During the 2022 World Cup final between Argentina and France, a crucial offside call determined the match's outcome. With minutes left in extra time, Lionel Messi scored to put Argentina ahead 3-2, but refereeing officials needed to verify whether Lautaro Martinez was in an illegal position. The semi-automated offside technology (SAOT) system produced an image showing only Martinez's fingers had crossed the offside line, and since hands don't count for offside decisions, the goal stood.

MIT Sports Lab played a pivotal role in validating this technology for FIFA. When third-party providers began offering skeletal tracking data around 2021, the organization lacked the technical expertise to properly assess the massive datasets. The lab's researchers identified serious issues with early data, including impossible player positions and distorted limb measurements that would have compromised officiating accuracy.

The system processes over 108,900 data points per second during matches, combining 12 high-speed cameras capturing 22 players, referees, and ball position data. Each player has 29 joints tracked in 3D space, while embedded ball chips record position and velocity 500 times per second. This generates over a dozen gigabytes of tracking data per game.

Founded in 2015 by mechanical engineering professor Anette Hosoi and entrepreneur Christina Chase, the MIT Sports Lab bridges engineering expertise with sports industry needs. The lab collaborates with FIFA, NBA, NFL, and Adidas to solve real athletic challenges through data science and technology, proving that academic research can directly impact world-class competition.