From BBC Sport · · 2m
Manchester City's 650,000-Player Data Strategy
City uses data to find hidden gems in a 650,000-player pool, signing players like Elliot Anderson who metrics initially overlooked.
In brief
City uses data to find hidden gems in a 650,000-player pool, signing players like Elliot Anderson who metrics initially overlooked. Data and scouting combine to identify players who thrive in City's high-press system, even when traditional metrics miss their potential. Originally reported by BBC Sport.
Data-Driven Player Search
Manchester City starts with a 650,000-player database to identify talent for transfers.
Three-Step Player Evaluation
City assesses players by ability, overall characteristics, playing system, and manager's demands.
Data Filters Narrow the Field
Data reduces 650,000 players to 20-50 names before scouting adds further context.
Elliot Anderson's Case Study
Anderson was initially overlooked by metrics but his potential in City's high-press system made him a key signing.
Radar Chart Analysis
Radar charts measure specific on-field metrics like defensive regains and line-breaking passes for player evaluation.
The 650,000-Player Database
City's database includes players from around the world, with filters to find those matching their tactical needs.
Data Meets Scouting
Scouts and data analysts work together to understand a player's potential beyond what metrics show.
Julian Alvarez Signing
City signed Julian Alvarez for £14m after data showed he would develop into a top-tier midfielder within two years.
Khusanov's Data Story
Abdukodir Khusanov improved his on-ball metrics significantly after joining City in January 2025.
Manager Change Impact
The switch from Guardiola to Maresca didn't alter City's data approach, as both prioritize possession and high press.
Selling Players Strategically
City uses data to spot declining trends early, selling players like De Bruyne before their performance drops.
Age Reduction Strategy
City lowered their squad's average age to the third youngest in the Premier League while maintaining trophy-winning potential.
Data's Role in Success
Data helps City identify players who thrive in their system, even when traditional metrics don't highlight their potential.
The Balance of Data and Scouting
City's data and scouting teams work together to find players who fit both their system and the individual's potential.
Future of City's Data
City's data system predicts their squad will peak in two to three years, keeping them title contenders.
Data-Driven Squad Overhaul
After winning the Treble in 2023, City overhauled their squad using data to find players who fit their high-press system.
At a glance
Data and scouting combine to identify players who thrive in City's high-press system, even when traditional metrics miss their potential.
