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How Manchester City Use a 650,000-Player Database to Rebuild Their Squad
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How Manchester City Use a 650,000-Player Database to Rebuild Their Squad

1 hour ago·4 min

At the heart of Manchester City's transfer strategy sits a single guiding question: "What does it take to win?" That philosophy shapes every step of the club's recruitment process — from a global database of 650,000 players down to the moment a deal is signed.

City's data department predicted last season that Arsenal were favourites to win the Premier League title, and they were right. This season, with five wins from five Premier League matches, supporters and pundits are tipping City to push the Gunners hardest once again. The club, however, is keeping its own projections private.

BBC Sport has been given unprecedented access to City's data operation, revealing how metrics and scouting combine to drive one of the most sophisticated recruitment machines in football.

From 650,000 names to one signing

Every recruitment process begins with City's database of 650,000 footballers worldwide. Once the club identifies a position it needs to fill — itself a detailed exercise, since City categorise full-backs alone into three distinct types — filters grade overall ability and reduce the database to a longlist of between 20 and 50 names.

That longlist is then cross-referenced with reports from traditional scouts, and more refined metrics are applied to rank the candidates further. Scouts complete additional due diligence to cut the list to around six players. At that stage, each candidate is assessed on injury history, athletic output, and behavioural habits, all compiled into what City call an acquisition pack.

These packs include a radar chart of on-field metrics, a utilisation chart showing how much a player has featured over three years, a scouting grade, a current impact score, a potential impact score, and an action value score — which places the player in a table alongside City's own squad members and rivals in similar roles.

Juventus full-back Andrea Cambiaso is one player the data flagged for City's attention, notably for his ability to step into midfield build-up and his comfort on both feet. Although City decided against pursuing him in the previous transfer window, he is expected to remain on their radar.

How Jeremy Doku was recruited

When Jeremy Doku arrived in 2023, then manager Pep Guardiola had a specific brief: a direct winger in the mould of Leroy Sane, to complement Jack Grealish and Riyad Mahrez, who both preferred possession and cutting inside. City's algorithm assessed criteria including take-on percentage, runs into the box, pressure regains, and opposition-half pressure.

Doku's numbers matched Guardiola's requirements, though his rating for running into the box was initially one of his weakest areas. City point to his improvement in that metric since signing as evidence that their data systems help develop players, not just identify them.

The Elliot Anderson deal

The £116 million acquisition of Elliot Anderson from Nottingham Forest illustrates how deeply embedded data is in City's decision-making — even when a signing might appear obvious.

Anderson, 23, had established himself as a key player for Nottingham Forest and earned a regular England place. City beat out rival interest, including from Manchester United, to land him. Yet despite his clear quality, Anderson's raw metrics were not immediately eye-catching — a fact City's staff acknowledge openly.

City knew early in last season that they would need at least one central midfielder in the summer. Bernardo Silva's departure was anticipated, and there were questions over the futures of Rodri and Nico Gonzales. Even so, City ran Anderson through every stage of their normal recruitment process, underlining that no signing — however well-regarded — bypasses the system.

Data and scouting working side by side

Sporting director Hugo Viana was clear about the limits of data when speaking to BBC Sport. "Data plays a role in our decision-making, but it is just one part of the overall picture," he said. "We know data cannot tell us everything about a player. It cannot fully show a person's character, mentality or behaviour. That is why we study data insights but focus on the expertise of our scouts and other specialists."

City's data team also monitor the market in real time. The rapid rise of Yan Diomande last season prompted City to run checks on him before he joined Real Madrid from RB Leipzig. The club also tracked Eduardo Camavinga's metrics closely in case Real Madrid moved to sell a midfielder.

Since the Treble-winning campaign of 2023, only four players from that squad remain. The overhaul — guided by data, refined by scouts — reflects a club that treats recruitment as a science as much as an art.

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