The 21-million-euro lesson: Why data alone cannot price a footballer

In January 2026, an acquaintance inside the City Football Group system asked me: "Can you believe a 21-million-euro price tag for Julian Alvarez?" I reopened six months of his data at River Plate: 14 goals, 6 assists, but a very low true-tackle figure. I concluded the risk was high, because form in South America says nothing about the ability to adapt in Europe. Manchester City signed him anyway. In the 2026-23 season, Alvarez scored 17 goals in the Premier League. I was wrong. That mistake forced me to rebuild my entire valuation method, adding weight for live-ball situations and space-creation ability instead of looking only at raw numbers. That is how I enter every transfer window now — with a disciplined suspicion of the very data I use.

The market runs on belief, not on spreadsheets

Look at a deal and people usually see only two sides: the selling club and the buying club. But behind them sit agents, data platforms, and in-house analysis rooms like the one I once occupied. Each side has its own motive to push a price up or down. Agents earn commission on contract value, so the noise they create distorts the market. Data platforms sell subscriptions, so they favour metrics that sound scientific. Clubs make decisions under time pressure, squeezed by fans and media.

In 2026, at the age of 25, I worked in financial analysis for Beijing Guoan. In the summer window, I proposed paying 12 million euros for midfielder Jonathan Viera, based on key passes and expected assists from La Liga. I ignored the factor of adapting to Chinese football. Six months later his form collapsed and the board sold him for 8 million euros, a loss of 4 million. In a closed meeting, the head coach named me directly: "Numbers cannot replace direct observation." Since then, every analysis I produce cross-checks data against at least three real match contexts. I never present a single figure without the conditions for judging it.

The market does not forgive, it only records — and I paid the price with the 2026-18 season.

The real cost of a contract

A transfer fee is never the whole cost. Take a concrete case: a 50-million-euro fee. Add wages, bonuses, agent fees, medical costs and the opportunity cost of a foreign-player slot, and the total cost of ownership over four years can exceed 120 million euros. At that point the question is no longer how good the player is, but whether the value he creates covers the total cost. Boards tend to look only at the transfer fee, because that is the number the media reports. The rest sits scattered across budget lines that nobody aggregates.

In sport, agents are the largest hidden cost. Across many deals, intermediary fees can reach 10-20 per cent of contract value, plus signing payments to players' families. These never appear in official disclosures, yet they flow straight into the club's cash flow. When the budget is tight, this is the first place that leaks.

I once handled the pandemic period of 2026 at Shanghai SIPG. In March 2026, when the entire Chinese league was suspended because of COVID-19, I immediately proposed a plan to cut 35 per cent of unnecessary operating costs: cancelling the private bus contract and renegotiating the data-analysis fee with Opta. The plan saved the club 2.3 million yuan in the second quarter, enough to retain two Brazilian assistant coaches who had initially been told to leave. I worked 18 hours a day for two weeks, building an emergency plan detailed down to the smallest line item.

When the stands are empty, I hear the sound of every yuan in the budget. A tight budget does not create poverty, it creates sharpness.

Data can deceive you

There is a widespread belief that expected goals, or xG, has revolutionised how players are judged. In my view, xG is overused. It cannot explain in-match decisions, it does not measure a player's actual form, and it does not reflect refereeing standards. A striker with a high xG but repeatedly caught offside can be unfairly undervalued. A defender with a low tackle count may be playing in a zonal system where he never needs to dive into challenges.

At Euro 2026, I noticed that Leonardo Spinazzola completed 10 successful crosses into the box in his first four matches, while wingers of comparable standing averaged only 5. I proposed a valuation formula based on an "xT from the left flank" index for five top Premier League clubs. My piece was shared more than 2,000 times on Weibo, and a player agent contacted me to collaborate. Spinazzola does not take free kicks, he imprints a new valuation rule — but that rule holds only in a specific context, with a small sample, and I have to state that clearly instead of merely listing raw numbers.

The same applies to pre-season friendly tours. Clubs are turned into travelling circuses, flying thousands of kilometres to play matches that mean nothing competitively. Player fitness is exploited for commercial ends, and then in August people blame injuries and poor form. Broadcast and ticket revenue may look attractive on paper, but the price paid is the health of the squad — a debt that never appears in the financial statements.

What it means for fans

Fans follow every match, and they deserve to understand what is really happening behind the numbers. When a club spends 80 million euros on a player, that is a financial gamble with multiple layers of risk, not an act of generosity. When a team sells a key player, it is rarely only a sporting decision. Behind it lie cash flow, liquidity and resilience.

Elite football is increasingly resembling a financial industry rather than a pure sport. Fans do not need to understand every valuation model, but they should ask the right question: what is my club paying for, and where does the real price lie?

I learned valuation from one mistake, and I never needed a second lesson.