During the last decade, artificial intelligence (AI) has gradually become part of our daily lives, moving from the realm of science fiction to reality. The world of sports has not escaped this trend, and AI is now an integral part of many French disciplines such as football, rugby, and tennis. The use of data and statistics in sports is certainly not a new concept, but the emergence of AI has allowed for the optimal exploitation of this information to improve performance and decision-making.
The collaboration between high technology and rugby
Data scientist Sahbi Chaieb is at the heart of this collaboration between high technology and rugby. According to him, “the difference between data and artificial intelligence lies in the latter’s ability to rely on a large volume of data to perform so-called machine learning and make decisions or predict events.” Thus, thanks to an interactive AI platform, it is possible for the coaching staff of French rugby teams to objectify their intuitions by analyzing risks and opportunities for each option. Nicolas Buffa, video analyst for the French rugby team, explains that his role consists of extracting one or two essential pieces of information from this mass of data so that coaches can establish game plans and discuss them with the players.
Video tracking by AI in French football
For two seasons now, the Professional Football League has implemented a video tracking system in Ligue 1 and Ligue 2 competitions, transcribed by artificial intelligence. Thanks to these videos, combined with players’ GPS data, coaching staffs can access all crucial information such as average speed, maximum speed, distance covered, or decisive actions. Aurélien Dubearn, head of video analysis at Toulouse FC, explains that AI represents a real added value because it allows for considerable time savings: “To process two million lines [of data from a single match], it would take hours and hours of work.” However, he also emphasizes a constant concern: will AIs replace humans on the field? Although he acknowledges that AI will take an increasing role, he believes it will not be able to substitute human factors. “There will definitely be a department dedicated to artificial intelligence within teams, just as there is currently a department dedicated to video analysis,” he specifies.
The assessment of individual and collective performances through AI
Artificial intelligence thus allows for filtering and targeting essential information to evaluate and compare the individual performances of players, but also the results of implemented strategies. By providing an accurate and reliable digital report, AI thus completes the expertise of the coaching staff. According to Damien Comolli, president of Toulouse FC, these methods aim to “minimize the uncertainties and irrationalities present in football,” as he stated in L’Équipe. “With our budget, which is not one of the largest in Ligue 1, we must find solutions to be more effective,” added Aurélien Dubearn.
Artificial intelligence at the service of other French sports
Tennis is also affected by this technological revolution. Data analysis and artificial intelligence tools are multiplying to assist coaches in optimizing their players’ performances and best preparing for confrontations against their opponents. In conclusion, the advent of artificial intelligence in French sport opens new perspectives for improving performance and decision-making. However, it is important to keep in mind that sport remains primarily a matter of emotions and human interactions, which AI will never completely replace.
