The Goal That Almost Wasn't: Technology Steps Into the World Cup
With the world watching and millions of hearts racing, the 2022 FIFA Men's World Cup Final between Argentina and France was already being written into the history books as one of the greatest matches ever played. The match had gone to extra time, the score was locked in drama, and with just 12 minutes remaining, Lionel Messi — arguably the greatest footballer to ever grace the pitch — slotted the ball past the French goalkeeper to give Argentina a 3–2 lead.
But before the celebrations could fully ignite, a flag went up. A linesman had spotted something: Argentine forward Lautaro Martinez appeared to be in an offside position just before Messi made contact with the ball. In a moment that could define the entire tournament, the referee faced one of the most consequential calls in World Cup history. Was Martinez truly offside? The answer would determine whether one of the most iconic goals in modern football history would stand or be wiped from the record.
In previous World Cups, a decision like this would have rested almost entirely on the human eye — fallible, pressured, and often controversial for years afterward. But 2022 was different. For the very first time in the competition's storied history, referees had access to semi-automated offside technology, and it was about to prove its worth on the grandest stage imaginable.
What Is Semi-Automated Offside Technology (SAOT)?
Semi-automated offside technology, commonly known as SAOT, is an advanced computer vision and artificial intelligence system designed to detect whether a player is in an offside position with extraordinary speed and precision. The technology was developed by FIFA in collaboration with technology partners and officially deployed for the first time at the 2022 FIFA World Cup in Qatar.
At its core, SAOT works by using a network of dedicated cameras installed around the stadium — typically around 12 cameras — that track up to 29 data points on each player's body at a rate of 50 times per second. These body points include limbs, torso, and head positions, generating a real-time three-dimensional skeletal model of every player on the pitch at any given moment.
The system also tracks the ball itself using a dedicated sensor embedded inside the match ball, which communicates its exact position 500 times per second. By combining player skeletal data with precise ball-tracking information, SAOT can determine the exact moment a pass is played and automatically calculate whether any attacking player's body part — even a shoulder or a toe — was closer to the goal line than the second-to-last defender.
When a potential offside situation is detected, the system generates a three-dimensional animated image that can be shared with the Video Assistant Referee (VAR) team within seconds, far faster than traditional frame-by-frame video analysis. The result is a decision that is not only faster but measurably more accurate than what human officials could achieve alone.
SAOT in Action: The Messi Goal That Stood
Returning to that defining moment in the World Cup Final, SAOT's analysis of the Martinez situation was swift and clear. The system processed its data, generated the 3D image, and revealed that a French defender was positioned ever so slightly closer to the goal line than Martinez at the precise moment the ball was played. It was a marginal difference — the kind that no human linesman could reliably detect in real time — but it was enough. Martinez was, in fact, onside.
The referee received the VAR communication, reviewed the image, and made the call: the goal stood. Argentina led 3–2. The decision was correct, and it had been delivered with a confidence and speed that traditional officiating methods simply could not have matched.
Argentina would go on to win the World Cup on penalties, but the significance of that single SAOT-assisted call cannot be overstated. It demonstrated in the most dramatic fashion possible that artificial intelligence had a legitimate and valuable role to play in elite sport.
Why AI in Sports Officiating Matters
The introduction of SAOT represents a broader and accelerating trend of artificial intelligence entering the world of professional sports. From player performance analytics and injury prevention to broadcast enhancement and fan engagement, AI is reshaping every corner of the sporting ecosystem. But its role in officiating carries particular weight because the stakes are so extraordinarily high.
- Accuracy: Human officials, no matter how skilled or experienced, have physical and cognitive limitations. AI systems like SAOT can process data at speeds and volumes that no human can match, reducing the likelihood of incorrect calls that can alter the outcomes of major competitions.
- Speed: One of the biggest criticisms of VAR since its introduction has been the time it takes to review decisions, disrupting the flow of matches and frustrating players and fans alike. SAOT dramatically reduces review time, with offside decisions typically delivered within 30 seconds compared to several minutes using older video review methods.
- Transparency: The 3D animated images generated by SAOT can be displayed on stadium screens and broadcast to television audiences around the world, making the basis for a decision visible and understandable to everyone watching.
- Consistency: By removing a portion of subjectivity from officiating, AI-assisted tools help ensure that the rules are applied consistently across all matches, regardless of the stakes or the pressure on the officials involved.
The Limits and Future of AI Officiating
Despite its impressive debut, SAOT is not without its limitations and critics. Some football purists argue that the level of precision the system introduces — flagging offsides by fractions of centimeters — goes beyond the spirit of the rule, which was never designed to be applied at such microscopic tolerances. Others raise questions about the computational assumptions built into the skeletal tracking models and whether slight errors in body-point detection could introduce new forms of inaccuracy.
There are also broader philosophical questions about how much decision-making in sport should be delegated to machines and what that means for the human drama and unpredictability that makes football — and sport in general — so compelling.
Nevertheless, FIFA has committed to expanding the use of SAOT beyond the World Cup, with plans to roll the technology out to more domestic leagues and international competitions in the coming years. As the hardware becomes less expensive and the algorithms grow more refined, AI-assisted officiating is likely to become a standard feature of top-level football worldwide.
A Turning Point for Technology and Sport
The 2022 World Cup Final will be remembered for Messi's brilliance, for Mbappé's stunning hat-trick, for the penalties that decided it all. But it will also be remembered as the moment that AI-powered officiating technology proved itself on the world's biggest stage. When it mattered most — when the weight of the World Cup itself rested on a single call — SAOT delivered the right answer, quickly and transparently.
As artificial intelligence continues to evolve and find new applications across every industry, its growing role in sports serves as one of the most visible and accessible examples of what this technology can do. Semi-automated offside technology is not replacing the referee. It is making the referee better, faster, and more accurate — and for fans, players, and the integrity of the game itself, that is a result worth celebrating.