Futbolnomics
Economia del futbol

The day Transfermarkt valued Adeyemi at 40 and Barça paid 22

The gap between crowd-sourced valuation and actual transfer price is not a system failure: it is the system answering a different question from the one the market asks.

Bruno SolerBy Bruno Soler·July 11, 2026·6 min read
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Barcelona have just signed Adeyemi for 22 million plus add-ons. His Transfermarkt value reads 40. Almost half. And rather than screaming bargain of the century, the sensible move is to ask why the consensus of thousands of keyboard fans was off by 18 million on a single player. The answer is not that Transfermarkt is a scam. It is that Transfermarkt answers one question very well and another one very badly, and almost nobody distinguishes which one they are asking.

Transfermarkt ranks brilliantly and calibrates poorly. It knows perfectly well that Adeyemi is worth more than Getafe's third centre-back and less than Mbappé. That ranking, that hierarchy, it nails. What it cannot do is translate that hierarchy into an exact euro figure for a specific deal, on a Tuesday, with a club that needs to sell and another that smells blood. That is where 40 becomes 22 and the fan's mental model breaks down.

Academic literature has been saying exactly this for more than a decade, even if it sounds odd outside the papers. Studies validated the whole enterprise by comparing what the community sets against what clubs actually pay, and found strong correlations, in the range of 0.7 to 0.9 on logarithms. High correlation. Sounds like a triumph. Until you look at the mean percentage error, which shoots up to tens of points. Translation for those who do not live inside spreadsheets: Transfermarkt gets the order right but gets the amount wrong, and gets it more wrong the more money is involved.

0.7–0.9
Correlation range (on logarithms) that academic literature finds between Transfermarkt valuations and actual transfer prices. High correlation, but with a mean percentage error running into tens of points.
Source: Academic literature on collaborative player valuation

The reason lies in the shape of the distribution. There are thousands of cheap players and a handful of extremely expensive ones. A very long, thin right tail. Any estimator trying to put a point figure on that distribution will fall short precisely where the most money moves, because the collaborative average pulls toward the centre while the elite escapes upward. Sports economists call this the transfer premium, and it grows with the player's level. That superstar effect is non-linear; popularity inflates price in a way no forum valuation captures well.

The fascinating part is that computers do not do much better. Reproducible models have been built using publicly available data from the major European leagues and set to compete against Transfermarkt's collective wisdom. The algorithm draws. R² in the same range of 0.7 to 0.9, mean percentage error also running into tens of points. The machine only gains a marginal edge, and only when fed popularity variables: press mentions, page views, social media presence. Thousands of fans arguing in a thread match an econometric model trained on open data. That is the finding that underpins the entire operation.

It is worth remembering how the number is made. Transfermarkt has no algorithm. Registered users propose values and debate them in forums, and a layer of senior moderators aggregates that discussion and fixes the official value. Wisdom of crowds, yes, but moderated. It is not an arithmetic mean or a statistical model; it is a judgement filtered by people with expertise who discard the noise. And it works. That is the point that throws off anyone expecting to find a secret formula behind it. There is no formula. There is ordered conversation.

Back to Adeyemi and his 40 versus 22. The gap is not a system failure; it is the system operating in a case where we know it deviates. A contract winding down depresses the real fee because leverage shifts to the buyer, and the selling club that needs cash accepts less than the player is worth on paper. Rushed sales, forced exits, players pushing to leave — all of it drags the price below the collaborative value. Transfermarkt marks the consensus of what the player is worth in the abstract. The fee reflects the concrete negotiation, with its urgencies and its power plays. Those are two different questions, and fans conflate them constantly.

The same dynamic runs in reverse. An elite striker bought by an English club almost always exceeds his Transfermarkt value, because a Premier League premium exists for the purchasing power of those clubs, and a rich-buyer premium exists too, since the same player costs more if a giant signs him. Young high-potential players are bought above present value, purchasing projection. Homegrown players carry a price premium due to squad registration rules, especially in England. Each of these biases is identifiable, and therefore correctable, if one bothers to apply the right adjustment factor instead of trusting the round number.

There is also the problem that the real fee is dirty data. The press typically reports the maximum including add-ons, not the guaranteed portion. When you say Barcelona paid 22 million plus add-ons, that plus add-ons is precisely what contaminates any comparison with the Transfermarkt value. Part of the divergence between value and price is not crowd error; it is measurement error in the price itself. The headline overstates by excess and the valuation understates by conservatism, and in between sits a reader convinced they have witnessed a bargain or a rip-off when they have witnessed statistical noise.

At this point the obvious objection must be acknowledged. One could argue that if the mean percentage error runs to tens of points, then Transfermarkt is barely useful for anything operational, and there is something to that. If you need cardinal precision to model the profit-and-loss of a transfer window, the collaborative baseline is not enough and you need a proprietary model calibrated on real fees — the kind that estimate value from transfers incorporating performance, age, contract length and league level. Moreover, most of these studies cover the major European leagues from the mid-2000s to the mid-2010s, and their validity for smaller markets, women's football or post-Neymar inflation is not guaranteed. Anyone who uses Transfermarkt as an exact oracle deserves to lose money.

But as a directional compass it remains hard to beat, and that is the paradox the Adeyemi signing illuminates without meaning to. The number it shows is not the price. It is a consensus valuation, lagging behind market shocks because it adjusts by reacting to deals already closed and recent performance. Reliable at the mean and median, biased downward in the tail where the elite plays. Adeyemi's 40 was a snapshot of consensus. The 22 was a negotiation. Confusing the snapshot with the invoice is the most expensive mistake the fan who fancies himself an analyst makes, and the cheapest one to avoid. The next time you see a scandalous gap between value and price, do not ask how accurate Transfermarkt is. Ask what question you were putting to it.

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Bruno Soler

Bruno Soler

Economics and strategy

Bruno Soler is an economist with an MBA. It was during that master's that he met Carla Costa, and together they spotted a gap in how football is covered: most media focus on what happens on the pitch, while very few explain the economic forces that shape the sport. With that idea they founded Futbolnomics, an outlet specialized in the business of football, where Bruno brings his experience in economics, business strategy and finance to explain — with data and context — how clubs, transfer markets, broadcasting rights, competitions and the multi-billion-dollar industry actually work.

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