There was a period, roughly a decade or so, when a club with a decent analytics department could reliably find undervalued players. The models identified profiles that traditional scouting undervalued, the selling clubs didn't know what they had, and the buyer captured the difference.
That window has largely closed, and the way it closed is a fairly clean illustration of how informational advantages decay in any market.
The original edge
The early advantage came from a specific asymmetry. Some qualities in footballers are easy to see and some are hard.
Goals are easy. Dribbles are easy. Spectacular passes are easy. These get priced efficiently because everybody notices them.
Progressive carrying, defensive positioning that prevents attacks from starting, pressing intensity, the ability to receive under pressure — these are hard to see, easy to measure, and were systematically underpriced. A club that valued them could buy good players cheaply.
Several clubs built genuine competitive advantages this way. The results were visible enough that everybody else noticed.
How it eroded
Three mechanisms, operating together.
Tool diffusion. The platforms that provide these metrics are commercially available. A mid-table club in a second division can subscribe to the same data as a Champions League side. The metrics that identified undervalued players are now on everybody's dashboard.
Staff mobility. Analysts move between clubs. Methods, and sometimes models, travel with them. An approach developed at one club is being used at three others within a few years.
Selling-side adoption. The decisive one. Selling clubs now run the same analysis on their own players. A club that knows its holding midfielder ranks in the top decile for progressive passing in the division prices him accordingly.
Once the seller has the same information as the buyer, the information isn't an advantage. It's just the market price.
What replaced it
Clubs that are still doing well from recruitment have moved to advantages that are harder to replicate.
Proprietary data. Tracking data from leagues nobody else covers. Bespoke collection. Data that doesn't come from a subscription and therefore isn't universally held.
Better models on the same data. If everybody has the same inputs, the edge is in what you do with them. This is a genuine advantage but a narrow and temporary one, because good methods eventually diffuse too.
Integration with coaching. Knowing which player profiles work in your specific system, which is club-specific knowledge that can't be bought. A club with a stable playing identity across years accumulates this; one that changes manager every eighteen months doesn't.
Speed and decisiveness. If everybody identifies the same target, the club that moves fastest and executes cleanly wins. This is an organisational advantage rather than an analytical one, and it's underrated.
Development capability. Buying a player at his current value and making him better. If you can reliably improve players, you don't need them to be undervalued.
The new inefficiencies
Markets don't become fully efficient, they just shift where the inefficiency lives. A few places it seems to have moved.
Contract timing. Discussed elsewhere but it remains the most reliable source of value. Clubs are still systematically bad at managing contract expiries, and the resulting discounts are large.
Injury history discounting. The market appears to overreact to injury history, pricing in a risk premium larger than the actual risk in some cases. Clubs with confidence in their medical department can exploit this, and several apparently do.
Age cliffs. Valuations drop sharply at certain ages in a way that doesn't match performance decline. Players in their late twenties are often available below their contribution, particularly if resale value is not your priority.
Unfashionable leagues. Not the ones without data, the ones with data that carries a stigma. Certain competitions are discounted by more than their quality difference justifies.
The uncomfortable conclusion
Before getting to that, one more mechanism worth naming, because it operates quietly and it is the reason the erosion happened faster than anybody expected. Agents read the models too.
An agent representing a midfielder who ranks well on the metrics that clubs are known to value will use exactly those numbers in negotiation, and will shop them to the clubs most likely to weight them heavily. That turns a private analytical insight into a marketing document within one transfer window. Several agencies now employ their own analysts specifically for this, which is a sensible response to the incentives and a fairly complete inversion of what the original edge depended on.
The players themselves have noticed as well. It is not unusual now for a footballer to know his own percentile ranks and to reference them in contract discussions, which would have been unthinkable a decade ago and is entirely rational today.
Here's the part that analytics enthusiasts tend not to say out loud.
If the information is universal and the market prices it, then recruitment advantage reverts to the things it always depended on: money, reputation, and the ability to offer a player a better career. Which are exactly the advantages that big clubs already had.
Analytics was supposed to be the tool that let smaller clubs compete. It did, for a while. Now it's a hygiene factor — you need it not to fall behind, and having it doesn't put you ahead.
The clubs still finding value are doing something the others aren't, and increasingly that something is expensive. Proprietary data collection, strong development infrastructure, organisational stability. All of which cost money.
Which is a fairly standard outcome for a technological innovation in a competitive market, and slightly deflating for anybody who hoped it would be different.