There is a special kind of confidence that comes from having never watched a full match. Somewhere in 2024, a consortium of venture capitalists and machine learning enthusiasts decided that football—a sport perfected over 150 years by millions of humans—was actually just a statistics problem waiting for their algorithm to solve it.
The pitch was irresistible: AI could predict match outcomes better than Vegas, optimize team selection better than managers with decades of experience, and probably brew better coffee too. Investors saw the World Cup and saw only one thing: a spreadsheet with untapped value. One proposal even suggested replacing human coaching with machine learning models. Not assisting coaches. Replacing them.
This is where the satire writes itself. These were people willing to bet serious money on the idea that Pep Guardiola’s tactical brilliance—the ability to read a pitch in real time, adjust to an opponent’s weakness mid-match, motivate eleven humans under crushing pressure—was essentially just slow computing. That a neural network trained on historical data could account for Mbappé having a bad day, or a referee making a call that changes everything, or the simple fact that sport is partly about chaos.
Football is not chess. It is not poker. It is not even stock trading, where at least everyone is playing by the same rules and the rules do not change based on a linesman’s eyesight. It is eleven humans trying to outsmart eleven other humans in real time, with incomplete information and adrenaline.
The scheme collapsed because it had to. You cannot automate away the human element when the human element is the entire sport. But the thinking behind it reveals something true about modern capital: the belief that every problem is just a data problem waiting for enough computing power and VC funding to crack it. Sometimes the answer is not in the algorithm. Sometimes it is on the pitch.