When 12,000 Bot Accounts Wrote a 25-Million-Euro Price Tag

In August 2026, at a cafe a few hundred metres from Montilivi stadium, I opened my laptop and downloaded every interaction from the Instagram account of a 22-year-old defender. The club had just sold him to an English side for 25 million euros, ten times the valuation of every statistical analysis site I could find. Among 40,000 interactions, 12,000 accounts shared a single API password. The 25-million-euro figure was not produced on the pitch. It was produced in a server room that nobody checked.

I do not trust transfer quotes; I trust the numbers that were struck out.

The inflation cycle of a market

Between 2026 and 2026, Spanish football witnessed a kind of inflation never seen before. Players who had not yet played 50 top-flight matches were sold for thirty times their statistical value. The market was no longer a bidding war between giants. It became a self-reinforcing loop in which value was created by the very media structure tied to the club.

I began to notice this while building a file on Real Betis in 2026. Back then I found that the hematocrit level of a Brazilian winger rose from 43% to 52% in just eight months. Betis hid the doping inside the contract annex; I read page by page in reverse to find it. Two years later, that player was banned for erythropoietin. The lesson I drew was not about doping. The lesson was this: every anomaly leaves a trace in the documents, if only someone bothers to read.

Girona is the clearest example of the new cycle. After promotion to La Liga in the 2026-2026 season, they sold Pau Romero, a name I changed to protect my source, to a mid-table Premier League club. On Transfermarkt at the time, the player was valued at 2.5 million euros. The contract stated 25 million. Between those two numbers lies a gap that no authority wanted to fill.

What I found was not on the pitch. It was in the contract between the club president and a media company run by his own younger brother.

Systematic dismantling: from raw data to conclusion

My method had four steps. First, collect all of the player's social-media interactions over eighteen months. Second, separate real accounts from fake ones by cross-checking posting times, API passwords and linguistic patterns. Third, trace the money from the personal sponsorship contract back to the parent company. Fourth, compare it with actual match data.

The result of step two showed that 12,000 of the 40,000 accounts were bots. They posted at fixed hours, used the same vocabulary set, and most importantly, all had registered through the same API gateway. Those were not fans. That was infrastructure.

The result of step three showed that the media company owned by the president's brother signed an image-building contract with the player three months before the deal was completed. The contract was worth 400,000 euros. That money was spent from the club's budget, meaning from the club's own funds, only to come back as leverage on the sale price. A closed loop: the club's money paid the president's family company, so that company could inflate the player's image, so the club could sell the player at a higher price.

In terms of metrics, this player had a tackle success rate of 68%, but a loss-of-possession-through-misplaced-pass rate of 22%, unusually high for a defender valued at 25 million euros. Over the final three matches of the season, the team's PPDA rose from 9.8 to 13.2, meaning the pressing capacity of the whole system fell sharply. Based on my experience watching matches, a highly valued defender should be the one pulling PPDA down, not the one letting it rise. The player was not sold because he was good. He was sold because his price tag had been written in advance.

In 2026 they closed the press-room door; three decades later I threw the file wide open.

I also tested another hypothesis: whether there was a gap between social-media interaction and the player's actual local popularity. The result showed that while his account gained 340% more followers in six months, shirt sales at the club's official store rose only 12%. That mismatch between the two numbers is the classic signature of fake engagement. Three months before the deal, the player's account gained 2,100 followers per week. That number fell to 200 per week immediately after the contract was announced. The bots had completed their task, then vanished.

Contrarian angle: the reasonable part of what gets called fraud

I have to admit something many colleagues do not want to hear. Using media to raise a player's value, in purely economic terms, is not entirely unreasonable. A small club like Girona does not have the budget to compete with money. They compete with narrative. In a market where perception sometimes matters more than data, image-building is a legitimate strategy, until it crosses the line of authenticity.

The problem is not storytelling. The problem is faking engagement to turn a story into a fake truth. Here, thirty percent of the interaction was fake. That ratio changes the nature of the deal, from marketing into manipulation.

And there is a bigger blind spot: the regulator. The Spanish football federation ignored my 3,500-word investigation in 2026. Only in 2026 did UEFA begin requiring player valuations based on real metrics. Two years late. In those two years, hundreds of millions of euros changed hands. From the 2026 press room to the Girona bots of 2026: power only changes its shirt.

I was once blocked from the commentators' area at the 2026 World Cup because my press pass carried a female name. I bought a ticket in the stands, filmed the match with a mini camera, and sent a fifteen-second clip to a refereeing body. No one changed the result. But they used it to train referees for Euro 2026. The system rarely changes because of one article. It changes because of hundreds of accumulated pieces of evidence.

A thought worth pondering

When a player is sold for ten times his real value, the one who suffers is not only the buying club. The one who suffers is the next young player, judged by bot numbers instead of minutes played. Before deepfakes there were transfer rumours; both are tricks that need to be exposed. If we keep trusting unverified price tags, we are letting an invisible network write the careers of eighteen-year-old kids. The question is no longer who does it. The question is who will be the first to take responsibility for reading the server logs.