FIFA World Cup: Teams Race for AI Dominance, Football AI Pro

FIFA will make a bespoke AI agent called Football AI Pro, powered by Lenovo, available to every nation at the World Cup while the tournament’s systems will track around 150 million data points per match. Ball sensors alone will log 500 movements per second via IMUs to trace the ball’s motion.

How are teams using AI at the World Cup?

Teams use AI to turn sensor feeds and match tracking into scouting data, tactical plans and player-level insights. Data companies and in-house analytics teams process the 150 million data points per match and the ball’s 500 movements per second into event and trajectory information that fuels scouting, transfer valuations, lineup choices, set-piece routines and penalty analysis.

Stats Perform underpins much of that work: Patrick Lucey, chief scientist at Stats Perform, describes soccer as having “more permutations (in a game) than there are atoms in the universe,” and points to multi-agent trajectory analysis as the technical analogue to autonomous vehicles. National federations combine that granular match data with dedicated platforms and staff—data scientists, software developers and analysts—to speed formerly manual work. England’s performance team, for example, has cut opponent penalty analysis from what once took five days to likely five hours.

Can FIFA's Football AI Pro close the data gap between big and small nations?

Football AI Pro is designed to give every team access to a ChatGPT-style interface and 3D match recreations so coaches can query opponent tendencies without building their own large analytics stacks. Johannes Holzmüller, FIFA’s director of innovation, says the federation sees it as “our goal, and even our task, to provide technology to all the teams, so that everyone has access and can use it in a simple way without having additional experts on the team.”

That support addresses a clear resource mismatch: some nations hire in-house developers and data scientists and use external AI tools, while others rely on external companies or have minimal analytics staff. Smaller federations have already used creative, data-driven methods: Curaçao, with a population of roughly 159,000, used diaspora tracking and geospatial scouting to build a 26-player squad in which only one player was born on the island. External platforms such as PLAIER and consultancies like Analytics FC are also working with teams to offer AI tooling and scouting support.

Still, the gap is not solely about access to an interface. Building and operating AI tools and the expert staff to interpret their outputs remain expensive. Analysts must also distill vast volumes of output into a few usable insights: more data can make the analyst’s job simultaneously easier and harder, producing many signals but requiring skill to condense them into actionable advice.

Why it matters

The World Cup is becoming a data competition as much as a sporting one. When every pass, run and shot can be quantified—150 million data points per match and ball IMUs logging 500 movements per second—the tactical edge moves toward teams that can process, interpret and act on those signals fastest. FIFA’s Football AI Pro reduces a barrier to entry, but federations that maintain dedicated analytics staff and bespoke tools retain advantages in speed, customization and long-term forecasting.

AI is already changing hiring and scouting decisions. Tools now can identify managers whose tactical strengths fit a pool of players, and teams use forecasting to shape squad composition and rest plans. Marcelo Bielsa’s old manual of roughly 300 staff-hours per opponent is now something teams aim to reproduce automatically.

What to watch

Whether Football AI Pro actually narrows competitive gaps will hinge on adoption and depth of use: watch which teams use the agent for tactical preparation versus those that still invest in in-house platforms and data scientists. Also watch regulations: FIFA’s director of innovation flagged the question of whether nations should be limited to FIFA-approved AI tools as an unresolved policy issue.