Data 
General Expected Goals, Unexpected Results: What AI Can Do on the Football Pitch
Football has always trusted the eye test, experience and instinct, but those are no longer enough on their own. From scouting a left-back in Scandinavia to analysing why a team struggles to progress the ball, data is now involved in almost every football decision. Recruitment teams can search thousands of players in seconds, analysts can break down matches in incredible detail, and coaches can access insights that were almost impossible to produce a decade ago. AI is adding another layer, helping football departments find patterns, filter information and turn complex data into something useful. More information, however, does not automatically mean better decisions. Modern football is still played by humans, there are just a lot more algorithms watching now.