euros. I reopened the analysis file I had sent to the coaching staff during the three months La Liga was suspended by the pandemic. Forty-seven pages. Twenty-nine pages had no comparative data. Eleven pages contained only notes on video training sessions. The remaining seven were blank tables. An almost empty report. Nobody in the meeting room read it as a void. It was read as a confirmation: no serious fitness concerns, no signs of a fractured dressing room, no data objecting to the sale of the captain. The empty report became a passport. Since then, every time I receive a dataset, I check one thing first: which cells are empty, and who is going to read those empty cells. The 2026-20 La Liga season was torn in two. On March 12, 2026, the league announced the suspension of all matches. It resumed on June 11 and finished on July 19, with a compressed calendar and an unprecedented density of fixtures. At Valencia, that period overlapped with another crisis: the club was late on wages, the Nou Mestalla project had stalled, and sale rumours appeared in nearly every Spanish sports outlet. In the table, Valencia finished outside the European places — a result that did not match a squad that had reached the Europa League semi-finals and won a Copa del Rey final under Marcelino. By August, three pillars had left in the same month: Ferran Torres to Manchester City for a reported fee of around 23 million euros, Rodrigo Moreno to Leeds United for around 30 million euros, and the Parejo-Coquelin pair to Villarreal. The story I want to tell is not about the value of those three deals. It is about the fact that all three were justified with the same sentence: we have no data showing otherwise. I call this the affirmative void — the state in which an empty data cell is read as a positive conclusion. During a regular season, people are used to using numbers to prove that a player is declining, that a pressing system is collapsing, that a full-back is losing his position. When the data source disappears, that habit does not disappear with it. It simply reverses direction. The three months of suspension removed three data groups that every coaching staff depends on. The first was load data. Normally, every training session and every match leaves a set of numbers: total distance, high-speed running, accelerations, anaerobic-threshold distance. During lockdown, players trained alone. Some sent screenshots from personal smartwatches. Others sent nothing. Some sent data from devices producing metrics entirely different from the ones the club used. There was no way to normalise those numbers into a credible fitness curve. The second was pressing and structural data. The PPDA metric — passes allowed per defensive action — requires real matches. No matches, no PPDA. Without PPDA, nobody knew where the pressing block would sit after three months off, which line would open up, and how many metres the gaps between the three lines would stretch once players lost their feel for competitive space. The third was market data. Player valuations froze across Europe. A club that needed to sell to balance its books had no basis for pricing, and no basis for knowing whether it was selling cheap or dear. Under those conditions, every transfer becomes a gamble dressed in administrative language. Those three groups combine into an empty report. And that empty report walked into the meeting room as evidence. Here I have to talk about my old profession before talking about football. I was trained to read balance sheets, and the first principle of auditing is very simple: a lost invoice is not a zero expense. It is an unidentified expense. The difference between those two descriptions is the entire content of this article. In football, people constantly confuse unidentified with absent. An empty fitness report is read as fitness is fine. An empty dressing-room report is read as the dressing room is calm. Parejo's departure was justified with a very reasonable argument: he was 31, on a high salary, and the club needed to cleanse the squad. Nobody tested that argument against the reverse question: if the captain leaves, who organises the play in the first 90 minutes of the following season? Based on my experience following matches, I learned that questions like that can only be answered with match data. And match data had stopped flowing. In 2026, when I first joined Valencia's coaching staff as a tactical analysis assistant, I was challenged in a press conference. A veteran male reporter asked whether I really understood Marcelino's pressing block or was simply there for appearances. I did not answer. That weekend I sent the staff a fourteen-page analysis of how the team lost 62 percent of ball control in the left channel, with positional diagrams for every turnover. Marcelino adjusted his line-up for three consecutive matches afterwards. The lesson I drew was not that data beats argument. The lesson was: when data exists, an analysis can be tested, and the analyst can be contradicted. When data does not exist, nobody is contradicted, and that is precisely when the biggest error can occur without anyone noticing. Data does not lie, but the people who read data do. In June 2026, I got a match wrong because I was missing one environmental variable. In Volgograd, England met Tunisia on a blazing afternoon with recorded temperatures above 30 degrees Celsius. I had built a scenario of England pressing high in the familiar pattern. In reality, the average distance covered by England's players dropped noticeably from the previous match, the tempo was released, and Tunisia created chances they should not have had. Harry Kane scored the decisive goal in the 91st minute, and the match finished 2-1 to England. A good result does not repair an analytical error. I had ignored a variable that existed before kick-off. Since then, every analysis I write has a section called non-tactical factors: temperature, humidity, pitch surface, flight distance, rest days, and the tendencies of the assigned referee. That section is not part of what data providers return. I have to build it myself, and I have to take responsibility when it is empty. That is the central insight of the Valencia 2026 story as I see it: the silence of data is not a neutral signal, it is an unfilled signal — and an unfilled signal always favours whoever wants to keep things as they are. Whoever wants to sell the captain reads the empty cell as no objection. Whoever wants to cut the wage bill reads the empty cell as no fitness risk. Whoever wants to delay spending reads the empty cell as market uncertainty. None of them is lying. They are simply reading a blank page and calling it a clean report. What is notable is that this mechanism does not need a pandemic to activate. It needs only a week with three matches, a long flight, a training session cancelled by rain, or a data provider with a server fault. In every one of those cases, the table does not become wrong. It becomes incomplete. And the person reading an incomplete table often cannot tell the difference between those two states. In the 2026-21 season, as Valencia entered the opening phase with a squad stripped of its spine, what happened on the pitch reflected exactly the void that the August report had left behind. The team did not collapse immediately. It lost the ability to control the tempo of matches in the decisive minutes — precisely the period when an experienced captain is usually the one holding the wheel. That is a limited inference, I know. But it is the only inference I could later verify with data. Here I want to go against a widespread belief in the industry: that more data produces better decisions. That thinking is right on average, but it ignores a dangerous consequence. When an organisation is used to operating on data, losing data does not return it to a state of deciding by eye. It pushes it into a state of deciding by inertia — because the processes remain; only the numbers are gone. The second consequence is the data shadow. The places with the least data tend to be the places with the least money: second divisions, women's football, youth football, leagues outside Europe. A scout with no data on a player in those environments writes insufficient information in the report. Many such reports, added together, create a market in which the absence of data is read as the absence of talent. That is one of the reasons players from under-scouted leagues are systematically undervalued. Then there is a layer rarely discussed in tactical writing: live data. Some providers sell real-time data feeds to betting companies. That is the darkest side of sport's digitisation, because it creates an economic incentive for information asymmetry inside the stadium itself. When a match is interrupted, when a data feed drops, the market does not read it as nothing happened. It reads it as nothing unusual happened. The same error, at a different layer. And the final blind spot sits with the fans. We are used to reading the post-match stat sheet as a complete summary. But that sheet contains only what was measured. What was not measured — where a midfielder stood when the team lost the ball on the opposite flank, how many times a centre-back had to shout to reorganise the back line, a player choosing not to receive the ball in space — does not appear, and therefore does not exist in the debate. A rule written in blood, not in ink. The rule here is: whenever data is missing, state clearly that it is missing, rather than letting it quietly turn into a conclusion. Before asking why we lost, ask what we prepared for. Valencia did not get relegated because of an empty report. The club struggled for many reasons combined, including financial reasons beyond the control of any coaching staff. But within the decision chain of the summer of 2026, there was one link I witnessed first-hand: the gaps in the file were not recorded as unidentified. They were recorded as no problem. Every regular season will contain weeks when the data runs dry: a congested calendar, injuries, a postponed match, a provider failure. When that happens at your club, open the report and count the empty cells. Then ask yourself: this week, who benefits from those cells being left empty? The press conference room is not for the timid; it is for those who have the numbers.